北京市农业面源污染负荷特征分析及控制分区

谢培; 宫健; 陈诚

doi:10.12153/j.issn.1674-991X.20190139

北京市农业面源污染负荷特征分析及控制分区

doi: 10.12153/j.issn.1674-991X.20190139

谢培^1,2,,
宫健¹,
陈诚^2,*, ,

1.
环境基准与风险评估国家重点实验室,中国环境科学研究院
2.
首都师范大学资源环境与旅游学院

详细信息

作者简介:
谢培(1992—),女,助理研究员,主要从事流域水环境模拟研究,xiepei198@163.com

通讯作者:
陈诚 E-mail: 1131591102@qq.com

中图分类号: X524
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出版历程
- 收稿日期: 2019-08-03
- 刊出日期: 2020-07-20

Analysis of pollution load characteristics and control zones division of agricultural non-point sources in Beijing City

XIE Pei^{1,2
,},
GONG Jian¹,
CHEN Cheng^{2,*
, ,}

1.
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences
2.
College of Resources Environment and Tourism, Capital Normal University

More Information

Corresponding author: CHEN Cheng E-mail: 1131591102@qq.com

摘要

摘要: 运用清单分析法、等标负荷法、聚类分析和地理信息系统(GIS)软件等对北京市2016年农业面源的污染源、污染物及其空间分布特征进行分析。结果表明:北京市农业面源主要污染源为农村生活和畜禽养殖,农业面源污染管控中应加强对农村生活和畜禽养殖污染的控制;北京市农业面源污染呈较强的区域分异特征,水产养殖污染主要集中在平谷区,农村生活污染以房山区为最严重;房山、通州、顺义、昌平和大兴等区的总氮(TN)、总磷(TP)和化学需氧量(COD)等标污染指数均超过全市平均水平,其中房山区最高。通过农业面源污染风险空间聚类可将北京市划分为高度、中度和轻度风险区3个一级分区,进一步结合各区主要污染源类型可划分为8个二级分区,由此可对农业面源污染进行分类管控,并提出北京市农业面源污染的防治对策。
- 农业面源污染 /
- 清单分析 /
- 空间特征 /
- 控制分区 /
- 北京市
Abstract: The methods of inventory analysis, equivalent load method, cluster analysis and geographic information system (GIS) technology were used to analyze the pollution sources, pollutants and their spatial distribution characteristics of agricultural non-point sources (NPS) in Beijing in 2016. The results showed that the main sources of agricultural NPS pollution in Beijing were mainly rural residents and livestock and poultry. It was suggested that the pollution control of rural residents and livestock and poultry in the future agricultural NPS pollution control should be strengthened. Agricultural NPS pollution showed strong regional differentiation characteristics, with aquaculture pollution being mainly concentrated in Pinggu District, and rural living pollution being the most serious in Fangshan District. TN, TP and COD pollution indexes in Fangshan, Tongzhou, Shunyi, Changping and Daxing Districts all exceeded the average level of the whole city, and Fangshan District was the highest. According to the spatial clustering analysis of agricultural NPS pollution risk, the whole Beijing could be divided into three primary zones: high, medium and light risk zones. In addition, based on the main types of pollution sources in each zone, it could be divided into 8 secondary sub-zones. Therefore, the agricultural NPS pollution could be classified and controlled, and the corresponding prevention and control countermeasures were proposed.
- agricultural non-point source pollution /
- inventory analysis /
- spatial characteristics /
- control zonation /
- Beijing City

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