Analysis of the Spatial-temporal Variation Characteristics and Causes of Water Quality in Baoying Lake
Based on monthly water quality monitoring data from 2014 to 2023 for Baoying Lake,the spatial and temporal distribution characteristics and causes of water quality in Baoying Lake were analyzed using classical statistical methods,the worst-case scenario method,ArcGIS spatial interpolation,and the anomaly coefficient method.The results indicate that nitrogen and phosphorus pollution loads are relatively severe in Baoying Lake,with total nitrogen(TN)and total phosphorus(TP)being the most critical controlling factors.Poor water quality periods tend to occur during the flood season within the year.From 2014 to 2023,the annual average concentrations of TN and TP showed an upward trend,with the worst-case values more likely to occur during flood discharge periods in the rainy season.Overall,concentration levels during the flood season were higher than those in non-flood seasons.In terms of spatial distribution,water quality in the northern and eastern areas of the lake was relatively better,while the western area had higher concentrations of water quality factors,resulting in relatively poorer overall water quality.Therefore,it is essential to focus on controlling nitrogen and phosphorus pollution in these areas.The main sources of pollution load in Baoying Lake include inflowing rivers,surface runoff,flood season discharge,aquaculture in the lake area,and internal release from lake sediments.These findings provide a scientific basis for the improvement of water quality and environmental protection of Baoying Lake.
water qualityspatial-temporal variationworst-case scenario methodArcGIS interpolation methodBaoying Lake
万方数据
维普
