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Determining Soil Water Characteristics for Application of WEPP Model in South Florida

机译:利用WEPP模型在南佛罗里达州确定土壤水分特征

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Knowledge of soil water characteristics, such as soil hydraulic conductivity, soil erodibility, and soil water retention, are required for the application of a surface hydrology model in south Florida. However, these data are limited for the soils of south Florida. Also, there are no standard methods for determining soil hydraulic properties such as saturated hydraulic conductivity, erodibility, and water retention values. The objectives of this study were: 1) to calculate soil erodibility using results from rainfall simulation; 2) to compare different methods for calculating soil hydraulic conductivity, soil erodibility, and soil water retention values; and 3) to evaluate how the results from these different methods would affect evapotranspiration, storm water runoff, crop growth, and soil erosion in the model. Three typical soils from the region were used for this study: Krome (sandy loam, moderately well drained), Chekika (silty clay loam, poorly drained), and Perrine Marl (sandy loam, very poorly drained). Field research (including model calibration and rainfall simulation) was used to determine soil water parameters. While using various methods to determine soil parameters (calibrated, measured, and estimated) in a hydrologic model, significant discrepancies of simulated hydrologic variables were observed. Therefore, caution should be exercised when predicting critical parameters for hydrologic models. If a model, such as the Everglades Agro-Hydrology Model (EAHM), is used for comparison of different management practices, slight errors in estimated parameters are acceptable. However, if the model is used to assess possible changes in the hydrologic regime of south Florida, the accuracy of simulated values is important and in need of further investigation
机译:要在佛罗里达州南部应用地表水文学模型,需要了解土壤水分特征,例如土壤水力传导率,土壤易蚀性和土壤水分保持能力。但是,这些数据仅限于佛罗里达州南部的土壤。而且,没有确定土壤水力特性的标准方法,例如饱和水力传导率,可蚀性和保水率。这项研究的目的是:1)利用降雨模拟的结果计算土壤的可蚀性; 2)比较计算土壤水力传导率,土壤易蚀性和土壤保水值的不同方法; 3)评估模型中这些不同方法的结果如何影响蒸散量,雨水径流,作物生长和土壤侵蚀。这项研究使用了该地区的三种典型土壤:Krome(砂壤土,排水良好),Chekika(粉质粘土壤土,排水不良)和Perrine Marl(砂壤土,排水非常不良)。现场研究(包括模型校准和降雨模拟)用于确定土壤水分参数。在使用各种方法确定水文模型中的土壤参数(校准,测量和估计)的同时,观察到的模拟水文变量存在显着差异。因此,在预测水文模型的关键参数时应谨慎行事。如果使用模型(例如大沼泽地农业水文模型(EAHM))比较不同的管理方法,则可以接受估计参数中的细微误差。但是,如果使用该模型评估南佛罗里达州水文状况的可能变化,则模拟值的准确性很重要,需要进一步研究

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