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首页> 外文期刊>International journal of remote sensing >Estimation of global SCS curve numbers using satellite remote sensing and geospatial data
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Estimation of global SCS curve numbers using satellite remote sensing and geospatial data

机译:使用卫星遥感和地理空间数据估算全球SCS曲线数

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摘要

The Soil Conservation Service Curve Number (SCS CN) method is an efficient and widely used method for determining the direct runoff (effective rainfall) from a storm event for flood disaster assessment (rainfall-runoff modelling). The CN can be estimated based on the area's hydrologic soil group (HSG), land use/ cover, and hydrologic condition. The two former factors are of greater importance in determining the CN value. This study reports an attempt to derive a global CN map. First, HSG was classified from digital soil maps. Second, CN was estimated as a function of HSG, land-cover classification, and hydrologic conditions according to USDA (1986) and NEH-4 (1997) standard lookup tables. Potential applications of this CN map may include real-time global flood assessment by incorporating an operational multisatellite precipitation estimation system.
机译:水土保持服务曲线编号(SCS CN)方法是一种有效且广泛使用的方法,用于确定风暴事件的直接径流(有效降雨),以进行洪灾评估(降雨径流建模)。可以基于该地区的水文土壤组(HSG),土地使用/覆盖率和水文状况来估算CN。前两个因素在确定CN值时更为重要。这项研究报告了尝试导出全球CN地图的尝试。首先,从数字土壤图对HSG进行分类。其次,根据USDA(1986)和NEH-4(1997)标准查询表,CN被估计为HSG,土地覆盖分类和水文条件的函数。该CN地图的潜在应用可能包括通过合并多卫星降水估算系统来进行实时全球洪水评估。

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