{"title":"Spatio-Temporal Variation of Water Quality in Lixia River Watershed Associated with the Operation of a Water Diversion Project","authors":"Chenjuan Jiang, Liang Luo, Jia’nan Zhou, Guosheng Fu, Xiaoli Chen","doi":"10.1134/s0097807823600572","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Abstract</h3><p>Based on multi-variable water quality data, spatio-temporal variations of water quality can be explored to provide a scientific basis for sustainable water quality management. Lixia River Watershed, a relatively closed low-lying polder area in the lower reaches of Huai River basin, China, is closely related to the Yangtze River system. The spatio-temporal variations of water quality of Taizhou, a subsection of the Lixia River Watershed, were assessed based on the monthly water quality data of 39 sampling sites in 2017, by combining methods of Water Quality Index of the Canadian Council of Ministers of the Environment (CCME WQI), cluster analysis (CA), discriminant analysis (DA) and principal component analysis (PCA). The results show that CCME WQI ranged from 70.17 to 95.35, and the water quality of sampling sites could be grouped into 3 categories, where the southwestern parts of both Hailing and Jiangyan were excellent, the south and northeast of Xinghua were good, the southeast of Jiangyan and the northwest of Xinghua were fair. The 12 months of 2017 were grouped into two clusters, water quality in time period 1 (January to March, July to October) was poor, while that in time period 2 (April to June, November to December) was good. Sampling sites were grouped into two clusters: spatial group A (southwest of both Jiangyan and Hailing, south of Xinghua) and spatial group B (southeast of Jiangyan, north of Xinghua), and spatial group B was seriously polluted. NH<sub>3</sub>-N, total phosphorus (TP) and five-day biochemical oxygen demand (BOD<sub>5</sub>) were the major variables responsible for water quality variation, while permanganate index (COD<sub>Mn</sub>), chemical oxygen demand (COD<sub>cr</sub>) and dissolved oxygen (DO) were the secondary parameters.</p>","PeriodicalId":49368,"journal":{"name":"Water Resources","volume":"10 1","pages":""},"PeriodicalIF":0.9000,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Water Resources","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1134/s0097807823600572","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"WATER RESOURCES","Score":null,"Total":0}
引用次数: 0
Abstract
Based on multi-variable water quality data, spatio-temporal variations of water quality can be explored to provide a scientific basis for sustainable water quality management. Lixia River Watershed, a relatively closed low-lying polder area in the lower reaches of Huai River basin, China, is closely related to the Yangtze River system. The spatio-temporal variations of water quality of Taizhou, a subsection of the Lixia River Watershed, were assessed based on the monthly water quality data of 39 sampling sites in 2017, by combining methods of Water Quality Index of the Canadian Council of Ministers of the Environment (CCME WQI), cluster analysis (CA), discriminant analysis (DA) and principal component analysis (PCA). The results show that CCME WQI ranged from 70.17 to 95.35, and the water quality of sampling sites could be grouped into 3 categories, where the southwestern parts of both Hailing and Jiangyan were excellent, the south and northeast of Xinghua were good, the southeast of Jiangyan and the northwest of Xinghua were fair. The 12 months of 2017 were grouped into two clusters, water quality in time period 1 (January to March, July to October) was poor, while that in time period 2 (April to June, November to December) was good. Sampling sites were grouped into two clusters: spatial group A (southwest of both Jiangyan and Hailing, south of Xinghua) and spatial group B (southeast of Jiangyan, north of Xinghua), and spatial group B was seriously polluted. NH3-N, total phosphorus (TP) and five-day biochemical oxygen demand (BOD5) were the major variables responsible for water quality variation, while permanganate index (CODMn), chemical oxygen demand (CODcr) and dissolved oxygen (DO) were the secondary parameters.
期刊介绍：
Water Resources is a journal that publishes articles on the assessment of water resources, integrated water resource use, water quality, and environmental protection. The journal covers many areas of research, including prediction of variations in continental water resources and regime; hydrophysical, hydrodynamic, hydrochemical and hydrobiological processes, environmental aspects of water quality and protection; economic, social, and legal aspects of water-resource development; and experimental methods of studies.
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