Modeling of Agricultural Nonpoint-Source Pollution Quantitative Assessment: A Case Study in the Mun River Basin, Thailand

文献类型： 外文期刊

第一作者： Zhao, Zhonghe

作者： Zhao, Zhonghe;Liu, Kun;Yu, Bowei;Liu, Gaohuan;Liu, Gaohuan;Wu, Chunsheng;Wang, Youxiao

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关键词： agricultural nonpoint-source pollution; land use patterns; attenuation coefficient; soil nutrient attenuation; water quality

期刊名称：SUSTAINABILITY （ 影响因子：3.9； 五年影响因子：4.0 ）

ISSN：

年卷期： 2023 年 15 卷 13 期

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收录情况： SCI

摘要： Agricultural nonpoint-source pollution (ANPSP) is a key cause of global environmental problems. However, the estimation of ANPSP, based on agricultural land use type, crop management, and attenuation of pollutants with distance, is lacking. Using the Mun River Basin as an example, this study established quantitative response relationships between subbasin flows and hydrological and water quality parameters. A good matching of the monitored sections and the control area based on flow relationships was achieved. By determining flow paths and flow distances, the overland and in-river transport attenuations of ANPSP were clarified. The overland and in-river transport and attenuation parameters were also quantified. The land use distribution and structure were further refined through crop management, which included crop types and crop rotation (monocropping or double cropping). Based on the above procedures, quantitative relationships among land use pattern, crop management, attenuation of pollutants with distance, and river water quality were established and used to construct six kinds of regression models. Among these models, the best modeling results were obtained when the parameters of water quality, land use structure, crop management, and soil nutrient attenuation were included. The modeling accuracy in the dry season increased from 0.398 to 0.881 when information about attenuation with distance and crop management was included. Similarly, the modeling accuracy in the wet season increased from 0.365 to 0.727. This study's findings indicate that the constructed water quality model is effective and has significance for the quantitative determination of ANPSP.

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