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首页> 外文期刊>Turkish Journal of Agriculture & Forestry >Comparison of erosion and runoff predicted by WEPP and AGNPS models using a geographic information system
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Comparison of erosion and runoff predicted by WEPP and AGNPS models using a geographic information system

机译：使用地理信息系统比较WEPP和AGNPS模型预测的侵蚀和径流

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摘要

The Water Erosion Prediction Project (WEPP) model and the Agricultural Non-Point-Source Pollution Model (AGNPS) were used in conjunction with a geographical information system (GIS) database to predict runoff and sediment discharges for Rock Creek watershed, an agricultural watershed in Ohio, USA. Observed and predicted values were compared for selected storm events in 1988 and 1990. The statistical evaluation of the WEPP and AGNPS models showed that WEPP predicted average runoff, peak runoff and sediment yield better than AGNPS. WEPP and AGNPS overpredicted peak runoff rates compared to observed data by 15.5 and 26.5%, respectively. The t-test showed that there was no significant statistical difference between measured and predicted runoff and sediment data for both models (at _=0.05 level). The average root mean square error between observed and predicted average runoff was 11.5 and 14 m3 s-1 for WEPP and AGNPS, respectively. While AGNPS underestimated average sediment discharge by 17%, WEPP overestimated average sediment load by 37%. With careful parameterization, the study demonstrated that WEPP and AGNPS could be used to simulate runoff and sediment in agricultural watersheds.
机译：水蚀预测项目（WEPP）模型和农业面源污染模型（AGNPS）与地理信息系统（GIS）数据库结合使用，以预测Rock Creek流域（美国农业流域）的径流和泥沙排放量美国俄亥俄州。比较了1988年和1990年选定暴风雨事件的观测值和预测值。WEPP和AGNPS模型的统计评估表明，WEPP预测的平均径流量，峰值径流量和泥沙产量均优于AGNPS。与观测数据相比，WEPP和AGNPS高估了径流率，分别高出15.5和26.5％。 t检验表明，两种模型的实测径流和泥沙数据之间的统计差异均无统计学意义（在_ = 0.05水平）。对于WEPP和AGNPS，观测到的和预计的平均径流量之间的平均均方根误差分别为11.5和14 m3 s-1。虽然AGNPS低估了平均泥沙排放量17％，而WEPP高估了平均泥沙负荷37％。通过仔细的参数化，研究表明WEPP和AGNPS可用于模拟农业流域的径流和沉积物。

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