As the upper reach of the Yangtze River, the Jinsha River has experienced ecological degradation due to increased anthropogenic activities. The potential pollution sources affecting the Jinsha River watershed from 2016 to 2018 were investigated using an improved method in combination with correlation analysis and the absolute principal component score-multiple linear regression receptor modeling technique. Our results identified 5–7 potential pollution sources in the Jinsha main stream watershed and the Pudu, Niulan, and Yalong River watersheds of the Jinsha River. The water pollutant concentrations of the Jinsha main stream watershed were mainly influenced by environmental, agricultural, and human population factors. In the Pudu River watershed, the primary pollution sources changed to natural and sedimentary pollutant sources. It is necessary to control the sedimentary pollutants. The Niulan River watershed was also influenced by natural environment factors. Among those, mineral, sedimentary pollutant, and meteorological sources contributed the most to water quality. In the case of the Yalong River watershed, the influence of non-point source pollution caused by human activities and sedimentary pollutants was the main reason for the deterioration of the ecological environment. The multivariate statistical techniques presented good adaptability for the analysis of pollution sources in the Jinsha River watershed, and the results may be useful for the protection and management of the watershed eco-environment.

作为长江上游，金沙江由于人为活动的增加而经历了生态退化。结合相关分析和绝对主成分评分-多元线性回归受体建模技术，结合改进方法，研究了2016-2018年影响金沙江流域的潜在污染源。我们的结果确定了金沙江干流域和金沙江普渡河，牛栏河，雅long江流域中的5-7种潜在污染源。金沙江干流域的水污染物浓度主要受环境，农业和人口因素的影响。在普渡河流域，主要污染源变为自然和沉积污染源。有必要控制沉积污染物。牛栏河流域还受到自然环境因素的影响。其中，矿物质，沉积污染物和气象资源对水质的影响最大。以雅long江流域为例，人类活动和沉积污染物对面源污染的影响是生态环境恶化的主要原因。多元统计技术对金沙江流域的污染源分析具有很好的适应性，其结果可能对流域生态环境的保护与管理具有借鉴意义。气象资源对水质的影响最大。以雅long江流域为例，人类活动和沉积污染物对面源污染的影响是生态环境恶化的主要原因。多元统计技术对金沙江流域的污染源分析具有很好的适应性，其结果可能对流域生态环境的保护和管理具有参考价值。气象资源对水质的影响最大。以雅long江流域为例，人类活动和沉积污染物对面源污染的影响是生态环境恶化的主要原因。多元统计技术对金沙江流域的污染源分析具有很好的适应性，其结果可能对流域生态环境的保护和管理具有参考价值。