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EXPOSURE and Vulnerability Assessment of Buildings Extracted from LiDAR Derived Datasets in Bucao River Floodplains, Zambales, Philippines

机译:菲律宾桑巴莱斯布考河洪泛区从LiDAR衍生数据集中提取的建筑物的暴露和脆弱性评估

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The Philippines has a geographic and geological setting that make it prone to various hazards including weather and climate-related. It is usually strongly affected by monsoon and typhoon occurrences that cause floods due to torrential rains that causes great risks in man's life and properties, resulting in a significant national loss. Strategies for disaster prevention to protect human lives, properties and social infrastructure is therefore necessary. Different important parameters in disaster risk management such as earth observations, Light Detection and Ranging and Geographic Information System were integrated and utilized in this study. This study dealt with mapping and assessment of buildings that might possibly be exposed and vulnerable to flooding based on the simulated flood maps at different rainfall scenarios in Bucao River Basin. The assessment was done through GIS overlay analysis of the CLSUPHIL-LiDAR 1 Project outputs, the 3D building GIS database and flood hazard maps. Results of this study were series of maps with statistics at different rainfall scenarios. From 23,097 building features extracted, 10,118 buildings, 4,258 buildings and 7,433 buildings were the identified highest number of buildings exposed to flooding and a total of 2,427 buildings, 3,914 buildings and 7,204 buildings from the exposed were identified that had high vulnerabilities in terms of height at low, medium and high hazards of 100 year return period, respectively. Through these maps, it is easier to disseminate information that is more realistic to the residents about the hazardous areas and to help them act on warning and evacuating measures.
机译:菲律宾的地理和地理环境使其容易受到各种灾害的影响,包括与天气和气候有关的灾害。它通常受到季风和台风的强烈影响,由于暴雨造成洪水,给人类的生命和财产造成巨大风险,从而造成重大的国家损失。因此,有必要采取预防灾害的战略来保护人类的生命,财产和社会基础设施。这项研究整合并利用了在灾害风险管理中不同的重要参数,例如对地观测,光探测与测距和地理信息系统。本研究基于布考河流域不同降雨情景下的模拟洪水图,对可能暴露于水灾和易受洪水侵袭的建筑物进行制图和评估。通过对CLSUPHIL-LiDAR 1项目输出的GIS叠加分析,3D建筑GIS数据库和洪水灾害地图进行评估。这项研究的结果是一系列具有不同降雨情景下的统计数据的地图。从提取的23,097个建筑物特征中,确定有10,118座建筑物,4,258座建筑物和7,433座建筑物是遭受洪水侵袭的最高建筑物,并且从该暴露的建筑物中总共发现了2,427座建筑物,3,914座建筑物和7,204座建筑物,这些建筑物在高度上的脆弱性很高。 100年回归期的低,中和高危害。通过这些地图,可以更容易地传播对居民更现实的有关危险区域的信息,并帮助他们采取警告和疏散措施。

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