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Effect of Spatial and Temporal Variability of Antecedent Moisture Content on Model-Generated Runoff from an Arid Watershed

机译:前含水量的时空变化对干旱流域模型产生的径流的影响

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The objectives of the research are to determine the importance and impact of spatial and temporal variation of soil hydraulic properties on calculated runoff volumes. The study also addresses the importance of storm frequency and its relationship to rainfall/runoff processes and spatial variation of soil hydraulic properties. A pedo-transfer function, based on soil physical properties, was developed to predict the variation of antecedent moisture content (AMC) with increasing time between storm events. The effective hydraulic conductivity (K_(eff)) was evaluated at a value of half the calculated saturated hydraulic conductivity. The AMC was varied for three different scenarios on 7 individual soil surfaces located within a 228 km~2 (88 mi~2) arid watershed in the Mojave Desert. The modeling software packages used for the study were Rosetta, HYDRUS-1D, and FLO-2D. All data were geospatially rectified on the watershed (using ArcGIS) to account for the spatial variation of the soil parameters. Temporal variation of water content on each soil surface was evaluated using atmospheric demand and the soil properties over a 5-day period. The results show that the spatial variability of K_s and AMC have considerable effect on predicted flowrates due to varied precipitation and varied soil water content, which for the upper watershed were shown to increase as storm frequency decreases (i.e., return interval increases). As the drying time increases from 1 to 5 days, the calculated runoff reduces 46 percent (at the upper watershed) for the 100-year models. The model shows that the floodwave from upstream does progress to the outfall for the 500-year event; however, the majority of run-on and runoff infiltrates on the lower portion of the watershed for the 100-year and higher frequency events.
机译:该研究的目的是确定土壤水力特性的时空变化对径流量的重要性和影响。该研究还讨论了风暴频率的重要性及其与降雨/径流过程和土壤水力特性的空间变化的关系。根据土壤的物理特性,开发了一种脚踏传递函数,以预测暴风雨之间间隔时间的增加,从而预测先前含水量(AMC)的变化。有效水力传导率(K_(eff))的计算值为饱和水力传导率的一半。在莫哈韦沙漠228 km〜2(88 mi〜2)干旱流域内的7个单独土壤表面上,AMC针对三种不同情况进行了变化。用于研究的建模软件包为Rosetta,HYDRUS-1D和FLO-2D。所有数据都在分水岭上进行了地理空间校正(使用ArcGIS),以说明土壤参数的空间变化。使用大气需求和5天期间的土壤特性,评估了每个土壤表面的水含量随时间的变化。结果表明,由于降水和土壤水分含量的变化,K_s和AMC的空间变异性对预测的流量有相当大的影响,对于上游流域,随着风暴频率的降低(即回程间隔的增加),这表现出增加的趋势。随着干燥时间从1天增加到5天,对于100年模型,计算得出的径流量减少了46%(在上游分水岭处)。该模型显示,从上游来的洪水波确实向着500年事件发展到了排污口。然而,对于100年和更高频率的事件,大多数径流径流都渗入流域的下部。

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