Journal of Changjiang River Scientific Research Institute ›› 2024, Vol. 41 ›› Issue (4): 55-61.DOI: 10.11988/ckyyb.20221462

• Water Environment And Water Ecology • Previous Articles     Next Articles

Refined Estimation and Empirical Study of Non-point Source Pollution Load in Small Watershed:A Case Study of Yanghua River Basin, Chengdu

XIA Yu-chao1, YUAN Yi-bin2, ZHAN Lin1, HE Chu3, XIA Jian-xin1   

  1. 1. College of Life and Environmental Science,Minzu University of China,Beijing 100081,China;
    2. Water Environment Research Department,Chengdu Academy of Environmental Sciences,Chengdu 610072,China;
    3. South-to-North Water Diversion Loop Line Management Office,Beijing Water Authority,Beijing 100176,China
  • Received:2022-11-04 Revised:2022-11-30 Published:2024-04-01 Online:2024-04-01

Abstract: Accurately estimating non-point source pollution load is crucial for developing a standard-meeting water quality plan for the Yanghua River. By employing an improved output coefficient method, we estimated the total non-point source pollution load of Yanghua River small watershed, which is a tributary of the Tuojiang River. In consideration of the proportion of monthly rainfall in annual rainfall, we can obtain the refined estimation data of monthly distribution of non-point source pollution load. Our findings indicate that COD pollution in the watershed was most severe in 2020, with a total pollution load of 6 042.61 t, primarily concentrated in Zhuanlong Town, Zhugao Town, Hefeng Town, Yunlong Town, and Shijia Town. Non-point sources such as rural dispersed areas and large-scale livestock and poultry farming contributed significantly to pollutants such as COD, ammonia nitrogen, and total phosphorus. Additionally, we successfully obtained the preliminary monthly distribution of non-point source pollution load within the year. These results demonstrated good agreement with measured data, with an average error less than 10%. Overall, our research outcomes provide essential data support for the refined management of water environment in the basin.

Key words: estimation of non-point source pollution, pollution load distribution, improved export coefficient method, Yanghua River Basin

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