生态与农村环境学报2026，Vol.42Issue(6)：783-794,12.DOI:10.19741/j.issn.1673-4831.2025.0262
黄河中游集约化农区附加面源污染物排放量的降尺度核算
Downscaling Accounting of Additional Non-point Source Pollution Emissions from Intensive Agricultural Areas in the Middle Reaches of the Yellow River Basin
摘要
Abstract
Aiming at the demand for fine accounting of additional non-point source pollution in the intensive agricultural areas in the middle reaches of the Yellow River,this study takes the Weihe River Basin as a case study.By integrating land use data,rural population and livestock farming data were spatially allocated,enabling the disaggregation of county-level statistical data to a 1 km×1 km grid scale.Coupled with emission coefficients and differentiated removal rates,the study achieved high-resolution estimations of two major categories of additional non-point source pollutants—total nitrogen(TN)and total phosphorus(TP)—from rural domestic sewage and livestock farming over the period 2000-2022.The re-sults show that:(1)High-emission areas of TN and TP from rural domestic sewage were primarily located in the south-eastern part of the basin,whereas those from livestock farming were mainly concentrated in the western region.Areas with expanding rural settlements and intensive livestock farming clusters emerged as pollution hotspots.(2)The information entropy(H)of TN and TP at the grid scale was higher than that at the county scale for both pollution sources,indicating that the grid scale better captures the spatial heterogeneity of pollutant distribution.For example,the information entropy of TN from rural domestic sewage at the grid scale was 13.76 in 2022,significantly higher than 5.15 at the county scale.Similarly,for livestock farming,the grid-scale HTN reached 14.42,compared to 5.61 at the county scale.(3)In 2022,the hotspot areas identified at both grid and county scales exhibited a high degree of spatial overlap for both pollution sources.Over 70%of the total hotspot area was captured at the grid scale,which was substantially higher than the range of 32.6%-44.5%at the county scale.This suggests that the grid scale offers greater advantages in revealing spatial details and identifying zones of high pollutant concentration.Therefore,the downscaling accounting method proposed in this study significantly enhances the ability to characterize the spatial heterogeneity of additional non-point source pollutant emis-sions.The results of this study can provide scientific basis and data support for the efficient coupling of explicit pollution control and localized water quality response mechanism modeling in intensive agricultural areas in the middle reaches of the Yellow River.关键词
栅格尺度/附加面源污染/排污系数法/信息熵/冷热点分析Key words
grid scale/additional non-point source pollution/pollutant discharge coefficient method/information entro-py/hotspot and coldspot analysis分类
资源环境引用本文复制引用
余严飞,王小溪,李佳一,闵敏..黄河中游集约化农区附加面源污染物排放量的降尺度核算[J].生态与农村环境学报,2026,42(6):783-794,12.基金项目
国家自然科学基金青年项目(42101285,42201051) （42101285,42201051）
国家资助博士后研究人员计划B档(GZB20240196) （GZB20240196）
河南省青年人才托举工程项目(2025HYTP007) （2025HYTP007）
中国博士后科学基金面上资助项目(2023M730945) （2023M730945）
河南省科技攻关项目(242102321120,242102320234) （242102321120,242102320234）
河南省高等学校重点科研项目(24A170009,23A170017) （24A170009,23A170017）
