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Wang S, Li G, Ji X, Wang Y, Xu B, Tang J, Guo C. Machine learning-driven assessment of heavy metal contamination in the impounded lakes of China's South-to-North Water Diversion Project: Identifying spatiotemporal patterns and ecological risks. JOURNAL OF HAZARDOUS MATERIALS 2024; 480:135983. [PMID: 39348756 DOI: 10.1016/j.jhazmat.2024.135983] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/22/2024] [Revised: 09/22/2024] [Accepted: 09/25/2024] [Indexed: 10/02/2024]
Abstract
The Eastern Route of China's South-to-North Water Diversion Project (SNWDP-ER) traverses through impounded lakes that are potentially vulnerable to heavy metals (HMs) contamination although the understanding remains elusive. This study employed machine learning approaches, including super-clustering of Self-Organizing Map (SOM) and Robust Principal Component Analysis (RPCA), to elucidate the spatiotemporal patterns and assess ecological risks associated with HMs in the surface sediments of Gao-Bao-Shaobo Lake (GBSL) and Dongping Lake (DPL). We collected 184 surface sediments from 47 stations across the two important impounded lakes over four seasons. The results revealed higher HMs concentrations in the south-central GBSL and west-central DPL, with a notable increase in contamination in autumn. The comprehensive risk assessment, utilizing various indicators such as the Sediment Quality Guidelines (SQGs), Improved Potential Ecological Risk Index (IPERI), Geo-accumulation Index (Igeo), Contamination Factor (CF), and Enrichment Factor (EF), identified arsenic (As), cadmium (Cd), nickel (Ni), and chromium (Cr) as primary contaminants of concern. Positive Matrix Factorization (PMF) model, coupled with Spearman analysis, attributed over 70 % of HMs pollution to anthropogenic activities. This research provides a nuanced understanding of HMs pollution in the context of large-scale water diversion projects and offers a scientific basis for targeted pollution mitigation strategies.
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Affiliation(s)
- Sengyang Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China; College of Fisheries, Huazhong Agriculture University, Wuhan, Hubei 430070, China
| | - Guangyu Li
- College of Fisheries, Huazhong Agriculture University, Wuhan, Hubei 430070, China
| | - Xiang Ji
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
| | - Yang Wang
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
| | - Bo Xu
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China
| | - Jianfeng Tang
- Changjiang Basin Ecology and Environment Monitoring and Scientific Research Center, Changjiang Basin Ecology and Environment Administration, Ministry of Ecology and Environment, Wuhan, Hubei 430010, China.
| | - Chuanbo Guo
- Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei 430072, China.
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Nong X, Luo K, Lin M, Chen L, Long D. Relationships between water quality of a long-distance inter-basin water diversion project and air pollution emissions along the canal: Distributions, lag effects, and nonlinear responses. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 361:124813. [PMID: 39182809 DOI: 10.1016/j.envpol.2024.124813] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/21/2024] [Revised: 08/16/2024] [Accepted: 08/22/2024] [Indexed: 08/27/2024]
Abstract
Understanding and quantifying the influences and contributions of air pollution emissions on water quality variations is critically important for surface water quality protection and management. To address this, we created a five-year daily data matrix of six water quality indicators-permanganate index (CODMn), NH3-N, pH, turbidity, conductivity, and dissolved organic matter (DOM)-and six air pollution indicators-O3, CO, NO2, SO2, 2.5 μm particulate matter (PM2.5), and inhalable particles (PM10)-using data from seven national monitoring stations along the world's longest water-diversion project, the Middle Route of the South-to-North Water Diversion Project in China (MR-SNWD). Multivariate techniques (Mann-Kendall, Spearman's correlation, lag correlation, and Generalized Additive Models [GAMs]) were applied to examine the nonlinear relationships and lag effects of air pollution on water quality. Air pollution and water quality exhibited marked spatial heterogeneity along the MR-SNWD, with all water quality parameters meeting Class I or II national standards and the air pollution indicators exceeding those thresholds. Except for CODMn and DOM, the other water quality and air pollution indicators exhibited significant seasonal differences. Air pollution exhibited significant lag effects on water quality at the northern stations, with NO2, SO2, PM2.5, and PM10 being highly correlated with changes in pH, with an average lag of 17 d. Based on the GAMs, lag effects enhanced the significant nonlinear relationships between air pollution and water quality, increasing the average deviance explained for CODMn, NH3-N, and pH by 93%, 24%, and 41%, respectively. These findings provide a scientific basis for protecting water quality along the long-distance inter-basin water-diversion project under anthropogenic air pollution.
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Affiliation(s)
- Xizhi Nong
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, College of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China; State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China
| | - Kunting Luo
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, College of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China
| | - Minzhi Lin
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, College of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China
| | - Lihua Chen
- State Key Laboratory of Featured Metal Materials and Life-cycle Safety for Composite Structures, College of Civil Engineering and Architecture, Guangxi University, Nanning, 530004, China
| | - Di Long
- State Key Laboratory of Hydroscience and Engineering, Tsinghua University, Beijing, 100084, China.
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Yu H, Shi X, Sun B, Zhao S, Wang S, Yang Z, Han Y, Kang R, Chen L. Effects of water replenishment on lake water quality and trophic status: An 11-year study in cold and arid regions. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2024; 281:116621. [PMID: 38901171 DOI: 10.1016/j.ecoenv.2024.116621] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/24/2024] [Revised: 06/10/2024] [Accepted: 06/18/2024] [Indexed: 06/22/2024]
Abstract
Water replenishment is an important measure for maintaining and improving the aquatic environmental quality of lakes. The problems of water quality deterioration and water shortage can be alleviated by introducing water of higher quality. However, the mechanism of water replenishment in the improvement of the water quality and trophic status of lakes remains unclear. This study investigated water replenishment in Wuliangsuhai Lake (WLSHL) from 2011 to 2021 by collecting seasonal water samples and conducting laboratory analyses. Water replenishment was found to be capable of significantly improving lake water quality and alleviating eutrophication. It is worth noting that single long-term water replenishment measures have limitations in improving the water quality and trophic status. The whole process was divided into three stages according to the water quality and trophic status, namely the buffer period, decline period, and stable period. During the buffer period, the water quality and trophic status showed only slight improvement because of the small amount of water replenishment and the low proportion of higher-quality water from the Yellow River. In the decline period, with increasing water replenishment, the proportion of higher-quality water from the Yellow River gradually increased, leading to the most significant and stable degree of improvement. In the stable period, increases in the amount of water replenishment had little effect on improving the water quality and trophic status, which is attributable to the balance between internal pollutants (lake water-sediment), and the balance between internal-external pollutants (lake water-irrigation return flow + Yellow River water). On the premise of stable water quality, with eutrophication control as the management goal, the optimal water replenishment would be approximately 10.58 ×108 m3. Further necessary measures for solving aquatic environmental problems include the combination of sediment dredging, optimization of the water replenishment route, and implementation of quality management in water replenishment.
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Affiliation(s)
- Haifeng Yu
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Xiaohong Shi
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China; State Gauge and Research Station of Wetland Ecosystem, Wuliangsuhai Lake, Bayan Nur, Inner Mongolia 014404, China; Inner Mongolia Water Resource Protection and Utilization Key Laboratory, Hohhot 010018, China.
| | - Biao Sun
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Shengnan Zhao
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Shihuan Wang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Zhaoxia Yang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Yue Han
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Ruli Kang
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
| | - Lixin Chen
- Water Conservancy and Civil Engineering College, Inner Mongolia Agricultural University, Hohhot 010018, China
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He L, Chen G, Wang X, Shen J, Zhang H, Lin Y, Shen Y, Lang F, Gong C. Pollution Characteristics and Risk Assessment of Heavy Metals in the Sediments of the Inflow Rivers of Dianchi Lake, China. TOXICS 2024; 12:322. [PMID: 38787101 PMCID: PMC11125836 DOI: 10.3390/toxics12050322] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/13/2024] [Revised: 04/23/2024] [Accepted: 04/25/2024] [Indexed: 05/25/2024]
Abstract
To explore the contamination status and identify the source of the heavy metals in the sediments in the major inflow rivers of Dianchi Lake in China, sediment samples were collected and analyzed. Specifically, the distribution, source, water quality, and health risk assessment of the heavy metals were analyzed using correlation analysis (CA), principal component analysis (PCA), the heavy metal contamination factor (Cf), the pollution load index (PLI), and the potential ecological risk index (PERI). Additionally, the chemical fractions were analyzed for mobility characteristics. The results indicate that the average concentration of the heavy metals in the sediment ranked in the descending order of Zn > Cr > Cu > Pb > As > Ni > Cd > Hg, and most of the elements existed in less-mobile forms. The Cfwas in the order of Hg > Zn > Cd > As > Pb > Cr > Ni; the accumulation of Hg, Zn, Cd, and As was obvious. Although the spatial variability of the heavy metal contents was pronounced, the synthetical evaluation index of the PLI and PERI both reached a high pollution level. The PCA and CA results indicate that industrial, transportation, and agricultural emissions were the dominant factors causing heavy metal pollution. These results provide important data for improving water resource management efficiency and heavy metal pollution prevention in Dianchi Lake.
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Affiliation(s)
- Liwei He
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Guangye Chen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Xinze Wang
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Jian Shen
- Yunnan Dali Research Institute of Shanghai Jiao Tong University, Dali 671000, China;
- National Observation and Research Station of Erhai Lake Ecosystem in Yunnan, Dali 671000, China
| | - Hongjiao Zhang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yuanyuan Lin
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Yang Shen
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Feiyan Lang
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
| | - Chenglei Gong
- School of Chemistry and Chemical Engineering, Kunming University, Kunming 650214, China
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5
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Sun R, Wei J, Zhang S, Pei H. The dynamic changes in phytoplankton and environmental factors within Dongping Lake (China) before and after the South-to-North Water Diversion Project. ENVIRONMENTAL RESEARCH 2024; 246:118138. [PMID: 38191041 DOI: 10.1016/j.envres.2024.118138] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 12/17/2023] [Accepted: 01/05/2024] [Indexed: 01/10/2024]
Abstract
Dongping Lake is one of the most important regulation and storage lakes along the eastern route of the South-to-North Water Diversion Project in China, the water quality condition of which directly influences the safety of water diverting, because it serves as a Yangtze River water redistribution control point. However, the changes in algae, and in environmental factors affecting their community structures, before and after the water diversion project are rarely reported. In this study, the temporal variations of phytoplankton abundance were examined based on monthly samples collected at three stations from May 2010 to April 2022. The total abundance of algae greatly decreased after the water diversion project was implemented, with a relatively stable biodiversity and evenness before and after the water translocation. Multiple statistical methods were used together with the water quality indices (WQIs) and the nutrient status index (TSIM) to evaluate overall water condition and analyse relationships among environmental factors. The WQIs demonstrated a general "Good" water quality with a seasonal differentiation, and that water conditions during water transfer periods were better than during non-water transfer periods, which may be ascribed to the improved hydraulic conditions and purified water environment during water transfer periods. Redundancy analysis showed that water temperature, ammonia nitrogen, water transparency, and total phosphorus were the most important environmental factors, with relatively decreased contribution rates towards phytoplankton communities after the water translocation. Importantly, some dominant phytoplankton genera of Chlorophyta, Bacillariophyceae, and Cyanophyceae were similarly affected by water transparency, and nitrogen and phosphorus nutrients in summer after the water translocation. These research findings helped us gain a comprehensive understanding of the changing patterns of water quality and microalgae and their relationships before and after the water diversion project, providing a guidance for future lake management in regulating hydraulic conditions and improving water quality of Dongping Lake.
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Affiliation(s)
- Rong Sun
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China
| | - Jielin Wei
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Shasha Zhang
- School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China
| | - Haiyan Pei
- Department of Environmental Science and Engineering, Fudan University, Shanghai, 200433, China; School of Environmental Science and Engineering, Shandong University, Qingdao, 266237, China; Shandong Provincial Engineering Center on Environmental Science and Technology, Jinan, 250061, China; Institute of Eco-Chongming (IEC), Shanghai, 202162, China.
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Sharma AR, Bordoloi R, Paul A, Gyanendra Y, Tripathi OP. Water quality and geochemical facie of high-altitude lakes in Tawang, Eastern Himalaya, India. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:24492-24511. [PMID: 38441742 DOI: 10.1007/s11356-024-32712-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Accepted: 02/26/2024] [Indexed: 04/07/2024]
Abstract
High-altitude lakes (HALs) can be used as a supplement or alternative source of water in areas where there is a water shortage. When these lakes are efficiently managed, they can supply more water resources to fulfil the increasing demand. Water quality assessment aids in the identification of adequate and safe drinking water sources. It minimizes threats to the public's health by making sure that lake water extraction fulfills safety and health regulations. Water quality and hydrogeochemical study was conducted on six HALs of the Tawang district of Arunachal Pradesh during the year 2022. The water quality index (WQI) values varied from excellent to poor (33.87 to 101.95). Lake 6 stands out with its exceptional water quality as it had the minimum average WQI value of 52.98. In contrast, Lake 5 had the lowest water quality among the studied lakes with the maximum average WQI value of 95.31. However, the water might not be safe to drink due to the elevated levels of fluoride in these lakes. It is crucial to address and minimize the high fluoride levels to ensure the safety and acceptability of the water for consumption. The Piper diagram showed that Ca2+ > Mg2+ > Na+ > K+ and HCO3- > Cl- > SO42-, respectively, were the primary cations and anions present in these lakes. The Gibbs diagram also demonstrated the effect of rock weathering and precipitation dominance on the water chemistry in the research area. These results provide insightful information about the water quality of HALs, which is essential information for concerned government departments and agencies to manage water issues more efficiently. Based on current research, the HALs in this region have a lot of potential to meet the growing demand for drinking water.
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Affiliation(s)
- Aribam Rocky Sharma
- Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed to Be University), Nirjuli, Arunachal Pradesh, 791109, India
| | - Reetashree Bordoloi
- Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed to Be University), Nirjuli, Arunachal Pradesh, 791109, India
| | - Ashish Paul
- Department of Forestry, North Eastern Regional Institute of Science and Technology (Deemed to Be University), Nirjuli, Arunachal Pradesh, 791109, India.
| | - Yumnam Gyanendra
- Department of Forestry and Environmental Science, Manipur University, Canchipur, Imphal, 795003, Manipur, India
| | - Om Prakash Tripathi
- Department of Environmental Science, Mizoram University, Tanhril, Aizawl, 796004, Mizoram, India
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Zhang Y, Gao M, Liu R, Cai P, Gao J, Li K, Cai Y. Hydro-meteorological factors and inflowing nutrients drive water quality in an impounded lake of China's South-to-North Water Diversion Project. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:28198-28209. [PMID: 38538996 DOI: 10.1007/s11356-024-33028-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2023] [Accepted: 03/17/2024] [Indexed: 04/30/2024]
Abstract
Freshwater lakes play a vital role in global hydrological and biogeochemical cycles, serving various functions and maintaining ecological balance. However, freshwater resources are more vulnerable to deterioration due to multiple stressors. Gaoyou Lake is one of the impounded lakes of the Eastern route of South-to-North Water Diversion Project in China, and as an important source of drinking water, the lake has been routinely monitored. Long-term monitoring of water quality in Gaoyou Lake showed that concentrations of nutrients and chlorophyll a as well as trophic state in the water column increased while water transparency decreased, indicating that the water quality has declined during the last 12 years. Specifically, there was a notable and statistically significant increase in chlorophyll a concentrations, averaging an annual rate of 9.9%. Despite a slight decline in trophic level index until 2014, subsequent years saw an upward trend, ranging from 50.7 to 56.4 and indicating a light eutrophic state. Spatially, the western area displayed higher nutrient and chlorophyll a concentrations. Changes in hydro-meteorological variables and nutrients from inflowing rivers were the main factors correlated with water quality in Gaoyou Lake. Thus, pollution source apportionment and management within Huaihe River basin should be considered to reduce the external loadings of nutrients in order to improve and sustain long-term water quality.
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Affiliation(s)
- You Zhang
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
- Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, 75007, Uppsala, Sweden
| | - Mingyuan Gao
- Jiangsu Province Hydrology and Water Resources Investigation Bureau, Nanjing, 210029, China
| | - Rongkun Liu
- China Design Group Co., Ltd, Nanjing, 210014, China
| | - Ping Cai
- Jiangdu Water Conservancy Project Management Office of Jiangsu Province, Yangzhou, 225200, China
| | - Junfeng Gao
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Kuanyi Li
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China
| | - Yongjiu Cai
- Key Laboratory of Lake and Watershed Science for Water Security, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
- Poyang Lake Wetland Research Station, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Jiujiang, 332899, China.
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Narvaez-Montoya C, Mahlknecht J, Torres-Martínez JA, Mora A, Pino-Vargas E. FlowSOM clustering - A novel pattern recognition approach for water research: Application to a hyper-arid coastal aquifer system. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 915:169988. [PMID: 38211857 DOI: 10.1016/j.scitotenv.2024.169988] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/14/2023] [Revised: 01/04/2024] [Accepted: 01/05/2024] [Indexed: 01/13/2024]
Abstract
Monitoring and understanding of water resources have become essential in designing effective and sustainable management strategies to overcome the growing water quality challenges. In this context, the utilization of unsupervised learning techniques for evaluating environmental tracers has facilitated the exploration of sources and dynamics of groundwater systems through pattern recognition. However, conventional techniques may overlook spatial and temporal non-linearities present in water research data. This paper introduces the adaptation of FlowSOM, a pioneering approach that combines self-organizing maps (SOM) and minimal spanning trees (MST), with the fast-greedy network clustering algorithm to unravel intricate relationships within multivariate water quality datasets. By capturing connections within the data, this ensemble tool enhances clustering and pattern recognition. Applied to the complex water quality context of the hyper-arid transboundary Caplina/Concordia coastal aquifer system (Peru/Chile), the FlowSOM network and clustering yielded compelling results in pattern recognition of the aquifer salinization. Analyzing 143 groundwater samples across eight variables, including major ions, the approach supports the identification of distinct clusters and connections between them. Three primary sources of salinization were identified: river percolation, slow lateral aquitard recharge, and seawater intrusion. The analysis demonstrated the superiority of FlowSOM clustering over traditional techniques in the case study, producing clusters that align more closely with the actual hydrogeochemical pattern. The outcomes broaden the utilization of multivariate analysis in water research, presenting a comprehensive approach to support the understanding of groundwater systems.
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Affiliation(s)
- Christian Narvaez-Montoya
- Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey, N.L. 64849, Mexico
| | - Jürgen Mahlknecht
- Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey, N.L. 64849, Mexico.
| | - Juan Antonio Torres-Martínez
- Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey, N.L. 64849, Mexico
| | - Abrahan Mora
- Escuela de Ingenieria y Ciencias, Tecnologico de Monterrey, Ave. Eugenio Garza Sada 2501, Monterrey, N.L. 64849, Mexico
| | - Edwin Pino-Vargas
- Facultad de Ingenieria Civil, Arquitectura y Geotecnia, Universidad Nacional Jorge Basadre Grohmann, Av. Miraflores S/N, Tacna 23000, Peru
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Wang Y, Zhang P, Yang C, Guo Y, Gao P, Wang T, Liu Y, Xu L, Zhou G. Responses in Plant Growth and Root Exudates of Pistia stratiotes under Zn and Cu Stress. PLANTS (BASEL, SWITZERLAND) 2024; 13:736. [PMID: 38475582 DOI: 10.3390/plants13050736] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/23/2024] [Accepted: 02/29/2024] [Indexed: 03/14/2024]
Abstract
At present, the situation regarding heavy metal pollution in aquatic environments is becoming more and more serious. The bioaccumulation of heavy metals in aquatic plants causes obvious phytotoxicity, which can also induce secondary pollution in the aquatic environment. Zinc and copper, as indispensable elements for plant growth, are also prominent heavy metals in water pollution in China, and their concentrations play a crucial role in plant growth. In this study, we investigated the response of Pistia stratiotes (P. stratiotes) to different concentrations of Zn and Cu, and the results showed that plant growth and photosynthesis were inhibited under both Zn (1, 2, 4, and 8 mg/L) and Cu (0.2, 0.4, 0.8, and 1 mg/L) stresses. The relative growth rates of P. stratiotes under 8 mg/L Zn or 1 mg/L Cu stress were 6.33% and 6.90%, which were much lower than those in the control group (10.86%). Meanwhile, Zn and Cu stress caused insignificant change in the relative water contents of plants. The decrease in phlorophyll fluorescence parameters and chlorophyll contents suggested the significant photoinhibition of Zn and Cu stress. Chemical analysis of plant root exudates showed that the root secretion species obtained by gas chromatography-mass spectrometry (GC-MS) mainly included amino acids, alkanes, aldehydes, ketones, phenols, and more. Compared with the control group, the influence of Zn or Cu on the reduction in relative amounts of exudates was greater than that on the increase. The results of this study provide important data for the utilization of P. stratiotes in heavy metal-polluted water environments.
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Affiliation(s)
- Yujie Wang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Pan Zhang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Canhua Yang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Yibai Guo
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Panpan Gao
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Tong Wang
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Yu Liu
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
| | - Lina Xu
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
- Shandong Key Laboratory of Eco-Environmental Science for the Yellow River Delta, Binzhou University, Binzhou 256600, China
| | - Gongke Zhou
- College of Landscape Architecture and Forestry, Qingdao Agricultural University, Qingdao 266109, China
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10
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Tao Y, Pang Y, Luo M, Jiang X, Huang J, Li Z. Multi-media distribution and risk assessment of per- and polyfluoroalkyl substances in the Huai River Basin, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 914:169581. [PMID: 38151127 DOI: 10.1016/j.scitotenv.2023.169581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 12/19/2023] [Accepted: 12/19/2023] [Indexed: 12/29/2023]
Abstract
The widespread existence, environmental persistence, and risks of per- and polyfluoroalkyl substances (PFASs) have attracted widespread attention. Herein, the distribution and risk assessment of PFASs were investigated from the Huai River Basin. The ranges in different media were 29.83-217.96 (average of 75.82 ± 35.64 ng/L) in water, 0.17-9.55 ng/g (2.56 ± 2.83 ng/g) in sediments, and 0.21-9.76 ng/g (3.43 ± 3.07 ng/g) in biota. Perfluoropentanoic acid (PFPeA) was the most prevalent PFAS in surface water, followed by perfluorooctanoic acid (PFOA) and perfluorobutanoic acid (PFBA), accounted for 42.62 %, 22.23 % and 17.72 % of the total concentrations of the PFASs analyzed, respectively. PFBA was dominant in sediments, accounting for 60.37 % of the total concentrations of the PFASs analyzed. Perfluorooctane sulfonate (PFOS) was the main pollutant in biota, and the highest concentration (5.09 ng/g) was found in Channa argus. Considering the measured concentrations in water, sediments and biota, the sediment-water partition coefficients (log Kd) and bioaccumulation factors (BAF) of PFASs were determined. The log Kd of the PFASs differed among those with a different carbon chain length, C7-C11 PFASs were more likely to be adsorbed onto sediments as the carbon chain length increases, and PFUnDA and PFDA showed the higher BAF value in Channa argus. PFASs in the Huai River Basin posed an acceptable ecological risk, and long-chain PFAS contamination provided green algae with a higher potential ecological risk. Compared to drinking water, aquatic products constituted a higher PFASs threat to human health, especially for children. The highest HQ was found in PFOS, with an HQmax of 0.97-4.32. Residents in the Huai River Basin should reduce their intake of Channa argus, Coilia nasus, and Carassius auratus, children aged 2 to 4 are limited to consuming no more than 6.9 g/d, 9.7 g/d, and 16.6 g/d, respectively.
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Affiliation(s)
- Yanru Tao
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Yan Pang
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China.
| | - Mingke Luo
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Xia Jiang
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory for Lake Pollution Control, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
| | - Jiahao Huang
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; School of Environmental Science and Engineering, Suzhou University of Science and Technology, Suzhou 215009, China
| | - Zechan Li
- National Engineering Laboratory for Lake Pollution Control and Ecological Restoration, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; College of Resource and Environment, Anqing Normal University, Anqing 246133, China
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11
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Hao Z, Qian J, Zheng F, Lin B, Xu M, Feng W, Zou X. Human-influenced changes in pollution status and potential risk of sediment heavy metals in Xincun Bay, a typical lagoon of Hainan, China. MARINE POLLUTION BULLETIN 2024; 199:115949. [PMID: 38134869 DOI: 10.1016/j.marpolbul.2023.115949] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2023] [Revised: 12/12/2023] [Accepted: 12/15/2023] [Indexed: 12/24/2023]
Abstract
Pollution status and ecological risks associated with sediment heavy metals (Cu, Pb, Zn, Cd, and Cr) were investigated around Xincun Bay, assessing their spatial variations and relationship with sediment physiochemical factors. Higher concentrations and associated risks were observed in the central region, where mariculture activities were concentrated, compared to non-maricultured areas. Despite with overall low concentrations, Cd had a higher ecological risk. Correlation and principal component analyses revealed similar sources for all metals in Xincun Bay. Heavy metal concentrations varied with expansion of mariculture operations in terms of quantity and scale, confirming the influence of mariculture activities. Sediments around mariculture had higher contents of clay, silt, and total organic carbon (TOC), and finer particle sizes. Quantitative analyses through correlation and linear regression indicated that TOC significantly regulated heavy metal concentration and distribution (p < 0.05). Considering its significant association with TOC, the influence of mean grain size should not be overlooked.
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Affiliation(s)
- Zhe Hao
- School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China
| | - Jian Qian
- Key Laboratory of Engineering Oceanography, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Fangqin Zheng
- Key Laboratory of Engineering Oceanography, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Bo Lin
- Key Laboratory of Engineering Oceanography, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Min Xu
- School of Marine Science and Engineering, Nanjing Normal University, Nanjing 210023, China.
| | - Weihua Feng
- Key Laboratory of Engineering Oceanography, Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Xinqing Zou
- School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing 210093, China; Collaborative Innovation Center of South China Sea Studies, Nanjing University, Nanjing 210093, China; Key Laboratory of Coast and Island Development (Nanjing University), Ministry of Education, Nanjing 210093, China.
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12
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Song X, He S, Li R, Mao Z, Ge S, Bai X, Ji C. Evaluation of metal pollution characteristics using water and moss in the Luanchuan molybdenum mining area, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:5384-5398. [PMID: 38123772 DOI: 10.1007/s11356-023-31457-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Accepted: 12/06/2023] [Indexed: 12/23/2023]
Abstract
Luanchuan is rich in molybdenum resources, and mining activities are frequent, but over-mining can cause serious metal pollution to the local environment. To explore the degree of metal pollution caused by mining activities, the content characteristics and spatial distribution of metals in mining areas were studied by measuring the concentrations of Fe, Mn, Zn, Ba, Mo, Cu, Cr, Co, V, and W in surface water and mosses of mining areas. In addition, the metal pollution index (HPI), contamination factor (CF), and pollution load index (PLI) were used to evaluate metal pollution, and factor analysis was used to analyze the sources of metals. The results of the analysis of surface water at the mine site indicate the most abundant element in surface water, with a maximum concentration of 3713.8 μg/L, and its content far exceeds the water quality standard of Class III of the Environmental Quality Standard for Surface Water. The results of the HPI analysis showed that nearly 90% of the surface water was moderately contaminated (HPI ≥ 15). The results of the analysis of atmospheric deposition at the mine site confirm that the metal elements with a high threat to the atmospheric environment are Mo and W. The results of PLI indicate that the level of atmospheric deposition pollution in the study area is severe (PLI > 4). Factor analysis indicated that rock weathering and mining activities were the main sources of metals. This study provides a theoretical basis for the investigation and control of metal pollution in similar metal mining areas.
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Affiliation(s)
- Xiangyi Song
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
| | - Shilong He
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China.
| | - Ruogu Li
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
| | - Zhen Mao
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
| | - Sijie Ge
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
| | - Xiangyu Bai
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
| | - Chuning Ji
- School of Environment Science and Spatial Informatics, China University of Mining and Technology, No. 1 Daxue Road, Xuzhou, Jiangsu, 221116, P.R. China
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13
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Wang X, Yang Y, Wan J, Chen Z, Wang N, Guo Y, Wang Y. Water quality variation and driving factors quantitatively evaluation of urban lakes during quick socioeconomic development. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 344:118615. [PMID: 37454450 DOI: 10.1016/j.jenvman.2023.118615] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/12/2023] [Revised: 06/27/2023] [Accepted: 07/10/2023] [Indexed: 07/18/2023]
Abstract
Rapid urbanisation has caused a significant impact on the ecological environment of urban lakes in the world. To maintain the harmonious development of urban progress and water quality, it is essential to evaluate water quality variation and explore the driving factors quantitatively. A comprehensive evaluation method with cluster analysis and Kriging interpolation was used to explore the spatiotemporal variation in a typical urban lake in China, Chaohu Lake, from 2011 to 2020. The correlation between water quality and socioeconomic factors was evaluated by Pearson correlation analysis. Results indicated that: total phosphorus (TP) and total nitrogen (TN) were the key pollution parameters of Chaohu Lake. The pollution situation was gradually improving, however, and the improvement in chemical oxygen demand (COD) is more evident due to anthropogenic control. The spatial heterogeneity of water quality in Chaohu Lake is remarkable, and the water quality is poor in the west but better in the east. Natural attributes of lakes and external load were the main reasons for the spatial heterogeneity. The western residential areas of Chaohu Lake Basin (CLB) are concentrated, and a large amount of industrial and domestic sewage exacerbates water pollution in the west of tributaries. In contrast, the implementation of water environmental governance policies in recent years has alleviated water pollution. From 2011 to 2020, water quality has improved by 23%-35% in the west and 7%-14% in the east. This study provided a framework for quantitatively assessing water quality variation and its driving forces in urban lakes.
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Affiliation(s)
- Xiaoyu Wang
- Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China
| | - Yinqun Yang
- Changjiang Water Resources Protection Institute, Wuhan, 430051, China
| | - Jing Wan
- Hubei Provincial Academy of Eco-environmental Sciences, Wuhan, 430064, PR China
| | - Zhuo Chen
- Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China
| | - Nan Wang
- Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China
| | - Yanqi Guo
- Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China
| | - Yonggui Wang
- Hubei Key Laboratory of Regional Ecology and Environmental Change, School of Geography and Information Engineering, China University of Geosciences, Wuhan, 430074, China.
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14
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Licen S, Astel A, Tsakovski S. Self-organizing map algorithm for assessing spatial and temporal patterns of pollutants in environmental compartments: A review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 878:163084. [PMID: 36996982 DOI: 10.1016/j.scitotenv.2023.163084] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Revised: 02/23/2023] [Accepted: 03/22/2023] [Indexed: 05/13/2023]
Abstract
The evaluation of the spatial and temporal distribution of pollutants is a crucial issue to assess the anthropogenic burden on the environment. Numerous chemometric approaches are available for data exploration and they have been applied for environmental health assessment purposes. Among the unsupervised methods, Self-Organizing Map (SOM) is an artificial neural network able to handle non-linear problems that can be used for exploratory data analysis, pattern recognition, and variable relationship assessment. Much more interpretation ability is gained when the SOM-based model is merged with clustering algorithms. This review comprises: (i) a description of the algorithm operation principle with a focus on the key parameters used for the SOM initialization; (ii) a description of the SOM output features and how they can be used for data mining; (iii) a list of available software tools for performing calculations; (iv) an overview of the SOM application for obtaining spatial and temporal pollution patterns in the environmental compartments with focus on model training and result visualization; (v) advice on reporting SOM model details in a paper to attain comparability and reproducibility among published papers as well as advice for extracting valuable information from the model results is presented.
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Affiliation(s)
- Sabina Licen
- Department of Chemical and Pharmaceutical Sciences, University of Trieste, 34127 Trieste, Italy.
| | - Aleksander Astel
- Department of Environmental Chemistry, Pomeranian University in Słupsk, ul. Arciszewskiego 22b, 76-200, Słupsk, Poland.
| | - Stefan Tsakovski
- Chair of Analytical Chemistry, Faculty of Chemistry and Pharmacy, University of Sofia "St. Kliment Ohridski", 1 J. Bourchier Blvd., Sofia 1164, Bulgaria.
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15
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Lu Q, Xu X, Fang W, Wang H, Liang Z, Cai R, Hu Z, Shim H, Rossetti S, Wang S. Metal(loid)s in organic-matter-polluted urban rivers in China: Spatial pattern, ecological risk and reciprocal interactions with aquatic microbiome. JOURNAL OF HAZARDOUS MATERIALS 2023; 457:131781. [PMID: 37315412 DOI: 10.1016/j.jhazmat.2023.131781] [Citation(s) in RCA: 9] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 05/16/2023] [Accepted: 06/03/2023] [Indexed: 06/16/2023]
Abstract
Black-odorous urban rivers can serve as reservoirs for heavy metals and other pollutants, in which sewage-derived labile organic matter triggering the water blackening and odorization largely determine the fate and ecological impact of the heavy metals. Nonetheless, information on the pollution and ecological risk of heavy metals and their reciprocal impact on microbiome in organic matter-polluted urban rivers remain unknown. In this study, sediment samples were collected and analyzed from 173 typical black-odorous urban rivers in 74 cities across China, providing a comprehensive nationwide assessment of heavy metal contamination. The results revealed substantial contamination levels of 6 heavy metals (i.e., Cu, Zn, Pb, Cr, Cd, and Li), with average concentrations ranging from 1.85 to 6.90 times higher than their respective background values in soil. Notably, the southern, eastern, and central regions of China exhibited particularly elevated contamination levels. In comparison to oligotrophic and eutrophic waters, the black-odorous urban rivers triggered by organic matter exhibited significantly higher proportions of the unstable form of these heavy metals, indicating elevated ecological risks. Further analyses suggested the critical roles of organic matter in shaping the form and bioavailability of heavy metals through fueling microbial processes. In addition, most heavy metals had significantly higher but varied impact on the prokaryotic populations relative to eukaryotes.
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Affiliation(s)
- Qihong Lu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China
| | - Xiangping Xu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China
| | - Wenwen Fang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China
| | - Huimin Wang
- School of Medical Technology, Guangdong Medical University, Dongguan 523808, China
| | - Zhiwei Liang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China
| | - Ran Cai
- Beijing Capital Eco-Environment Protection Group, Beijing 100044, China
| | - Zhuofeng Hu
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China
| | - Hojae Shim
- Department of Civil and Environmental Engineering, Faculty of Science and Technology, University of Macau, 999078, Macao Special Administrative Region of China
| | - Simona Rossetti
- Water Research Institute, IRSA-CNR, Via Salaria km 29, 300, Monterotondo, RM 00015, Italy
| | - Shanquan Wang
- Environmental Microbiomics Research Center, School of Environmental Science and Engineering, Guangdong Provincial Key Laboratory of Environmental Pollution Control and Remediation Technology, Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Sun Yat-Sen University, Guangzhou 510006, China.
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16
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Yao X, Wang Z, Liu W, Zhang Y, Wang T, Li Y. Pollution in river tributaries restricts the water quality of ecological water replenishment in the Baiyangdian watershed, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:51556-51570. [PMID: 36810822 DOI: 10.1007/s11356-023-25957-y] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2022] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
Natural rivers often have complex water network structures, and the continuous water inflow from tributaries may have crucial impacts on the water quality of ecological water replenishment in the mainstream. This study selected two main inflow rivers of the largest lake in Hebei Province (Baiyangdian), the Fu River and Baigou River, to explore the influence of tributaries on the quality changes of ecological replenishment water in the mainstreams. In December 2020 and 2021, water samples were collected along the two river routes, and eutrophic parameters and heavy metals were determined. The results showed that the tributaries of the Fu River were all severely polluted. With the inflows of the tributaries, the comprehensive pollution index of eutrophication greatly increased along the replenished water route of the Fu River, and the replenished water in the lower reaches of the Fu River mainstream was mostly considered moderate to heavy pollution. Whereas, because the Baigou River's tributaries were only moderately polluted, the water quality in the Baigou River's replenished water was mostly better than moderate pollution. Due to the slight pollution of heavy metals in the tributaries, the replenished water in both the Fu and Baigou Rivers did not show any impact from heavy metal pollution. Correlation and principal component analysis indicated that the main sources of serious eutrophic pollution in the tributaries of the Fu and Baigou Rivers were related to domestic sewage, industrial wastewater, plant decay, and sediment release. This non-point source pollution then caused the decline in the quality of the replenished water in the mainstreams. This study exposed a long-standing but neglected problem in ecological water replenishment and provided a scientific foundation for conducting better water management to improve the inland water environment.
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Affiliation(s)
- Xu Yao
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China
| | - Zheng Wang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China
| | - Wei Liu
- Baoding Sewerage Corporation, Baoding, Hebei Province, China
| | - Yao Zhang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
| | - Tianhe Wang
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China
| | - Yuling Li
- College of Forestry, Hebei Agricultural University, Baoding, Hebei Province, China.
- Hebei Urban Forest Health Technology Innovation Center, Baoding, Hebei Province, China.
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17
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Rokhbar M, Keshavarzi B, Moore F, Zarei M, Hooda PS, Risk MJ. Occurrence and source of PAHs in Miankaleh International Wetland in Iran. CHEMOSPHERE 2023; 321:138140. [PMID: 36791821 DOI: 10.1016/j.chemosphere.2023.138140] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Revised: 12/14/2022] [Accepted: 02/11/2023] [Indexed: 06/18/2023]
Abstract
We examined the occurrence and sources of 16 priority PAHs in the water and sediment samples of the Miankaleh Wetland (Coastal Biosphere Reserve), famous for harbouring huge flocks of migrating birds. The water and sediment samples collected from various locations were visualized and processed using a self-organizing map, positive matrix factorization and GIS. All the sediment samples, and >90% of the water samples, showed some degree of PAHs contamination. Higher PAH levels occur near the Chopoghi Channel, powerplants, sewage outfalls, and near fishing operations. Compared with previous study in this area, the PAHs concentration in the sediments of aquatic ecosystem of Miankaleh Wetland is increasing. The levels of PAH contamination seem too low to account for the mass deaths of migratory birds, and botulinus contamination seems the likely cause. Fugacity calculations show that the sediments act as a sink for PAHs. According to PMF and SOM analyses, three origins of PAHs were recognized: (i) fossil fuel and vehicular emissions with high-molecular weight PAHs (4-5 ring); (ii) municipal and industrial sewages characterized by low-molecular weight PAHs (2-3 ring) typical of petrogenic sources; and (iii) port activity characterized by prevalence of petrogenic influence and petroleum-related activities (combustion PAHs and low-molecular weight PAHs) consistent with port activity. This wetland needs serious attention because of continuous input of pollutants. The results and the methods used in this study may assist in improving coastal wetlands management.
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Affiliation(s)
- Mahsa Rokhbar
- Department of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran
| | - Behnam Keshavarzi
- Department of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran.
| | - Farid Moore
- Department of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran
| | - Mehdi Zarei
- Department of Earth Sciences, College of Science, Shiraz University, 71454, Shiraz, Iran
| | - Peter S Hooda
- Department of Geography, Geology and the Environment, Kingston University London, Kingston Upon Thames, KT12EE, UK
| | - Michael J Risk
- Department of Earth Sciences, McMaster University, Hamilton, Ontario, L8S 4M1, Canada
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18
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Jiang C, Jiang C, Zha J, Liu H, Liu D, Zheng L. Water chemistry and stable isotope characteristics of subsidence lakes in coal mining areas, Eastern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:43152-43167. [PMID: 36648714 DOI: 10.1007/s11356-023-25285-1] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Accepted: 01/09/2023] [Indexed: 01/18/2023]
Abstract
Many subsidence lakes have formed in eastern China as a result of underground coal mining. These coal mining-related subsidence lakes vary in their formation time and connectivity with rivers. These factors may influence the water chemistry and hydrogen and oxygen stable isotope characteristics of the lake water. This study collected and tested subsidence lake water, atmospheric precipitation, river water, and shallow groundwater in the study area. The results showed that the water chemical types of the subsidence lake water and river water are Cl-Na and HCO3·Cl-Na and that the water chemical types of the shallow groundwater are mainly HCO3·Cl-Na and HCO3·Cl-Ca. There are no significant differences in the water chemical characteristics of subsidence lakes with different subsidence ages and types. The major ions in each water body mainly come from evaporite dissolution and silicate weathering, and ion exchange occurs. Reverse ion exchange occurs in some shallow groundwater samples. The stable isotopes of hydrogen and oxygen in the subsidence lake water, river water, and shallow groundwater are distributed along a straight line with a slope less than that of the LMWL, indicating that these water bodies have a common source, namely, precipitation. With increases in the formation time of the subsidence lakes, the heavy isotopes in the lake water gradually become depleted, and the d value gradually increases, mainly driven by precipitation dilution, weakening evaporation, river recharge, and groundwater recharge. The isotopic values of different types of lakes with the same subsidence time differ little. The research results may provide scientific guidance for the rational development and utilization of water resources in coal mining subsidence areas, enrich the study of the hydrological cycle in the area, and are of great significance for the protection of the local water balance and water environment.
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Affiliation(s)
- Chunlu Jiang
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China.
| | - Chenghong Jiang
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China
| | - Junzhen Zha
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China
| | - Hui Liu
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China
| | - Dou Liu
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China
| | - Liugen Zheng
- School of Resource and Environmental Engineering, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Anhui University, Hefei, 230601, Anhui, China
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19
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Koudenoukpo ZC, Odountan OH, Guo C, Céréghino R, Chikou A, Park YS. Understanding the patterns and processes underlying water quality and pollution risk in West-Africa River using self-organizing maps and multivariate analyses. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:11893-11912. [PMID: 36098918 DOI: 10.1007/s11356-022-22784-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Accepted: 08/24/2022] [Indexed: 06/15/2023]
Abstract
Rivers are dynamic systems in complex interactions with their surrounding environments. Reliable and fast interpretation of water quality is therefore needed for sustainable river management. Unfortunately, water quality and environmental status interactions have not yet been documented sufficiently in West-Africa. This study explored the spatial-latitudinal and seasonal features of water quality along the Sô River Basin (SRB, West Africa) using self-organizing map (SOM) and principal component analysis. Twenty-two water quality variables were measured in the surface layer at 12 different sampling sites during a twenty-four-month period from July 2016 to June 2018. The results revealed three water quality groups, following an upstream-downstream pollution gradient: (1) upstream and middle reach sites with high dissolved oxygen and Secchi disk depth values, which are more suitable for the aquatic biota; (2) downstream sites with high concentrations of ammonium, biochemical oxygen demand, and heavy metals especially in flood period, reflecting both high organic and heavy metal pollution; and (3) brackish downstream sites characterized by less heavy metal and organic pollutions. No significant variation was observed between seasons. However, the SRB relatively suffered from higher risks of heavy metal contamination and organic pollution in wet seasons. Although hydroclimatic processes affect the water quality, anthropogenic inputs of point and non-point sources were identified and discussed as a more prominent factor contributing to variation in the water quality condition. These results offer insights into the water quality dynamics in river-estuary system as well as potential pollution sources, crucial for defining sanitation, and management measures.
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Affiliation(s)
- Zinsou Cosme Koudenoukpo
- Laboratoire d'Hydrobiologie et d'Aquaculture, Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, 01 BP 526, Cotonou, Abomey-Calavi, Bénin
- Cercle d'Action pour la Protection de l'Environnement et de la Biodiversité (CAPE BIO-ONG), 10 PO Box 336, Cotonou, Abomey-Calavi, Benin
| | - Olaniran Hamed Odountan
- Cercle d'Action pour la Protection de l'Environnement et de la Biodiversité (CAPE BIO-ONG), 10 PO Box 336, Cotonou, Abomey-Calavi, Benin.
- Laboratory of Ecology and Aquatic Ecosystem Management, Department of Zoology, Faculty of Sciences and Technics, University of Abomey-Calavi, Abomey-Calavi, Republic of Benin.
- Laboratory of Research on Wetlands, Department of Zoology, Faculty of Science and Technics, University of Abomey-Calavi, Abomey-Calavi, Benin.
| | - Chuanbo Guo
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, Hubei, China
| | - Regis Céréghino
- Laboratoire Ecologie Fonctionnelle et Environnement, CNRS, Université de Toulouse, 118 route de Narbonne, F-31062, Toulouse Cedex 9, France
| | - Antoine Chikou
- Laboratoire d'Hydrobiologie et d'Aquaculture, Faculté des Sciences Agronomiques, Université d'Abomey-Calavi, 01 BP 526, Cotonou, Abomey-Calavi, Bénin
| | - Young-Seuk Park
- Department of Biology, Kyung Hee University, Seoul, 02447, Korea
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20
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Bai Y, Zhang S, Mu E, Zhao Y, Cheng L, Zhu Y, Yuan Y, Wang Y, Ding A. Characterizing the spatiotemporal distribution of dissolved organic matter (DOM) in the Yongding River Basin: Insights from flow regulation. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116476. [PMID: 36323113 DOI: 10.1016/j.jenvman.2022.116476] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 09/26/2022] [Accepted: 10/05/2022] [Indexed: 06/16/2023]
Abstract
Artificial flow regulation is an important measure to alleviate water shortages and improve the ecological quality of river basins. Dissolved organic matter (DOM) plays a crucial role in the carbon cycle and regulates biogeochemical and ecological processes in aquatic systems. Among the numerous studies on the effects of anthropogenic activities on the quality and quantity of river DOM, few studies have focused on the influence of different artificially regulated flow on the composition, source, and fate of fluvial DOM. This study aims to elucidate the impact of different artificial regulation modes of river flows on the source, migration, and transformation of DOM. The optical properties of DOM were used to explore the temporal and spatial distribution characteristics of DOM in the Yongding River Basin, where artificial regulation of river flows by cross-basin and inner-basin water transfers were implemented. Excitation-emission matrix fluorescence spectroscopy coupled with parallel factor analysis revealed four fluorescent substances of DOM in the water: one microbial humic-like (C1), one terrestrial humic-like (C2), one non-point source pollution humic-like (C4), and one tryptophan-like (C3) substance. Due to cross-basin water transfer from the Yellow River, the flow is the highest (21.79 m3/s) during spring, which was the reason that the signal of C2 was stronger during spring (71.45 QSU) compared to summer (57.12 QSU) and autumn (51.78 QSU). Due to inner-basin water transfer from upstream reservoirs, C3 derived from autochthonous sources were higher during autumn (130.81 QSU) than during spring (77.17 QSU) and summer (93.16 QSU). With no water transfer, more C1 were present at higher temperatures during summer (141.51 QSU) than during spring (126.73 QSU) and autumn (128.8 QSU). Moreover, C4 originating from urban and/or agricultural non-point source runoff increased during summer (57.07 QSU) than during spring (33.29 QSU) and autumn (52.27 QSU) because of increased rainfall. The different modes of artificial regulation of river flows changed the hydrological characteristics of the basin, which in turn altered the temporal and spatial distribution characteristics of the quantity and quality of DOM. The finding of this study can help promote the development of appropriate management strategies for artificial regulation of river flows in the basin. Furthermore, this study provides a basis for investigating the effects of different artificial flow regulations on the carbon cycles and ecological risks of rivers in the basin.
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Affiliation(s)
- Yijuan Bai
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Shurong Zhang
- Institute of Land Surface System and Sustainable Development, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China; State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
| | - Enlin Mu
- Water Resources Management Center of Ministry of Water Resources, Beijing, 100038, China
| | - Yinjun Zhao
- Key Laboratory of Environment Change and Resources Use in Beibu Gulf, Ministry of Education, Nanning Normal University, Nanning, 530001, China
| | - Lirong Cheng
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yi Zhu
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yumin Yuan
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yingying Wang
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Aizhong Ding
- College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
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21
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Qi J, Yang L, Liu E. A holistic framework of water quality evaluation using water quality index (WQI) in the Yihe River (China). ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:80937-80951. [PMID: 35729391 DOI: 10.1007/s11356-022-21523-0] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/18/2022] [Accepted: 06/13/2022] [Indexed: 06/15/2023]
Abstract
The Yihe River is an important river in Shandong Province, China. It is a catchment river for the South-to-North Water Diversion Project (SNWDP-ER), providing a variety of benefits and ecosystem services, such as flood and drought regulation, fishery and aquaculture, drinking water sources, and biodiversity conservation. In order to objectively reflect the status and changing trend of water environmental quality of the Yihe River, reduce the cost of detection, and improve the efficiency of water quality evaluation, samples were collected at 8 sampling sites in the 220 km main stream of the Yihe River from 2009 to 2019. The spatiotemporal variations of 10 water quality indicators were analyzed, including pH, water temperature (WT), dissolved oxygen (DO), 5-day biochemical oxygen demand (BOD5), chemical oxygen demand (COD), total phosphorus (TP), ammonia nitrogen (NH3-N), nitrate (NO3-N), fluoride (F-), and sulphate (SO42-). The water quality index (WQI) was used to evaluate the spatiotemporal water quality changes, and the minimum WQI (WQImin) model consisting of five key indicators, i.e., NH3-N, BOD5, DO, SO42-, and WT, was built by using stepwise multiple linear regression analysis. The results indicated that the water quality indicators in the Yihe River showed significant spatiotemporal variations. With the exception of the COD and TP, the other water quality indicators conformed to the Class I or II standards of China, indicating that the water quality of the Yihe River was better than most natural water bodies. Seasonally, the WQI was better in the autumn and higher in the upstream area compared to the downstream. The water quality remained at the "good" level. The weighted WQImin model performed well in evaluating water quality, with coefficient of determination (R2), mean square error (MSE), and percentage error (PE) values of 0.903, 3.05, and 1.70%, respectively.
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Affiliation(s)
- Jiahui Qi
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022, China
| | - Liyuan Yang
- School of Water Conservancy and Environment, University of Jinan, Jinan, 250022, China.
| | - Enfeng Liu
- College of Geography and Environment, Shandong Normal University, Jinan, 250358, China
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22
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Kimura T, Fujii H, Yoshida M, Yamanaka S, Harada R, Tanimoto H, Shirakawa Y. Impurity effects on particle properties of hydrocalumite synthesized from concentrated seawater. ADV POWDER TECHNOL 2022. [DOI: 10.1016/j.apt.2022.103763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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23
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Wang W, Lin C, Wang L, Liu Y, Sun X, Chen J, Lin H. Potentially hazardous metals in the sediment of a subtropical bay in South China: Spatial variability, contamination assessment and source apportionment. MARINE POLLUTION BULLETIN 2022; 184:114185. [PMID: 36194963 DOI: 10.1016/j.marpolbul.2022.114185] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/25/2022] [Revised: 09/21/2022] [Accepted: 09/24/2022] [Indexed: 06/16/2023]
Abstract
Potentially hazardous metals (PHMs) in the coastal environment have become a great concern due to their easy bioaccumulation, poor biodegradability and high toxicity. Surface sediment samples were collected in a subtropical bay in South China to analyse the spatial variations, contamination level and potential sources of PHMs. The results indicated that the order of average contents of PHMs in Qinzhou Bay sediment was Zn > Pb > Cr > Cu > As > Hg > Cd. The most important potential ecological risk factor was Hg pollution in the Qinzhou Bay sediments. The positive matrix factorization (PMF) model results indicated that Cu, Pb, Zn, Cd and Cr mainly originated from natural sources while Hg and As were related to coal fired industrial inputs and petroleum production activities. The results could provide a basis for marine management to formulate relevant pollution prevention and control measures.
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Affiliation(s)
- Weili Wang
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Cai Lin
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China.
| | - Lingqing Wang
- Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Yang Liu
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Xiuwu Sun
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Jinmin Chen
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
| | - Hui Lin
- Third Institute of Oceanography, Ministry of Natural Resources, Xiamen 361005, China
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24
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Zheng S, Wang R, Kainz MJ, Liu C, Li P, Li Z, Yan H, Yin D. How phytoplankton biomass controls metal(loid) bioaccumulation in size-fractionated plankton in anthropogenic-impacted subtropical lakes: A comprehensive study in the Yangtze River Delta, China. WATER RESEARCH 2022; 224:119075. [PMID: 36116191 DOI: 10.1016/j.watres.2022.119075] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2022] [Revised: 09/03/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
Phytoplankton biomass can significantly affect metal(loid) bioaccumulation in plankton, but the underlying mechanisms are still controversial. We investigated the bioaccumulation of eight metal(loid)s (As, Co, Cu, Hg, Mn, Pb, Se, and Zn) in three size categories of planktonic organisms - seston (0.7-64 μm), mesozooplankton (200-500 μm), and macrozooplankton (>500 μm) - sampled from six freshwater lakes in two seasons in the Yangtze River Delta, China. Our results highlight phytoplankton biomass is the major driver on metal(loid) bioaccumulation in the studied anthropogenic-impacted subtropical lakes, mainly via affecting site-specific water physiochemical characteristics and plankton communities. However, such impact is highly dependent on chlorophyll a (Chl-a) concentration. The bioaccumulation of metal(loid)s in size-fractionated plankton declined significantly with increasing phytoplankton biomass when Chl-a was below ∼50 μg L-1, mainly owing to the reduced metal(loid) bioavailability and subsequent bioaccumulation at more productive sites (with elevated pH and dissolved organic carbon), rather than algal bloom dilution. To a lesser extent, phytoplankton growth dilution and the smaller body-size of zooplankton at more productive sites also contributed to the lower metal(loid) bioaccumulation. The bioaccumulation of metal(loid)s was enhanced under severe algal bloom conditions (when Chl-a concentration was higher than ∼50 μg L-1). Although the underlying mechanisms still require further investigations, the potential risks of metal(loid) bioaccumulation under severe algal bloom conditions deserve special attention.
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Affiliation(s)
- Siwen Zheng
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Rui Wang
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China.
| | - Martin J Kainz
- WasserCluster Lunz - Biologische Station, Inter-University Center for Aquatic Ecosystem Research, Lunz am See, Austria; Department of Biomedical Research, Danube University Krems, Krems 3500, Austria
| | - Chengying Liu
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Pengwei Li
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Zixuan Li
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China
| | - Haiyu Yan
- State Key Laboratory of Environmental Geochemistry, Institute of Geochemistry, Chinese Academy of Sciences, Guiyang 550081, China
| | - Daqiang Yin
- Key Laboratory of Yangtze River Water Environment, Ministry of Education, College of Environmental Science and Engineering, Tongji University, Shanghai 200092, China; Shanghai Institute of Pollution Control and Ecological Security, Shanghai 200092, China
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25
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Xia W, Zhu B, Zhang S, Liu H, Qu X, Liu Y, Rudstam LG, Anderson JT, Ni L, Chen Y. Climate, hydrology, and human disturbance drive long-term (1988-2018) macrophyte patterns in water diversion lakes. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 319:115726. [PMID: 35849931 DOI: 10.1016/j.jenvman.2022.115726] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/20/2022] [Revised: 06/24/2022] [Accepted: 07/09/2022] [Indexed: 06/15/2023]
Abstract
Macrophytes are affected by many natural and human stressors globally but their long-term responses to these multiple stressors are not often quantified. We employed remote sensing and statistical tools to analyze datasets from both short-term (2017-2018) field investigations to explore seasonal patterns, and long-term (1988-2018) Landsat remote-sensing images to detect annual patterns of macrophyte distributions and study their responses to changes in climate, hydrology, and anthropogenic activities in a chain of water diversion lakes in eastern China. We found: 1) biomass and species richness of macrophytes peaked in summer with dominant species of submerged macrophytes Ceratophyllum demersum, Potamogeton pectinatus, and Potamogeton maackianus and floating macrophytes Trapa bispinosa, and non-native species Cabomba caroliniana spread in midstream Luoma Lake and Nansi Lake in summer, while Potamogeton crispus was dominant in all the lakes in spring; 2) water physicochemical parameters (chloride and water depth), lake characteristics (area and water storage), climate factors (air temperature and precipitation), and anthropogenic activities (commercial fishery and urban development) were significantly correlated to the seasonal distribution of macrophytes; 3) long-term data showed a significantly negative correlation between coverage of floating macrophytes and precipitation where the wettest year of 2003 had the lowest coverage of floating macrophytes; and 4) climate (air temperature) and hydrology (water level) were positively correlated with total macrophyte coverage, but human disturbance indexed by the gross domestic product was negatively driving long-term coverage of macrophytes. Our study has important implications for understanding the long-term succession of macrophytes under both natural and human stressors, and for future environmental management and ecological restoration of freshwater lakes.
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Affiliation(s)
- Wentong Xia
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China; State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, 570228, China
| | - Bin Zhu
- Department of Biology, University of Hartford, West Hartford, CT, 06117, USA
| | - Shuanghu Zhang
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
| | - Han Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xiao Qu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Huai'an Research Center, Institute of Hydrobiology, Chinese Academy of Sciences, Huai'an, Jiangsu, 223002, China
| | - Yinglong Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; State Key Laboratory of Marine Resource Utilization in South China Sea, Hainan University, Haikou, Hainan, 570228, China
| | - Lars G Rudstam
- Cornell Biological Field Station and Department of Natural Resources, Cornell University, 900 Shackelton Point Road, Bridgeport, NY, 13030, USA
| | - James T Anderson
- James C. Kennedy Waterfowl and Wetlands Conservation Center, Belle W. Baruch Institute of Coastal Ecology and Forest Science, Clemson University, P.O. Box 596, Georgetown, SC, 29442, USA
| | - Leyi Ni
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Yushun Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Huai'an Research Center, Institute of Hydrobiology, Chinese Academy of Sciences, Huai'an, Jiangsu, 223002, China.
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26
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Hu X, Hu M, Zhu Y, Wang G, Xue B, Shrestha S. Phytoplankton community variation and ecological health assessment for impounded lakes along the eastern route of China's South-to-North Water Diversion Project. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 318:115561. [PMID: 35738123 DOI: 10.1016/j.jenvman.2022.115561] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/06/2022] [Revised: 05/22/2022] [Accepted: 06/16/2022] [Indexed: 06/15/2023]
Abstract
Interbasin water diversion projects have been proven to effectively alleviate water resource shortages in areas along water diversion lines, but few studies have focused on ecological health in impounded lakes compared with research on water quality and pollutants. Herein, monitoring data were collected during the nonwater diversion period (NWDP) and the water diversion period (WDP) from 2018 to 2019, and the index of biological integrity (IBI) method based on phytoplankton communities was used to evaluate the ecological health of the impounded lakes (Nansi Lake and Dongping Lake) along the eastern route of the South-to-North Water Diversion Project. The results demonstrated that water diversion improved the water quality of the impounded lakes during the WDP, especially total nitrogen and ammonia nitrogen. Meanwhile, the water diversion affected the phytoplankton community structure and diversity, and network analysis further revealed water diversion could be beneficial to the ecological health of impounded lakes. Furthermore, the P-IBI showed that the overall ecological health assessment was "good" during the WDP. Water diversion substantially improved the ecological health status and stability of the impounded lakes during the dry season. Finally, the direct correlations between the water quality parameters and the P-IBI were weak, and water quality parameters could indirectly affect the P-IBI by changing the phytoplankton community structure. These findings will enhance our understanding of the ecological health of the impounded lakes of the South-to-North Water Diversion Project. Furthermore, this study will provide a reference to support the ecosystem security of impounded lakes in other large water diversion projects.
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Affiliation(s)
- Xiaoyi Hu
- Key Laboratory of Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Man Hu
- Key Laboratory of Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Yi Zhu
- Key Laboratory of Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China.
| | - Guoqiang Wang
- Key Laboratory of Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Baolin Xue
- Key Laboratory of Hydrological Cycle and Sponge City Technology, College of Water Sciences, Beijing Normal University, Beijing, 100875, China
| | - Sangam Shrestha
- Water Engineering and Management, Asian Institute of Technology, Pathum Thani, 12120, Thailand
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27
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Xiong F, Chen Y, Zhang S, Xu Y, Lu Y, Qu X, Gao W, Wu X, Xin W, Gang DD, Lin LS. Land use, hydrology, and climate influence water quality of China's largest river. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2022; 318:115581. [PMID: 35779295 DOI: 10.1016/j.jenvman.2022.115581] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/07/2022] [Revised: 05/21/2022] [Accepted: 06/17/2022] [Indexed: 06/15/2023]
Abstract
Influences of multiple environmental factors on water quality patterns is less studied in large rivers. Landscape analysis, multiple statistical methods, and the water quality index (WQI) were used to detect water quality patterns and influencing factors in China's largest river, the Yangtze River. Compared with the dry season, the wet season had significantly higher total phosphorus (TP), chemical oxygen demand (COD), total suspended solids (TSS), and turbidity (TUR). The WQI indicated "Moderate" and "Good" water quality in the wet and dry seasons, respectively. Compared with other sites, the upper reach sites that immediately downstream of the Three Gorges Dam had lower TP, TN, TSS and TUR in both seasons, and had lower and higher water temperature in the wet and dry seasons, respectively. Water quality patterns were mainly driven by heterogeneity in land use (i.e., wetland, cropland, and urban land), hydrology (i.e., water flow, water level), and climate (i.e., rainfall, air temperature). Water quality in the wet season was primarily driven by land use while the joint effect of land use and hydrology primarily drove in the dry season. Decision-makers and regulators of large river basin management may need to develop programs that consider influences from both human and natural drivers for water quality conservation.
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Affiliation(s)
- Fangyuan Xiong
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China; Research Center for Yangtze River Ecological and Environmental Engineering, China Three Gorges Corporation, Beijing, 100038, China
| | - Yushun Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China.
| | - Shuanghu Zhang
- State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, 100038, China
| | - Yanxue Xu
- Water Environment Institute, Chinese Academy of Environmental Planning, Beijing, 100012, China
| | - Ying Lu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China
| | - Xiao Qu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wenqi Gao
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Xinghua Wu
- Research Center for Yangtze River Ecological and Environmental Engineering, China Three Gorges Corporation, Beijing, 100038, China
| | - Wei Xin
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan, Hubei, 430072, China
| | - Daniel Dianchen Gang
- Department of Civil Engineering, University of Louisiana at Lafayette, Lafayette, LA, 70504, USA
| | - Lian-Shin Lin
- Department of Civil and Environmental Engineering, West Virginia University, Morgantown, WV, 26506-6103, USA
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28
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Guo C, Li S, Li W, Liao C, Zhang T, Liu J, Li L, Sun J, Cai X, Hansen AG. Spatial Variation in the Composition and Diversity of Fishes Inhabiting an Artificial Water Supply Lake, Eastern China. Front Ecol Evol 2022. [DOI: 10.3389/fevo.2022.921082] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/13/2022] Open
Abstract
With the intensification of eutrophication, many artificial water supply lakes that act as a biological filter for water diverted from rivers have been built to alleviate water scarcity in Eastern China. In this study, we selected Lake Yanlong, a representative artificial water supply lake in Yancheng City, as our experimental lake to explore how the community composition of fishes changed among different habitat types and assess potential consequences for effective water treatment. From October 2015 to October 2020, we conducted quarterly surveys of fish communities and environmental factors in the Mangshe River (MR; water for lake) compared to four different water treatment zones of Lake Yanlong (PZ, the pretreatment zone with inlet from the MR; EZ, the emergent macrophyte zone; SZ, the submerged macrophyte zone; DZ, the deep purification zone with outlet to urban waterworks). A total of 16,339 individual fish belonging to 11 families and 49 species were collected. Six of the eight dominant species observed across zones were small-bodied fishes. Despite reduced fish species richness, the relative abundance and biomass of fishes tended to be higher in Lake Yanlong relative to the MR. The Shannon-Wiener diversity index, Pielou evenness index, Simpson’s diversity index all decreased from the MR to the DZ in the following sequence: MR < PZ < EZ < SZ < DZ. Analysis of similarities and similarity percentage analysis confirmed that fish communities differed significantly among zones and Coilia ectenes, Carassius auratus, Pseudobrama simony, Hemiculter leucisculus, and Hemiculter bleekeri were the major differentiating species. Mantel’s test and redundancy analysis revealed that water depth, aquatic vegetation coverage, and phytoplankton concentrations were the major factors determining the spatial distribution of fishes when moving from the MR to the DZ of Lake Yanlong. Stocking piscivorous fish can be used as an effective measure to control the abundance of prolific small-bodied fishes in Lake Yanlong. The details backing these findings are important for understanding how the community composition of fishes among habitat types in Lake Yanlong influence water quality, and to develop suitable biomanipulation strategies for the management of fish resources and maintaining proper function of these artificial water supply lakes.
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29
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Shoaei SM, Arjmandi SA, Mirbagheri SA. Enhancing the CE-QUAL-W2 to model dissolved lead transport and transformation in dam reservoirs: a case study of Shahid Rajaei Dam reservoir, north part of Iran. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:57860-57872. [PMID: 35359203 DOI: 10.1007/s11356-022-19889-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/04/2021] [Accepted: 03/21/2022] [Indexed: 06/14/2023]
Abstract
Investigation of heavy metal transport in water bodies such as dam reservoirs due to the environmental hazards and the transformation complexities of heavy metals from dissolved phase to particulate phase and vice versa is of particular importance. The transport process of the dissolved heavy metals such as lead (Pb) in storage dam reservoirs is significantly influenced by the water flow, and ambient parameters such as temperature, total dissolved solids (TDS), dissolved oxygen (DO), and suspended solids (SS). Due to the lack of a suitable model to simulate the heavy metal transport in dam reservoirs, in this study, the hydrodynamics and water quality model, CE-QUAL-W2, was enhanced by developing 2D laterally averaged model for simulating the dissolved phase of Pb contaminant and applied to the Shahid Rajaei Dam reservoir, Sari, Iran. The developed model can describe the advection-dispersion and transformation processes and simulate the temporal and spatial distribution of dissolved phase of Pb concentrations. A new approach was introduced to calculate different reaction coefficients used in the transformation term of the advection-diffusion equation. Comparison of the simulation results of temperature, TDS, DO, SS, and dissolved phase of Pb with the measured values from the Shahid Rajaei Dam reservoir shows a mean percentage error (MPE) of 6.8, 4.7, 11.7, 19.7, and 7.27 respectively. The results of the present study showed that the temperature was the most effective parameter on the transformation of Pb in the Shahid Rajaei Dam reservoir due to large changes of temperature in depth as about 15 °C along with small changes in other ambient parameters in several months of the year. This phenomenon can be expected in many reservoirs that are stratified in a period of the year. However, the effect of other ambient parameters such as TDS, DO, and SS should not be neglected.
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Environmental Assessment of Potentially Toxic Elements Using Pollution Indices and Data-Driven Modeling in Surface Sediment of the Littoral Shelf of the Mediterranean Sea Coast and Gamasa Estuary, Egypt. JOURNAL OF MARINE SCIENCE AND ENGINEERING 2022. [DOI: 10.3390/jmse10060816] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Coastal environmental assessment techniques have evolved into one of the most important fields for the long-term development and management of coastal zones. So, the overall aim of the present investigation was to provide effective approaches for making informed decisions about the Gamasa coast sediment quality. Over a two-year investigation, sediment samples were meticulously collected from the Gamasa estuary and littoral shelf. The inductively coupled plasma mass spectra (ICP-MS) was used to the total concentrations of Al, Fe, Ti, Mg, Mn, Cu, P, V, Ba, Cr, Sr, Co, Ni, Zn, Pb, Zr, and Ce. Single elements environmental pollution indices including the geoaccumulation index (Igeo), contamination factor (CF), and enrichment factor (EF), as well as multi-elements pollution indices comprising the potential ecological risk index (RI), degree of contamination (Dc), and pollution load index (PLI) were used to assess the sediment and the various geo-environmental variables affecting the Mediterranean coastal system. Furthermore, the Dc, PLI, and RI were estimated using the random forest (RF) and Back-Propagation Neural Network (BPNN) depending on the selected elements. According to the Dc results, all the investigated sediment samples categories were considerably contaminated. Cr, Co, Ni, Cu, Zr, V, Zn, P, and Mn showed remarkable enrichment in sediment samples and were originated from anthropogenic sources based on the CF, EF, and Igeo data. Moreover, the RI findings revealed that all the samples tested pose a low ecologically risk. Meanwhile, based on PLI, 70% of the Gamasa estuary samples were polluted, while 93.75% of littoral shelf sediment was unpolluted. The BPNNs -PCs-CD-17 model performed the best and demonstrated a better association between exceptional qualities and CD. With R2 values of 1.00 for calibration (Cal.) and 1.00 for validation (Val.). The BPNNs -PCs-PLI-17 models performed the best in terms of measuring PLI with respective R2 values of 1.00 and 0.98 for the Cal. and Val. datasets. The findings showed that the RF and BPNN models may be used to precisely quantify the pollution indices (Dc, PLI, and RI) in calibration (Cal.) and validation (Val.) datasets utilizing potentially toxic elements of surface sediment.
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Wang R, Xia W, Eggleton MA, Qu X, Liu H, Xin W, Wu X, Chen Y. Spatial and temporal patterns of heavy metals and potential human impacts in Central Yangtze lakes, China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 820:153368. [PMID: 35077782 DOI: 10.1016/j.scitotenv.2022.153368] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Revised: 12/25/2021] [Accepted: 01/19/2022] [Indexed: 06/14/2023]
Abstract
Lakes in the central Yangtze River basin have experienced increasing levels of human disturbance during the past several decades, yet large-scale environmental patterns in these lakes and their driving factors remain unclear. Herein we examined spatial and temporal patterns of copper (Cu), zinc (Zn), lead (Pb), arsenic (As), and seven other heavy metals from 16 lakes experiencing a gradient of human disturbance. These lakes were divided among six groups: suburban reservoirs (SR), suburban high-aquaculture lakes (SH), suburban low-aquaculture lakes (SL), suburban no-aquaculture lakes (SN), urban aquaculture lakes (UA) and urban no-aquaculture lakes (UN). Spatially, water-column concentrations of Cd, Ni, Co, Mn, Fe, and Al, and sediment concentrations of Ni were significantly lower in SR compared to other lake groups. Except for Al, heavy metal concentrations did not differ between SN and SL lakes in the water-column or sediments. SH lakes exhibited significantly greater concentrations of Cu, Co, Cr, Mn, and Al in the water-column and Zn in sediments compared to SN lakes. UA lakes contained significantly lower concentrations of Zn, Cd, and Al in sediment compared to UN lakes, though no significant differences were detected within water-column samples. Temporally, with all lake groups combined, summer water-column concentrations of Cd, Pb, Co, Mn, and Al were lower compared to spring and autumn. Additionally, summer sediment concentrations of Zn, As, Co, Fe also were lower compared to autumn. Further results indicated that low-density fish stockings without external feed inputs appeared to have little impact on heavy metals in both suburban and urban lakes. However, high-density fish stockings with external feed inputs were associated with increased heavy-metal concentrations across all lakes. Overall, urbanization has great potential to increase sediment heavy-metal ecological risks. These findings are crucial for developing heavy-metal pollution control and management strategies for freshwater lakes.
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Affiliation(s)
- Rui Wang
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; Key Laboratory of Ecological Impacts of Hydraulic-Projects and Restoration of Aquatic Ecosystem of Ministry of Water Resources & Institute of Hydroecology, Ministry of Water Resources and Chinese Academy of Sciences, Wuhan 430079, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wentong Xia
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Michael A Eggleton
- Department of Aquaculture and Fisheries, University of Arkansas at Pine Bluff, 1200 North University Drive, Pine Bluff, AR 71601, USA
| | - Xiao Qu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Han Liu
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Wei Xin
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Xinghua Wu
- China Three Gorges Corporation, Beijing 100038, China
| | - Yushun Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China; University of Chinese Academy of Sciences, Beijing, 100049, China; China Three Gorges Corporation, Beijing 100038, China.
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Wang Y, Wang Y, Zhang W, Yao X, Wang B, Wang Z. Spatiotemporal changes of eutrophication and heavy metal pollution in the inflow river system of Baiyangdian after the establishment of Xiongan New Area. PeerJ 2022; 10:e13400. [PMID: 35529490 PMCID: PMC9074874 DOI: 10.7717/peerj.13400] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Accepted: 04/17/2022] [Indexed: 01/14/2023] Open
Abstract
Pollution in inflow rivers seriously endangers the water environment in downstream lakes. In this study, an inflow river system of the Baiyangdian-Fuhe river system (FRS) was investigated to display timely pollution patterns of eutrophication and heavy metals after the establishment of Xiongan New Area, aiming to reveal the weak parts in current pollution treatments and guide the further water quality management. The results showed that the pollution of eutrophication was worse than the heavy metals in FRS, with serious eutrophic parameters of ammonia nitrogen (NH4 +-N) and chemical oxygen demand (COD). There were greatly spatiotemporal variations of the pollution in FRS. (1) Concentrations of NH4 +-N and total phosphorus were all higher in summer and autumn, whereas, COD contents were higher in spring; the water quality index (WQI) of eutrophication linearly increased along FRS in summer and autumn, with pollution hotspots around the estuary area. (2) The pollution levels of plumbum exceeded cadmium (Cd) and chromium (Cr) but without strongly spatiotemporal changes; however, Cd and Cr in the town area and Cd in spring showed higher concentrations; the WQI of heavy metals showed single peak curves along FRS, with significantly higher values around the town area. Additionally, the four potential pollution sources: domestic sewage, traffic pollution, agricultural wastewater and polluted sediments were identified based on the pollution patterns and pollutant associations. These findings demonstrated current treatments failed to eliminate the pollution in some hotspots and periods, and the in-depth understanding of the pollution spatiotemporal patterns in this study, especially the pollution hotspots, serious periods and potential sources, are crucial to furtherly develop spatiotemporally flexible pollution treatment strategies.
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Affiliation(s)
- Yibing Wang
- College of Forestry, Hebei Agricultural University, Baoding, China,Hebei Urban Forest Health Technology Innovation Center, Baoding, China
| | - Yang Wang
- College of Land and Resources, Hebei Agricultural University, Baoding, China
| | - Wenjie Zhang
- College of Forestry, Hebei Agricultural University, Baoding, China
| | - Xu Yao
- College of Forestry, Hebei Agricultural University, Baoding, China
| | - Bo Wang
- College of Forestry, Hebei Agricultural University, Baoding, China
| | - Zheng Wang
- College of Forestry, Hebei Agricultural University, Baoding, China,Hebei Urban Forest Health Technology Innovation Center, Baoding, China
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The Ecological Compensation Mechanism in a Cross-Regional Water Diversion Project Using Evolutionary Game Theory: The Case of the Hanjiang River Basin, China. WATER 2022. [DOI: 10.3390/w14071151] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
As a vital method to resolve conflicts between water use in upstream and downstream areas and solve the problem of transboundary water pollution, watershed ecological compensation is widely used worldwide. It is necessary to analyze the influencing factors of watershed ecological compensation from the perspective of how different governments interact with each other. However, the previous literature has paid less attention to the special situation of cross-regional water diversion projects, the changing processes of governmental behavior, and the interventions by the central government. Therefore, when taking the upstream and downstream governments and the central government in the basin of a cross-regional water diversion project as research objects, it is important to study their behavior and influencing factors to improve the ecological compensation system in the basin. This paper first analyzes the interactions among upstream, downstream, and central governments in the basin, based on evolutionary game theory. Second, the evolutionary game models before and after the interventions by the central government were developed separately, and the effects of different contexts on the dynamic evolutionary process were analyzed. Finally, taking the Hanjiang River Basin as an example, which is where the water source area of China’s South-to-North Water Diversion Middle Project is located, the opportunity cost of protecting the water environment in the upstream areas of this basin was estimated by establishing an econometric regression model using data on water quality and gross domestic product. The results show that (1) the initial probabilities of governments affect their final behaviors; (2) even without the supervision of the central government, it is still possible for upstream and downstream governments to reach the desired state spontaneously; (3) the supervision of the central government can promote upstream and downstream governments to reach a stable state faster; and (4) the current level of compensation from the central government is significantly lower than the opportunity cost of protecting the water environment for upstream governments in the Hanjiang River Basin. This paper can provide helpful insights for improving the ecological compensation system in the basin, which helps promote cooperation in water environment protection.
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Zhang Y, Zhang M, Yu W, Li J, Kong D. Ecotoxicological risk ranking of 19 metals in the lower Yangtze River of China based on their threats to aquatic wildlife. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 812:152370. [PMID: 34915017 DOI: 10.1016/j.scitotenv.2021.152370] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2021] [Revised: 12/09/2021] [Accepted: 12/09/2021] [Indexed: 06/14/2023]
Abstract
With thousands of chemicals discharged into the aquatic environment, it is necessary to identify those that are likely to be having the greatest impact on wildlife to better protect the ecosystem. A risk ranking approach was developed to compare the ecotoxicological risk of chemicals on aquatic wildlife with a wide range of environmental measurement data and ecotoxicity data. Nineteen metals including some rarely monitored ones including antimony (Sb), molybdenum (Mo), cobalt (Co), vanadium (V), titanium (Ti) and thallium (Tl) in the lower Yangtze River were risk ranked as a case study. The risk ranking approach was conducted in three tiers: general risk ranking, lethal effects vs. non-lethal effects risk ranking, and species group-specific risk ranking. Iron, copper and titanium were identified as being of greatest concern. The contamination of iron, zinc, copper and nickel was widespread and may have already harmed wildlife according to the overlap between ecotoxicity and monitored levels. Based on this analysis, the risk from copper and some rarely monitored metals (titanium and boron) may have been underestimated. Greater efforts to reduce copper, iron and titanium contamination could make an important difference to the health of Chinese freshwater organisms in the Yangtze River.
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Affiliation(s)
- Yueqing Zhang
- Nanjing Institute of Environmental Sciences, Ministry of Environment and Ecology of China, Nanjing 210042, China
| | - Meng Zhang
- Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China
| | - Weixian Yu
- School of Science, Hohai University, Nanjing 211100, China
| | - Juying Li
- Nanjing Institute of Environmental Sciences, Ministry of Environment and Ecology of China, Nanjing 210042, China
| | - Deyang Kong
- Nanjing Institute of Environmental Sciences, Ministry of Environment and Ecology of China, Nanjing 210042, China.
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Niu L, Cai H, Jia L, Luo X, Tao W, Dong Y, Yang Q. Metal pollution in the Pearl River Estuary and implications for estuary management: The influence of hydrological connectivity associated with estuarine mixing. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2021; 225:112747. [PMID: 34488146 DOI: 10.1016/j.ecoenv.2021.112747] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/29/2021] [Revised: 08/27/2021] [Accepted: 08/31/2021] [Indexed: 06/13/2023]
Abstract
Understanding the metal pollution can help governments and estuary management groups manage metal inputs. Here, we comprehensively analyzed the behaviors of seven metals Cd, Zn, Cu, As, Pb, Cr, and Hg in water and the responses of these metals to hydrological connectivity in the Pearl River Estuary. The analyses were based on the field measurements of August-2016 in the estuary and January-2016 in the upper river mouth. We also assessed the ecosystem health of these metals. Overall, this estuary had an overall moderate pollution level, with occasional severe perturbations. The mean concentration of individual metal was in the order of Zn > As > Cu > Cr > Pb > Cd > Hg. The eastern estuary was more heavily polluted by metals (notably, Zn, Cd, and Cu) than the western estuary; this condition was attributable to sewage and industrial effluent discharges from the eastern urban cities of Dongguan and Shenzhen. Longitudinally, high levels of Cd and Zn appeared in the upper estuary, while elevated levels of Cu, As, Pb, Cr, and Hg were found in the middle and lower estuaries. The riverine inputs and estuarine mixing significantly influenced the distribution and movement of trace metals in the estuary, and have contributed to phytoplankton productivity (chlorophyll-a > 10 μg/L). River inflow inhibited the vertical diffusion of metals, and tidal currents facilitated surface-to-bottom mixing. Cu and Cd posed ecological risks. We determined the source contributions and transport routes of the metals using principal component analysis combining with multiple linear regression. The results of this study suggest that the source apportionment of metals can help to manage the source input entering into the estuary. Further, identified hydrological connectivity of metals can inform water quality managers in the highly anthropogenically influenced estuary.
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Affiliation(s)
- Lixia Niu
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering (Zhuhai), China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China.
| | - Huayang Cai
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering (Zhuhai), China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
| | - Liangwen Jia
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering (Zhuhai), China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
| | - Xiangxin Luo
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering (Zhuhai), China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
| | - Wei Tao
- South China Sea Environmental Monitoring Center of State Oceanic Administration, Guangzhou, China
| | - Yanhong Dong
- South China Sea Environmental Monitoring Center of State Oceanic Administration, Guangzhou, China
| | - Qingshu Yang
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering (Zhuhai), China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
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Niu L, Li J, Luo X, Fu T, Chen O, Yang Q. Identification of heavy metal pollution in estuarine sediments under long-term reclamation: Ecological toxicity, sources and implications for estuary management. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 290:118126. [PMID: 34523508 DOI: 10.1016/j.envpol.2021.118126] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2021] [Revised: 07/30/2021] [Accepted: 09/05/2021] [Indexed: 06/13/2023]
Abstract
Sediment samples were collected to clarify the effect of changing sedimentary environment under long-term reclamation on heavy metals (Cr, Zn, Pb, Cu, Cd, and Ni) in a partially mixed estuary (Modaomen) of the Pearl River Delta. The ecological toxicity and source apportionment of these metals were discussed as well. The metal species during the 2010s (as 2015, 2018) was more enriched than that during the 2000s (as 2003) and 1990s (as 1991). This estuary overall suffered from a "moderate-to-high" pollution status. The element Cd was a major concern for the ecosystem's health because of its high toxicity. Sediment quality guidelines suggested that adverse biological effects were likely to be caused by Cu and Cd in the early adjustment stage, while the threats to marine organisms caused by the elements of Cu, Cr, Zn, and Ni were elevated during the 2010s. Two receptor models of PCA-MLR and PMF quantified the source types and contributions of these heavy metals. Strong intensity of industrial activities coupling with agricultural applications and import of adjacent seas were responsible for the enriched accumulation of heavy metals in sediments. Metal source apportionment would help to control the metal input into the estuary; identifying the role of sedimentary environment on heavy metals can inform the sediment quality management in the estuary.
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Affiliation(s)
- Lixia Niu
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering, Zhuhai, China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
| | - Jiayi Li
- School of Geography and Planning, Sun Yat-sen University, Guangzhou, China
| | - Xiangxin Luo
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering, Zhuhai, China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China.
| | - Tao Fu
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering, Zhuhai, China
| | - Ou Chen
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering, Zhuhai, China
| | - Qingshu Yang
- School of Marine Engineering and Technology, Sun Yat-sen University (Guangzhou)/Southern Laboratory of Ocean Science and Engineering, Zhuhai, China; Institute of Estuarine and Coastal Research, Guangdong Provincial Engineering Research Center of Coasts, Islands and Reefs, Guangzhou, China
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Ren H, Yao X, Ma F, Fan T, Deng H, Zhang Y. Characterizing variations in dissolved organic matter (DOM) properties in Nansi Lake: a typical macrophytes-derived lake in northern China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:58730-58741. [PMID: 34118006 DOI: 10.1007/s11356-021-14266-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/14/2021] [Accepted: 04/29/2021] [Indexed: 06/12/2023]
Abstract
Nansi Lake is the largest lake along the eastern route of China's South-to-North Water Diversion Project (SNWDP). It is divided into the upper lake and the lower lake by a dam. By using UV-Vis spectroscopy, synchronous fluorescence (SF) spectroscopy, excitation-emission matrix and parallel factor analysis (EEM-PARAFAC), spatial, and temporal differences in the properties of dissolved organic matter (DOM) were found in the 2 areas of Nansi Lake under different hydrological conditions. A total of 5 fluorescence components were obtained by EEM-PARAFAC, which included 3 humic-like components (C1-C3) and 2 protein-like components (C4 and C5). On the spatial scale, the fluorescence intensities (Fmax) of humic-like substances and the ratio of the fluorescence intensity of humic-like components to the total fluorescence intensity (%Fmax) and degree of humification (HIX) in the upper lake were higher than those in the lower lake. This indicated the strong contributions of terrestrial sources to the upper lake, while DOM properties in the lower lake were more endogenous than those in the upper lake. On the temporal scale, protein-like substances played a more important role in DOM properties in April (Fmax=0.72±0.03 in the upper lake and 1.84±0.13 in the lower lake) and July (Fmax=1.10±0.05 in the upper lake and 1.49±0.04 in the lower lake) than in October. This result might be related to the water transfer of the eastern route of the SNWDP and to the death of submerged plants. However, the contents of humic-like substances (ranging from 55.61±1.23% to 66.56±0.58% for the upper lake and 29.98±1.56% to 61.98±0.99% for the lower lake) and degree of humification (from 2.23±0.06 to 3.10±0.05 for the upper lake and 1.06±0.05 to 2.62±0.08 for the lower lake) in Nansi Lake showed an increasing trend from April to October. In addition, significant correlations and good linear relationships between humic-like components, a254, and DOC in the 3 months reflected the continuous contribution of humic-like substances to DOM properties in Nansi Lake. Rapid changes in the fluorescence signal were largely dependent on changes in water quality. The fluorescence signal could be a tool for the management of water quality in Nansi Lake.
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Affiliation(s)
- Haoyu Ren
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China
| | - Xin Yao
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China.
- Taihu Laboratory for Lake Ecosystem Research, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China.
| | - Feiyang Ma
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China
| | - Tuantuan Fan
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China
| | - Huanguang Deng
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China
| | - Yinghao Zhang
- School of Environment and Planning, Liaocheng University, Road 1, Liaocheng, 252000, Hunan, China
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Mng'ong'o M, Munishi LK, Ndakidemi PA, Blake W, Comber S, Hutchinson TH. Toxic metals in East African agro-ecosystems: Key risks for sustainable food production. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2021; 294:112973. [PMID: 34102465 DOI: 10.1016/j.jenvman.2021.112973] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 05/25/2021] [Accepted: 05/30/2021] [Indexed: 06/12/2023]
Abstract
The dramatic increase in world population underpins current escalating food demand, which requires increased productivity in the available arable land through agricultural intensification. Agricultural intensification involves increased agrochemicals use to increase land productivity. Increased uses of agrochemicals pose environmental and ecological risks such as contamination and water eutrophication. Consequently, toxic metals accumulate in plant products, thus entering the food chain leading to health concerns. To achieve this study, secondary data from peer-reviewed papers, universities, and government authorities were collected from a public database using Tanzania as a case study. Data from Science Direct, Web of Science, and other internet sources were gathered using specific keywords such as nutrient saturation and losses, water eutrophication, potentially toxic metal (PTEs), and impact of toxic metals on soils, water, and food safety. The reported toxic metal concentrations in agro-ecosystem worldwide are linked to agricultural intensification, mining, and urbanization. Statistical analysis of secondary data collected from East African agro-ecosystem had wide range of toxic metals concentration such as; mercury (0.001-11.0 mg Hg/kg), copper (0.14-312 mg Cu/kg), cadmium (0.02-13.8 mg Cd/kg), zinc (0.27-19.30 mg Zn/kg), lead (0.75-51.7 mg Pb/kg) and chromium (19.14-34.9 mg Cr/kg). In some cases, metal concentrations were above the FAO/WHO maximum permissible limits for soil health. To achieve high agricultural productivity and environmental safety, key research-informed policy needs are proposed: (i) development of regulatory guidelines for agrochemicals uses, (ii) establishment of agro-environmental quality indicators for soils and water assessment to monitor agro-ecosystem quality changes, and (iii) adoption of best farming practices such as split fertilization, cover cropping, reduced tillage, drip irrigation to ensure crop productivity and agro-ecosystem sustainability. Therefore, robust and representative evaluation of current soil contamination status, sources, and processes leading to pollution are paramount. To achieve safe and sustainable food production, management of potential toxic metal in agro-ecosystems is vital.
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Affiliation(s)
- Marco Mng'ong'o
- School of Life Sciences and Bioengineering (LiSBE), Nelson Mandela African Institution of Science and Technology, P.O.Box 447, Arusha, Tanzania; School of Geography, Earth and Environmental Science, University of Plymouth, Drake Circus, PL4 8AA, UK.
| | - Linus K Munishi
- School of Life Sciences and Bioengineering (LiSBE), Nelson Mandela African Institution of Science and Technology, P.O.Box 447, Arusha, Tanzania.
| | - Patrick A Ndakidemi
- School of Life Sciences and Bioengineering (LiSBE), Nelson Mandela African Institution of Science and Technology, P.O.Box 447, Arusha, Tanzania.
| | - William Blake
- School of Geography, Earth and Environmental Science, University of Plymouth, Drake Circus, PL4 8AA, UK.
| | - Sean Comber
- School of Geography, Earth and Environmental Science, University of Plymouth, Drake Circus, PL4 8AA, UK.
| | - Thomas H Hutchinson
- School of Geography, Earth and Environmental Science, University of Plymouth, Drake Circus, PL4 8AA, UK.
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Assessing Heavy Metal Contamination Risk in Soil and Water in the Core Water Source Area of the Middle Route of the South-to-North Water Diversion Project, China. LAND 2021. [DOI: 10.3390/land10090934] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Abstract
The Middle Route Project of China’s South-to-North Water Diversion Project (SNWDP) is a national-level water source protection zone and the ecological safety of its water quality and surrounding soil is of great significance. In this study, heavy metals in the surface water and topsoil in the core water source area were quantitatively analyzed using a geographic information system (GIS) and geostatistical techniques combined with environmental pollution and ecological risk assessment models to determine their environmental contamination levels, ecological risk levels, and spatial distribution patterns. Cd was identified as an essential factor responsible for the overall slight heavy metal pollution in the topsoil layer. Heavy metal contamination in surface water was primarily driven by alert-level concentrations of Hg and was consistently distributed in areas with high concentrations of Hg in the topsoil. Applying the potential ecological risk index (RI) revealed two key results. First, surface water showed no ecological risk. The concentrations of heavy metals in surface water met the goals set by relevant authorities in China. Second, overall, the topsoil was at low ecological risk, with a spatial pattern primarily influenced by Cd and Hg. Some heavy metals might have similar pollution sources and originate from human activities such as industrial activities, mining and smelting, and pesticide and chemical fertilizer applications. The study is important for improving the soil and water ecology in the reservoir area and ensuring the northward diversion of high-quality water. In addition, it provides a sound basis for making decisions about local heavy-metal remediation and treatment projects.
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Adsorption Studies on Magnetic Nanoparticles Functionalized with Silver to Remove Nitrates from Waters. WATER 2021. [DOI: 10.3390/w13131757] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]
Abstract
This paper presents a novel procedure for the treatment of contaminated water with high concentrations of nitrates, which are considered as one of the main causes of the eutrophication phenomena. For this purpose, magnetic nanoparticles functionalized with silver (Fe3O4@AgNPs) were synthesized and used as an adsorbent of nitrates. Experimental conditions, including the pH, adsorbent and adsorbate dose, temperature and contact time, were analyzed to obtain the highest adsorption efficiency for different concentration of nitrates in water. A maximum removal efficiency of 100% was reached for 2, 5, 10 and 50 mg/L of nitrate at pH = 5, room temperature, and 50, 100, 250 and 500 µL of Fe3O4@AgNPs, respectively. The characterization of the adsorbent, before and after adsorption, was performed by energy dispersive X-ray spectroscopy, scanning electron microscopy, Brunauer-Emmett-Teller analysis and Fourier-transform infrared spectroscopy. Nitrates can be desorbed, and the adsorbent can be reused using 500 µL of NaOH solution 0.01 M, remaining unchanged for the first three cycles, and exhibiting 90% adsorption efficiency after three regenerations. A deep study on equilibrium isotherms reveals a pH-dependent behavior, characterized by Langmuir and Freundlich models at pH = 5 and pH = 1, respectively. Thermodynamic studies were consistent with physicochemical adsorption for all experiments but showed a change from endothermic to exothermic behavior as the temperature increased. Interference studies of other ions commonly present in water were carried out, enabling this procedure as very selective for nitrate ions. In addition, the method was applied to real samples of seawater, showing its ability to eliminate the total nitrate content in eutrophized waters.
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de Oliveira KL, Ramos RL, Oliveira SC, Christofaro C. Spatial variability of surface water quality in a large Brazilian semiarid reservoir and its main tributaries. ENVIRONMENTAL MONITORING AND ASSESSMENT 2021; 193:409. [PMID: 34114093 DOI: 10.1007/s10661-021-09194-9] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/16/2020] [Accepted: 06/01/2021] [Indexed: 06/12/2023]
Abstract
Brazil has one of the greatest hydroelectric potential in the world with high number of reservoirs for the electricity generation. However, little is known about the influence of these environments on the water quality. The water quality monitoring data from 14 stations distributed throughout the Irapé HPP reservoir (lentic environment), and its main tributaries (lotic environment), between the years 2008 and 2018, were evaluated and compared to assess the spatial variability of water quality. The analyzed parameters included total alkalinity, thermotolerant coliforms, electric conductivity, biochemical oxygen demand, dissolved iron, total phosphorus, nitrate, total ammoniacal nitrogen, dissolved oxygen, pH, total dissolved solids, sulfate, water temperature, and turbidity. Cluster analysis (CA), Kruskal-Wallis (KW) tests, Spearman rank-order correlation, and principal component analysis (PCA) were applied to identify and compare the relationship between the main parameters in the lotic and lentic environments. The CA resulted in four clusters according to proximity and the environment type (lotic or lentic). In general, the water quality showed better conditions in the reservoir and in the lotic stations on the immediate surround. The results may be associated with the greater sedimentation in the lentic environment. The analyses indicated that agricultural activities and the geochemical characteristics of the region are the main responsible for changes in the water quality.
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Affiliation(s)
- Karla Lorrane de Oliveira
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil
| | - Ramatisa Ladeia Ramos
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil
| | - Sílvia Corrêa Oliveira
- Department of Sanitary and Environmental Engineering, Federal University of Minas Gerais, 30.270-901, P.O. Box 1294, Belo Horizonte, MG, Brazil.
| | - Cristiano Christofaro
- Department of Forestry Engineering, Federal University of Jequitinhonha and Mucuri Valleys, 39.100-000, P.O. Box 5000, Diamantina, MG, Brazil
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Progressing towards Environmental Health Targets in China: An Integrative Review of Achievements in Air and Water Pollution under the “Ecological Civilisation and the Beautiful China” Dream. SUSTAINABILITY 2021. [DOI: 10.3390/su13073664] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Despite the positive effect of industrialisation on health and quality of life indicators across the globe, it is also responsible for the release of chemical toxins into the environment. Thus, the pursuit of economic development through industrialisation has equally nurtured numerous environmental disasters with accompanying catastrophic health effects. China is one of the countries with high carbon emissions, but new policy changes have resulted in massive gains in controlling environmental damage while enhancing the environment-related quality of life. This paper combines the six-step integrative review strategy with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) strategy to determine appropriate exclusion and inclusion criteria to explore the available stock of literature. We note that overall pollution in China fell by 10% between 2014 and 2019 whereas the average fine particulate matter (PM2.5) concentration of 93 micrograms per cubic meter reduced by 47% by 2019. Beijing exhibited the top 200 most polluted cities in 2019 after recording the lowest PM2.5 ever. All cities that implemented the 2012 Environmental Air Quality Standards reduced the average concentration of PM2.5 and sulfur dioxide by 42–68% by the end of 2018. Improvements in freshwater quality and a decline in water pollution levels were recorded despite increases in economic growth, urbanisation, energy use, trade openness, and agriculture, all of which are major stimulants of pollution. Deterring environmental tariff, tight ecological inspections, closing down of non-compliant producers, heavy investment in environmental control, and the ambitious five year-plan to revitalise renewable energy goals emanating from China’s ecological civilisation masterplan are responsible for these improvements in air and water pollution. China needs to work more aggressively to consolidate the gains already made in order to quicken the actualisation of the ecological civilisation and beautiful China dream.
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Yao X, Cao Y, Zheng G, Devlin AT, Yu B, Hou X, Tang S, Xu L, Lu Y. Use of life cycle assessment and water quality analysis to evaluate the environmental impacts of the bioremediation of polluted water. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 761:143260. [PMID: 33223159 DOI: 10.1016/j.scitotenv.2020.143260] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Revised: 09/19/2020] [Accepted: 10/21/2020] [Indexed: 06/11/2023]
Abstract
The lakes along the Yangtze River are important source of pollutants that ultimately flow from the river into the East China Sea. Bioremediation is a green technology used to treat polluted water in lakes along the Yangtze River. Life cycle assessment and a comprehensive water quality index are used to evaluate the potential environmental impacts of constructed wetlands (CWs), ecological floating beds (EFBs), and combined ecological floating beds (CEFBs). The results showed that the raw material acquisition, construction, and operation of the CWs, EFBs, and CEFBs accounted for 24.1%, 35.3%, and 40.6%, respectively, of the total environmental impact. The acquisition of raw materials to construct the bioremediation system accounted for 51.6% of the total environmental impact. Among the nine impact categories considered, the system's global warming potential was the largest. Among the three stages of the project (raw material acquisition, construction, and operation), construction had the largest impact on eutrophication (the eutrophic potential of the construction stage was the largest). Furthermore, the operation of the project reduced the human eco-toxicity potential. The evaluation of the water quality before and after implementing the project revealed that CEFBs purified the water more effectively than CWs and EFBs did, particularly with respect to the removal of the total phosphorus.
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Affiliation(s)
- Xiaochen Yao
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China
| | - Yun Cao
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
| | - Guodi Zheng
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and the Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Adam T Devlin
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China; Key Laboratory of Poyang Lake Wetland and Watershed Research, Ministry of Education, Jiangxi Normal University, Nanchang 330022, China
| | - Bao Yu
- Center for Environmental Remediation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; College of Resources and the Environment, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Hou
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China
| | - Siwen Tang
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China
| | - Lingming Xu
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China
| | - Yuanhong Lu
- School of Geography and the Environment, Jiangxi Normal University, 330022 Nanchang, China
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Han X, Xiao J, Wang L, Tian S, Liang T, Liu Y. Identification of areas vulnerable to soil erosion and risk assessment of phosphorus transport in a typical watershed in the Loess Plateau. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 758:143661. [PMID: 33248771 DOI: 10.1016/j.scitotenv.2020.143661] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/22/2020] [Revised: 11/03/2020] [Accepted: 11/03/2020] [Indexed: 06/12/2023]
Abstract
Soil erosion is an increasingly serious eco-environmental problem and an important driver of phosphorus loss, which not only reduces soil productivity but also decreases water availability. The integration of the universal soil loss equation (USLE) and the geographic information system (GIS) technique is globally popular for erosion prediction and assessment. The Fen River basin is located in the east of the Loess Plateau and has eco-environmental problems of soil erosion and eutrophication because of excess phosphorus content. This study attempted to use the USLE model to evaluate soil erosion and the transport of the resulting particulate phosphorus in the Fen River basin under a GIS framework. The results showed that soil erosion in 15.8% of the study area exceeded 8000 t/(km2·a) and was mainly distributed in the upper Fen River basin. Soil erosion was greatest in the bareland area, with an average of approximately 1.22 × 104 t/(km2·a), followed by that in grassland. Soil erosion in the study area is most sensitive to the rainfall erodibility (R), followed by the soil erodibility (K), topographic factors including slope steepness (S) and slope length (L), the soil and water conservation factor (P), and the vegetation cover and management factor (C). Similar to soil erosion, the high-risk areas of particulate phosphorus transport were mainly concentrated in the upper reaches of the basin. The study also pointed out that the combined use of available data sources with the USLE model and GIS technique is a viable option to calculate soil erosion and assess the risk of particulate phosphorus transport, which could provide a scientific basis for reducing soil erosion and controlling phosphorus migration.
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Affiliation(s)
- Xiaoxiao Han
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Jun Xiao
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China; Center for Excellence in Quaternary Science and Global Change, Chinese Academy of Sciences, China
| | - Lingqing Wang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Shuhan Tian
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China
| | - Tao Liang
- Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; University of the Chinese Academy of Sciences, Beijing 100049, China; Sino-Danish College, University of Chinese Academy of Sciences, Beijing 100049, China
| | - Yujie Liu
- State Key Laboratory of Loess and Quaternary Geology, Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China
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Shao Z, Lu J, Ding J, Fan F, Sun X, Li P, Fang Y, Hu Q. Novel green chitosan-pectin gel beads for the removal of Cu(II), Cd(II), Hg(II) and Pb(II) from aqueous solution. Int J Biol Macromol 2021; 176:217-225. [PMID: 33581208 DOI: 10.1016/j.ijbiomac.2021.02.037] [Citation(s) in RCA: 45] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2020] [Revised: 02/04/2021] [Accepted: 02/04/2021] [Indexed: 11/20/2022]
Abstract
Chitosan-pectin gel beads (CPBs) were synthesized via a facile and green method and applied to remove heavy metals from aqueous solution. The structural characteristics of CPBs were investigated by SEM and FTIR, the mechanical strength of CPBs was measured by Texture Analyzer and the stability of CPBs was evaluated in acidic solution. To study the adsorption characteristics, the effect of pH, contact time, initial heavy metals concentration, temperature, adsorption mechanism and regeneration were systematically investigated. The adsorption kinetics fitted well pseudo-second-order model, and the adsorption isotherms were well described by Langmuir model. The maximum adsorption capacities of Cu(II), Cd(II), Hg(II) and Pb(II) were 169.4, 177.6, 208.5 and 266.5 mg/g, respectively. The adsorption-desorption experiments revealed that the CPBs exhibited a great reusability. Thus, the synthesized CPBs in this study had the potential to be utilized as an environment-friendly and green adsorbent for the removal of heavy metals.
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Affiliation(s)
- Zhiying Shao
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Jilai Lu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Jian Ding
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Fengjiao Fan
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Xinyang Sun
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
| | - Peng Li
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China.
| | - Yong Fang
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China.
| | - Qiuhui Hu
- College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China
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Geng M, Wang K, Yang N, Li F, Zou Y, Chen X, Deng Z, Xie Y. Evaluation and variation trends analysis of water quality in response to water regime changes in a typical river-connected lake (Dongting Lake), China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2021; 268:115761. [PMID: 33035913 DOI: 10.1016/j.envpol.2020.115761] [Citation(s) in RCA: 32] [Impact Index Per Article: 10.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/28/2020] [Revised: 09/26/2020] [Accepted: 09/28/2020] [Indexed: 06/11/2023]
Abstract
Lake water pollution has caused many serious ecological issues globally. An emerging public concern over water quality deterioration in lakes has heightened the need to evaluate the water quality of lakes at long-term scales, particularly for those with high hydrological alterations. This study combines the Mann-Kendall (M-K) test and self-organising map (SOM) to characterise and evaluate water quality trends in Dongting Lake, China, from 1991 to 2018, before and after the inauguration of the Three Gorges Dam (TGD). Herein, six water quality parameters were selected, namely pH, permanganate index (CODMn), ammonia nitrogen (NH3-N), total nitrogen (TN), total phosphorus (TP), and the five-day biochemical oxygen demand (BOD5). Our results show that the concentrations of TN and BOD5 increase significantly throughout the study period (|Z| ≥ 1.96). The number of abrupt change points for the six water quality parameters in the post-TGD period was greater than that in the pre-TGD period, which indicates an increased risk of water deterioration in the post-TGD period. The SOM results show that the pH values ranged from 7.64 to 7.85 among the four clusters; besides, the concentrations of the remaining water quality parameters from 1991 to 1997 and 2000 to 2003 were relatively lower, suggesting that the water quality in the pre-TGD period was better. The classification of TN and TP ranged from Level Ⅳ-Ⅴ among the clusters, which did not satisfy the level Ⅲ standard for potable water, thereby posing a higher ecological risk to the Dongting Lake. These results indicate the deterioration of the water quality in Dongting Lake during the post-TGD period under the influences of pollution load and hydrological regulation. Therefore, strict controls on the external nutrient loading and hydrological regulations should be considered for water quality management.
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Affiliation(s)
- Mingming Geng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; University of Chinese Academy of Sciences, Beijing, 100049, China
| | - Kelin Wang
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
| | - Nan Yang
- College of Architecture and Urban Planning, Hunan City University, Yiyang, 413000, Hunan, China
| | - Feng Li
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China.
| | - Yeai Zou
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
| | - Xinsheng Chen
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
| | - Zhengmiao Deng
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
| | - Yonghong Xie
- Key Laboratory of Agro-Ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China; Dongting Lake Station for Wetland Ecosystem Research, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, 410125, Hunan, China
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Wang Z, Shen Q, Hua P, Jiang S, Li R, Li Y, Fan G, Zhang J, Krebs P. Characterizing the anthropogenic-induced trace elements in an urban aquatic environment: A source apportionment and risk assessment with uncertainty consideration. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2020; 275:111288. [PMID: 32866925 DOI: 10.1016/j.jenvman.2020.111288] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/17/2020] [Revised: 07/10/2020] [Accepted: 08/20/2020] [Indexed: 06/11/2023]
Abstract
The spatial distribution of water quality status, especially in water bodies near intensively urbanized areas, is tightly associated with patterns of human activities. For establishing a robust assessment of the sediment quality in an urban aquatic environment, the source apportionment and risk assessment of Cr, Mn, Ni, Cu, Zn, As, Cd, Hg, and Pb in sediments from an anthropogenic-influenced lake were carried out with considering uncertainties from the analysis methods, random errors in the sample population and the spatial sediment heterogeneity. The distribution analysis of the trace metals with inverse distance weighting-determined method showed that the pollutants were concentrated in the middle and southern areas of the lake. According to the self-organizing map and constrained positive matrix factorization receptor model, agricultural sources (24.8%), industrial and vehicular sources (42.5%), and geogenic natural sources (32.7%) were the primary contributors to the given metals. The geogenic natural had the largest random errors, but the overall result was reliable according to the uncertainty analysis. Furthermore, the stochastic contamination and ecological risk models identified a moderate/considerable contamination level and a moderate ecological risk to the urban aquatic ecosystem. With consideration of uncertainties from the spatial heterogeneity, the contamination level of Hg, and the ecological risk of Cd in had a 20-30% probability of the increase.
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Affiliation(s)
- Zhenyu Wang
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, 510006, Guangzhou, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China; Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany
| | - Qiushi Shen
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany; State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; Department of Lake Research, UFZ - Helmholtz Centre for Environmental Research, Magdeburg, 39114, Germany; Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China; East Africa Great Lakes and Urban Ecosystem Joint Research Station, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Dar es Salaam P.O. Box, 9750, Tanzania
| | - Pei Hua
- SCNU Environmental Research Institute, Guangdong Provincial Key Laboratory of Chemical Pollution and Environmental Safety & MOE Key Laboratory of Environmental Theoretical Chemistry, South China Normal University, 510006, Guangzhou, China; School of Environment, South China Normal University, University Town, Guangzhou 510006, China.
| | - Shanshan Jiang
- Sino-Africa Joint Research Center, Chinese Academy of Sciences, Wuhan, 430074, China
| | - Ruifei Li
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany
| | - Yunben Li
- State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Chinese Academy of Sciences, Nanjing, 210008, China; College of Civil Engineering, Fuzhou University, 350108, Fuzhou, China
| | - Gongduan Fan
- College of Civil Engineering, Fuzhou University, 350108, Fuzhou, China
| | - Jin Zhang
- Institute of Groundwater and Earth Sciences, Jinan University, 510632, Guangzhou, China
| | - Peter Krebs
- Institute of Urban and Industrial Water Management, Technische Universität Dresden, 01062, Dresden, Germany
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Pan Y, Yuan Y, Sun T, Wang Y, Xie Y, Fan Z. Are the Water Quality Improvement Measures of China's South-to-North Water Diversion Project Effective? A Case Study of Xuzhou Section in the East Route. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17176388. [PMID: 32887294 PMCID: PMC7503950 DOI: 10.3390/ijerph17176388] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Revised: 08/27/2020] [Accepted: 08/28/2020] [Indexed: 01/29/2023]
Abstract
Xuzhou is the hub city of the east route of China's South-to-North Water Diversion (SNWD) project and implemented dozens of measures to ensure the water quality security of the water transmission line. In order to detect the effectiveness of water quality improvement measures, the monthly water quality data of five water quality parameters from 2005 to 2015 of six state-controlled monitoring sites in Xuzhou section were selected for analysis. The results showed that the water quality improved from 2.95 in 2005 to 2.74 in 2015, as assessed by the comprehensive water quality identification index (CWQII), and basically reached the Class III standards of China's Environmental Quality Standard for Surface Water (GB3838-2002) from 2011 to 2015. The trend analysis showed that the decline of ammonia nitrogen (NH3-N) was the most obvious among the five water quality parameters. However, the concentrations of phosphorus (TP) showed significant upward trends at three sites. The positive abrupt change of time series of water quality occurred in 2009-2011. The identification of influencing factors of water quality changes by multivariate statistical methods found that the urbanization factor accompanied by a decrease in agricultural nonpoint source pollution emissions and the enhancement of wastewater treatment capacity, the closure of factories with substandard emissions and precipitation were the major influencing factors of most water quality parameters, which confirmed the effectiveness of measures for water quality improvement in Xuzhou.
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