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基于DPeRS模型的陕西省总氮面源污染时空特征解析

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为明确陕西省总氮(TN)面源污染时空分布特征、污染类型和污染优控区,本文采用遥感分布式面源污染评估模型(DPeRS模型)对2016-2020年陕西省TN面源污染的时空分布特征进行遥感像元尺度(30 m)评估分析,识别了面源污染主要类型和优控单元,并探讨分析了面源污染对地表水污染的贡献率。结果表明:污染量上,2016-2020年陕西省TN面源污染平均排放负荷为1。25 t·km-2,平均入河量为8。31万t;时间尺度上,TN面源污染排放负荷表现为先降后升的变化趋势,入河量表现为随年际变化上下波动的趋势;空间分布上,TN面源污染排放负荷高值区主要分布在黄河流域段,渭河流域段尤为显著,入河高风险区主要集中分布在渭河流域的平原种植区;污染类型上,农田径流型是陕西省TN面源污染的首要污染类型,其次为水土流失型。全省49个控制单元中,2016-2020年TN面源污染优控单元平均个数为24个,平均面积占比为61。21%,其中Ⅰ类优控单元主要分布在渭河流域段。此外,2017-2020年TN面源污染对陕西省地表水质TN的平均贡献率为46。51%,其中农业源的平均贡献率为41。87%。研究表明,陕西省TN面源污染防控应重点关注黄河流域段面源污染优控单元,尤其是渭河流域农田径流型防控。
Analysis of the spatial and temporal characteristics of total nitrogen non-point source pollution in Shaanxi Province based on DPeRS model
In order to clarify the temporal and spatial distribution characteristics,pollution types and pollution control areas of total nitrogen(TN)non-point source pollution in Shaanxi Province,diffuse pollution estimation with remote sensing(DPeRS)model was used to evaluate the temporal and spatial distribution characteristics of non-point source pollution load and pollution sources in Shaanxi Province from 2016 to 2020 by remote sensing pixel scale(30 m).This paper identifies the main types and optimal control units of non-point source pollution,and discusses the contribution rate of non-point source pollution to surface water pollution.The results show that the average discharge load of TN non-point source pollution is 1.25 t·km-2,with the amount of river entry being 8.31×104 ton in Shaanxi Province from 2016 to 2020.The discharge load of TN non-point source pollution shows a trend of first decreasing and then increasing,and the amount of river entry shows a trend of fluctuation with the interannual change.The TN non-point source pollution is relatively serious in the Yellow River basin,especially in the Weihe River basin,and the high-risk areas of entering the river are mainly distributed in the plain planting areas of the Weihe River basin.Farmland runoff is the primary type of non-point source pollution of TN in Shaanxi Province,followed by soil erosion.Among the 49 control units in Shaanxi Province,the average number of TN non-point source pollution control units is 24 from 2016 to 2020,accounting for 61.21% of the average area,and the optimal control units of Class Ⅰare mainly distributed in Weihe River basin.In addition,the average contribution rate of TN non-point source pollution to the total nitrogen of surface water quality was 46.51% in Shaanxi Province from 2017 to 2020,and the average contribution rate of agricultural sources was 41.87% .The prevention and control of TN non-point source pollution in Shaanxi province focuses on the optimal control unit of non-point source pollution in the Yellow River basin,especially the control of farmland runoff in the Weihe River basin.

non-point source pollutionDPeRS modelremote sensingShaanxi Provincetotal nitrogen

罗仪宁、冯爱萍、王雪蕾、李楠、黄莉、谢成玉、朱南华诺娃、张沛、王晓岩

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陕西省环境监测中心站,陕西省环境介质痕量污染物监测预警重点实验室,西安 710054

生态环境部卫星环境应用中心,北京 100094

面源污染 DPeRS模型 遥感 陕西省 总氮

2024

农业环境科学学报
农业部环境保护科研监测所 中国农业生态环境保护协会

农业环境科学学报

CSTPCD北大核心
影响因子:1.52
ISSN:1672-2043
年,卷(期):2024.43(12)