金沙江(云南段)流域水质现状及分析  

Current Situation and Analysis of Water Quality of the Jinsha River(Yunnan Section)Basin

作　　者：蒋为 李杰 陈异晖 谭志卫 JIANG Wei;LI Jie;CHEN Yi-hui;TAN Zhi-wei(Yunnan Research Academy of Eco-environmental Science,Yunnan Key Laboratory of Pollution Process and Management of Plateau Lake-Watershed,Kunming Yunnan 650034,China)

机构地区：[1]云南省生态环境科学研究院,云南省高原湖泊流域污染过程与管理重点实验室,云南昆明650034

出　　处：《环境科学导刊》2023年第6期78-82,共5页Environmental Science Survey

基　　金：云南省科技技术厅社会发展领域项目《高原浅水富营养化湖泊污染协同综合治理关键技术集成与示范》(202203AC100002);云南省科学技术厅社会发展领域项目《云南典型生态区生态保护与修复技术研究与应用示范》(2019BC001)。

摘　　要：在金沙江(云南段)流域选择代表性河段、支流、湖泊共67个,进行水质采样分析,选取pH、溶解氧、浊度、总氮、氨氮、总磷6个水质监测指标,采用单因子类别评价法定性评价金沙江(云南段内)2021年水质状况,并基于ArcGIS软件空间插值工具,使用反距离权重法对各项水质监测指标在金沙江流域空间分布变化进行分析。结果显示,金沙江流域内污染物的空间分布差异较为显著,但空间分布规律不完全相同,pH与溶解氧空间差异不大,浊度、总氮、氨氮与总磷在流域内差异较大。A total of 67 representative river sections,tributaries,and lakes were selected in the Jinsha River(Yunnan section)Basin for water quality sampling analysis.Six water quality monitoring indicators involving pH,dissolved oxygen,turbidity,total nitrogen,ammonia nitrogen,and total phosphorus were chosen to legally evaluate the water quality status of the Jinsha River(within Yunnan Province)in 2021 adopting a single factor category evaluation method and the ArcGIS software spatial interpolation tool.The inverse distance weighting method was used to analyze the spatial distribution changes of various water quality monitoring indicators in the basin.The results showed that there were significant differences in the spatial distribution of pollutants in the basin,but the spatial distribution patterns were not completely the same.The spatial differences in pH and dissolved oxygen were not significant,and there were significant differences in turbidity,total nitrogen,ammonia nitrogen,and total phosphorus within the basin.

关 键 词：金沙江 水质分析 空间分布差异 云南段 

分 类 号：X824[环境科学与工程—环境工程]