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太湖主要入湖河流污染物源解析
成淑妍1, 王姗姗1, 王晨波1, 张然1, 邓希1, 删2
1.江苏省环境监测中心;2.删
摘要:
基于8条太湖主要入湖河流2020-2022年8个监测断面的8个指标,分析探讨主要入湖河流污染的时空分异特征,引用正定矩阵因子分析模型(PMF)定量化解析污染来源。结果表明:1、入湖河流各项污染指标浓度呈逐年下降趋势;NH3-N、TN浓度冬季(1—2月、12月)较高,CODMn、TP浓度夏季(6—9月)较高,COD、BOD5浓度一年有两次(1—5月、6—9月)峰值;2、太湖北部入湖河流望虞河、小溪港,西南山区大港河各项污染指标浓度处于相对较低水平。西部入湖河流武进港、太滆运河、太滆南运河、大浦港、乌溪港相对较高,对太湖N、P贡献较大。3、太湖主要入湖河流污染源主要有4类,分别为畜禽养殖和种植、生产生活、工业、水产养殖,贡献率分别为42.1%、12.9%、25.2%、19.8%。农业面源对水体污染物影响较大,应针对畜禽、水产养殖及农田退水路径削减污染物入河量。本研究将入河污染物来源定量化,研究结果可为太湖水体治理提供科学参考。
关键词:  太湖  主要入湖河流  源解析  正定矩阵因子分析
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基金项目:江苏省环境监测科研(2320)
Analysis Of Pollutant Sources In The Main Rivers Entering Taihu Lake
chengshuyan,wangshanshan,wangchengbo,zhangran,DENGXI,删
Jiangsu Environmental Monitoring Center
Abstract:
Based on the 8 indicators of 8 monitoring sections of 8 main rivers entering Taihu Lake from 2020 to 2022, the temporal and spatial differentiation characteristics of pollution in the main rivers entering the lake were analyzed and discussed, and the positive definite matrix factor analysis model was used to analyze the pollution sources. The results showed that: 1. The concentration of pollution indicators in the rivers entering the lake decreased year by year; The concentrations of NH3-N and TN were higher in winter (January-February and December), the concentrations of CODMn and TP were higher in summer (June-September), and the concentrations of COD and BOD5 peaked twice a year (January-May and June-September). 2. The concentration of pollution indicators in the southern part of Taihu Lake, Wangyu River and Xiaoxigang, and Dagang River in the southwest mountainous area are at a relatively low level. The concentrations of pollution indicators in Wujin Port, Taizhu Canal, Taiyun South Canal, Dapu Port and Wuxi Port are relatively high, which contribute greatly to the N and P of Taihu Lake. 3. There are four main types of pollution sources in Taihu Lake, namely livestock and poultry breeding and planting, production and living, industry and aquaculture, with contribution rates of 42.1%, 12.9%, 25.2% and 19.8% respectively. Agricultural non-point sources have a great impact on water pollutants, and the amount of pollutants entering rivers should be reduced according to the water withdrawal paths of livestock, poultry, aquaculture and farmland. In this study, the sources of pollutants entering the river were quantified, and the results of the study could provide a scientific reference for the treatment of Taihu Lake water body.
Key words:  Taihu  rivers entering the lake  source resolution  positive definite matrix factor analysis.
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