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Department Disaster Prevention Research Division
Date 2017
Name of Journal Journal of the Korean Society of Hazard Mitigation
Title Development of Multivariate Flood Damage Function for Flood Damage Assessment in Gunsan City, Korea
Author Yu, Insang, Necesito, Imee V., Kim, Hayong, Cheong, Tae Sung, Jeong, Sangman
Type 국내저널
Abstract Despite the growing economy and improving disaster prevention techniques of Korea, natural disasters such as floods, typhoon,
drought have still threatened people. The counteractions made by flood disasters that were also induced by typhoons have caused
significant damages to properties and human life. Estimating flood damage is essential make countermeasures in order to mitigate
flood disaster. In this regard, the Ministry of Safety and Security (MPSS), the government institution designated to assess and
analyze the damages and losses as well as evaluate the disaster risks of the said areas in accordance to their disaster risk management
plans, are now developing a new estimating method for damages and losses. This study aims to develop flood damage functions
that will estimate the flood damages of Gunsan City based on the building type: residential, commercial and agricultural facilities,
by utilizing the Ordinary Least Squares Regression (OLS) and later on, the Geographically Weighted Regression (GWR). The model
building process includes flood depth, flood duration, inundated area, family income and land price as the parameter variables.
Both OLS and GWR were evaluated in this study, but the search for which among them is the ‘best fit’ resulted to the use of
GWR.
Keyword Flood Damage Function, Geographically Weighted Regression, Ordinary Least Squares Regression
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