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在俄亥俄州的中部 Darby Creek流域 ,用 ADAPT模型预测 1991～ 1995年每日的径流数量和质量。ADAPT模型的主要输入参数来源于 MUUF(Map Unit Use File) ,其它参数来源于 ADAPT的辅助模型。辅助模型的输入数据和参数来源于公开出版物和历史气象资料等。研究目的之一是基于两种不同尺度的土壤数据库 STATSGO和 MU IR,比较 ADAPT模型在预报一个水流域的水、泥沙、养分负载的流失精度。研究结果表明 ,水和泥沙的流失预报结果没有显著的差异 ,而养分流失有微小差异 (<5% )。因 MUIR数据库的分辨率远远高于STATSGO,如果在研究一个流域范围内 ,预报结果几乎没有区别或仅有极小的差异 ,使用STATSGO土壤数据将比使用 MU IR节约大量的时间和资源
In the Darby Creek basin of central Ohio, the ADAPT model was used to predict the daily runoff quantity and mass from 1991 to 1995. The main input parameters of the ADAPT model come from the MUUF (Map Unit Use File), and the other parameters come from the ADAPT auxiliary model. The input data and parameters of the support model come from public publications and historical meteorological data. One of the purposes of this study was to compare the accuracy of ADAPT model in predicting water, sediment and nutrient load loss in a watershed based on two different scales of soil database STATSGO and MU IR. The results show that there is no significant difference between the prediction results of water loss and sediment loss, and there is a slight difference (<5%) in nutrient loss. Because the resolution of the MUIR database is much higher than that of STATSGO, the use of STATSGO soil data will save a lot of time and resources over the use of MU IR if there is little or no difference in the forecast results across the study area