Flood Risk Assessment Using Principal Component Analysis for Keelung City

• Main Authors: Hung, Hsuan-Wei, 洪宣微
• Other Authors: Cheng-Yu Ku
• Format: Others
• Language: zh-TW
• Published: 2019
• Online Access: http://ndltd.ncl.edu.tw/handle/zs536m

碩士 === 國立臺灣海洋大學 === 河海工程學系 === 107 === Flood is one of the major natural and human-induced hazards mostly by the transformation of the natural condition. The frequency of flood compared with other disaster is rapidly increasing and posing a serious threat to human life and loss property. Mitigation of flood disaster is a global concern mainly due to urbanization and climate change. In case of limited resources in Taiwan, how to decrease flood loss and to promote the sustainable use of land are a crucial issue to ensure sustainable development of natural environmental resources. In this context, we address this problem by disaster risk analysis, which first collects the basic information in Keelung City. The study conducts the flood disaster, susceptibility, vulnerability, and resilience. The hazard and vulnerability of flood disaster are analyzed and the results are brought into the risk matrix to produce a risk map. Weight is an important part of risk analysis. In this study, we conducted a flood risk assessment using principal component analysis(PCA), in which PCA is a mathematical procedure that transforms a number of possibly correlated variables into a number of uncorrelated variables called principal components. Through the PCA, we obtained the dominate factors from vulnerable and susceptible groups for the risk analysis. The principal component analysis has more advantage with accelerated in process, low error and can improve the discrimination of analysis results compare with the analytic hierarchy process. In addition, demonstrate that high-risk areas for flood in this study area are mainly located around the rivers/drainage system in Keelung City. It can be concluding that very important to put more attention to prevent flood disaster especially for the districts or places near the rivers system. It is expected that results from this study can be used to propose the measures and the elaboration of adaptation strategies.