Abstract
To prevent and prepare for natural disasters, the government is implementing Hazard Mitigation Projects(H.M.P) for Natural Disaster Risk Reduction Districts. This study is to develop a water level prediction model(W.L.P.M) using multiple linear regression analysis based on the measurement data of rainfall and water level to evaluate the effect of the H.M.P on the prevention of river disasters. For this, a point where the effect of the H.M.P in the Mihocheon Basin can be reviewed was selected, and the time scale of the independent variable was determined through autocorrelation analysis. The regression coefficient for each model was calculated using the stepwise selection method, and the highest-accuracy W.L.P.M was selected using statistical indicators. To evaluate the effect of the H.M.P by comparing the water level prediction results using the W.L.P.M and the actual water level in the rainfall events that occurred after the H.M.P was implemented. After the H.M.P was implemented, the water level increased compared to the W.L.P.M, and the water level before and after the peak flow also decreased. Based on the results of this study, it is judged that the W.L.P.M can be used to evaluate the effectiveness of H.M.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Crisis and Emergency Management: Theory and Praxis
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
