Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach
Study region: The Yangtze River within the Nantong region, Jiangsu Province, China Study focus: This study investigates the spatiotemporal dynamics of water quality in the Nantong section of the Yangtze River Basin. It focuses on developing a novel water quality index model called WQImin-w3, which i...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-02-01
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| Series: | Journal of Hydrology: Regional Studies |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214581824004555 |
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| author | Weifeng Xiao Bozhi Ren Bai Wu Xinping Deng |
| author_facet | Weifeng Xiao Bozhi Ren Bai Wu Xinping Deng |
| author_sort | Weifeng Xiao |
| collection | DOAJ |
| description | Study region: The Yangtze River within the Nantong region, Jiangsu Province, China Study focus: This study investigates the spatiotemporal dynamics of water quality in the Nantong section of the Yangtze River Basin. It focuses on developing a novel water quality index model called WQImin-w3, which integrates five critical parameters: fecal coliforms (FC), turbidity (NTU), chlorides (Cl-), ammonia nitrogen (NH4-N), and dissolved oxygen (DO). Notably, fecal coliforms (FC) emerge as the most impactful parameter in the water quality index (WQI). The aim is to provide a streamlined yet comprehensive assessment of water quality in this region. New hydrological insights for the region: The WQImin-w3 model demonstrates superior performance in accurately reflecting water quality conditions compared to traditional models, offering a cost-effective tool for monitoring and management. The findings underscore the urgent need for targeted pollution control measures and integrated water management strategies to safeguard the ecological integrity and public health of the Yangtze River Basin. This research not only contributes to the scientific understanding of water quality dynamics but also has significant implications for policy-making, advocating for the adoption of refined monitoring practices and the incorporation of microbial indicators in water quality assessments. |
| format | Article |
| id | doaj-art-e7fa79cb43724102951305b1ffa79bc7 |
| institution | Kabale University |
| issn | 2214-5818 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Journal of Hydrology: Regional Studies |
| spelling | doaj-art-e7fa79cb43724102951305b1ffa79bc72025-01-22T05:42:03ZengElsevierJournal of Hydrology: Regional Studies2214-58182025-02-0157102106Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approachWeifeng Xiao0Bozhi Ren1Bai Wu2Xinping Deng3School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; Hunan Geological Disaster Monitoring, Early Warning and Emergency Rescue Engineering Technology Research Center, Changsha 410004, ChinaSchool of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China; Hunan Geological Disaster Monitoring, Early Warning and Emergency Rescue Engineering Technology Research Center, Changsha 410004, China; Corresponding author at: School of Earth Sciences and Spatial Information Engineering, Hunan University of Science and Technology, Xiangtan 411201, China.Beiliu City Natural Resources Bureau, Yulin 537400, ChinaHunan Geological Disaster Monitoring, Early Warning and Emergency Rescue Engineering Technology Research Center, Changsha 410004, ChinaStudy region: The Yangtze River within the Nantong region, Jiangsu Province, China Study focus: This study investigates the spatiotemporal dynamics of water quality in the Nantong section of the Yangtze River Basin. It focuses on developing a novel water quality index model called WQImin-w3, which integrates five critical parameters: fecal coliforms (FC), turbidity (NTU), chlorides (Cl-), ammonia nitrogen (NH4-N), and dissolved oxygen (DO). Notably, fecal coliforms (FC) emerge as the most impactful parameter in the water quality index (WQI). The aim is to provide a streamlined yet comprehensive assessment of water quality in this region. New hydrological insights for the region: The WQImin-w3 model demonstrates superior performance in accurately reflecting water quality conditions compared to traditional models, offering a cost-effective tool for monitoring and management. The findings underscore the urgent need for targeted pollution control measures and integrated water management strategies to safeguard the ecological integrity and public health of the Yangtze River Basin. This research not only contributes to the scientific understanding of water quality dynamics but also has significant implications for policy-making, advocating for the adoption of refined monitoring practices and the incorporation of microbial indicators in water quality assessments.http://www.sciencedirect.com/science/article/pii/S2214581824004555Water quality index (WQI)Yangtze RiverEnvironmental managementSeasonal variabilityRiver pollutionSustainable development |
| spellingShingle | Weifeng Xiao Bozhi Ren Bai Wu Xinping Deng Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach Journal of Hydrology: Regional Studies Water quality index (WQI) Yangtze River Environmental management Seasonal variability River pollution Sustainable development |
| title | Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach |
| title_full | Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach |
| title_fullStr | Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach |
| title_full_unstemmed | Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach |
| title_short | Spatiotemporal dynamics and optimization of water quality assessment in the Nantong section of the Yangtze River Basin: A WQImin approach |
| title_sort | spatiotemporal dynamics and optimization of water quality assessment in the nantong section of the yangtze river basin a wqimin approach |
| topic | Water quality index (WQI) Yangtze River Environmental management Seasonal variability River pollution Sustainable development |
| url | http://www.sciencedirect.com/science/article/pii/S2214581824004555 |
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