摘要
Abstract
Based on the water quality monitoring data from 11 provincial or municipal monitoring sections in Luzhou City from 2021 to 2023,single factor evaluation,cluster analysis,and principal component analysis were adopted in this study to investigate the spatiotemporal variations in water quality and the main influencing factors in small watersheds.Descriptive statistics indicated that the study area had significant organic pollution and mild nutrient pollution,with only 67.17％of chemical oxygen demand samples meeting Class Ⅲ water body standards.The water quality assessment results showed that the worst water quality was in May and June,while the Jiuqu River haD the poorest water quality spatially.According to a cluster analysis,the study area was divided into two main groups:Group 1 included the Jiuqu River,Maxihe River,Longxi River,Dalu River,and Laixi River,which were heavily polluted,while Group 2 comprised the Tanghe River,Yongning River,and Gulin River,which experienced moderate pollution.Principal component analysis revealed the key indicators affecting water quality in different regions,identifying organic pollutants as the primary factor influencing water quality changes in watersheds of Group 1,whereas watersheds of Group 2 required increased attention to nitrogen and phosphorus pollution.The findings provide a scientific basis for the precise management of small watershed water environments in Luzhou City.关键词
小流域/水质评价/时空变化/聚类分析/主成分分析Key words
Small watershed/water quality assessment/special and temporal variation/cluster analysis/principal component analysis分类
资源环境
