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Upland Erosion Modeling In A Semihumid Environment Via The Water Erosion Prediction Project Model

机译:基于水蚀预测项目模型的半湿润地区高地侵蚀模型

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摘要

The major water quality impairment in the midwest United States is sediment eroded from agricultural lands.Yet,few understand the spatial and temporal variability of erosion,or soil erosion dynamics,in relation to precipitation,topography,land man-agement,and severe events.The objectives of this paper are to (1) develop a methodology for estimating long-term spatial soil erosion and water runoff losses and (2) explore issues in applying an established physical-based process model,Water Erosion Prediction Project (WEPP),to a large area by establishing a prototype system for the state of Iowa.This study for the first time provides a comparison of the model predictions against long-term measurements of the sediment delivery ratio (SDR) in the South Amana Catchment of the Clear Creek Watershed (CCW),a heavily instrumented watershed that is roughly 10 times the maximum WEPP fold size.To further examine the performance of WEPP in a semihumid environment,such as the CCW,where runoff and raindrop impact to erosion may be significant,the SDR was plotted as a function of the runoff coefficient,defined as the runoff/rainfall ratio.In addition,the WEPP predictions are compared against the statistical relation of SDR vs.runoff coefficient developed by Piest et al.in 1975) for watersheds in Iowa.It is shown that WEPP follows the trend shown by Piest et al.quite closely and performs well for continuous simulations extended up to 300 years.
机译:美国中西部地区主要的水质损害是从农业土地上侵蚀下来的沉积物。但是,很少有人了解侵蚀的时空变化或土壤侵蚀动态,与降水,地形,土地管理和严重事件有关。本文的目的是(1)开发一种估算长期空间土壤侵蚀和水径流损失的方法,以及(2)探索在将已建立的基于物理的过程模型,水蚀预测项目(WEPP)应用于水处理中的问题。通过建立爱荷华州的原型系统,在大面积上进行研究。本研究首次将模型预测与对Clear Creek流域南Amana集水区的沉积物输送比(SDR)的长期测量进行了比较。 (CCW),这是一个仪器密集的分水岭,大约是最大WEPP折叠大小的10倍。要进一步检查WEPP在半湿润环境(例如,有径流和降雨的CCW)中的性能作物对侵蚀的影响可能很大,将SDR绘制为径流系数的函数,定义为径流/降雨比。此外,将WEPP预测与Piest等人开发的SDR与径流系数的统计关系进行了比较1975年)在爱荷华州的流域,结果表明WEPP紧随Piest等人显示的趋势,并且在长达300年的连续模拟中表现良好。

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