JDR Vol.15 No.3 pp. 242-255
doi: 10.20965/jdr.2020.p0242


Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar

Shelly Win*,†, Win Win Zin*, and Akiyuki Kawasaki**

*Department of Civil Engineering, Yangon Technological University
Gyogone, Insein Road, Yangon 11011, Myanmar

Corresponding author

**Department of Civil Engineering, School of Engineering, The University of Tokyo, Tokyo, Japan

July 17, 2019
February 20, 2020
March 30, 2020
flood damage estimation, agriculture, stage-damage function, reducing damage cost

This paper introduces an integrated model that combines the Rainfall Runoff Inundation (RRI) and spatially distributed flood damage estimation models. There are three steps for fulfilling this purpose. The first step is the accomplishment of RRI model for the floodplain region. The second step is a questionnaire survey to analyze the economic damage to affected population and properties caused by the past flooding events; this step aims to estimate the different levels of agricultural damage cost. Finally, the economic flood damage estimation model was developed for the agricultural areas by using the stage-damage function models which were established by the multiple regression analysis of questionnaire survey data. The model results were expressed through spatially distributed flood damage maps for extreme flood events, such as those in 2014, 2015, and 2018. The results were validated by collecting damage cost data from the Department of Agricultural Lands Management and Statistics (DALMS). The final findings included comparative scenarios for reducing damage cost in the most effective and realistic way. The output product was the agricultural damage estimation model. For further research, the model was recommended for application in other study areas with different flood scales.

Cite this article as:
S. Win, W. Zin, and A. Kawasaki, “Development of Flood Damage Estimation Model for Agriculture – Case Study in the Bago Floodplain, Myanmar,” J. Disaster Res., Vol.15 No.3, pp. 242-255, 2020.
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