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    Assessment of a Regional Flood Disaster Indicator via an Entropy Weighting Method

    Source: Natural Hazards Review:;2018:;Volume ( 019 ):;issue: 002
    Author:
    Chen Zhi-Mou;Yeh Yi-Lung;Chen Ting-Chien
    DOI: 10.1061/(ASCE)NH.1527-6996.0000280
    Publisher: American Society of Civil Engineers
    Abstract: With the limited resources for disaster prevention and reduction, it is crucial that a flooding disaster hazard level is established. Therefore, this study establishes the flooding disaster indicator (FDI), which serves as the basis for determining the hazard levels of flooded regions. The first step was to analyze the historical flooding data. Normalization factors were obtained in accordance with the characteristics of the various data. In turn, the normalization factors were analyzed for their entropy, which determined a weighting value. Finally, various factors were integrated into the FDI based on their weighting values. When real disaster events were surveyed, the proposed FDI had a positive correlation with the ratio of flooding area to total village area and a FDI>.6. Predicted affected households were significantly increased. The FDI can categorize the regional differences in the extent of flood hazards.
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      Assessment of a Regional Flood Disaster Indicator via an Entropy Weighting Method

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    contributor authorChen Zhi-Mou;Yeh Yi-Lung;Chen Ting-Chien
    date accessioned2019-02-26T07:48:23Z
    date available2019-02-26T07:48:23Z
    date issued2018
    identifier other%28ASCE%29NH.1527-6996.0000280.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4249525
    description abstractWith the limited resources for disaster prevention and reduction, it is crucial that a flooding disaster hazard level is established. Therefore, this study establishes the flooding disaster indicator (FDI), which serves as the basis for determining the hazard levels of flooded regions. The first step was to analyze the historical flooding data. Normalization factors were obtained in accordance with the characteristics of the various data. In turn, the normalization factors were analyzed for their entropy, which determined a weighting value. Finally, various factors were integrated into the FDI based on their weighting values. When real disaster events were surveyed, the proposed FDI had a positive correlation with the ratio of flooding area to total village area and a FDI>.6. Predicted affected households were significantly increased. The FDI can categorize the regional differences in the extent of flood hazards.
    publisherAmerican Society of Civil Engineers
    titleAssessment of a Regional Flood Disaster Indicator via an Entropy Weighting Method
    typeJournal Paper
    journal volume19
    journal issue2
    journal titleNatural Hazards Review
    identifier doi10.1061/(ASCE)NH.1527-6996.0000280
    page5018002
    treeNatural Hazards Review:;2018:;Volume ( 019 ):;issue: 002
    contenttypeFulltext
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