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Development real-time flood modelling technique reflecting regional characteristics of Jeju Island
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Jeju Island is located in the path of typhoons, making it an extremely vulnerable environment to natural disasters. The mountainous effect caused by Mt. Halla. increases the risk of flash flood in rivers and the impact of climate change is worsening the risk on Jeju Island. Nevertheless, its disaster prevention technology in Jeju Island have been relatively lacking, comparing inland areas in Korea. This study developed flood modeling technology that reflects the characteristics of Jeju Island to improve disaster prevention technology in the Jeju Island. First, we developed rainfall scenarios considering the spatial and temporal distribution characteristics of heavy storm in the Jeju Island. AWS data and radar data were used to consider rainfall spatio-temporal characteristics (rainfall amount, duration, movement, spatial distribution, etc.). Second, we used the real-time flood model using inundation and flood risk index developed by KICT(Korea Institute of Civil Engineering and Building Technology). The flood model uses distributed model on a 1km grid basis and environmental variables such as geology or slope related to runoff are set independently for each 1km grid.Acknowledgement : This work was supported by the Technology Development Program (20025869, Development of Safety Support Technology based on Real-Time Flood Risk Detection in Jeju Island) funded by the Ministry of the Interior and Safety(MOIS, korea) 
Title: Development real-time flood modelling technique reflecting regional characteristics of Jeju Island
Description:
Jeju Island is located in the path of typhoons, making it an extremely vulnerable environment to natural disasters.
The mountainous effect caused by Mt.
Halla.
increases the risk of flash flood in rivers and the impact of climate change is worsening the risk on Jeju Island.
Nevertheless, its disaster prevention technology in Jeju Island have been relatively lacking, comparing inland areas in Korea.
This study developed flood modeling technology that reflects the characteristics of Jeju Island to improve disaster prevention technology in the Jeju Island.
First, we developed rainfall scenarios considering the spatial and temporal distribution characteristics of heavy storm in the Jeju Island.
AWS data and radar data were used to consider rainfall spatio-temporal characteristics (rainfall amount, duration, movement, spatial distribution, etc.
).
Second, we used the real-time flood model using inundation and flood risk index developed by KICT(Korea Institute of Civil Engineering and Building Technology).
The flood model uses distributed model on a 1km grid basis and environmental variables such as geology or slope related to runoff are set independently for each 1km grid.
Acknowledgement : This work was supported by the Technology Development Program (20025869, Development of Safety Support Technology based on Real-Time Flood Risk Detection in Jeju Island) funded by the Ministry of the Interior and Safety(MOIS, korea) .
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