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Estimating effective impervious area in urban watersheds using land cover, soil character and asymptotic curve number

机译:利用土地覆盖,土壤特征和渐近曲线数估算城市流域有效不透水面积

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Knowledge of the effective impervious area (EIA) or the degree to which impervious surfaces are hydraulically connected to the drainage system is useful for improving hydrological and environmental models and assessing the effectiveness of green stormwater infrastructure in urban watersheds. The goal of this research is to develop a method to estimate EIA fraction in urban watersheds using readily available data. Since EIA is dependent on rainfall-runoff response and cannot be solely determined based on the physical characteristics of a watershed, the EIA is linked with the asymptotic curve number (CN), a watershed index that represents runoff characteristics. In order for the method to be applicable to ungauged watersheds, the asymptotic CN is predicted using land cover and soil data from 35 urban catchments in Minnesota and Texas, USA. Similar data from 11 other urban catchments in Wisconsin and Texas, USA, are used to validate the results. A set of runoff depth versus EIA fraction curves is also developed to assess the impact of EIA reduction on discharge from an urban watershed in land-use planning studies.
机译:了解有效不透水面积(EIA)或不透水表面与排水系统液压连接的程度,对于改善水文和环境模型以及评估城市流域绿色雨水基础设施的有效性非常有用。这项研究的目的是开发一种使用现有数据估算城市流域环境影响评价分数的方法。由于EIA取决于降雨-径流响应,并且不能仅根据流域的物理特征来确定,因此EIA与渐近曲线数(CN)(代表流域特征的分水岭指数)相关联。为了使该方法适用于未覆盖流域,使用来自美国明尼苏达州和德克萨斯州的35个城市集水区的土地覆盖和土壤数据来预测渐近CN。来自威斯康星州和美国德克萨斯州的其他11个城市集水区的类似数据也用于验证结果。在土地利用规划研究中,还开发了一套径流深度与EIA分数曲线,以评估EIA减少对城市流域排放量的影响。

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