首页> 外文期刊>Transactions of the ASABE >Comparison of Four Models (STEPL, PLOAD, L-THIA, and SWAT) in Simulating Sediment, Nitrogen, and Phosphorus Loads and Pollutant Source Areas
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Comparison of Four Models (STEPL, PLOAD, L-THIA, and SWAT) in Simulating Sediment, Nitrogen, and Phosphorus Loads and Pollutant Source Areas

机译:四种模型(STEPL,PLOAD,L-THIA和SWAT)在模拟泥沙,氮和磷负荷和污染物源区域中的比较

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摘要

This study compared the utility and results of four watershed models that include water quality elements: Spreadsheet Tool for Estimating Pollutant Load (STEPL), a GIS-based model to calculate pollutant loads for watersheds (PLOAD), Long-Term Hydrologic Impact Assessment (L-THIA), and ArcGIS Soil and Water Assessment Tool (ArcSWAT). These models are different in their levels of complexity, data requirements, time step, and simulation techniques. Therefore, different scenarios were conducted to test some of the standard applications of each model based on data quality and model capabilities. Climatological, land use, and soil datasets as well as flow rates, sediment, nitrate, and total P concentrations were collected for the Pomona Lake watershed inKansas over 30 years. Stakeholders' information was integrated into the models to the extent possible. Using results obtained from STEPL, L-THIA, PLOAD, and uncalibrated ArcSWAT for estimating long-term (30 years) average pollution loads in a watershed can result in incorrect load estimation. In addition, the STEPL, L-THIA, and PLOAD models may not be the most reliable in identifying pollutant source areas in a watershed. Therefore, in the context of effective resource allocation, use of simple models (such as STEPL, L-THIA, and PLOAD) is not suggested for critical source area targeting for watershed planning if the nature of the problem is complex. However, the simple models can still be used to evaluate relative contribution of different land uses tooverall pollution loads.
机译:这项研究比较了包含水质要素的四个流域模型的效用和结果:用于估算污染物负荷的电子表格工具(STEPL),用于计算流域污染物负荷的基于GIS的模型(PLOAD),长期水文影响评估(L -THIA)和ArcGIS土壤与水评估工具(ArcSWAT)。这些模型在复杂性,数据要求,时间步长和仿真技术方面有所不同。因此,基于数据质量和模型功能,进行了不同的场景来测试每个模型的某些标准应用程序。在过去的30年中,为堪萨斯州的波莫纳湖流域收集了气候,土地利用和土壤数据集,以及流速,沉积物,硝酸盐和总磷浓度。利益相关者的信息已尽可能集成到模型中。使用从STEPL,L-THIA,PLOAD和未经校准的ArcSWAT获得的结果来估算流域中的长期(30年)平均污染负荷,可能会导致错误的负荷估算。此外,在识别流域中的污染物源区域时,STEPL,L-THIA和PLOAD模型可能不是最可靠的模型。因此,在有效资源分配的情况下,如果问题的性质很复杂,则不建议将简单模型(例如STEPL,L-THIA和PLOAD)用于流域规划的关键源区域。但是,仍然可以使用简单的模型来评估不同土地利用对总体污染负荷的相对贡献。

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