环境生态学2024,Vol.6Issue(12) :118-125.DOI:10.3969/j.issn.2096-6830.2024.12.18

大陆溪流域非点源污染入河负荷估算及污染特征分析

Estimation of non-point source pollution load and analysis of pollution characteristics in the Daluxi Basin

乐夷龙 汪真 蒋彬
环境生态学2024,Vol.6Issue(12) :118-125.DOI:10.3969/j.issn.2096-6830.2024.12.18

大陆溪流域非点源污染入河负荷估算及污染特征分析

Estimation of non-point source pollution load and analysis of pollution characteristics in the Daluxi Basin

乐夷龙 1汪真 1蒋彬1
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作者信息

  • 1. 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
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摘要

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.

Abstract

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.

关键词

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

Key words

Improved output coefficient method/Daluxi Basin/non-point source pollution/load estimation/quarter/pollution characteristics

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出版年

2024
环境生态学

环境生态学

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