Evaluation and source identification of water pollution
Maintaining good surface water quality is essential for protecting ecosystems and human health. Henan Province has long faced challenges related to water scarcity and severe water pollution. To support effective management of water pollution in Henan Province and provide insights for regional water...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2025-01-01
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| Series: | Ecotoxicology and Environmental Safety |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S0147651324015756 |
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| author | Huaibin Wei Haojie Qiu Jing Liu Wen Li Chenchen Zhao Hanfei Xu |
| author_facet | Huaibin Wei Haojie Qiu Jing Liu Wen Li Chenchen Zhao Hanfei Xu |
| author_sort | Huaibin Wei |
| collection | DOAJ |
| description | Maintaining good surface water quality is essential for protecting ecosystems and human health. Henan Province has long faced challenges related to water scarcity and severe water pollution. To support effective management of water pollution in Henan Province and provide insights for regional water pollution management, we collected extensive water quality monitoring data and applied spatial autocorrelation along with random forest to analyze the sources of heavily polluted areas. Results indicate that the spatial pollution pattern of surface water quality in Henan Province can be generally classified as insignificant pollution in the north, heavy pollution in the central regions, and light pollution in the south. Heavily polluted areas are mainly located in Zhengzhou, Luoyang, and Kaifeng. Key indicators affecting water quality in these regions are chemical oxygen demand (CODMn), dissolved oxygen (DO), ammonia nitrogen (NH3-N), and total phosphorus (TP), with urban sewage and industrial wastewater identified as the main causes of deterioration. These results not only provide a scientific basis for the systematic management of surface water quality pollution in Henan Province but also provide a reference for regional water pollution management. |
| format | Article |
| id | doaj-art-b95c6d58c43a41d5a0e092e60965e4ca |
| institution | Kabale University |
| issn | 0147-6513 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecotoxicology and Environmental Safety |
| spelling | doaj-art-b95c6d58c43a41d5a0e092e60965e4ca2025-01-23T05:25:47ZengElsevierEcotoxicology and Environmental Safety0147-65132025-01-01289117499Evaluation and source identification of water pollutionHuaibin Wei0Haojie Qiu1Jing Liu2Wen Li3Chenchen Zhao4Hanfei Xu5School of Management and Economics, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaCollege of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, China; School of Geography, Earth and Environmental Sciences, University of Birmingham, Birmingham B15 2TT, United Kingdom; Corresponding author at: College of Water Resources, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Water Conservancy, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaSchool of Environmental and Municipal Engineering, North China University of Water Resources and Electric Power, Zhengzhou 450046, ChinaMaintaining good surface water quality is essential for protecting ecosystems and human health. Henan Province has long faced challenges related to water scarcity and severe water pollution. To support effective management of water pollution in Henan Province and provide insights for regional water pollution management, we collected extensive water quality monitoring data and applied spatial autocorrelation along with random forest to analyze the sources of heavily polluted areas. Results indicate that the spatial pollution pattern of surface water quality in Henan Province can be generally classified as insignificant pollution in the north, heavy pollution in the central regions, and light pollution in the south. Heavily polluted areas are mainly located in Zhengzhou, Luoyang, and Kaifeng. Key indicators affecting water quality in these regions are chemical oxygen demand (CODMn), dissolved oxygen (DO), ammonia nitrogen (NH3-N), and total phosphorus (TP), with urban sewage and industrial wastewater identified as the main causes of deterioration. These results not only provide a scientific basis for the systematic management of surface water quality pollution in Henan Province but also provide a reference for regional water pollution management.http://www.sciencedirect.com/science/article/pii/S0147651324015756Water qualitySpatial clustering patternPollution areas identificationSource analysisRandom forest |
| spellingShingle | Huaibin Wei Haojie Qiu Jing Liu Wen Li Chenchen Zhao Hanfei Xu Evaluation and source identification of water pollution Ecotoxicology and Environmental Safety Water quality Spatial clustering pattern Pollution areas identification Source analysis Random forest |
| title | Evaluation and source identification of water pollution |
| title_full | Evaluation and source identification of water pollution |
| title_fullStr | Evaluation and source identification of water pollution |
| title_full_unstemmed | Evaluation and source identification of water pollution |
| title_short | Evaluation and source identification of water pollution |
| title_sort | evaluation and source identification of water pollution |
| topic | Water quality Spatial clustering pattern Pollution areas identification Source analysis Random forest |
| url | http://www.sciencedirect.com/science/article/pii/S0147651324015756 |
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