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Runoff Storage Potential of Drained Upland Depressions on the Des Moines Lobe of Iowa

机译:IOWA的DES MOINES LOBE的排水隆起的径流存储潜力

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We present estimates of the volumetric storage capacities of currently drained upland depressions and catchment depressional specific storage and runoff storage indices for the Des Moines Lobe of Iowa (DML-IA) subregion of the Prairie Pothole Region of North America. Storage capacities were determined using hydrologically enforced Light Detection and Ranging-derived digital elevation models, and a unique geoprocessing algorithm. Depressional specific storage was estimated for each 12-digit Hydrologic Unit Code (HUC12) watershed in the region from total catchment-specific depressional storage volume and catchment area. Runoff storage indices were calculated using catchment depressional specific storage values and estimates of the amount of rainfall likely to fall within each watershed during sub-annual and 1-, 2-, 5-, and 10-year 24-h events. The 173,171 identified drained depressions in the DML-IA can store up to 903.5 Mm(3) of runoff. Most of this capacity is in depressions located in the north of the region. Specific storage varies from nearly 109 mm in the younger landscapes to 10 mm in older more eroded areas. For 95% of the HUC12 watersheds comprising the region, depressional storage will likely be exhausted by rainfall-derived runoff in excess of a 1-year 24-h event. Rainfall amounts greater than a 5-year 24-h event will exceed all available depressional storage. Therefore, the capacity of drained depressions in the DML-IA to mitigate flooding resulting from infrequent, but large, storm events is limited.
机译:我们展示了当前排水的普通洼地和集水区的容量存储能力和北美洲北美洲北美洲北极地区的IOWA(DML-IA)次区域的呼吸抑郁特定储存和径流存储指数的估计。使用水文强制光检测和测距衍生的数字高度模型以及独特的地理处理算法确定存储容量。从总集水区特定的抑制储存体积和集水区估计该区域中的每个12位水文单位代码(HUC12)流域估计了凹陷特异性储存。径流存储指数使用集水抑制特定的储存值计算,并在亚年度和1-,2-,5-和10年的24小时活动期间落在每个流域内的降雨量的估计。 173,171识别DML-IA中的排水凹陷可存储高达903.5毫米(3)次径流。大多数这种能力都是位于该地区北部的萧条。特定储存在较年轻的景观中的近109毫米变化至更老的较大区域的<10毫米。对于包含该地区的95%的Huc12流域,抑郁储存可能会通过降雨衍生的径流来耗尽超过1年的24小时事件。降雨量大于5年的24小时活动将超过所有可用的抑郁仓库。因此,DML-IA中排出的萧条的能力减轻了不常见的洪水,而且大量的风暴事件有限。

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