Japan Geoscience Union Meeting 2024

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[E] Oral

M (Multidisciplinary and Interdisciplinary) » M-IS Intersection

[M-IS06] Extreme Weather and Water Related Disasters in Asia

Fri. May 31, 2024 3:30 PM - 4:45 PM 104 (International Conference Hall, Makuhari Messe)

convener:Hisayuki Kubota(Hokkaido University), Mitsuteru Sato(Department of Cosmoscience, Hokkaido University), Harkunti Pertiwi Rahayu(Institute Technology of Bandung), Marcelino Q. Villafuerte II(Philippine Atmospheric, Geophysical and Astronomical Services Administration), Chairperson:Mitsuteru Sato(Department of Cosmoscience, Hokkaido University), Hisayuki Kubota(Hokkaido University), Harkunti Pertiwi Rahayu(Institute Technology of Bandung)


4:30 PM - 4:45 PM

[MIS06-11] Building Flood Exposure Assessment using Hydrologic-Hydraulic Model and Google Earth Engine

*Badri Bhakta Shrestha1, Mohamed Rasmy1, Takafumi Shinya1 (1.International Centre for Water Hazard and Risk Management, Public Works Research Institute, Tsukuba, Japan)

Keywords:extreme flood events, Southeast Asia, WEB-RRI model, GEE, building footprint, exposures

Extreme flood events have been increasing in trend in various parts of the world due to climate and social changes. Simultaneously, exposures in floodplain areas are also increasing by putting higher exposed values in threats, due to population growth and development activities. Therefore, it is crucial to quantify flood exposures and understand the risk of exposed values in flood-prone areas, which will help in managing and mitigating the impact of floods on socio-economic status. This study presented an approach for quantifying building flood exposures in flood-prone areas using a hydrologic-hydraulic model and Google Earth engine, focusing on the Solo River basin in Indonesia. The flood simulation was conducted using the Water and Energy Budget-based Rainfall-Runoff-Inundation Model (WEB-RRI), and the building footprint data were extracted using the Google Earth engine platform. The building flood exposures were assessed using Microsoft and Google building footprint data for extreme flood events of different return periods. The exposed buildings with different flood depths were also analyzed. In addition, we also quantified the potential household damage due to extreme flood events. The trend of population changes in flood-prone areas was also analyzed using globally available population data. The results of this study can be useful for establishing prevention measures and policies required for the reduction of flood disasters. The approaches of building flood exposure assessment and household damage quantification can be used in other areas to assess flood exposure and damage quantification.

Acknowledgments: This work is supported by the Advanced Studies of Climate Change Projection (SENTAN), funded by the Ministry of Education, Culture, Sports, Science and Technology (MEXT), Japan.