Establishing a Flood Hazard Vulnerability Assessment Model— A Case of The Shijhih City

博士 === 中國文化大學 === 地學研究所 === 96 === The aim of this research attempts to establish flood hazard vulnerability assessment model. On reviewing of references, using in-depth interview method and acquiring published governmental statistical data, taking physical and social vulnerability score to establ...

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Bibliographic Details
Main Authors: Huan-Chang Hsiao, 蕭煥章
Other Authors: Chang-Yi David Chang
Format: Others
Language:zh-TW
Published: 2008
Online Access:http://ndltd.ncl.edu.tw/handle/73729811932790462848
Description
Summary:博士 === 中國文化大學 === 地學研究所 === 96 === The aim of this research attempts to establish flood hazard vulnerability assessment model. On reviewing of references, using in-depth interview method and acquiring published governmental statistical data, taking physical and social vulnerability score to establish place vulnerability score. On this method, proceeding on the vulnerability assessment for Taiwan island by county, by hundreds of square kilometers, and for Taipei county by city, by tens of square kilometers for verification. Comparing with the history floods, the physical, social and place vulnerability score are consistent with those flooding cases. Proving this method is meeting the requirement of implementation. For the Shijhih city by villages (city districts), smaller spatial unit by square of kilometers, are applying to create the flood hazard vulnerability assessment model. For physical vulnerability assessment, NCDR’s flood potential areas and number of households suffered by typhoon Nari’s flooding in the Shijhih city are taken to calculate physical vulnerability score. For social vulnerability assessment, nine social variables are included, i.e. female, number of households, the population, the poor, the elderly living alone, the disability, the age under 14, the age over 65 and the illiterate, which are acquiring from the reference reviewing, in-depth interview, Cutter’s SoVI (social vulnerability index) and statistical data available. Social vulnerability is created by summing up the score of nine variables. For place vulnerability assessment, multiple physical vulnerability and social vulnerability score, place vulnerability is created. These vulnerability scores are divided into five rankings by the natural breaks method of classification. The relative vulnerability of study area spatial distribution will be shown on GIS format. The conclusion of this research as follows, 1.The most vulnerable counties for Taiwan island are Tainan county, Yunlin county, Changhua county, Taipei county and Pingtung county. 2.The most vulnerable cities for Taipei county are Shijhih city, Sinjhuang city, Banciao city and Jhonghe city. 3.The most vulnerable villages for Shijhih city are Ciaodong, Hengke, Sinchang, Jiangbei, Jhongsiao, Baochang, Jhongsing, Sioufong and Huguang village. Overlaying place vulnerability ranking and flood potential map with the address of critical infrastructure and special needs population/place, there are 2,027 special needs populations/places, that mean 28% located at the eight most place vulnerable villages. There are also 118 special needs populations/places located at the flood potential area. It will be easy for the emergency managers taking the first priority and responding to flood hazard by identifying the multiple vulnerabilities and the most vulnerable in the Shijhih city’s villages, by examining their proximity to flood potential area. Compared to Cutter’s SoVI study, result of this study is based on vulnerability of village by square kilometers instead of county by thousands of square kilometer, and place vulnerability is easy to identify by spatial distribution. The conclusion of this research is worth implementing and practicing in other cities in Taiwan.