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Assessing the vulnerability of the Mississippi gulf coast to coastal storms using an on line GIS-based coastal risk atlas

机译:在线GIS沿海风险地图集地评估密西西比海岸海岸到沿海风暴的脆弱性

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Natural disaster losses in the U.S. have been estimated to be between USD10 billion and USD50 billion annually, with an average cost from a single major disaster estimated at approximately USD500 million. One of the primary factors contributing to the rise in disaster losses is the steady increase in the population of high-risk areas, such as coastal areas. The population in coastal counties represents more than half of the U.S. population, but occupies only about one-quarter of the total land area. Coastal areas are particularly susceptible to the catastrophic impacts of hazards. Between 1992 and 1997, nearly three-quarters of the federally declared disasters in the U.S. occurred in coastal states or territories [1]. Efforts to mitigate the effects of coastal hazards can be complicated by insufficient information concerning coastal vulnerability. Vulnerability factors include the geologic nature of the coast, the patterns and characteristics of the built environment, and socioeconomic conditions. Providing a better understanding of these factors to allow communities to undertake the most appropriate mitigation strategies provides the rational for developing the Coastal Risk Atlas (CRA). The CRA is under development by the National Oceanic and Atmospheric Administration (NOAA) National Coastal Data Development Center (NCDDC) in collaboration with the NOAA Coastal Services Center (C SC). Its purpose is to deliver an on-line risk/vulnerability atlas for the coastal U.S. using NCDDC information technologies [2] and methodologies proven by the CSC. The project has been initially implemented in two pilot areas, the Mississippi Gulf Coast and Northeast Florida. Based on success and lessons learned, it will be expanded to a larger coastal region, and eventually nationwide. This phased approach enables identification and resolution of technical issues, better identification of necessary data, and determining data inadequacies that could drive future data collection and coastal research initiatives. This paper documents the development of the CPA and its application in the pilot areas.
机译:美国的自然灾害损失估计每年介于10亿美元和500亿美元之间,平均成本从估计约为5亿美元。导致灾害损失增加的主要因素之一是沿海地区等高风险领域人口稳步增加。沿海县的人口代表了一半以上的美国人口,但仅占陆地面积的四分之一。沿海地区特别容易受到灾难性的灾难性影响。在1992年至1997年期间,美国近四分之三的联邦宣布灾害发生在沿海国家或地区[1]。减轻沿海危害的影响的努力可能因沿海漏洞的信息不足而变得复杂。漏洞因素包括海岸的地质性质,建筑环境的模式和特征以及社会经济条件。为允许社区承担最合适的缓解策略提供了更好的理解,为发展沿海风险阿特拉斯(CRA)提供了理性。 CRA是在正下方,与NOAA海岸服务中心(C SC)合作,由美国国家海洋和大气管理局(NOAA)全国沿海数据发展中心(NCDDC)的发展。其目的是为沿海美国提供一条在线风险/漏洞地图集,使用NCDDC信息技术[2]和CSC证明的方法。该项目最初已在两个试点区域,密西西比州海岸和佛罗里达东北部门实施。根据成功和经验教训,它将扩展到更大的沿海地区,最终全国范围内。这种分阶段方法可以识别和解决技术问题,更好地识别必要的数据,并确定可能推动未来数据收集和沿海研究计划的数据不足。本文介绍了CPA的开发及其在试验区的应用。

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