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大陆溪流域非点源污染入河负荷估算及污染特征分析

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本研究采用包含5个因子的改进输出系数法,并结合2022年的逐月降雨数据估算了大陆溪流域4个季度和各乡镇的非点源污染入河负荷总量,可为地方政府在该流域开展生态环境保护工作提供科学依据.结果表明:大陆溪流域在2022年每个季度的污染物入河负荷量呈现春季(3-5月)>夏季(6-8月)>冬季(12-2月)>秋季(9-11月)的趋势;2022年大陆溪流域的TN入河负荷量是188.53 t,TP入河负荷量是13.83 t,COD入河负荷量是1 220.95 t,污染负荷主要分布在百和镇、朱沱镇、仙龙镇;TN和TP污染物的入河负荷主要来自于地表径流污染源,COD污染物的入河负荷主要来自于畜禽养殖污染源;估算结果与实际监测计算结果的误差均在15%以内,基本达到精度要求.
Estimation of non-point source pollution load and analysis of pollution characteristics in the Daluxi Basin
This study employs an enhanced output coefficient method that takes into account five factors to estimate the total non-point source pollution entering the river across four quarters and each township in the Daluxi Basin,based on monthly rainfall data from 2022.This provides a scientific basis for local governments to implement ecological and environmental protection measures in the basin.The results revealed the highest loads in Quarter 1(March-May)and the lowest in Quarter 3(September-November).The annual loads were 188.53 tons for TN,13.83 tons for TP,and 1 220.95 tons for COD.These loads were primarily distributed in Baihe,Zhutuo,and Xianlong towns,with TN and TP loads mainly originating from surface runoff and COD from livestock breeding.The estimates were within a 15%error margin compared to monitoring data.

Improved output coefficient methodDaluxi Basinnon-point source pollutionload estimationquarterpollution characteristics

乐夷龙、汪真、蒋彬

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重庆交通大学河海学院,重庆 400074

重庆交通大学环境水利工程重庆市工程实验室,重庆 400074

改进输出系数法 大陆溪流域 非点源污染 负荷量估算 季度 污染特征

2024

环境生态学

环境生态学

CSTPCD
ISSN:
年,卷(期):2024.6(12)