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Liu H, Guo H, Pourret O, Wang Z. Anthropogenic impact of rare earth elements on groundwater and surface water in the watershed of the largest freshwater lake in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 949:175063. [PMID: 39067591 DOI: 10.1016/j.scitotenv.2024.175063] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/13/2024] [Revised: 05/29/2024] [Accepted: 07/24/2024] [Indexed: 07/30/2024]
Abstract
Limited knowledge exists regarding the potential risks associated with anthropogenic release of rare earth elements (REEs) in the environment. This study aimed to investigate REE signatures in the watershed Poyang Lake, the largest freshwater lake in China. Samples of surface water, wastewater, and groundwater were collected from five rivers discharging into the lake. Results revealed wastewater from wastewater treatment plants contained total REE concentrations from 231 to 904 μg/L, exceeding those found in surface water (0.4 to 1.3 μg/L) and groundwater (0.5 to 416 μg/L). Samples with elevated REE were found in Ca-Mg-Cl/SO4 type waters and exhibited an 18OD deviation from local meteoric water line. Wastewater exhibited a higher positive Gd anomaly compared to surface water and groundwater, attributed to anthropogenic input of Gd (Gdanth). The determined Gdanth concentration ranged from 0.04 to 0.21 μg/L, and from 0.06 to 0.37 μg/L, accounting for 4 % to 21 % and 49 % to 84 % of total Gd concentrations in groundwater and surface water, respectively. Gdanth concentration in wastewater (0.19 to 0.43 μg/L) remained constant in effluent after wastewater treatment. Surface water displayed relatively complex normalized REE patterns influenced by anthropogenic activities and natural processes (weathering and complexation), while groundwater exhibited heavy REEs enrichment, due to carbonate solution complexation. Additionally, Gdanth concentration showed a positive correlation with ΣREE, Pb, Ni, and Co concentrations in groundwater, indicating a good pollution tracing potential. Health risk assessment using the hazard quotient (HQ) suggested higher HQGd values in groundwater compared to surface water. Residents in the eastern part of Poyang Lake were found to face higher risks associated with Gd in groundwater compared to the western part, with infants and children at greater risk than adult males and females. These findings offer valuable insights into environmental behavior and health risks of REEs in aquatic systems impacted by human activities.
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Affiliation(s)
- Haiyan Liu
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, PR China; Jiangxi Provincial Key Laboratory of Genesis and Remediation of Groundwater Pollution and School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, PR China.
| | - Huaming Guo
- MWR Key Laboratory of Groundwater Conservation and School of Water Resources and Environment, China University of Geosciences (Beijing), Beijing 100083, PR China
| | | | - Zhen Wang
- State Key Laboratory of Nuclear Resources and Environment, East China University of Technology, Nanchang 330013, PR China; Jiangxi Provincial Key Laboratory of Genesis and Remediation of Groundwater Pollution and School of Water Resources and Environmental Engineering, East China University of Technology, Nanchang 330013, PR China
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2
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Chao X, Liu J, Ma Z, Tu Y, Lev B. Security assessment and diagnosis for industrial water resources using TODIMSort considering Best-Worst Method with double hierarchy hesitant fuzzy linguistic term set. ENVIRONMENTAL RESEARCH 2024; 259:119539. [PMID: 38971362 DOI: 10.1016/j.envres.2024.119539] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/25/2024] [Revised: 06/07/2024] [Accepted: 06/30/2024] [Indexed: 07/08/2024]
Abstract
Motivated by the driving force to address global water scarcity, industrial water resources, as the second largest consumption of water resources, its security assessment plays a crucial role in improving the current situation. Hence, this paper proposes a novel methodology to conduct the industrial water resources security (IWRS) assessment. Firstly, a more targeted assessment system based on the framework of the Pressure-State-Response (P-S-R) on IWRS is established. Then, enhanced with a double hierarchy hesitant fuzzy linguistic term set (DHHFLTS), the Best-Worst Method (BWM) now determines subjective weights through DHHFLTS-BWM (DF-BWM). By introducing the Criteria Importance Through Intercriteria Correlation (CRITIC) method, which considers the indicator interactions, objective weights are obtained to modify the subjective weights. Furthermore, the global dominance of all alternatives is calculated by a TODIMSort method and grading them. Moreover, 16 cities in Anhui Province are taken as examples to assess IWRS in the decade from 2011 to 2020. Comparative analysis with original BWM, time series analysis, sensitivity analysis on loss attenuation coefficient, coupling and coordination analysis and obstacle analysis on all indicators are conducted to verify the rationality, effectiveness, and stability of the proposed assessment methodology. Simultaneously, explore the existing issues within IWRS. It can be seen from the results that the performance of Lu'an and Huainan cities is relatively better, while Ma'anshan city shows relatively poorer performance. In addition, per capita water resources and wastewater treatment facilities have a significant impact on the IWRS. Finally, some management suggestions are proposed to enhance the scientific and effective management of industrial water resources and ensure their sustainable utilization.
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Affiliation(s)
- Xudong Chao
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
| | - Jun Liu
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
| | - Zhuang Ma
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China
| | - Yan Tu
- School of Safety Science and Emergency Management, Wuhan University of Technology, Wuhan 430070, China.
| | - Benjamin Lev
- Decision Sciences Department, LeBow College of Business, Drexel University, Philadelphia, PA 19104, USA
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Zhang Q, Li Y, Kong Q, Huang H. Coupling coordination analysis and key factors between urbanization and water resources in ecologically fragile areas: a case study of the Yellow River Basin, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024; 31:10818-10837. [PMID: 38214858 DOI: 10.1007/s11356-024-31900-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/02/2023] [Accepted: 01/03/2024] [Indexed: 01/13/2024]
Abstract
The rapid urbanization (UR) and industrialization in the Yellow River Basin (YRB) have resulted in a significant scarcity of water resources (WRs), highlighting the need to investigate the complex and dynamic relationship between UR and WR for sustainable urban development in ecologically fragile areas. This study utilizes the coupling coordination degree model (CCDM), spatial correlation analysis, and Tobit model to examine the coupling coordination relationship, spatial effects, and key factors between UR and WR in sixty prefecture-level cities within the YRB. The empirical findings reveal that the development of the WR subsystem lags behind the UR subsystem and that there is a significant spatial disequilibrium in the CCD between UR and WR. Specifically, the high-high clusters are located in the northwest and east, while the low-low clusters are spread in the southwest. Furthermore, investment in science and technology and economic development have a positive impact on the CCD, while government capacity, urban construction, and industrial structure have a negative impact. These results can provide valuable guidance for decision-making in urban planning for ecologically fragile areas facing water supply constraints.
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Affiliation(s)
- Qiufeng Zhang
- College of Management Science, Chengdu University of Technology, Chengdu, 610059, Sichuan, China
| | - Yue Li
- College of Management Science, Chengdu University of Technology, Chengdu, 610059, Sichuan, China
| | - Qingshen Kong
- College of Business, Chengdu University of Technology, Chengdu, 610059, Sichuan, China
| | - Huan Huang
- College of Business, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
- Digital Hu Huanyong Line Research Institute, Chengdu University of Technology, Chengdu, 610059, Sichuan, China.
- Yangtze River Economic Belt Research Institution of RUC, Yibin, 644000, Sichuan, China.
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4
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Hughes AC, Wang S. Realizing ecological civilization. AMBIO 2023; 52:1879-1881. [PMID: 37934357 PMCID: PMC10654275 DOI: 10.1007/s13280-023-01952-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/08/2023]
Affiliation(s)
- Alice C Hughes
- School of Biological Sciences, University of Hong Kong, Pokfulam, Hong Kong.
| | - Shuai Wang
- State Key Laboratory of Earth Surface Processes and Resource Ecology, Faculty of Geographical Science, Beijing Normal University, Beijing, 100875, People's Republic of China
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Shu Y, Wang Q, Hong P, Ruan Y, Lin H, Xu J, Zhang H, Deng S, Wu H, Chen L, Leung KMY. Legacy and Emerging Per- and Polyfluoroalkyl Substances Surveillance in Bufo gargarizans from Inlet Watersheds of Chaohu Lake, China: Tissue Distribution and Bioaccumulation Potential. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2023; 57:13148-13160. [PMID: 37565447 DOI: 10.1021/acs.est.3c02660] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/12/2023]
Abstract
Amphibians are sensitive biomonitors of environmental pollutants but reports regarding per- and polyfluoroalkyl substances (PFAS), a class of synthetic organofluorine substances, are limited. In this study, samples of water and Chinese toads (Bufo gargarizans) were collected in Chaohu Lake, China. Tissue-specific bioaccumulation characteristics of 39 PFAS, including 19 perfluoroalkyl acids (PFAAs), 8 emerging PFAS, and 12 PFAA precursors, were investigated, and the levels of some biochemical indicators were determined. The highest PFAS concentrations were found in the liver [215.97 ng/g dry weight (dw)] of Chinese toads, followed by gonads (135.42 ng/g dw) and intestine (114.08 ng/g dw). A similar tissue distribution profile was found between legacy and emerging PFAS in the toads, and the occurrence of two emerging PFAS, 2,3,3,3-tetrafluoro-2-propanoate (HFPO-DA) and 6:2 hydrogen-substituted polyfluorooctane ether sulfonate (6:2 H-PFESA) in the amphibians were for the first time reported. Field-based bioaccumulation factors of HFPO-DA were higher than perfluorooctanoic acid, indicating the higher bioaccumulation potential of this emerging PFAS than the legacy C8 compound. Males had significantly higher gonad PFAS levels than females while estradiol levels in gonads increased with increasing concentrations of certain PFAS (e.g., 6:2 H-PFESA), implying that PFAS may trigger estrogenic effects in the toads, especially for male toads.
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Affiliation(s)
- Yilin Shu
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Qi Wang
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
| | - Pei Hong
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
| | - Yuefei Ruan
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
| | - Huiju Lin
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
| | - Jing Xu
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
| | - Huijuan Zhang
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
| | - Shuaitao Deng
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
- Shanghai Wildlife and Protected Natural Areas Research Center, Shanghai 200336, China
| | - Hailong Wu
- Collaborative Innovation Center of Recovery and Reconstruction of Degraded Ecosystem in Wanjiang Basin Co-founded by Anhui Province and Ministry of Education, Provincial Key Laboratory of Biotic Environment and Ecological Safety in Anhui, School of Ecology and Environment, Anhui Normal University, Wuhu 241002, China
| | - Lianguo Chen
- State Key Laboratory of Freshwater Ecology and Biotechnology, Institute of Hydrobiology, Chinese Academy of Sciences, Wuhan 430072, China
| | - Kenneth Mei Yee Leung
- State Key Laboratory of Marine Pollution and Department of Chemistry, City University of Hong Kong, Tat Chee Avenue, Kowloon, Hong Kong 999077, China
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6
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Mu L, Tan Z, Luo C, Qiao N. Exploring the contribution of the river chief system on controlling industrial water pollution under quasi-natural experimental conditions. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:89415-89429. [PMID: 37454005 DOI: 10.1007/s11356-023-28476-y] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/18/2023] [Accepted: 06/23/2023] [Indexed: 07/18/2023]
Abstract
The innovative environmental system known as the river chief system (RCS) was developed in China to limit water pollution by appointing provincial, prefectural, county, and township officials as "river chiefs" as guardians of every river under their control. Our research project developed a quasi-natural experiment to investigate if the RCS effectively reduces the intensity of industrial water pollution. A multi-period difference-in-difference (DID) method was employed in the experiment with a total of 3808 samples from 272 prefecture-level cities. The samples gathered represented the years from 2007 to 2020. Our results demonstrated that the southern region has far more industrial water contamination than other locations, and the intensity of industrial sewage discharge decreased by 10.25% in pilot cities following the implementation of the RCS compared with what we observed in non-pilot cities. Furthermore, according to the mechanism analysis we used, cities that increased investment in technical advancement and modernized industrial structures may also account for this decreasing trend. Additionally, the results of geographical heterogeneity demonstrate that the RCS's influence on curbing industrial water pollution is greater in cities with a higher intensity of environmental regulation and higher fiscal balance pressure than in locations with low environmental regulation and low fiscal balance pressure. In summary, the Chinese government needs to continue to strengthen the RCS's implementation; this can be done by adjusting to local circumstances as needed and by carrying out the policy accurately and effectively across the country. Our research sheds light on how to prevent water pollution in China and in other countries and supports the positive effects and effectiveness of RCS.
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Affiliation(s)
- Lan Mu
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Xi'an, 710119, Shaanxi, China
| | - Zongjia Tan
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Xi'an, 710119, Shaanxi, China
| | - Chunxia Luo
- Northwest Institute of Historical Environment and Socio-Economic Development, Shaanxi Normal University, No. 620, West Chang'an Avenue, Xi'an, 710119, Shaanxi, China
| | - Na Qiao
- Center for Experimental Economics in Education, Shaanxi Normal University, No. 620, West Chang'an Avenue, Xi'an, 710119, Shaanxi, China.
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7
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Jiang C, Li Y, Li C, Zheng L, Zheng L. Distribution, source and behavior of rare earth elements in surface water and sediments in a subtropical freshwater lake influenced by human activities. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2022; 313:120153. [PMID: 36113641 DOI: 10.1016/j.envpol.2022.120153] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/26/2022] [Accepted: 09/06/2022] [Indexed: 06/15/2023]
Abstract
As tracers, rare earth elements (REEs) can reflect the influence of human activities on the environmental changes in aquatic systems. To reveal the geochemical behavior of REEs in a water-sediment system influenced by human activities, the contents of REEs in the surface water and sediment in the Chaohu Lake Basin were measured by inductively coupled plasma mass spectrometry (ICP-MS). The results show that the ΣREE contents in the surface water are 0.10-0.850 μg L-1, the ΣREE contents in the sediments are 71.14-210.01 μg g-1, and the average contents are 0.24 μg L-1 and 126.72 μg g-1, respectively. Almost all water and sediment samples have obvious light REE (LREE) enrichment, which is the result of the input of LREE-rich substances released by natural processes and human activities (industrial and agricultural production). Under the alkaline water quality conditions of Chaohu Lake, REEs (especially LREEs) are easily removed from water by adsorption/coprecipitation reactions with suspended colloidal particles, which leads to the enrichment of LREEs in sediments. The Ce anomaly of the water-sediment system is related to the oxidation environment, while the Eu anomaly is related to the plagioclase crystallization. Significant Gd anomalies was observed in the downstream of rivers flowing through urban areas, which was related to the anthropogenic Gd wastewater discharged by hospitals. The ∑REE-δEu and provenance index (PI) discrimination results are consistent, indicating that the sediments in Chaohu Lake mainly come from rivers flowing through the southwest farmland. Furthermore, the spatial distribution of REEs shows that these tributaries are significantly affected by agricultural activities. The distribution and accumulation of REEs in Chaohu Lake are the result of the interaction of natural and human processes. The results can provide a scientific reference for the distribution and environmental behavior of REEs in aquatic environments disturbed by human beings.
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Affiliation(s)
- Chunlu Jiang
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China.
| | - Yanhao Li
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China
| | - Chang Li
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China
| | - Lanlan Zheng
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China
| | - Liugen Zheng
- School of Resources and Environmental Engineering, Anhui University, Anhui Province Engineering Laboratory for Mine Ecological Remediation, Hefei, 230601, Anhui, China
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8
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Duan T, Feng J, Chang X, Li Y. Watershed health assessment using the coupled integrated multistatistic analyses and PSIR framework. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 847:157523. [PMID: 35905965 DOI: 10.1016/j.scitotenv.2022.157523] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/11/2022] [Revised: 07/14/2022] [Accepted: 07/16/2022] [Indexed: 06/15/2023]
Abstract
Quantitatively assessing watershed health under anthropogenic activities and management responses is important for the scientific planning and management of watersheds. The current research on watershed health assessments insufficiently reflects watershed scale information from different dimensions, which leads to the incomplete understanding of watersheds and thus the lack of systematic management. This study investigated the health status in the Chaohu Lake watershed (CLW) based on monthly sampling data at 46 river sites in 2018. Watershed health assessment comprehensively considered four dimensions including socioeconomic and natural pressures, nonpoint pollution export, river water quality and management responses with the pressure-state-impact-response (PSIR) framework. Canonical correlation analysis (CCA) and variance partitioning analysis (VPA) were integrated to further quantify the inter-relationships among the variables of each PSIR index. An obstacle degree model was applied to examine the factors of mainly affecting the status of watershed health. The results showed that phosphorus, nitrogen and sediment exports of CLW increased more and river water quality in CLW worsened due to socioeconomic and natural pressures. Water quality improvement effectively responds to increasing woodland and grassland. Compared with natural factors, phosphorus, nitrogen and sediment exports had closer relationships with the pressures from socioeconomic activities. Moreover, socioeconomic pressures explained more changes in phosphorus and nitrogen exports, while natural factors explained relatively more changes in sediment exports. Phosphorus, nitrogen and sediment exports and woodland and grassland coverage explained <35 % of the variation in river water quality. Additionally, the obstacle degrees of pressures and phosphorus, nitrogen and sediment exports were lower, and the obstacle degrees of river water quality and woodland and grassland coverage were higher in urban sub-watersheds, which was the opposite in agricultural sub-watersheds. This research provides a new evaluation framework of watershed health and its obstacle factors, which is crucial to improve watershed health.
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Affiliation(s)
- Tingting Duan
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China
| | - Jiashen Feng
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China
| | - Xuan Chang
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China
| | - Yingxia Li
- State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, No. 19, Xinjiekouwai Street, Haidian District, Beijing 100875, China.
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Chen Y, Wang Y, Ding T, Wang K, Wu H. Water footprint and virtual water trade analysis in water-rich basins: Case of the Chaohu Lake Basin in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 843:156906. [PMID: 35753485 DOI: 10.1016/j.scitotenv.2022.156906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/12/2022] [Revised: 06/19/2022] [Accepted: 06/19/2022] [Indexed: 06/15/2023]
Abstract
Water footprints and virtual water are widely used as essential tools for water use and conservation analysis of basins worldwide. Despite the importance of water-rich basins as the main force for water-saving, water use analysis has been mainly for water-scarce basins rather than water-rich basins in the existing literature. To fill the gap, in this paper, we investigate the water footprint and virtual water trade in a water-rich basin, namely the Chaohu Lake Basin in China, from 2007 to 2017 using input-output analysis. The results show that: (1) Water use efficiency in the Chaohu Lake Basin was significantly improved. The overall trend of the water intensity was declining, decreasing by 10.21 % in 2017 versus 2012; (2) The internal and external water footprints showed an upward trend, and the growth rate of total water footprint was 36.66 %; (3) The basin was a net virtual water exporter, but the net export flows of virtual water has decreased significantly. The virtual water net export flow decreased by 0.12 billion m3 in 2017 versus 2012; (4) Water resources in the basin were mainly used locally, and its supply to other provinces was minimal. Compared with some water-scarce basins such as the Heihe River Basin and Haihe River Basin, the Chaohu Lake Basin shows significant gaps in the virtual water export flow per capita and behaves differently in the proportion of virtual water transfer. Based on the above findings, we conclude with some guidance and implications for local governments and policymakers.
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Affiliation(s)
- Ya Chen
- School of Economics and Center for Industrial Information and Economy, Hefei University of Technology, Hefei, Anhui 230601, PR China.
| | - Yan Wang
- School of Economics, Hefei University of Technology, Hefei, Anhui 230601, PR China
| | - Tao Ding
- School of Economics, Hefei University of Technology, Hefei, Anhui 230601, PR China
| | - Ke Wang
- Center for Energy and Environmental Policy Research, Beijing Institute of Technology, Beijing 100081, PR China; School of Management and Economics, Beijing Institute of Technology, Beijing 100081, PR China; Sustainable Development Research Institute for Economy and Society of Beijing, Beijing 100081, PR China; Beijing Key Lab of Energy Economics and Environmental Management, Beijing 100081, PR China.
| | - Huaqing Wu
- School of Economics and Center for Industrial Information and Economy, Hefei University of Technology, Hefei, Anhui 230601, PR China.
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The Spatiotemporal Evolution of Ecological Security in Border Areas: A Case Study of Southwest China. LAND 2022. [DOI: 10.3390/land11060892] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
Fewer studies on ecological security (ES) in border areas limit the synergistic development of border areas in the context of rapid globalization. The study of ES in border areas of southwest China can enrich the evaluation methods, summarize the knowledge related to ES in border areas, and provide references for similar areas in the world. Therefore, twenty-five international border counties in Yunnan Province were selected to establish a system to evaluate ES; an entropy weight TOPSIS model was used to evaluate the changes in ES from 2004 to 2019. Then, an obstacle degree model was used to diagnose the factors affecting ES. The state of ES was predicted by a gray prediction model (GM) (1,1) in 2025 and 2030. The results show that an improving ES situation presented a spatial distribution pattern of high to low from the southwest to the west and east. Various factors, including fixed assets investment, per-capita fiscal revenue, per-capita GDP, food production, and water regulation, created obstacles to a desirable ES in the study area. Although the ES of border areas will maintain an upward trend under the existing development model, the number of counties that will reach a secure state of ES in 2025 and 2030 is predicted to only be 1 and 2, respectively.
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Li J, Liu D, Cai M. Water pollution and administrative division adjustments: A quasi-natural experiment in Chaohu Lake, China. PLoS One 2022; 17:e0257067. [PMID: 35358184 PMCID: PMC8970495 DOI: 10.1371/journal.pone.0257067] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2021] [Accepted: 03/02/2022] [Indexed: 11/19/2022] Open
Abstract
Administrative division adjustments, such as agglomerations, upgrading, and revocation, introduce a series of uncertain impacts on the social and economic development in administrative regions. Previous studies have focused more on the economic effects of administrative division adjustments, but in this paper, we also consider the environmental effects of such adjustments. In 2011, with the approval of the State Council, the prefecture-level Chaohu city was officially revoked, resulting in a county-level Chaohu city. One district and four counties under the jurisdiction of the original Chaohu city were placed under the jurisdiction of Hefei, Wuhu, and Ma’anshan. This adjustment made Chaohu Lake an inner lake of Hefei city. The administrative division adjustment of Chaohu Lake, China, is used as a quasi-natural experiment to explore the influence of such an adjustment on pollution control. The synthetic control method (SCM) is used in this study to evaluate the effect of the administrative division adjustment on the water quality indicators of Chaohu Lake. The following conclusions are drawn. First, after the administrative division adjustment, some water quality indicators, such as ammonia nitrogen, improved; however, other major pollution indicators, such as chemical oxygen demand (COD) and dissolved oxygen (DO), worsened to varying degrees. Second, the results reveal that improper development ideas, excessive industrial expansion, and the shift in economic growth and environmental goals were problems after the adjustment. Returning to the original intention of the administrative division adjustment, rationalizing the Chaohu Lake management system and designing a sound and feasible accountability mechanism are fundamental measures for reducing pollution.
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Affiliation(s)
- Jing Li
- School of Economics, Hefei University of Technology, Hefei, Anhui Province, People’s Republic of China
| | - Di Liu
- School of Economics, Hefei University of Technology, Hefei, Anhui Province, People’s Republic of China
| | - Mengyuan Cai
- Economics Division, School of Social Sciences, Nanyang Technological University, Singapore, Singapore
- * E-mail:
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12
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Water Quality Characteristics and Source Analysis of Pollutants in the Maotiao River Basin (SW China). WATER 2022. [DOI: 10.3390/w14030301] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/25/2023]
Abstract
Rivers are an important mediator between human activities and the natural environment. They provide multiple functions, including irrigation, transportation, food supply, recreation, and water supply. Therefore, evaluations of water quality and pollution sources are of great significance for ecological restoration and management of rivers. In this study, the improved “vušekriterijumska optimizacija i kompromisno rješenje” (VIKOR in Serbian; in English: Multicriteria Optimization and Compromise Solution), and a geodetector were used to analyze the water quality characteristics and pollution sources of the Maotiao River Basin (Gizhou province, SW China). The results showed that the water quality of the Maotiao River Basin deteriorated significantly during the summer drought period, as was evident in the reservoirs and lakes. It improved in the wet season (i.e., during the summer period) due to runoff dilution. Water quality decreased along the river’s course, from upstream to downstream sections. The results of the geographic detector analysis showed that agricultural areas were the primary factor affecting the spatial distribution of water quality in the river basin. In July, August, and November 2020, the influence of agricultural land was 0.72, 0.60, or 0.80, respectively, and the interactions among urban, industrial, agricultural, and forested areas explained 99.2%, 83.2%, or 99.9% of the spatial differentiation of water quality, respectively. Due to the influence of spatial scale, settlements have a small influence on the spatial distribution of water quality. Their impact factors were 0.38, −0.24, and −0.05, respectively. Notably, the negative relationship of water quality and forested areas reflects that topography, types of landscapes, and soil thickness have considerable influences on the Maotiao River Basin’s water quality. Based on the findings, we infer that good farmland water conservancy projects and comprehensive management of different types of landscapes, such as forests, agriculture, and urban area and water bodies, are of great significance for improving water quality.
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Ecological Safety Assessment and Analysis of Regional Spatiotemporal Differences Based on Earth Observation Satellite Data in Support of SDGs: The Case of the Huaihe River Basin. REMOTE SENSING 2021. [DOI: 10.3390/rs13193942] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Terrestrial ecosystems provide a variety of benefits for human life and production, and are a key link for achieving sustainable development goals (SDGs). The basin ecosystem is one type of terrestrial ecosystem. Ecological security (ES) assessments are an important component of the overall strategy to achieve regional sustainable development. The Huaihe River Basin (HRB) has the common characteristics of most basins, such as high population density, a rapidly developing economy, and many environmental problems. This study constructed an ES evaluation system by applying a pressure-state-response framework as an assessment method for the sustainable development of basins. Taking the HRB as an example, this study determined the ES status of the region from 2001 to 2019 and analyzed crucial factors for any variation observed by combining remote sensing and climate data, relevant policies, and spatial information technology. The results highlight the importance of reserves and the negative impact of urban expansion on ES. Additionally, the enactment of policies had a positive impact on ES, whereas precipitation had a negative effect on ES in most areas of the HRB. Based on these results, the government should strengthen the protection of forests, grasslands, and wetlands and improve water conservation facilities. This study provides guidance for the subsequent economic development, environmental protection, and the achievements of SDG 15 in the HRB.
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Wen J, Hou K, Li H, Zhang Y, He D, Mei R. Study on the spatial-temporal differences and evolution of ecological security in the typical area of the Loess Plateau. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:23521-23533. [PMID: 33452640 DOI: 10.1007/s11356-021-12372-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/23/2020] [Accepted: 01/04/2021] [Indexed: 06/12/2023]
Abstract
The development and utilization of energy in the Loess Plateau has caused a wide range of ecological security issues, and Yan'an has become a typical area for ecological security research on the Loess Plateau. Ecological security evaluation research can provide data support and scientific reference value for the sustainable development, which is of great significance to the overall social and economic development of the region. In this study, the pressure-state-response (PSR) model was used to establish the evaluation index system in the evaluation of ecological security in Yan'an region (YAR), then the fuzzy analytic hierarchy process (FAHP) was used to determine the internal index weight of each element, and finally the ecological security index value (ESI) was calculated. The GIS technology was used to simulate the distribution map of ecological security in YAR and then analyzed the temporal and spatial changes and evolution of ecological security in YAR. The results showed that from 1997 to 2016, the ecological security in the western part of Luochuan County and the eastern part of Yanchuan County was still very high, while the ecological security index was relatively low in the southern part of Huanglong County. The ecological security index of Baota District had increased significantly, from 1.85 in 1997 to 2.76 in 2016. The proportion of III and IV ecological security regions had increased significantly, and the ecological security of the entire YAR was generally in a good situation. This study could clarify the temporal and spatial characteristics of ecological security and provided some reference for the study of ecological security evolution in typical regions of the Loess Plateau.
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Affiliation(s)
- Jiafeng Wen
- School of Environmental and Chemical Engineering, Xi'an polytechnic University, Xi'an, Shaanxi, China
| | - Kang Hou
- School of Environmental and Chemical Engineering, Xi'an polytechnic University, Xi'an, Shaanxi, China.
| | - Haihong Li
- School of Environmental and Chemical Engineering, Xi'an polytechnic University, Xi'an, Shaanxi, China
| | - Yue Zhang
- School of Architecture, Chang'an University, Xi'an, Shaanxi, China
| | - Dan He
- School of Environmental and Chemical Engineering, Xi'an polytechnic University, Xi'an, Shaanxi, China
| | - Ruochen Mei
- School of Environmental and Chemical Engineering, Xi'an polytechnic University, Xi'an, Shaanxi, China
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Wang Y, Wu C, Wang F, Sun Q, Wang X, Guo S. Comprehensive evaluation and prediction of tourism ecological security in droughty area national parks-a case study of Qilian Mountain of Zhangye section, China. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2021; 28:16816-16829. [PMID: 33394393 DOI: 10.1007/s11356-020-12021-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 12/08/2020] [Indexed: 06/12/2023]
Abstract
Tourism activities have brought overexploitation of natural ecotourism resources and ecological pressure challenge though it exactly contributes to the economic prosperity of a region. Research on tourism ecological safety is of great importance for tourist destinations to balance the relationship between environmental protection and tourism development. Qilian Mountains National Park (QMNP) has a prominent ecological status and is a vital ecological barrier in the northwest of China, which attracts large numbers of tourists every year for its rich tourism resources in the Zhangye (ZY) region. However, there is still a lack of systematic research on the environmental impact of tourism activities and on achieving sustainable development of ecotourism in national parks. We took QMNP-ZY as the study object, establishing the system of indicators based on the PSR model for the comprehensive evaluation of tourism ecological safety and the diagnosis of the main obstacles. Moreover, the autoregressive integrated moving average (ARIMA) model was introduced to forecast the evolutionary trends of tourism ecological security in QMNP-ZY. The results showed that (1) The tourism ecological security composite values of the QMNP-ZY exhibited a "U"-type evolution of "first fall-then rise" feature, and the pressure layer gradually became the dominant factor. (2) For the main barrier factors, there had been a shift from response factors. (3)The output of the ARIMA model demonstrated that the level of tourism ecological security would rise in a short period and then decline a few years later. Especially, the contribution degree of economic to the tourism eco-security development will weaken with the region's economy growing.
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Affiliation(s)
- Yi Wang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou, China
- Fujian Province Key Laboratory of Pollution Control and Resource Recycling, Fujian Normal University, Fuzhou, China
| | - Chunshan Wu
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou, China
- Fujian Province Key Laboratory of Pollution Control and Resource Recycling, Fujian Normal University, Fuzhou, China
| | - Feifeng Wang
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou, China.
- Fujian Province Key Laboratory of Pollution Control and Resource Recycling, Fujian Normal University, Fuzhou, China.
| | - Qiyuan Sun
- College of Environmental Science and Engineering, Fujian Normal University, Fuzhou, China.
- Fujian Province Key Laboratory of Pollution Control and Resource Recycling, Fujian Normal University, Fuzhou, China.
| | - Xuefu Wang
- Zhangye Sub-Bureau of Qilian Mountains National Park Administration, Zhangye, Gansu, China
- Qilian Mountains National Nature Reserve Administration, Zhangye, Gansu, China
| | - Shengxiang Guo
- Zhangye Sub-Bureau of Qilian Mountains National Park Administration, Zhangye, Gansu, China
- Qilian Mountains National Nature Reserve Administration, Zhangye, Gansu, China
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Public Participation of the River Chief System in China: Current Trends, Problems, and Perspectives. WATER 2020. [DOI: 10.3390/w12123496] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The River Chief System (RCS) is an effective measure for China to solve complex water problems and maintain the health of rivers and lakes. It is an institutional innovation to improve the water governance system and ensure national water security. Guiding and encouraging the public to participate in the construction of the RCS can promote the improvement of the level of social governance. The RCS is an effective supplement and supervision to the performance of the river chief and related departments, which can effectively promote the transformation of the RCS from nominal to practical and efficient. This study summarizes the innovative models and practical effects of, and public participation in, the RCS, analyzes the prominent problems, and proposes some measures to maximize the influence of public participation. The study provides insights on how to ensure the long-term operation of the RCS, a reference for countries around the world as a suitable solution for the sustainable management of water environments.
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