英文摘要 |
Global climate change has affected our environment and increased the frequency of flooding disasters. To strengthen disaster management, flood risk assessment provides a systematical analysis to assess the elements of flooding disaster. The risk assessment for flooding disaster is an essential issue for disaster reduction. This study intends to explore whether risk indicators can influence the probability of occurrence of floods. This work first applies hotspot analysis to reveal the spatial distribution and cluster of each risk indicator. Logistic regression is then adopted to build a model and explore the relationships between risk indicators and flooding events. Finally, geographically weighted logistic regression is used to analyze the spatial heterogeneity phenomenon in the last part. Analytical results indicate that the logistic model has approximately 60.9% accuracy in the study area. A positive correlation is found between flooding events and inundation potential area percentage, while minority groups have a negative correlation with flooding events. Moreover, the geographically weighted logistic regression approach has better goodness-of-fit than the original one. This investigation also reveals that the spatial heterogeneity phenomenon still exists in the relationships between risk indicators and flooding events. The results of this work can be utilized as a reference for further flooding adaptation strategies. |