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ENHANCING RAINFALL-RUNOFF POLLUTION MODELING BY INCORPORATION OF NEGLECTED PHYSICAL PROCESSES 被引量:1
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作者 mingjin cheng Xin LIU +4 位作者 Han XIAO Fang WANG Minghao PAN Zengwei YUAN Hu SHENG 《Frontiers of Agricultural Science and Engineering》 CSCD 2023年第4期553-565,共13页
The growing need to mitigate rainfall-runoff pollution,especially first flush,calls for accurate quantification of pollution load and the refined understanding of its spatial-temporal variation.The wash-off model has ... The growing need to mitigate rainfall-runoff pollution,especially first flush,calls for accurate quantification of pollution load and the refined understanding of its spatial-temporal variation.The wash-off model has advantages in modeling rainfall-runoff pollution due to the inclusion of two key physical processes,build-up and wash-off.However,this disregards pollution load from wet precipitation and the relationship between rainfall and runoff,leading to uncertainties in model outputs.This study integrated the Soil Conservation Service curve number(SCS-CN)into the wash-off model and added pollutant load from wet precipitation to enhance the rainfall-runoff pollution modeling.The enhanced wash-off model was validated in a typical rural-residential area.The results showed that the model performed better than the established wash-off model and the commonly-used event mean concentrations method,and identified two different modes of pollution characteristics dominated by land pollution and rainfall pollution,respectively.In addition,the model simulated more accurate pollutant concentrations at high-temporal-resolution.From this,it was found that 12%of the total runoff contained 80%to 95%of the total load for chemical oxygen demand,total N,and total P,whereas it contained only 15%of the total load for NH4+-N.The enhanced model can provide deeper insights into non-point pollution mitigation. 展开更多
关键词 Erhai Lake field experiment non-point source pollutionn load rainfall runoff wash-off model
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