首页|期刊导航|农业环境科学学报|农业面源污染负荷时空演变特征与关键源区识别

农业面源污染负荷时空演变特征与关键源区识别OA

Spatio-temporal evolution characteristics of agricultural non-point source pollution load and identification of key source areas

中文摘要英文摘要

为揭示微观尺度下农业面源污染的时空动态特征及其环境驱动机制,本研究以丹江口库区蒿坪镇为研究对象,构建融合降雨-地形修正的改进输出系数模型,引入热点频率指数识别稳定性关键源区,并采用相关性分析和随机森林模型识别面源污染时空分异影响因素.结果表明:2019-2024年,蒿坪镇TN、TP污染负荷量均呈现先上升后下降再上升的趋势,年际波动主要受降雨驱动,土地利用与畜禽养殖始终是TN、TP污染负荷的主要来源.空间分布呈现"中部高、南北低"的集聚格局,高负荷区主要集中在观音庙村等中部区域.识别出TN、TP共有的稳定性关键源区占全镇总面积的16.1%,其中94.4%为耕地,表现为持续的高排放特征;波动性关键源区受降雨驱动明显,空间分布相对分散.驱动力分析显示,坡度是耕地内部污染分异的关键因子,且坡度对TN的相对重要性高于TP.研究表明,对稳定性热点,应实施源头削减与水土保持措施,并强化畜禽粪污资源化利用;对波动性热点,应采用建设生态缓冲带等过程拦截策略.

Aiming at the problem that traditional static assessment methods struggle to distinguish between perennial high-risk pollution areas and accidental outbreak areas,this study intends to reveal the spatiotemporal dynamic characteristics and environmental driving mechanisms of agricultural non-point source pollution at the microscale.Taking Haoping Town in the Danjiangkou Reservoir area as the study area,an improved export coefficient model integrated with rainfall-topography correction was established.The hotspots frequency index was introduced to identify stable critical source areas,and correlation analysis combined with the random forest model was adopted to determine the influencing factors of the spatiotemporal differentiation of non-point source pollution.The results showed that:from 2019 to 2024,the pollution loads of TN and TP in Haoping Town both exhibited a trend of rising first,then falling and rising again.The interannual fluctuation was mainly driven by rainfall,and land use and livestock and poultry breeding were always the main sources of TN and TP pollution loads.The spatial distribution presented an agglomeration pattern of"high in the central area and low in the north and south",with high-load areas mainly concentrated in the central regions such as Guanyinmiao Village.The stable critical source areas shared by TN and TP were identified to account for 16.1%of the town's total area,of which 94.4%was cultivated land,characterized by sustained high emissions.The volatile critical source areas were significantly driven by rainfall and relatively scattered in spatial distribution.The driving force analysis shows that slope is the key factor for pollution differentiation within cultivated land,and its relative importance to TN is higher than that to TP.For stable hotspots,source reduction and soil and water conservation measures should be implemented,together with enhanced resource utilization of livestock and poultry manure.For unstable hotspots,process interception strategies such as constructing ecological buffer zones should be adopted.

杨晨;高懋芳;杨歧焱;李石磊;王天丽;李佳雯;马定宇;张怡杰;王祺智

河北地质大学地球科学学院,石家庄 050031||中国农业科学院农业资源与农业区划研究所,北京 100081中国农业科学院农业资源与农业区划研究所,北京 100081河北地质大学地球科学学院,石家庄 050031中国农业科学院农业资源与农业区划研究所,北京 100081中国农业科学院农业资源与农业区划研究所,北京 100081河北地质大学地球科学学院,石家庄 050031||中国农业科学院农业资源与农业区划研究所,北京 100081首都师范大学资源环境与旅游学院,北京 100048中国农业科学院农业资源与农业区划研究所,北京 100081中国农业科学院农业资源与农业区划研究所,北京 100081

资源环境

面源污染改进输出系数模型地形修正降雨随机森林稳定性热点

non-point source pollutionimproved export coefficient modeltopographic modificationrainfallrandom Foreststable hotspots

《农业环境科学学报》 2026 (4)

830-840,11

国家重点研发计划项目(2024YFD1702001)National Key Research and Development Program of China(2024YFD1702001)

10.11654/jaes.2025-1219

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