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基于InVEST模型的河南省农田氮素面源污染时空模拟OA北大核心CSTPCD

Spatiotemporal simulation of nitrogen non-point source pollution in Henan Province based on In VEST model

中文摘要英文摘要

[目的]进行农田氮素面源污染模拟,分析其时空分布特征及影响因素,实现高效治理面源污染和农业生态保护.[方法]综合农业分区、地形、种植模式、熟制、土地覆被等因素,划分河南省土地利用类型单元,基于In-VEST模型对2000、2010和2020年河南省农田氮素面源污染状况进行时空模拟,并对输出负荷和影响因素进行分析.[结果]河南省大部分地市的氮素输出负荷总量及氮素排放强度与总体变化趋势相同,都呈现"先增后减"的趋势.各地市间差异明显,高氮素排放强度地区为南阳、信阳和驻马店市.氮素输出强度与地均施氮肥量、数字地理高程模型(digital elevation model,DEM)、降雨量、农田比例和坡度5个因素间均存在显著相关关系.偏相关分析表明,氮素输出强度与地均施氮肥量和降雨量密切相关.氮素排放强度分级结果表明,南阳、信阳和驻马店市存在一定范围的中高强度的排放区.[结论]揭示了河南省农田面源污染高排放强度区及其重要影响因素,从而促进相关氮素面源污染防控和精确治理.

[Objective]The objective of this study is to simulate nitrogen non-point source pollution in farmland,unraveling its spatio-temporal distribution characteristics and influencing factors.The ulti-mate aim is to enable efficient control of non-point source pollution and foster agricultural ecological protection.[Method]The research meticulously categorizes land use units in Henan Province,consid-ering factors like agricultural zoning,terrain,planting patterns,cropping systems,and land cover.Le-veraging the In VEST model,a temporal and spatial simulation of nitrogen non-point source pollution in farmland across Henan Province is conducted for the years 2000,2010,and 2020.The analysis then extends to both output loads and influencing factors.[Result]The total nitrogen output load and nitro-gen emission intensity in the majority of cities within Henan Province exhibited a consistent pattern,characterized by an initial increase followed by a subsequent decrease.Notable disparities were evident among different cities,with Nanyang,Xinyang,and Zhumadian identified as regions manifesting high nitrogen emission intensity.A significant correlation was established between nitrogen output intensity and several factors including average nitrogen application,digital elevation model(DEM),rainfall,proportion of farmland,and slope.Partial correlation analysis underscored a close association between nitrogen output intensity,nitrogen application per site,and rainfall.The outcomes of nitrogen emission intensity classification delineated specific medium and high-intensity emission zones within the cities of Nanyang,Xinyang,and Zhumadian.[Conclusion]The identification of regions with high emission in-tensity in farmland non-point source pollution within Henan Province,alongside the influential factors discovered,offers critical insights to enhance strategies for preventing and controlling nitrogen non-point source pollution in these areas.

于滢;陈伟强;郭宇龙;姬广兴;陈轶楠;盛思雨;邓亚茹

河南农业大学资源与环境学院,河南郑州 450046河南农业大学资源与环境学院,河南郑州 450046||河南省土地整治与生态重建工程技术研究中心,河南郑州 450046华中师范大学公共管理学院,湖北武汉 430079

环境科学

农田氮素面源污染InVEST模型偏相关分析强度分级

nitrogen in farmlandnon-point source pollutionInVEST modelpartial correlation ana-lysisstrength classification

《河南农业大学学报》 2024 (004)

644-653 / 10

国家重点研发计划项目(2021YFD1700900)

10.16445/j.cnki.1000-2340.20240023.003

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