Flood Risk Mapping From Orbital Remote Sensing

G. Brakenridge
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引用次数: 16

Abstract

Standardized methods for flood risk evaluation in the United States were developed by the United States Geological Survey over more than a century [Klingeman, 2005; Wahl et al., 1995]. They use an extensive network of river gauging stations and associated time series of annual flood peak discharge; many of these extend for 50–100 years. To meet regulatory and insurance requirements, flood risk assessments must be not only objective and scientifically defensible, but also uniformly applicable across highly variable hydrological regimes. The results are commonly subject to legal challenges as property owners contest the level of risk assigned; consistency of method is thus critical. Through these standard methods, risk is modeled: a flood discharge of particular calculated recurrence interval is routed through the channel and across the landscape via regulatory agency‐approved hydrodynamic models such as HEC‐RAS [FEMA, 2002]. Many developed nations outside the United States have similar risk evaluation methodologies. Quite commonly, a “100‐year” discharge and associated floodplain are defined: this floodplain is the land area along a river where, at its margins, a 1% annual exceedance probability is calculated for inundation by floodwater (interior por­ tions may experience much higher inundation frequencies). Thus, the probability Pe that one or more floods occurring Dartmouth Flood Observatory CSDMS/INSTAAR, University of Colorado, Boulder, Colorado, USA ABSTRACT
基于轨道遥感的洪水风险制图
一个多世纪以来,美国地质调查局(United States Geological Survey)开发了美国洪水风险评估的标准化方法[Klingeman, 2005;Wahl et al., 1995]。他们使用广泛的河流测量站网络和相关的年度洪峰流量时间序列;其中许多可以延续50-100年。为了满足监管和保险要求,洪水风险评估不仅必须是客观的和科学的,而且必须统一适用于高度可变的水文制度。由于业主对所分配的风险水平提出异议,结果通常会受到法律挑战;因此,方法的一致性至关重要。通过这些标准方法,对风险进行建模:通过监管机构批准的水动力学模型,如HEC - RAS [FEMA, 2002],计算出特定复发间隔的洪水通过河道并穿过景观。美国以外的许多发达国家也有类似的风险评估方法。通常,“100年”的流量和相关的洪泛区被定义为:洪泛区是沿河流的土地区域,在其边缘,每年被洪水淹没的概率超过1%(内陆部分可能经历更高的淹没频率)。因此,美国科罗拉多州博尔德市科罗拉多大学达特茅斯洪水观测站CSDMS/INSTAAR,一次或多次洪水发生的概率为Pe
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