Journal
JOURNAL OF ENVIRONMENTAL MANAGEMENT
Volume 318, Issue -, Pages -Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2022.115581
Keywords
Land use; Hydrology; Climate; Water quality; Large rivers; Non-point source pollution
Categories
Funding
- National Key R & D Program of China [2019YFD0901203]
- Chinese Academy of Sciences [ZDRW-ZS-2017-3-2]
- China Three Gorges Corporation [201903144]
- WWF [10002550, 10003581]
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This study investigated the water quality patterns and influencing factors in China's largest river, the Yangtze River, finding that water quality was mainly influenced by land use, hydrology, and climate. Decision-makers and regulators of large river basin management should develop programs that consider both human and natural drivers for water quality conservation.
Influences of multiple environmental factors on water quality patterns is less studied in large rivers. Landscape analysis, multiple statistical methods, and the water quality index (WQI) were used to detect water quality patterns and influencing factors in China's largest river, the Yangtze River. Compared with the dry season, the wet season had significantly higher total phosphorus (TP), chemical oxygen demand (COD), total suspended solids (TSS), and turbidity (TUR). The WQI indicated Moderate and Good water quality in the wet and dry seasons, respectively. Compared with other sites, the upper reach sites that immediately downstream of the Three Gorges Dam had lower TP, TN, TSS and TUR in both seasons, and had lower and higher water temperature in the wet and dry seasons, respectively. Water quality patterns were mainly driven by heterogeneity in land use (i.e., wetland, cropland, and urban land), hydrology (i.e., water flow, water level), and climate (i.e., rainfall, air temperature). Water quality in the wet season was primarily driven by land use while the joint effect of land use and hydrology primarily drove in the dry season. Decision-makers and regulators of large river basin management may need to develop programs that consider influences from both human and natural drivers for water quality conservation.
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