AI Article Synopsis

  • Small reservoirs in the upper Yangtze River are crucial for ecology and economy; studying their water quality response to environmental factors can help improve it.
  • Research analyzed water quality data from 36 reservoirs, categorizing environmental variables into landscape configuration, landscape composition, and reservoir characteristics to understand their impact on water quality.
  • Findings indicated that agricultural areas contribute to nutrient pollution, while paddy and forest land help in water purification, with reservoir depth being the most influential factor on water quality; landscape configuration was the most significant variable affecting water quality changes.

Article Abstract

Small reservoirs in the Yangtze River are large in quantity and widely distributed, which have important ecological and economic benefits. It is of great significance to explore the response law of small reservoir water quality to environmental variables for improving reservoir water quality. Based on the measured water quality data of 36 small reservoirs in the upper reaches of the Yangtze River, combined with the measured water quality data, using correlation analysis, redundancy analysis, and other research methods, we divided the environmental variables into three categories:landscape configuration index, landscape composition index, and reservoir characteristic index, and explored their impact on the change in water quality index. The research results showed that:① farms were the main source of NO-N, TN, and TP, and residential land was the main source of TP. Paddy, forest land, and wasteland had positive effects on the retention and purification of N and P in reservoirs. ② The LPI of farms was significantly positively correlated with the concentrations of TN and NO-N in the reservoir, and the paddy and forest were significantly negatively correlated with the concentrations of NO-N and TN in the reservoir. The PD of farms was positively correlated with TP. The LPI was negatively correlated with TP content. ③ The correlation between average reservoir depth and reservoir water quality was the strongest. Reservoir capacity, reservoir average depth, and reservoir LSI had significant positive effects on water quality improvement. ④ Among the environmental variables of the reservoir, landscape configuration index had the highest explanatory rate (24%), followed by that of the reservoir characteristics index (11%) and landscape composition index (9%). Watershed factors were the key factors (55%), and internal factors (19%) also had a significant influence on reservoir water quality. The research results can provide a theoretical basis for controlling water quality degradation of small reservoirs by managing and optimizing the landscape characteristics of reservoirs.

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http://dx.doi.org/10.13227/j.hjkx.202204228DOI Listing

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