Volume 10 Issue 4
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Article Navigation >  Journal of Environmental Engineering Technology  > 2020  >  10(4): 613-622
XIE Pei, GONG Jian, CHEN Cheng. Analysis of pollution load characteristics and control zones division of agricultural non-point sources in Beijing City[J]. Journal of Environmental Engineering Technology, 2020, 10(4): 613-622. doi: 10.12153/j.issn.1674-991X.20190139
Citation: XIE Pei, GONG Jian, CHEN Cheng. Analysis of pollution load characteristics and control zones division of agricultural non-point sources in Beijing City[J]. Journal of Environmental Engineering Technology, 2020, 10(4): 613-622. doi: 10.12153/j.issn.1674-991X.20190139
shu

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

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

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  • Corresponding author: CHEN Cheng E-mail: 1131591102@qq.com
  • Received Date: 2019-08-03
  • Publish Date: 2020-07-20
    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.

     

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