Title: Water resource pollution load intensity measurement based on SWAT model

Authors: Zhongfeng Jiang; Xiaohui Li; Xuanxuan Zhang; Weiwei Wang; Haoliang Hou

Addresses: School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467000, China ' Henan Zhongtian Gaoke Testing Technology Service Co., Ltd., Pingdingshan 467000, China ' School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467000, China ' School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467000, China ' School of Municipal and Environmental Engineering, Henan University of Urban Construction, Pingdingshan 467000, China

Abstract: In order to solve the problems of high measurement time-consuming, high deviation and small area in traditional methods, a water resource pollution load intensity measurement based on SWAT model is proposed. Firstly, build a basic database, which contains different types of water resources data. Then, the hydrological characteristic data in the basic database are summarised, and the SWAT model is used to design the water pollution output coefficient model to obtain the change results of water pollution parameters; Finally, the comprehensive pollution index method is used to measure the pollution load intensity of water resources, obtain the standard pollution index, and get the final measurement result. The experimental results show that the water pollution load intensity measurement of this method takes less time, the measurement result deviation is low, and the area that can be measured is large, and the measurement effect is better.

Keywords: SWAT model; water resource; pollution load intensity; standard pollution index; comprehensive pollution index method; attribute data.

DOI: 10.1504/IJETM.2023.127338

International Journal of Environmental Technology and Management, 2023 Vol.26 No.1/2, pp.54 - 65

Received: 21 Oct 2021
Accepted: 14 Feb 2022
Published online: 30 Nov 2022 *