Multivariate Flood Loss Estimation of the 2018 Bago Flood in Myanmar
| Autor: | Zin Mar Lar Tin San, Georg Hörmann, Akiyuki Kawasaki, Ralph Allen Acierto, Win Win Zin, Aye Myat Thu |
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| Rok vydání: | 2020 |
| Předmět: |
Estimation
021110 strategic defence & security studies Multivariate statistics 010504 meteorology & atmospheric sciences Flood myth 0211 other engineering and technologies 02 engineering and technology Stepwise regression 01 natural sciences Flood loss Statistics Environmental science Safety Risk Reliability and Quality Engineering (miscellaneous) 0105 earth and related environmental sciences |
| Zdroj: | Journal of Disaster Research. 15:300-311 |
| ISSN: | 1883-8030 1881-2473 |
| DOI: | 10.20965/jdr.2020.p0300 |
| Popis: | Flood loss models are essential tools for assessing flood risk. Flood damage assessment provides decision makers with critical information to manage flood hazards. This paper presents a multivariable flood damage assessment based on data from residential building and content damage from the Bago flood event of July 2018. This study aims to identify the influences on building and content losses. We developed a regression-based flood loss estimation model, which incorporates factors such as water depth, flood duration, building material, building age, building condition, number of stories, and floor level. Regression approaches, such as stepwise and best subset regression, were used to create the flood damage model. The selection was based on Akaike’s information criterion (AIC). We found that water depth, flood duration, and building material were the most significant factors determining flood damage in the residential sector. |
| Databáze: | OpenAIRE |
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