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金沙江流域丽江段主要河流水质时空变化特征及污染源解析

Spatio-temporal variation characteristics of water quality and pollution source analysis of main rivers in Lijiang section of Jinsha River Basin

  • 摘要: 为探究金沙江流域丽江段主要河流水质时空变化特征并解析污染源,基于流域内13个监测断面2020—2023年的pH值、溶解氧(DO)、高锰酸盐指数(CODMn)、氨氮(NH3-N)和总磷(TP)监测数据,采用综合水质指数法(WQI)分析水质变化,应用主成分分析法(PCA)和绝对主成分-多元线性回归(APCS-MLR)模型对研究区水质特征和污染来源进行研究。结果表明:研究区水质类别整体以Ⅰ类和Ⅱ类为主。WQI总体处于“良好”水平;时间上,夏季WQI平均值最低(81.89),冬季最高(88.76);空间上,金江桥S5水质较好,龙兴村S10断面水质相对较差。研究区典型污染因子为CODMn、NH3-N和TP;污染源类型可分为农业活动和生活污水混合源、气象因子和自然环境因素;总体呈现干流水质比支流好。未知源对研究区水质影响的贡献率为32.16%,气象因子贡献率为27.71%,自然环境因素贡献率为26.95%,农业活动和生活污水混合源贡献率为13.18%;CODMn的主要来源为未知源,NH3-N和TP的主要来源为农业活动和生活污水混合源。研究结果可为金沙江流域丽江段水资源保护与管理提供参考。

     

    Abstract: In order to explore the temporal and spatial variation characteristics of water quality in the main rivers in Lijiang section of Jinsha River Basin and analyze the pollution sources, based on pH value, dissolved oxygen(DO), permanganate index(CODMn), ammonia nitrogen(NH3-N), and total phosphorus(TP) monitoring data from 13 monitoring sections in the basin from 2020 to 2023, the comprehensive water quality index method(WQI) was used to analyze the water quality changes. and the principal component analysis(PCA) and absolute principal component-multiple linear regression(APCS-MLR) models were used to analyze the water quality characteristics and pollution sources in the study area. The results showed that the overall water quality categories in the study area were mainly Class I and Class II. WQI was generally at a ' good ' level ; in terms of time, the average WQI was the lowest in summer(81.89) and the highest in winter(88.76); spatially, the water quality of Jinjiang Bridge S5 was better, and the water quality of Longxing Village S10 section was relatively poor. The typical pollution factors in the study area were CODMn, NH3-N and TP; the types of pollution sources could be divided into agricultural activities and domestic sewage mixed sources, meteorological factors and natural environmental factors. Overall, the water quality of the main stream was better than that of the tributaries. The contribution rate of unknown sources to water quality in the study area was 32.16%, the contribution rate of meteorological factors was 27.71%, the contribution rate of natural environmental factors was 26.95%, and the contribution rate of mixed sources of agricultural activities and domestic sewage was 13.18%. The main sources of CODMn were unknown sources, and the main sources of NH3-N and TP were mixed sources of agricultural activities and domestic sewage. The research results can provide reference for the protection and management of water resources in Lijiang section of Jinsha River Basin.

     

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