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Ryu YH, Min SK. Leveraging physics-based and explainable machine learning approaches to quantify the relative contributions of rain and air pollutants to wet deposition. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 931:172980. [PMID: 38705308 DOI: 10.1016/j.scitotenv.2024.172980] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2024] [Revised: 05/02/2024] [Accepted: 05/02/2024] [Indexed: 05/07/2024]
Abstract
A quantitative understanding of the roles of rainfall and pollutant concentrations in wet deposition is important because they critically influence terrestrial and aquatic ecosystems. However, their relative contributions to wet deposition, which vary across regions, have not yet been identified. We propose two methods that quantitatively separate the contributions of rain and pollutant concentrations to wet deposition: one is based on simplified equations describing the wet scavenging of pollutants and the other is based on random forest models employing SHapley Additive exPlanations. Three-dimensional long-term air quality simulations from 2003 to 2019 are used as inputs for both the physics-based and machine learning models. Remarkably, the results drawn from the explainable machine learning model are consistent with those from the physics-based approach: overall, rain is a more important limiting factor than pollutant concentrations and the relative contribution of rain is larger than that of pollutants by up to a factor of 3-4 in polluted regions. In polluted regions, pollutant concentrations can remain relatively high even in the presence of precipitation owing to continuous and intense emissions; therefore, wet deposition is limited by rainfall. The contribution of rainfall is larger by 1.5-2.5 than that of pollutant concentrations in regions even with low emissions and this considerably large role of rain suggests that regional or transboundary pollutant transport plays a key role in modulating wet deposition. However, in very remote regions, once the rainfall amount exceeds a certain value, rainfall no longer contributes to increasing wet deposition because atmospheric pollutants are readily removed by rain. So, the contributions of the two factors are comparable in pristine regions. Our results can serve as a basis for explaining interannual variations in wet deposition and for future projections of wet deposition under emission control plans and climate change scenarios across regions.
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Affiliation(s)
- Young-Hee Ryu
- Department of Atmospheric Sciences, Yonsei University, Seoul 03722, Republic of Korea.
| | - Seung-Ki Min
- Division of Environmental Science and Engineering, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea; Institute for Convergence Research and Education in Advanced Technology, Yonsei University, Incheon, Republic of Korea
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Guan W, Zhang J, Liu Q. Quantitative evaluation of anthropogenic sources and health risks of rare earth elements in airborne particulate matter. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 945:173960. [PMID: 38897472 DOI: 10.1016/j.scitotenv.2024.173960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 06/06/2024] [Accepted: 06/10/2024] [Indexed: 06/21/2024]
Abstract
Rare earth elements (REEs) have emerged as contaminants in airborne particulate matter (PM); however, their anthropogenic sources remain poorly quantified, and associated health risks are unknown. This study investigates the REE distribution across eight sizes of airborne PM during July and December in Qingdao, a major Chinese port city. Our results reveal a single coarse-mode distribution with REE concentrations. In contrast, fine PM (size: 0.43-2.1 μm) exhibits notable enrichment of La and Ce compared to Al and other REEs. This study traces La and Ce enrichment to fluid catalytic cracking catalysts (FCCC)-related sources, including refinery and ship emissions, by comparing the REE fractionation in samples with potential sources. We quantify the contributions from FCCC-related sources to La (July: 33.6 % ± 3.2 %, Dec.: 46.4 % ± 5.2 %) and Ce (July: 16.5 % ± 14.3 %, Dec.: 30.3 % ± 12.2 %) by comparing measured concentrations with predictions derived from neighboring REEs, a method previously used exclusively in aquatic systems. For the first time, supply ratios of refinery and ship to FCCC-related La are calculated using a two-component mixing model based on the [La]FCCC/[V]anth, revealing the dominance of refinery emissions (July: 97.3 % ± 0.6 %, Dec.: 99.6 % ± 0.1 %). Furthermore, a global review of La and Ce anomalies that integrates published REE data with our findings reveals a widespread distribution of positive anomalies. The significantly positive correlation between La and Ce anomalies underscores FCCC-related emissions as a global source in fine PM, contributing 0-92 % (mean: 35 % ± 33 %) for La and 0-72 % (mean: 21 % ± 24 %) for Ce. Although the non-carcinogenic health risks of Ce are generally low globally, concerns should be raised in areas near source emissions, where Ce health risks sharply increased along with its concentrations. There is urgently need to establish a threshold value for La, owing to its global enrichment. This study provides novel insights into the sources and health implications of REEs in airborne PM.
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Affiliation(s)
- Wenkai Guan
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China; College of Chemistry and Chemical Engineering, Ocean University of China, Qingdao 266100, China
| | - Jing Zhang
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China; Faculty of Science, Academic Assembly, University of Toyama, 3190 Gofuku, Toyama, 9308555, Japan.
| | - Qian Liu
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Ocean University of China, Qingdao 266100, China.
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Ma X, Sha Z, Li Y, Si R, Tang A, Fangmeier A, Liu X. Temporal-spatial characteristics and sources of heavy metals in bulk deposition across China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 926:171903. [PMID: 38527555 DOI: 10.1016/j.scitotenv.2024.171903] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/11/2024] [Revised: 03/12/2024] [Accepted: 03/20/2024] [Indexed: 03/27/2024]
Abstract
With the rapid development of industries, agriculture, and urbanization (including transportation and population growth), there has been a significant alteration in the emission and atmospheric deposition of heavy metal pollutants. This has consequently given rise to a range of ecological and environmental health issues. In this study, we conducted a comprehensive two-year investigation on the temporal and spatial distribution characteristics of heavy metals in atmospheric deposition across China based on the Nationwide Nitrogen Deposition Monitoring Network (NNDMN). The atmospheric bulk deposition of Lead (Pb), Arsenic (As), Nickel (Ni), Selenium (Se), Chromium (Cr) and Cadmium (Cd) were 6.32 ± 1.59, 4.49 ± 0.57, 1.31 ± 0.21, 1.05 ± 0.16, 0.60 ± 0.06 and 0.21 ± 0.03 mg m-2 yr-1, respectively, with a large variation among the different regions of China. The order for atmospheric deposition flux was Southwest China > Southeast China > North China > Northeast China > Qinghai-Tibet Plateau and rural area > urban area > background area. The concentrations of heavy metals in bulk deposition exhibit seasonal variation with higher levels observed during winter compared to summer and spring, which are closely associated with anthropogenic activities. The Positive Matrix Factorization (PMF) results indicated that combustion, industrial emissions and traffic are the primary contributors to atmospheric deposition of heavy metals. The single factor pollution index (Pi) of heavy metals is consistently below 1, and the composite pollution index (Ni) is 0.16 across China, indicating that atmospheric heavy metal deposition is at a pollution-free level. The comprehensive potential ecological risk index of heavy metals is 11.8, with Cd exhibiting the highest single factor potential ecological risk index at 7.09, suggesting that more attention should be paid to Cd deposition in China. The present study reveals the spatial-temporal distribution pattern of atmospheric heavy metals deposition in China, identifying regional source characteristics and providing a theoretical foundation and strategies for reducing emissions of atmospheric pollutants.
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Affiliation(s)
- Xin Ma
- State Laboratory of Nutrient Use and Management, College of Resources & Environmental Sciences, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Science and Engineering, China Agricultural University, Beijing 100193, China
| | - Zhipeng Sha
- Faculty of Modern Agricultural Engineering, Kunming University of Science and Technology, 650500 Kunming, China
| | - Yunzhe Li
- State Laboratory of Nutrient Use and Management, College of Resources & Environmental Sciences, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Science and Engineering, China Agricultural University, Beijing 100193, China
| | - Ruotong Si
- State Laboratory of Nutrient Use and Management, College of Resources & Environmental Sciences, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Science and Engineering, China Agricultural University, Beijing 100193, China
| | - Aohan Tang
- State Laboratory of Nutrient Use and Management, College of Resources & Environmental Sciences, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Science and Engineering, China Agricultural University, Beijing 100193, China
| | - Andreas Fangmeier
- Institute of Landscape and Plant Ecology, University of Hohenheim, 70599 Stuttgart, Germany
| | - Xuejun Liu
- State Laboratory of Nutrient Use and Management, College of Resources & Environmental Sciences, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Farmland Soil Pollution Prevention and Remediation, Department of Environmental Science and Engineering, China Agricultural University, Beijing 100193, China.
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Feng C, Xing J, Yuan H, Song J, Li X, Zhan T, Ma J. Organic carbon in wet deposition of an urbanized coastal bay, North China: Flux, sources and biogeochemical implications. MARINE POLLUTION BULLETIN 2024; 201:116158. [PMID: 38430676 DOI: 10.1016/j.marpolbul.2024.116158] [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: 11/28/2023] [Revised: 02/08/2024] [Accepted: 02/09/2024] [Indexed: 03/05/2024]
Abstract
The process of atmospheric organic carbon (OC) entering the ocean through wet deposition plays a crucial role in the global carbon cycle. To gain insights into the biogeochemical dynamics of OC at the land-sea margin, we conducted an extensive four-year investigation on precipitation OC in Jiaozhou Bay (JZB). The results showed that the volume-weighted mean concentration of particulate OC (POC) and dissolved OC (DOC) in precipitation were 0.38 and 2.06 mg C L-1 with an average wet deposition flux of OC for 2666.5 mg C m-2 yr-1. The source of POC in precipitation is predominantly by the C3 plant emission and burning and fossil fuel combustion. Wet deposition contributed 986.6 t yr-1 of OC of which 506.3 t yr-1 of bioavailable DOC, which could have significant implications for carbon cycle in the JZB. This study could enhance the understanding of the marine atmospheric OC in coastal areas.
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Affiliation(s)
- Chenlong Feng
- College of Chemical and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China; Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China
| | - Jianwei Xing
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Huamao Yuan
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Jinming Song
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Xuegang Li
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Tianrong Zhan
- College of Chemical and Molecular Engineering, Qingdao University of Science and Technology, Qingdao 266042, China
| | - Jun Ma
- Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-science, Chinese Academy of Sciences, Qingdao 266071, China
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5
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Li S, Dong Y, Sun X, Zhao Y, Zhao L, Zhang W, Xiao T. Seasonal and spatial variations of Synechococcus in abundance, pigment types, and genetic diversity in a temperate semi-enclosed bay. Front Microbiol 2024; 14:1322548. [PMID: 38274747 PMCID: PMC10808157 DOI: 10.3389/fmicb.2023.1322548] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2023] [Accepted: 12/29/2023] [Indexed: 01/27/2024] Open
Abstract
Synechococcus is abundant and globally widespread in various marine environments. Seasonal and spatial variations in Synechococcus abundance, pigment types, and genetic diversity were investigated based on flow cytometric analysis and high-throughput sequencing of cpcBA operon (encoding phycocyanin) and rpoC1 gene (encoding RNA polymerase) in a temperate semi-enclosed bay. Synechococcus abundance exhibited seasonal variations with the highest value in summer and the lowest value in winter, which was consistent with temperature variation. Three pigment types of Synechococcus type 1, type 2, and type 3 were distinguished based on cpcBA operon, which displayed obvious variations spatially between the inner and the outer bay. Freshwater discharge and water turbidity played important roles in regulating Synechococcus pigment types. Synechococcus assemblages were phylogenetically diverse (12 different lineages) based on rpoC1 gene and dominated by three core lineages S5.1-I, S5.1-IX, and S5.2-CB5 in different seasons. Our study demonstrated that Synechococcus abundance, pigment types, and genetic diversity displayed variations seasonally and spatially by different techniques, which were mainly driven by temperature, salinity, nutrients, and turbidity. The combination of more technical means provides more information for studying Synechococcus distribution. In this study, three pigment types of Synechococcus were discriminated simultaneously by dual lasers flow cytometer for the first time.
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Affiliation(s)
- Suheng Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Yi Dong
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Xiaoxia Sun
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
- Jiaozhou Bay Marine Ecosystem Research Station, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
| | - Yuan Zhao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Li Zhao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Wuchang Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
| | - Tian Xiao
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, China
- Laboratory for Marine Ecology and Environmental Science, Qingdao National Laboratory for Marine Science and Technology, Qingdao, China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, China
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Cui H, Hu K, Zhao Y, Zhang W, Zhu Z, Liang J, Li D, Zhou J, Zhou J. Impacts of atmospheric copper and cadmium deposition on the metal accumulation of camphor leaves and rings around a large smelter. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023:10.1007/s11356-023-27675-x. [PMID: 37193791 DOI: 10.1007/s11356-023-27675-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/19/2022] [Accepted: 05/11/2023] [Indexed: 05/18/2023]
Abstract
The atmospheric deposition of copper (Cu) and cadmium (Cd) was monitored in eight sites around a Cu smelter with similar distance to verify whether tree leaf and ring can be used as bio-indicators to track spatial pollution record. Results showed that total atmospheric deposition of Cu (103-1215 mg/m2/year) and Cd (3.57-11.2 mg/m2/year) were 4.73-66.6 and 3.15-12.2 times higher than those in background site (164 mg/m2/year and 0.93 mg/m2/year). The frequencies of wind directions significantly influenced the atmospheric deposition of Cu and Cd, and the highest atmospheric deposition of Cu and Cd were at the prevalent northeastern wind (JN), and low frequency south (WJ) and north (SW) winds for the lowest deposition fluxes. Since the bioavailability of Cd was higher than that of Cu, the atmospheric deposition of Cd was more easily adsorbed by tree leaf and ring, resulting in only significant relation between atmospheric Cd deposition and Cinnamomum camphora leaves and tree ring Cd. Although tree rings cannot correctly record the atmospheric Cu and Cd deposition, higher concentrations in the indigenous tree rings than the transplanted tree rings suggested that tree rings can reflect to some extent the variations of atmospheric deposition. Generally, spatial pollution of atmospheric deposition of heavy metals cannot reflect the distribution of soil total and available metals around the smelter, and only camphor leaf and tree ring can bio-indicate Cd deposition. A major implication of these findings is that leaf and tree ring can serve for biomonitoring purposes to assess the spatial distribution of atmospheric deposition metal with high bioavailability around a pollution source with similar distance.
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Affiliation(s)
- Hongbiao Cui
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
- Engineering Laboratory of Anhui Province for Comprehensive Utilization of Water and Soil Resources and Construction of Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan, 232001, China
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, Nanjing, 210008, China
| | - Kaixin Hu
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
- Engineering Laboratory of Anhui Province for Comprehensive Utilization of Water and Soil Resources and Construction of Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan, 232001, China
| | - Yingjie Zhao
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
- Engineering Laboratory of Anhui Province for Comprehensive Utilization of Water and Soil Resources and Construction of Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan, 232001, China
| | - Wei Zhang
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
- Engineering Laboratory of Anhui Province for Comprehensive Utilization of Water and Soil Resources and Construction of Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan, 232001, China
| | - Zhenqiu Zhu
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, Nanjing, 210008, China
| | - Jiani Liang
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, Nanjing, 210008, China
| | - Detian Li
- School of Earth and Environment, Anhui University of Science and Technology, Huainan, 232001, China
- Engineering Laboratory of Anhui Province for Comprehensive Utilization of Water and Soil Resources and Construction of Ecological Protection in Mining Area with High Groundwater Level, Anhui University of Science and Technology, Huainan, 232001, China
| | - Jing Zhou
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, Nanjing, 210008, China
| | - Jun Zhou
- Key Laboratory of Soil Environment and Pollution Remediation, Institute of Soil Science, Chinese Academy Sciences, Nanjing, 210008, China.
- Department of Environmental, Earth and Atmospheric Sciences, University of Massachusetts, Lowell, MA, 01854, USA.
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Ma X, Xu J, Pan J, Yang J, Wu P, Meng X. Detection of marine oil spills from radar satellite images for the coastal ecological risk assessment. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2023; 325:116637. [PMID: 36419311 DOI: 10.1016/j.jenvman.2022.116637] [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: 07/13/2022] [Revised: 09/27/2022] [Accepted: 10/24/2022] [Indexed: 06/16/2023]
Abstract
Coastal ecosystems offer substantial support and space for the sustainable development of human society, and hence the ecological risk evaluation of coastal ecosystems is of great significance. In this article, we propose an innovative framework for evaluating coastal ecological risk by considering oil spill risk information and environmental vulnerability information. Specifically, a deep learning based marine oil spill monitoring method is presented to obtain the oil spill risk information from Sentinel-1 polarimetric synthetic aperture radar (PolSAR) images. The environmental vulnerability information is then obtained from biological sample data and habitat information. Finally, a weighted probability model is introduced to utilize the oil spill risk and environmental vulnerability information, to evaluate the coastal ecological risk. In the experimental part, the proposed oil spill monitoring method shows its reliability in global ocean areas, and the proposed model is adopted to evaluate the ecological risk in Jiaozhou Bay, China. The results show that the ecological situation of more than half of the areas in Jiaozhou Bay is unstable, and the areas with high risk are mainly concentrated in the ports, shipping channels, and those areas with high biodiversity. This study provides some new perspectives on ecological risk assessment for coastal ecosystems, facilitating the planning process and the actions to be taken in response to the accidents that occur in the ocean, especially oil spill accidents.
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Affiliation(s)
- Xiaoshuang Ma
- School of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China; Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, 230601, China; Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei, 230601, China.
| | - Jiangong Xu
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China.
| | - Jun Pan
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Jie Yang
- State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, 430079, China
| | - Penghai Wu
- School of Resources and Environmental Engineering, Anhui University, Hefei, 230601, China; Information Materials and Intelligent Sensing Laboratory of Anhui Province, Anhui University, Hefei, 230601, China; Anhui Province Key Laboratory of Wetland Ecosystem Protection and Restoration, Anhui University, Hefei, 230601, China
| | - Xiangchao Meng
- Faculty of Electrical Engineering and Computer Science, Ningbo University, Ningbo, 315211, China
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Chen Y, Wang Q, Zhu J, Xi Y, Zhang Q, Dai G, He N, Yu G. Atmospheric Wet Iron, Molybdenum, and Vanadium Deposition in Chinese Terrestrial Ecosystems. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2022; 56:12898-12905. [PMID: 36026692 DOI: 10.1021/acs.est.2c03213] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/15/2023]
Abstract
Iron (Fe), molybdenum (Mo), and vanadium (V) are the main components of the three known biological nitrogenases, which constrain nitrogen fixation and affect ecosystem productivity. Atmospheric deposition is an important pathway of these trace metals into ecosystems. Here, we explored the deposition flux, spatiotemporal pattern, and influencing factors of atmospheric wet Fe, Mo, and V deposition based on China Wet Deposition Observation Network (ChinaWD) data from 2016 to 2020. Our results showed that atmospheric wet Fe, Mo, and V deposition was 7.77 ± 7.24, 0.16 ± 0.11, and 0.13 ± 0.12 mg m-2 a-1 in Chinese terrestrial ecosystems, respectively, and revealed obvious spatial patterns but no significant annual trends. Wet Fe deposition was significantly correlated with the soil Fe content. Mo and V deposition was more affected by anthropogenic activities than Fe deposition. Wet Mo deposition was significantly affected by Mo ore reserves and waste incineration. V deposition was significantly correlated with domestic biomass burning. This study quantified wet Fe, Mo, and V deposition in China for the first time, and the implications of atmospheric trace metal deposition on biological nitrogen fixation were discussed.
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Affiliation(s)
- Yanran Chen
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Qiufeng Wang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Jianxing Zhu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
| | - Yue Xi
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Qiongyu Zhang
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Guanhua Dai
- Research Station of Changbai Mountain Forest Ecosystems, Chinese Academy of Sciences, Antu 133613, China
| | - Nianpeng He
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
| | - Guirui Yu
- Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100190, China
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Arisekar U, Shakila RJ, Shalini R, Jeyasekaran G, Padmavathy P, Hari MS, Sudhan C. Accumulation potential of heavy metals at different growth stages of Pacific white leg shrimp, Penaeus vannamei farmed along the Southeast coast of Peninsular India: A report on ecotoxicology and human health risk assessment. ENVIRONMENTAL RESEARCH 2022; 212:113105. [PMID: 35351458 DOI: 10.1016/j.envres.2022.113105] [Citation(s) in RCA: 15] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 02/15/2022] [Accepted: 03/08/2022] [Indexed: 06/14/2023]
Abstract
This study compared the heavy metal concentration in water, sediment, and shrimp at different growth stages of culture and subsequently evaluated the ecotoxicological and human health risk status. Total trace element concentration in the water, sediment and shrimp ranged from not detected (ND) (Hg) to 91.05 (Fe) μg/L, 0.01 (Hg) to 19, 246.33 (Fe) mg/kg, and ND (Hg) to 13.98 (Fe) mg/kg, respectively. Toxic metals such as, Cd, Hg, and Pb in shrimps ranged from ND to 2.11 mg/kg, ND to 0.158 mg/kg, ND to 0.088 mg/kg, and ND to 0.469 mg/kg, respectively. Toxic heavy metals at all the growth stages of shrimps (days of culture (DOC)-01 to DOC-90) were found below the maximum residual limit (MRL) of 0.5 mg/kg set by the European Commission (EC). Similarly, Cu, Zn, and As concentrations in shrimp were also far below the MRLs of 30 mg/kg, 100 mg/kg, and 76 mg/kg set by the World Health Organization and Food Safety and Standard Authority of India, respectively. The concentration of heavy metals increased from DOC-01 to DOC-90 and was positively correlated with the length and weight of the shrimps (p < 0.05). The risk assessment was estimated for both Indians and Americans and found no carcinogenic (lifetime cancer risk (LCR) < 10-4) and non-carcinogenic (THQ and TTHQ<1) health risks through consumption of shrimp cultured in this region. The hazard quotient (HQdermal < 1), hazard index (HI < 1), and LCR (<10-4) values of the heavy metals indicated that the dermal absorption might not be a concern for the local fishermen and marine fish/shrimp farmworkers. Water and sediment quality indices were applied to assess the surface water and sediment quality, and their results were found nil to low levels of heavy metal contamination at all the sampling sites. All heavy metals studied in sediments were < effect range low (ERL) and < threshold effect level (TEL), indicating no adverse biological effects on aquatic organisms. Therefore, regular monitoring of the shrimp aquaculture system throughout the crop will provide evidence of heavy metals bioaccumulation in shrimps. This research will provide baseline data to help farmers establish the optimal aquaculture practices and regulatory authorities to formulate legislation and strategies to reduce heavy metal biomagnification in shrimps from farm to fork.
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Affiliation(s)
- Ulaganathan Arisekar
- Department of Fish Quality Assurance and Management Fisheries College and Research Institute Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Tuticorin, 628 008, Tamil Nadu, India.
| | - Robinson Jeya Shakila
- Department of Fish Quality Assurance and Management Fisheries College and Research Institute Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Tuticorin, 628 008, Tamil Nadu, India.
| | - Rajendran Shalini
- Department of Fish Quality Assurance and Management Fisheries College and Research Institute Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Tuticorin, 628 008, Tamil Nadu, India
| | - Geevaretnam Jeyasekaran
- Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Nagapattinam, 611002, Tamil Nadu, India
| | - Pandurangan Padmavathy
- Department of Aquatic Environment and Management Fisheries College and Research Institute Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Tuticorin, 628 008, Tamil Nadu, India
| | - Murugesan Sri Hari
- School of Fisheries, Centurion University of Technology and Management, Odhisa, 761 211, India
| | - Chandran Sudhan
- Department of Fisheries Biology and Resources Management Fisheries College and Research Institute Tamil Nadu Dr. J. Jayalalithaa Fisheries University (TNJFU), Tuticorin, 628 008, Tamil Nadu, India
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10
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Reyes-Márquez A, Aguíñiga-García S, Morales-García SS, Sedeño-Díaz JE, López-López E. Temporal distribution patterns of metals in water, sediment, and components of the trophic structure in a tropical coastal lagoon of the Gulf of Mexico. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2022; 29:61643-61661. [PMID: 35020148 DOI: 10.1007/s11356-021-17815-6] [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: 07/06/2021] [Accepted: 11/23/2021] [Indexed: 06/14/2023]
Abstract
Trophic transfer and bioaccumulation of trace metals have a profound impact on the structure and function of coastal areas; however, the metal accumulation patterns in detritus-based food webs and the influence of climatic variability have not been thoroughly investigated. The Tampamachoco Lagoon (Gulf of Mexico) is a coastal system impacted by emissions from a thermoelectric plant. We evaluated the spatial-temporal distribution patterns of Al, Cd, Hg, Cr, Cu, and Pb in water, sediments, and in organisms categorized by trophic levels (TLs), trophic guilds, and habitat preferences. The sediments had the highest concentrations of metals with no significant differences between seasons. The indices of geo-accumulation and potential ecological risk classified sediments as "moderately contaminated", evidencing a threat to human health through consumption of detritivores and filter-feeders. The lowest TLs (filter-feeders and detritivorous) reached the maximum Metal Pollution Index in the rainy season. According to discriminant analyses of metals and species, omnivorous and zoobentivorous organisms were associated with Hg during the rainy and dry seasons; while Al, Cd, and Cu were related to low TLs, and seston was associated with Pb. Food web magnification factor analysis showed that: (a) Pb, Cu, and Cr were biodiluted as trophic levels increased; (b) Cd and Hg showed temporal biomagnification trends; (c) Al, Pb, Cu, and Cd showed significant biodilution from the lowest TL to intermediate TLs; and (d) Hg was transferred from the lowest to intermediate TLs with clear biomagnification effects.
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Affiliation(s)
- Alejandra Reyes-Márquez
- Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas, Prol. de Carpio y Plan de Ayala S/N Col. Santo Tomás, C.P. 11340, Ciudad de México, México
| | - Sergio Aguíñiga-García
- Instituto Politécnico Nacional, Centro Interdisciplinario de Ciencias Marinas, Av. Politécnico Nacional S/N, Col. Playa Palo de Santa Rita, BCS, 23096, La Paz, México
| | - Sandra Soledad Morales-García
- Centro Mexicano para la Producción más Limpia, Instituto Politécnico Nacional, Av. Acueducto S/N, Gustavo A. Madero, Ticomán, C.P., 07340, Ciudad de México, México
| | - Jacinto Elías Sedeño-Díaz
- Instituto Politécnico Nacional, Coordinación Politécnica Para La Sustentabilidad, C.P. 07738, Ciudad de México, México
| | - Eugenia López-López
- Instituto Politécnico Nacional, Escuela Nacional de Ciencias Biológicas, Prol. de Carpio y Plan de Ayala S/N Col. Santo Tomás, C.P. 11340, Ciudad de México, México.
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11
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Vithanage M, Bandara PC, Novo LAB, Kumar A, Ambade B, Naveendrakumar G, Ranagalage M, Magana-Arachchi DN. Deposition of trace metals associated with atmospheric particulate matter: Environmental fate and health risk assessment. CHEMOSPHERE 2022; 303:135051. [PMID: 35671821 DOI: 10.1016/j.chemosphere.2022.135051] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/04/2022] [Revised: 04/29/2022] [Accepted: 05/19/2022] [Indexed: 06/15/2023]
Abstract
Anthropogenic and natural sources influence trace metals (TMs) bound to different sized particulate matter (PM) in dry and wet atmospheric deposition, which can create ecosystem and human health issues in the long run. Limited reviews are available summarizing worldwide concentrations in TMs in atmospheric PMs, their sources and pathways. Simultaneously, quantitative assessment of the potential human and ecosystem health risks imposed by the atmospheric particulate matter has not been adequately reviewed. Addressing this gap, here we review, the concentration of TMs in dry deposition mainly varies with the responsible sources, whereas, in wet deposition, it depends on the solubility of TMs. Other than deposition on impervious surfaces, the TMs incorporated PM can be deposited on biological agents. Health risk assessments show that ingestion and dermal contact pathways are more likely to cause health issues, however, the probability of occurring ingestion and dermal contact pathways is limited. Attention must be paid to the contribution from non-exhaust and exhaust vehicular emissions for TMs in atmospheric deposition, understanding their impact on stormwater management and urban agriculture. Behaviors of TMs in the atmosphere depends on many complex factors including origin, wind patterns, and weather conditions. Therefore, future research needs to be carried to model and predict the fate and transfer of TMs once they are generated through natural and anthropogenic sources. We believe that such research would allow establishing pollution control policies and measures in urban environments which will be critical to reduce the levels of TMs associated with atmospheric deposition in the environment.
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Affiliation(s)
- Meththika Vithanage
- Ecosphere Resilience Research Centre, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, 10250, Sri Lanka; Molecular Biology and Human Diseases Project, National Institute of Fundamental Studies, Kandy, Sri Lanka.
| | - Pasan Chinthana Bandara
- Department of Biosystems Technology, Faculty of Technology, University of Sri Jayewardenepura, Sri Lanka
| | - Luís A B Novo
- Scotland's Rural College (SRUC), West Mains Road, Edinburgh, EH9 3JG, UK
| | - Amit Kumar
- Department of Chemistry, National Institute of Technology Jamshedpur, Jharkhand, 831014, India
| | - Balram Ambade
- Department of Chemistry, National Institute of Technology Jamshedpur, Jharkhand, 831014, India
| | - G Naveendrakumar
- Department of Bio-science, University of Vavuniya, Pampaimadu, Vavuniya, Sri Lanka
| | - Manjula Ranagalage
- Department of Environmental Management, Faculty of Social Sciences and Humanities, Rajarata University of Sri Lanka, Mihintale, 50300, Sri Lanka
| | - Dhammika N Magana-Arachchi
- Molecular Biology and Human Diseases Project, National Institute of Fundamental Studies, Kandy, Sri Lanka
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12
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Chen Y, Gao Y, Wu S, Zhang L, Wang Q, Yao X, Gao H. Wet deposition of atmospheric selenium and sensitivity to emission and precipitation patterns. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 835:155402. [PMID: 35490823 DOI: 10.1016/j.scitotenv.2022.155402] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/17/2022] [Revised: 03/31/2022] [Accepted: 04/16/2022] [Indexed: 06/14/2023]
Abstract
Wet deposition has been well recognized to be affected by species concentration and precipitation; nevertheless, the regimes in the controlling factor of concentration or precipitation have not yet been clarified. Using a trace element, selenium (Se), with dual effects on human health as a testbed, we first reproduce the spatial distribution of atmospheric Se concentrations and wet deposition fluxes through GEOS-Chem on a global scale, and examine the spatial patterns and relative importance of anthropogenic emissions vs. natural emissions over various regions around the world. We find that over most Northern Hemisphere continental regions, anthropogenic emissions are the dominant source for atmospheric Se concentration and deposition, while it is dominated by natural sources in the other areas. Nested grid simulations covering China and the continental United States are further conducted. The factors (i.e., Se concentration and precipitation) controlling the wet deposition flux of atmospheric Se are analyzed in detail, through the construction of wet deposition-concentration-precipitation (WETD-C-P) diagram for two regions (mainland China and the continental United States) based on the monthly results. The two regions show distinctive features, reflecting the different spatial patterns of Se emissions and precipitation. Both Se emissions and precipitation are higher in the eastern United States than that in the western United States. In contrast, the emissions and precipitation in northern and southern China show dipole features with stronger emissions over the northern side and higher precipitation on the southern side. We further investigate the impacts of future emission changes in China on atmospheric Se deposition and its sensitivity to emissions and precipitation, revealing a modulation of regime shifts, i.e., from the precipitation dominant regime to the concurrent governance of both precipitation and emissions. The proposed WETD-C-P relationship is useful in elucidating the regime and factors governing the spatial and temporal variations in wet deposition.
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Affiliation(s)
- Yutao Chen
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Yang Gao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China.
| | - Shiliang Wu
- Atmospheric Sciences Program, Michigan Technological University, Houghton, MI 49931, USA.
| | - Lei Zhang
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Qiaoqiao Wang
- Institute for Environmental and Climate Research, Jinan University, Guangzhou 510000, China
| | - Xiaohong Yao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
| | - Huiwang Gao
- Frontiers Science Center for Deep Ocean Multispheres and Earth System, and Key Laboratory of Marine Environment and Ecology, Ministry of Education, Ocean University of China, and Qingdao National Laboratory for Marine Science and Technology, Qingdao 266100, China
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13
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Luo M, Zhang Y, Li H, Hu W, Xiao K, Yu S, Zheng C, Wang X. Pollution assessment and sources of dissolved heavy metals in coastal water of a highly urbanized coastal area: The role of groundwater discharge. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 807:151070. [PMID: 34699837 DOI: 10.1016/j.scitotenv.2021.151070] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2021] [Revised: 10/09/2021] [Accepted: 10/14/2021] [Indexed: 06/13/2023]
Abstract
Heavy metal concentrations and physicochemical parameters in coastal waters were measured to analyze the spatial distribution characteristics, pollution degrees, and sources of heavy metals in the heavily urbanized Guangdong-Hong Kong-Macao Greater Bay Area (GBA) in China. Heavy metal concentrations in the eastern GBA were higher than those in the west, and the levels of Pb and Zn in seawater were higher than those in groundwater and river water. Both the pollution factors and comprehensive water quality index demonstrated that seawater was not contaminated with As, Cd, Cr, and Ni, whereas low to considerable levels of contamination of Pb and Zn were observed in the central and eastern sections of the GBA. Multiple statistical analyses suggested that the Pb and Zn contaminations in seawater were probably derived from atmospheric deposition and human activities, and the excess amounts of As, Cd, Cu, Ni, and Zn in groundwater were attributed to anthropogenic activities. The heavy metal fluxes from submarine groundwater discharge (SGD) were comparable to, or even greater than, those from local rivers. Therefore, SGD is a significant invisible contributor of heavy metals into the coastal ocean that has often been overlooked in comparison to other visible pollution sources. This study suggests that SGD should be considered in the assessment of heavy metal pollution and future water quality management protocols in marine ecosystems.
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Affiliation(s)
- Manhua Luo
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Yan Zhang
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Hailong Li
- MOE Key Laboratory of Groundwater Circulation and Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Wenli Hu
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Kai Xiao
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Shengchao Yu
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Chunmiao Zheng
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Xuejing Wang
- State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China.
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14
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Ebraheim G, Karbassi A, Mehrdadi N. The thermodynamic stability, potential toxicity, and speciation of metals and metalloids in Tehran runoff, Iran. ENVIRONMENTAL GEOCHEMISTRY AND HEALTH 2021; 43:4719-4740. [PMID: 33973140 DOI: 10.1007/s10653-021-00966-3] [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: 02/06/2021] [Accepted: 05/01/2021] [Indexed: 06/12/2023]
Abstract
Surface runoff is the most significant source of water in dry cities like Tehran. The surface runoff is polluted by heavy metals, which their risk level is a function of their speciation. Herein, Tehran runoff quality and the speciation of metals and metalloids were investigated. The results of quality showed that oxidation-reduction potential (Eh) and pH ranged from + 186 to + 230 mV and from 7.31 to 10.29, respectively. Cluster analysis indicated that Cr, Si, Mn, Fe, Pb, Se, Th, Ba, Ni, Li, and Sr had similar behaviors and origins, and salinity played an active role in restricting their concentrations. Eh and dissolved oxygen (DO) negatively affected the concentrations of all the studied elements. The speciation model (according to HSC Chemistry program) exhibited that all the studied elements are stable; however, in two cases, they would become unstable (pH < 7, Eh < - 480 mV or Eh > 1100 mV) and (pH > 10, Eh < - 570 mV or Eh > 970 mV). Also, Ba, Cd, Li, Mn, Al, As, Sr, Cr, Si, and Se are present in bioavailable species and As and Cd in the runoff exist in high toxic oxidation states of + 3 and + 2, respectively. The linear regression of Cu, Co, Cd, Zn, and As with Eh provided a good fit, and all of these metals were significant at levels 1 and 5%. Finally, it is recommended to continuously monitor the Eh-pH changes for investigating the potential toxicity of metals and predicting the metal pollution by regression equations in any other stations.
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Affiliation(s)
- Ghazal Ebraheim
- Department of Environmental Engineering, School of Environment, College of Engineering, University of Tehran, P.O. Box 14155-6135, Tehran, Iran
| | - Abdolreza Karbassi
- Department of Environmental Engineering, School of Environment, College of Engineering, University of Tehran, P.O. Box 14155-6135, Tehran, Iran.
| | - Naser Mehrdadi
- Department of Environmental Engineering, School of Environment, College of Engineering, University of Tehran, P.O. Box 14155-6135, Tehran, Iran
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15
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Samayamanthula DR, Sabarathinam C, Alayyadhi NA. Trace Elements and Their Variation with pH in Rain Water in Arid Environment. ARCHIVES OF ENVIRONMENTAL CONTAMINATION AND TOXICOLOGY 2021; 80:331-349. [PMID: 33247334 DOI: 10.1007/s00244-020-00787-y] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2020] [Accepted: 11/10/2020] [Indexed: 06/12/2023]
Abstract
Climate change in Kuwait has resulted in temperature fluctuations, frequent dust storms, and noticeable changes in the amount of precipitation. Pollutants released into the atmosphere from various sources affect the chemical composition of rainwater and impact its usability. The present study on rainwater focused on the determination of trace elements, sources, and their variation with respect to change in temperature and pH. The samples were collected from 12 different locations in both industrial and urban regions during significant rain events (n = 31) from November 2018 to March 2019 and samples were analyzed for trace elements in ICP-OES using standard USEPA 200.7 method. The mean concentration of the 16 elements analyzed followed the trend: Co < Cd < Cr < Mo < V<Ni < Pb < As < Se < Fe < Cu < Mn < Zn < Al < Ba < Sr and were inferred to be within the WHO permissible limits of drinking water. The analytical results revealed that Strontium (Sr) had the highest mean concentration (188 μg/L) followed by barium (Ba), aluminum (Al), and zinc (Zn) with mean concentrations of 95.2 μg/L, 30.4 μg/L, and, 16.6 μg/L respectively. The sources of contamination in rainwater were identified by calculating the enrichment factor (EF) using element concentration reported in Kuwait dust and from continental crustal values. EF for Fe, V, Ni, and Cr were below 10, indicating purely crustal sources. Ni, Zn, Cu, and Mn exhibited values between 10 and 100, reflecting industrial sources of contamination. EF for Sr was greater than 100, due to inputs from anthropogenic sources. A strong association between Al and pH along with correlation between Sr, Cr, Cu, Ni, Mo, V, and meteorological parameters was revealed from statistical analysis. Furthermore, pH Redox Equilibrium C programming (PHREEQC) was used to simulate changes in pH and temperature in rainwater to predict the resultant variations in trace element concentrations. There was no significant change observed in pH with rise in temperature, but the concentration of trace elements varied with change in pH. The concentration of V, Cr, and Al were most sensitive to pH variations. The results indicated that industrial emissions, fuel combustion, and dust in Kuwait are the primary sources of Al, Sr, Mn, Zn, and Ba in the rainwater samples. Since, the concentrations of these elements are relatively low, rainwater in Kuwait could be harvested for drinking and domestic purposes and used for recharging aquifers.
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Affiliation(s)
| | | | - Norah A Alayyadhi
- Water Research Center, Kuwait Institute for Scientific Research, Kuwait City, Kuwait
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16
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Souza IDC, Morozesk M, Mansano AS, Mendes VAS, Azevedo VC, Matsumoto ST, Elliott M, Monferrán MV, Wunderlin DA, Fernandes MN. Atmospheric particulate matter from an industrial area as a source of metal nanoparticle contamination in aquatic ecosystems. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021; 753:141976. [PMID: 32889320 DOI: 10.1016/j.scitotenv.2020.141976] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/11/2020] [Revised: 08/07/2020] [Accepted: 08/23/2020] [Indexed: 06/11/2023]
Abstract
Air pollution legislation and control worldwide is based on the size of particulate matter (PM) to evaluate the effects on environmental and human health, in which the small diameter particles are considered more dangerous than larger sizes. This study investigates the composition, stability, size and dispersion of atmospheric settleable particulate matter (SePM) in an aqueous system. We aimed to interrogate the changes in the physical properties and characteristics that can contribute to increased metal uptake by aquatic biota. Samples collected in an area influenced by the steel and iron industry were separated into 8 fractions (425 to ≤10 μm) and analysed physically and chemically. Results from ICP-MS and X-ray showed that the PM composition was mainly hematite with 80% of Fe, followed by Al, Mn and Ti. Among 27 elements analysed we found 19 metals, showing emerging metallic contaminants such as Y, Zr, Sn, La, Ba and Bi. Scanning electron microscopy (SEM) showed that SePM fractions are formed by an agglomeration of nanoparticles. Furthermore, dynamic light scattering (DLS), zeta potential and nanoparticle tracking analysis (NTA) demonstrated that SPM were dissociated in water, forming nanoparticles smaller than 200 nm, which can also contribute to water pollution. This study highlights that SePM contamination may be substantially higher than expected under that allowed in atmospheric regulatory frameworks, thereby extending their negative effect to water bodies upon settling, which is an underexplored area of our knowledge. We therefore provide important insights for future investigations on safety regulations involving SePM in the environment, indicating the need to revise the role of SePM, not solely associated with air pollution but also considering their deleterious effects on water resources.
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Affiliation(s)
- Iara da C Souza
- Departamento de Ciências Fisiológicas, Universidade Federal de São Carlos (DCF/UFSCar), Ave. Washington Luiz, Km 235, 13565-905 São Carlos, São Paulo, Brazil.
| | - Mariana Morozesk
- Instituto de Ciências Puras e Aplicadas, Universidade Federal de Itajubá (ICPA/UNIFEI), Irmã Ivone Drumond St., 200, Distrito Industrial II, 35903-087 Itabira, Minas Gerais, Brazil
| | - Adrislaine S Mansano
- Nanomedicine and Nanotoxicology Group, Physics Institute of São Carlos (IFSC), University of São Paulo (USP), São Carlos, São Paulo, Brazil
| | - Vitor A S Mendes
- Departamento de Engenharia de Materiais, Universidade Federal de São Carlos (DEMa/UFSCar), Ave. Washington Luiz, Km 235, 13565-905 São Carlos, São Paulo, Brazil
| | - Vinicius C Azevedo
- Department of Biological Sciences, Simon Fraser University, 8888 University Dr, Burnaby, BC V5A 1S6, Canada
| | - Silvia T Matsumoto
- Departamento de Ciências Biológicas, Universidade Federal do Espírito Santo (DBV/UFES), Ave. Fernando Ferrari, 514, 29075-910 Vitória, Espírito Santo, Brazil
| | - Michael Elliott
- Department of Biological and Marine Sciences, University of Hull, Hull HU6 7RX, UK; International Estuarine & Coastal Specialists Ltd., Leven HU17 5LQ, UK
| | - Magdalena V Monferrán
- ICYTAC: Instituto de Ciencia y Tecnología de Alimentos Córdoba, CONICET and Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Cdad. Universitaria, 5000 Córdoba, Argentina
| | - Daniel A Wunderlin
- ICYTAC: Instituto de Ciencia y Tecnología de Alimentos Córdoba, CONICET and Facultad de Ciencias Químicas, Universidad Nacional de Córdoba, Cdad. Universitaria, 5000 Córdoba, Argentina
| | - Marisa N Fernandes
- Departamento de Ciências Fisiológicas, Universidade Federal de São Carlos (DCF/UFSCar), Ave. Washington Luiz, Km 235, 13565-905 São Carlos, São Paulo, Brazil.
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Majumdar A, Satpathy J, Kayee J, Das R. Trace metal composition of rainwater and aerosol from Kolkata, a megacity in eastern India. SN APPLIED SCIENCES 2020. [DOI: 10.1007/s42452-020-03933-2] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022] Open
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18
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Qu W, Wang C, Luo M, Zheng C, Li H. Distributions, quality assessments and fluxes of heavy metals carried by submarine groundwater discharge in different types of wetlands in Jiaozhou Bay, China. MARINE POLLUTION BULLETIN 2020; 157:111310. [PMID: 32658676 DOI: 10.1016/j.marpolbul.2020.111310] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2020] [Revised: 05/20/2020] [Accepted: 05/20/2020] [Indexed: 06/11/2023]
Abstract
Intertidal groundwater and seawater were sampled to analyze the distribution characteristics, the contamination status and the submarine groundwater discharge (SGD)-associated fluxes of heavy metals Cu, Pb, Zn, Cd, Cr, and Hg as well as the metalloid As at four typical intertidal wetlands (including a sandy beach, a mud flat, a tidal marsh and an estuarine intertidal zone) of Jiaozhou Bay, China. Results show that the surface water near the Dagu River estuary suffers from a severe Cu pollution. The groundwater in the sandy beach and mud flat has stronger enrichment abilities of heavy metals than those at the other two sites. The contents of Pb and Zn in groundwater are mainly controlled by the sulfate reduction. At the mud flat, human activities may cause potential Pb contamination to groundwater. The heavy metal effluxes in the sandy beach are the largest of all the four wetlands.
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Affiliation(s)
- Wenjing Qu
- Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, School of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031, China; Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, School of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031, China; State Key Laboratory of Biogeology and Environmental Geology and School of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China; MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Chaoyue Wang
- Hebei Province Collaborative Innovation Center for Sustainable Utilization of Water Resources and Optimization of Industrial Structure, School of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031, China; Hebei Province Key Laboratory of Sustained Utilization and Development of Water Resources, School of Water Resources and Environment, Hebei GEO University, Shijiazhuang 050031, China
| | - Manhua Luo
- State Key Laboratory of Biogeology and Environmental Geology and School of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China; MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China
| | - Chunmiao Zheng
- Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China
| | - Hailong Li
- Guangdong Provincial Key Laboratory of Soil and Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China; State Environmental Protection Key Laboratory of Integrated Surface Water-Groundwater Pollution Control, School of Environmental Science and Engineering, Southern University of Science and Technology, Shenzhen 518055, China; State Key Laboratory of Biogeology and Environmental Geology and School of Scientific Research, China University of Geosciences (Beijing), Beijing 100083, China; MOE Key Laboratory of Groundwater Circulation & Environment Evolution and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, China.
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19
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Evidence of Natural and Anthropogenic Impacts on Rainwater Trace Metal Geochemistry in Central Mexico: A Statistical Approach. WATER 2020. [DOI: 10.3390/w12010192] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Trace metals Fe, Mn, Cr, Cu, Ni, Co, Pb, Zn, Cd, and As were determined on a monthly basis in a total of 52 rain samples collected from six different locations in the central region of Mexico during March 2016–April 2017. The average concentrations of trace metals (mg/L) in the rainwater samples showed an order of Zn (0.873) > Fe (0.395) > Mn (0.083) > Cr (0.041) ≥ Cu (0.041) > Pb (0.031) > Ni (0.020) > Co (0.013) > As (0.0003) > Cd (0.002). The differences observed in metal concentrations are related to variations in the influence of continental air masses, local transport, regional advection, and the solubility of trace metals. High concentrations of metals were observed in the months of March to May at all sites, probably due to the less extensive removal of air/air pollutants. The values obtained from the enrichment factor (EF) per metal showed relatively high values for Cd, Zn, Cu, Pb, Co, Ni, and Cr, suggesting anthropogenic origin. Pearson’s correlation matrix validated the distribution of trace metal sources and their relationships with local/regional meteorological characteristics. This paper presents relevant basic information for the evaluation of the toxic potential of rainwater and the possible health risks when using this source of water for human consumption.
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20
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Xing J, Song J, Yuan H, Li X, Li N, Duan L, Qi D. Atmospheric wet deposition of dissolved organic carbon to a typical anthropogenic-influenced semi-enclosed bay in the western Yellow Sea, China: Flux, sources and potential ecological environmental effects. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 182:109371. [PMID: 31252350 DOI: 10.1016/j.ecoenv.2019.109371] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2019] [Revised: 05/31/2019] [Accepted: 06/19/2019] [Indexed: 06/09/2023]
Abstract
Dissolved Organic Carbon (DOC) is a key organic compound in wet precipitation, but few data are available in China marginal seas. To probe the concentration, deposition flux, seasonality, source and potential ecological environmental effects of precipitation DOC, in this study, one-year precipitation samples were collected at Jiaozhou Bay (JZB), a typical anthropogenic-influenced semi-enclosed bay in the western Yellow Sea for the first time from June 2015 to May 2016. The concentrations of DOC in precipitation were highly variable with a volume-weighted mean (VWM) concentration of 3.63 mg C L-1, which was mostly higher than those in other areas. DOC concentrations were lower in wet season than that in dry season due to the dilution from more amount of rainfall. The wet deposition flux of DOC was calculated to be 3.15 g C m-2 yr-1 with 68.7% of which occurred in wet season mainly owing to the promoting of more rainfall amount. Besides, local emissions together with the long-range transport of pollutants were other factors controlling precipitation DOC. Fossil fuel combustion particularly coal burning was considered to be the leading source of precipitation DOC based on correlation analysis with some generally accepted indicators. Wet deposition dominates the external input of DOC at JZB by comparison with riverine input with a percentage of 54%. Heavy storm may exert enrichment effect on DOC levels in the surface water of JZB, and then promote the secondary productivity. This study emphasizes that wet deposition is an important process that should be seriously considered in the models of global/regional carbon biogeochemical cycling.
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Affiliation(s)
- Jianwei Xing
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China.
| | - Jinming Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China.
| | - Huamao Yuan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Xuegang Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Ning Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Liqin Duan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071, PR China; Laboratory for Marine Ecology and Environmental Science, Pilot National Laboratory for Marine Science and Technology (Qingdao), Qingdao, 266237, PR China; University of Chinese Academy of Sciences, Beijing, 100049, PR China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071, PR China
| | - Di Qi
- Key Laboratory of Global Change and Marine-Atmospheric Chemistry, SOA, Xiamen, 361005, PR China
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21
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Liu XY, Yang XF, Li YX, Zhang LJ. Sea surface pCO 2 in an urbanized coastal system (Jiaozhou Bay, China) during summer. MARINE POLLUTION BULLETIN 2019; 146:767-778. [PMID: 31426219 DOI: 10.1016/j.marpolbul.2019.07.039] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2019] [Revised: 07/16/2019] [Accepted: 07/16/2019] [Indexed: 06/10/2023]
Abstract
Various biogeochemical processes complicate carbon dioxide (CO2) behaviour in coastal oceans. Through eight summer surveys, detailed variations in CO2 mechanisms in the urbanized Jiaozhou Bay, China, were analysed. During the rainless period, respiration and dissolved inorganic carbon input from treated wastewater made the northeastern region a strong CO2 source, while the western region with cleaner seawater was a weak source because calcium carbonate (CaCO3) precipitation exceeded primary production. Rainfall events with different intensities and locations caused significantly different effects. When rainfall occurred over the sea, enhanced primary production caused a CO2 sink; when rainfall induced little terrestrial pollutant input, CaCO3 precipitation exceeded net primary production, leading to a CO2 source. When heavy rain caused bulk runoff, the northeastern region was a strong CO2 source because rivers flowing through downtown regions inputted considerable organic matter, while in the western region, runoff through suburbs and wetlands led to a strong sink.
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Affiliation(s)
- Xiang-Yu Liu
- Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China
| | - Xu-Feng Yang
- Key Laboratory of Marine Ecosystem and Biogeochemistry, State Oceanic Administration and Second Institute of Oceanography, Ministry of Natural Resources, Hangzhou 310012, China
| | - Yun-Xiao Li
- College of Resources and Environment, Shanxi Agricultural University, Taigu 030801, China
| | - Long-Jun Zhang
- Key Laboratory of Marine Environmental Science and Ecology, Ministry of Education, Ocean University of China, Qingdao 266100, China.
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22
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Feng W, Guo Z, Peng C, Xiao X, Shi L, Zeng P, Ran H, Xue Q. Atmospheric bulk deposition of heavy metal(loid)s in central south China: Fluxes, influencing factors and implication for paddy soils. JOURNAL OF HAZARDOUS MATERIALS 2019; 371:634-642. [PMID: 30889460 DOI: 10.1016/j.jhazmat.2019.02.090] [Citation(s) in RCA: 40] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/26/2018] [Revised: 01/30/2019] [Accepted: 02/25/2019] [Indexed: 05/09/2023]
Abstract
The depositions of heavy metal(loid)s (HMs) were measured in an urban agglomeration of China to investigate the fluxes, influencing factors, sources, and potential effects of these HMs. Our results showed that the deposition fluxes of As and Cd were higher in this area than in other regions. In the area, 59.63% of the total deposition fluxes of the Cr, Cu, Ni, Pb and Zn were observed in the wet season (March to July). Lower total fluxes of HMs were observed at the rural site. Principal component analysis (PCA) results showed that the As, Cd, Pb, and Zn might originate from the same anthropogenic sources, including traffic and industrial sources, and that the Cr, Cu, and Ni might come from natural sources. Correlation analysis and redundancy analysis (RDA) showed that rainfall, wind speed, and PMs were critical factors influencing the atmospheric bulk deposition of HMs. For the paddy soil, the input fluxes of HMs by deposition, accounted for 38.66-84.57% (except for Cr) of the total input fluxes. The prediction indicated that the accumulation of HMs in surface soil will notably increase over the next decades due to the influence of atmospheric deposition.
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Affiliation(s)
- Wenli Feng
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Zhaohui Guo
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China.
| | - Chi Peng
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Xiyuan Xiao
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Lei Shi
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Peng Zeng
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Hongzhen Ran
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
| | - Qinghua Xue
- School of Metallurgy and Environment, Central South University, Changsha, 410083, China
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23
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Ma Y, Tang Y, Xu H, Zhang X, Liu H, Wang S, Zhang W. Bulk/wet deposition of trace metals to rural, industrial, and urban areas in the Yangtze River Delta, China. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2019; 169:185-191. [PMID: 30448701 DOI: 10.1016/j.ecoenv.2018.11.002] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Revised: 10/30/2018] [Accepted: 11/01/2018] [Indexed: 06/09/2023]
Abstract
The bulk depositions of trace metals to three land uses in the Yangtze River Delta are investigated based on the collected 154 precipitation samples from August 2015 to May 2017. The volume-weighted mean (VWM) concentrations of Ni, Cu, Zn, Cd, and Pb were 13.28, 5.32, 13.02, 0.33, and 10.53 μg L-1, and 12%, 16%, 3%, 11%, and 26% of precipitation events exceeded the limits in the Central Drinking-Water Source Area (GB3838-2002), respectively. Furthermore, the five metals varied significantly under urban, industrial, and rural land use conditions, indicating that these metal concentrations were greatly determined by local sources; lower concentrations were found in sea and local air masses than in air masses from inland trajectories. Combining the precipitation amounts, the bulk deposition fluxes of the five metals were 25.99, 25.47, 20.60, 10.40, 0.64 mg m-2 yr-1. By comparing the metal deposition fluxes in 98 studies across China, Ni and Pb deposition in the Yangtze River Delta was higher, while that of Cd and Zn was lower than their respective averages across China, indicating that Ni and Pb pollution should receive more attention in the study area. CAPSULE: Bulk/wet deposition fluxes of trace metals varied greatly among rural, industrial, and urban areas, and Pb and Ni showed severe pollution levels in the Yangtze River Delta.
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Affiliation(s)
- Yuandan Ma
- State Key Laboratory of Subtropical Silviculture, Zhejiang A & F University, Hangzhou 311300, China
| | - Yuqiong Tang
- State Experimental Teaching Demonstration Center for Environmental Science and Engineering, Nanjing University, Nanjing 210023, China
| | - Hao Xu
- College of Landscape Architecture, Nanjing Forestry University, Nanjing, Jiangsu, China
| | - Xiuying Zhang
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China.
| | - Hongling Liu
- State Key Lab Pollut Control & Resource Reuse, School of the Environment, Nanjing University, Nanjing 210023, China.
| | - Shanqian Wang
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China
| | - Wuting Zhang
- International Institute for Earth System Science, Nanjing University, Nanjing 210023, China; Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China
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24
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Zhang Q, Song J, Li X, Peng Q, Yuan H, Li N, Duan L, Ma J. Concentrations and distribution of phthalate esters in the seamount area of the Tropical Western Pacific Ocean. MARINE POLLUTION BULLETIN 2019; 140:107-115. [PMID: 30803624 DOI: 10.1016/j.marpolbul.2019.01.015] [Citation(s) in RCA: 44] [Impact Index Per Article: 8.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2018] [Revised: 12/25/2018] [Accepted: 01/07/2019] [Indexed: 06/09/2023]
Abstract
A total of 14 phthalate esters (PAEs) were analysed by gas chromatography-mass spectrometry (GC-MS) to better understand its occurrence and distribution in seawater samples of M2 seamount in the Tropical Western Pacific Ocean (TWPO). The concentrations of ΣPAEs in the seawater ranged from 12.13 ng L-1 to 60.69 ng L-1 (av. 28.86 ng L-1), dominated by dibutyl phthalate (DBP), di(2‑ethylhexyl) phthalate (DEHP) and diisobutyl phthalate (DiBP). ΣPAEs concentrations in the southwest of the seamount were lower than those in the northeast, with the minima appearing above the seamount summit. Current-seamount interaction was reckoned to be the principal driving factors in the distribution of PAEs. DEHP posed a medium risk in seawater, suggesting that marine plastic pollution has become an urgent environmental issue that calls for more attention and actions. Microplastics leaching and atmospheric deposition might be the potential sources of PAEs.
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Affiliation(s)
- Qian Zhang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Jinming Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China.
| | - Xuegang Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Quancai Peng
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Huamao Yuan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Ning Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Liqin Duan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
| | - Jun Ma
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory of Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China; Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao 266071, China
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25
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Liang X, Tian C, Zong Z, Wang X, Jiang W, Chen Y, Ma J, Luo Y, Li J, Zhang G. Flux and source-sink relationship of heavy metals and arsenic in the Bohai Sea, China. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2018; 242:1353-1361. [PMID: 30130716 DOI: 10.1016/j.envpol.2018.08.011] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/12/2018] [Revised: 08/03/2018] [Accepted: 08/03/2018] [Indexed: 06/08/2023]
Abstract
This study conducted a field campaign to collect atmospheric deposition samples of heavy metals and arsenic, a metalloid element with typical chemical-physical characteristics (HMA), from 12 sampling sites and water samples from 37 rivers across the Bohai Sea (BS) and North Yellow Sea (NYS) in China. The HMA budgets in the BS and NYS were quantified by a budget model, which was developed based on the HMA inputs from atmospheric deposition and riverine discharge, sequestration to sediment, and interexchange among the BS's four subareas and the NYS. Statistical analyses of 76 deposition samples and 109 water concentration samples showed that atmospheric deposition was a main pathway of Pb entering the BS and NYS, whereas riverine discharge dominated the input of Cr, Cu, Zn, Cd, and As into the marine environment. Modeled results showed that the fractions of HMA in the water bodies compared with their total burdens were 86.6 ± 4.55% in the Liaodong Bay, 60.5 ± 10.5% in the Bohai Bay, 20.9 ± 9.05% in the Laizhou Bay, 95.1 ± 2.06% in the Central BS, and 94.3 ± 1.93% in the NYS. The lowest fraction of HMA in the Laizhou Bay was attributed to high sedimentation rates and higher suspended particulate matter concentrations due to inputs from the Yellow River. The modeled 1-, 10- and 100- year mass budgets indicated that the Liaodong Bay in the north of the BS was a sink of HMA, the Bohai Bay and Laizhou Bay in the west and south of the BS acted as sources, and the Central BS and NYS were a transition area for most HMA.
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Affiliation(s)
- Xiaoxue Liang
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Chongguo Tian
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China.
| | - Zheng Zong
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China; State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | | | - Wanyanhan Jiang
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China
| | - Yingjun Chen
- Key Laboratory of Cities' Mitigation and Adaptation to Climate Change in Shanghai (CMA), College of Environmental Science and Engineering, Tongji University, Shanghai, 200092, China
| | - Jianmin Ma
- Key Laboratory for Environmental Pollution Prediction and Control, College of Earth and Environmental Sciences, Lanzhou University, Lanzhou, 730000, China; Laboratory for Earth Surface Processes, College of Urban and Environmental Sciences, Peking University, Beijing, 100871, China.
| | - Yongming Luo
- Key Laboratory of Coastal Environmental Processes and Ecological Remediation, Yantai Institute of Coastal Zone Research, Chinese Academy of Sciences, Yantai, 264003, China
| | - Jun Li
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
| | - Gan Zhang
- State Key Laboratory of Organic Geochemistry, Guangzhou Institute of Geochemistry, Chinese Academy of Sciences, Guangzhou, 510640, China
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26
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Gao M, Cui J, Zhang L, He D, Yang J, Zhou F, Leng Q, Yang F. Metal wet deposition in the Three Gorges Reservoir (TGR) region of Southwest China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:32053-32065. [PMID: 30218331 DOI: 10.1007/s11356-018-3075-y] [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: 05/29/2018] [Accepted: 08/27/2018] [Indexed: 06/08/2023]
Abstract
Metal wet deposition has become an environmental concern because of its threats to soil or water quality and human health. This study was to collect rainfall waters in 2016 from seven sites, representing urban, town, rural, and wetland, within the Three Gorges Reservoir (TGR) region of Southwest China, determine the metal concentration and flux (Zn, Mn, Cu, As, Cd, Pb), and identify their possible sources. Results indicated that Zn was the most abundant metal with a concentration of 16.92 μg L-1 in fall and 19.91 μg L-1 in winter and flux of 4.71 mg m-2 in fall, while Cd was the least with a monthly mean concentration of 0.02-0.37 μg L-1. Among the seven sites, urban (FL) had the highest values of both concentrations of metals (Zn, Cu, Pb) and fluxes of metals (Mn, As), which significantly differed from the other sites. Component and redundancy analysis suggested that fossil fuel and biomass combustion be a potential metal source. Enrichment factors, box model, and potential ecological risk index showed that the TGR water quality could face a high risk due to wet metal deposition, especially Cd. Data could provide a valuable aid in mitigating metal pollution, developing the best watershed management practices, as well as safeguarding water quality and human health in the TGR region or other reservoir regions.
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Affiliation(s)
- Min Gao
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Jian Cui
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China.
- University of Chinese Academy of Sciences, Beijing, 101408, China.
| | - Liuyi Zhang
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- University of Chinese Academy of Sciences, Beijing, 101408, China
| | - Dongyi He
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - John Yang
- Department of Agriculture and Environmental Science, Lincoln University of Missouri, Jefferson City, MO, 65101, USA
| | - Fengwu Zhou
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Qiangmei Leng
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
| | - Fumo Yang
- Chongqing Institue of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing, 400714, China
- University of Chinese Academy of Sciences, Beijing, 101408, China
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27
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Chen Y, Song Q, Pan L, Jia M, Li C, Hu B, Wu G. Trace metals, organic carbon and nutrients in the Beidagang Wetland Nature Reserve, northern China. PLoS One 2018; 13:e0204812. [PMID: 30278089 PMCID: PMC6168145 DOI: 10.1371/journal.pone.0204812] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/01/2017] [Accepted: 09/14/2018] [Indexed: 11/18/2022] Open
Abstract
This study aimed to determine sediment contamination in the Beidagang Wetland Nature Reserve to describe atmospheric deposition of trace metals. We analyzed Hg, Cd, Pb, TOC, TN, TP, δ13C, and δ15N, and studied their variations in surface sediments and in the vertical profiles of sediment cores collected from the reserve. Evaluation of environmental trace metal contamination using sediment quality guidelines and geochemical background values indicated that the risk of metal pollution in the reserve sediments was relatively low. Concentrations of Hg, Cd, and Pb in the sediments were much lower than concentrations in sediment samples from Bohai Bay and polluted rivers in Tianjin. Enrichment factors indicate that samples are moderately contaminated with Hg, Cd, and Pb; whereas the geo-accumulation index results classify the sediments as uncontaminated to moderately contaminated with Hg, Cd, and Pb. The distribution patterns of trace metal concentrations in the three core samples were uniform. δ13C and δ15N were used to track the sources of TOC and TN in sediments. Results show that TOC mainly originated from the residue and decaying matter of aquatic plants (e.g., algae, reeds, and Typha), while TN was derived from soil N and elevated atmospheric N deposition. Because domestic and industrial waste is not discharged into the Beidagang Wetland Nature Reserve, trace metals found in sediments mainly originate from atmospheric deposition. The results provide baseline data for analysis of trace metal accumulation in Beijing-Tianjin-Hebei, a region subject to atmospheric deposition in northern China.
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Affiliation(s)
- Yueqin Chen
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
| | - Qiuyang Song
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
| | - Ling Pan
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
| | - Meiqing Jia
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
| | - Congwei Li
- College of Urban and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Beibei Hu
- College of Urban and Environmental Sciences, Tianjin Normal University, Tianjin, China
| | - Guanghong Wu
- Tianjin Key Laboratory of Water Resources and Environment, Tianjin Normal University, Tianjin, China
- * E-mail:
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28
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Kang X, Song J, Yuan H, Li X, Li N, Duan L. Historical trends of anthropogenic metals in sediments of Jiaozhou Bay over the last century. MARINE POLLUTION BULLETIN 2018; 135:176-182. [PMID: 30301028 DOI: 10.1016/j.marpolbul.2018.07.010] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/30/2018] [Revised: 06/26/2018] [Accepted: 07/03/2018] [Indexed: 06/08/2023]
Abstract
Reconstructing heavy metal historical trends are essential for better understanding anthropogenic impact on marine ecosystems. In this work, the ecological risk and sources of Cr, Mn, Ni, Cu, Zn, As, Cd, and Pb in Jiaozhou Bay were studied and the anthropogenic metal emissions was also quantified. The ecological risk was mainly caused by Cd, As and Cu, which presented an increasing trend with increased anthropogenic activities since the 1950s. The statistical analysis show that Cr, Mn, Ni, Cu and Zn were primarily from natural sources. Cadmium and Mn might originate from both natural and anthropogenic sources. Arsenic and Pb were sourced from agricultural activities and atmospheric precipitation, respectively. The anthropogenic flux of Cr, Mn, Ni, Cu, Zn, As, Cd and Pb were 138, 586, 63, 66, 161, 35, 0.31 and 44 mg/m2/a since the 1950s. Over 40.0% of Cu and As were quantified from anthropogenic emissions since the 1950s.
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Affiliation(s)
- Xuming Kang
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Key Laboratory of Testing and Evaluation for Aquatic Product Safety and Quality, Ministry of Agriculture, Yellow Sea Fisheries Research Institute, Chinese Academy of Fishery Sciences, Qingdao 266071, China
| | - Jinming Song
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Huamao Yuan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Xuegang Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Ning Li
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Liqin Duan
- CAS Key Laboratory of Marine Ecology and Environmental Sciences, Institute of Oceanology, Chinese Academy of Sciences, Qingdao 266071, China; Laboratory for Marine Ecology and Environmental Sciences, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China; University of Chinese Academy of Sciences, Beijing 100049, China
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29
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Wang C, Guo J, Liang S, Wang Y, Yang Y, Wang X. Long-term variations of the riverine input of potentially toxic dissolved elements and the impacts on their distribution in Jiaozhou Bay, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2018; 25:8800-8816. [PMID: 29327195 DOI: 10.1007/s11356-017-1118-4] [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: 07/31/2017] [Accepted: 12/20/2017] [Indexed: 06/07/2023]
Abstract
The concentrations of the potentially toxic dissolved elements (PTEs) As, Hg, Cr, Pb, Cd, and Cu in the main rivers into Jiaozhou Bay (JZB) during 1981-2006 were measured, and the impact of the fluvial PTE fluxes on their distributions in the bay was investigated. The overall average concentration in the rivers into JZB ranged from 8.8 to 39.6 μg L-1 for As, 10.1 to 632.6 ng L-1 for Hg, 4.1 to 3003.6 μg L-1 for Cr, 8.5 to 141.9 μg L-1 for Pb, 1.1 to 34.2 μg L-1 for Cd, and 13.2 to 1042.8 μg L-1 for Cu. The interannual average concentration variations of the PTEs in these rivers were enormous, with maximum differences of 41-21,680 times, while their relative seasonal changes were far smaller with maximum differences of 3-12 times. The total annual fluvial fluxes for As, Hg, and Cr into JZB exhibited the inverse "U" pattern, while those for Pb and Cd showed the "N" pattern. As a whole, the total annual Cu flux presented a growing tendency from 1998 to 2006. In general, the changing trends of the PTE concentrations in JZB were similar to those of their annual fluxes from the rivers, indicating a great impact of their fluvial fluxes on their distributions in JZB. The annual concentration of Cd in the bay almost remained constant and differed from the fluvial flux of Cd. The diversified pattern of the environmental Kuznets curve (EKC) represented China's approach to industrialization as "improving while developing."
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Affiliation(s)
- Changyou Wang
- School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing, 210044, China
- Jiangsu Research Center for Ocean Survey Technology, Nanjing University of Information Science and Technology, Nanjing, 210044, China
| | - Jinqiang Guo
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, 266100, China
- College of Chemistry and Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China
| | - Shengkang Liang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, 266100, China.
- College of Chemistry and Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China.
| | - Yunfei Wang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, 266100, China
- College of Chemistry and Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China
| | - Yanqun Yang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, 266100, China
- College of Chemistry and Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China
| | - Xiulin Wang
- Key Laboratory of Marine Chemistry Theory and Technology, Ministry of Education, Qingdao, 266100, China
- College of Chemistry and Chemical Engineering, Ocean University of China, 238 Songling Road, Qingdao, 266100, China
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30
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Wu Y, Zhang J, Ni Z, Liu S, Jiang Z, Huang X. Atmospheric deposition of trace elements to Daya Bay, South China Sea: Fluxes and sources. MARINE POLLUTION BULLETIN 2018; 127:672-683. [PMID: 29475711 DOI: 10.1016/j.marpolbul.2017.12.046] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2017] [Revised: 12/17/2017] [Accepted: 12/18/2017] [Indexed: 06/08/2023]
Abstract
This study was conducted from October 2015 to March 2017, with the aim of providing the first data on the fluxes and sources of wet and dry deposition of trace elements (TEs) in Daya Bay, South China Sea. Wet deposition flux of TEs was always preponderant and orders of magnitude higher than that of dry deposition owing to the high rainfall frequency in Daya Bay. The total deposition fluxes of TEs in the target area were higher than in most places worldwide, but at a moderate level within China. Wet deposition was highest in summer and lowest in winter, whereas dry deposition showed an opposite seasonal trend. The main sources of TEs in wet deposition were seasalt/dust, fossil fuel combustion, and crustal sources, and in dry deposition, they were dust/metallurgic, fossil fuel, petrochemical industry and crustal sources.
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Affiliation(s)
- Yunchao Wu
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China
| | - Jingping Zhang
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Zhixin Ni
- South China Sea Monitoring Center, State Oceanic Administration, Guangzhou 510300, China
| | - Songlin Liu
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Zhijian Jiang
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China
| | - Xiaoping Huang
- Key Laboratory of Tropical Marine Bio-resources and Ecology, South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou 510301, China; University of Chinese Academy of Sciences, Beijing 100049, China.
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31
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Wet Deposition of Trace Metals at a Typical Urban Site in Southwestern China: Fluxes, Sources and Contributions to Aquatic Environments. SUSTAINABILITY 2017. [DOI: 10.3390/su10010069] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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