Journal of Ecology and Rural Environment ›› 2010, Vol. 26 ›› Issue (2): 126-131.doi: CNKI:SUN:NCST.0.2010-02-008

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Load and Status Quo of Agricultural Non-point Source Pollution in Dasuhe Township on the Upperstreams of Hun River

ZHAO  Qian, MA  Jian, WEN  Qing-Chun, LU  Cai-Yan, CHEN  Xin, SHI  Yi   

  1. Institute of Applied Ecology,Chinese Academy of Sciences
  • Received:2009-08-17 Online:2010-03-25 Published:2011-04-01
  • Contact: CHEN Xin Institute of Applied Ecology,Chinese Academy of Sciences E-mail:chenxin@iae.ac.cn

Abstract: Aiming at the problem of lack of water monitoring data of medium and small river basins in the countryside of North China, a project was carried out based on the findings of field surveys and the local statistics yearbooks, to calculate agricultural non-point source pollution load of 10 administrative villages in Dasuhe Township,using the export coefficient method, and in verification of the data obtained in the field survey and their relationship with pollution load, evaluation of the pollution sources was done, using the equiscalar pollution loading method, to obtain comparative equiscalar pollution loads on the same scale. Cluster analysis of the findings and results were obtained. The 10 villages were divided into 4 types in terms of agricultural non-point source pollution, and characteristics of each pollution source was analyzed.Results of the evaluation show that the Dasuhe Village ranked first in contribution to the load of domestic pollution and livestock dejecta pollution, and the Xiaosuhe Village did in contribution of the load of farmland chemical fertilizer pollution. The cluster analysis also demonstrates that the mean value of the equiscalar pollution loads of the 4 types of agricultural non-point source pollution was 51.05、95.80、236.41、185.69 m3, which indicates that relative differences are exsiting between villages in agricultural non-point source pollution.

Key words: agricultural non-point source pollution, export coefficient method, equiscalar pollution load, cluster analysis

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