Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas

This study presents the development of a statistical flash flood risk index model, which is currently operating in research mode for flash flood risk forecasting in ungauged mountainous areas. The grid-based statistical flash flood risk index, with temporal and spatial resolutions of 1 h and 1 km, r...

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Main Authors: Byong-Ju Lee, Sangil Kim
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Water
Subjects:
Online Access:http://www.mdpi.com/2073-4441/11/3/504
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author Byong-Ju Lee
Sangil Kim
author_facet Byong-Ju Lee
Sangil Kim
author_sort Byong-Ju Lee
collection DOAJ
description This study presents the development of a statistical flash flood risk index model, which is currently operating in research mode for flash flood risk forecasting in ungauged mountainous areas. The grid-based statistical flash flood risk index, with temporal and spatial resolutions of 1 h and 1 km, respectively, has been developed to simulate the flash flood risk index leading to flash flood casualties using hourly rainfall, surface flow, and soil water content in the previous 6 h. The statistical index model employs factor analysis and multi-linear regression to analyze its gridded hydrological components that are obtained from the TOPMODEL-based Land Atmosphere Transfer Scheme (TOPLATS). The performance of the developed index model has been evaluated in estimating flash flooding in ungauged mountain valleys and small streams. Numerical results show that the approach simulated 38 flash flood catastrophes in the Seoul Capital Region with 71% accuracy; therefore, this approach is potentially adequate for flash flood risk forecasting.
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spelling doaj.art-36c00ac85f244e3c9b0d00b83652ed9b2022-12-22T03:08:41ZengMDPI AGWater2073-44412019-03-0111350410.3390/w11030504w11030504Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous AreasByong-Ju Lee0Sangil Kim1Department of Research & Development, Hydrology Engineering & Consulting Center, Korea Inc, 08380, KoreaDepartment of Mathematics, Pusan National University, Busan 46241, KoreaThis study presents the development of a statistical flash flood risk index model, which is currently operating in research mode for flash flood risk forecasting in ungauged mountainous areas. The grid-based statistical flash flood risk index, with temporal and spatial resolutions of 1 h and 1 km, respectively, has been developed to simulate the flash flood risk index leading to flash flood casualties using hourly rainfall, surface flow, and soil water content in the previous 6 h. The statistical index model employs factor analysis and multi-linear regression to analyze its gridded hydrological components that are obtained from the TOPMODEL-based Land Atmosphere Transfer Scheme (TOPLATS). The performance of the developed index model has been evaluated in estimating flash flooding in ungauged mountain valleys and small streams. Numerical results show that the approach simulated 38 flash flood catastrophes in the Seoul Capital Region with 71% accuracy; therefore, this approach is potentially adequate for flash flood risk forecasting.http://www.mdpi.com/2073-4441/11/3/504statistical flash flood forecastfactor analysisdistributed hydrological modelungauged mountainous area
spellingShingle Byong-Ju Lee
Sangil Kim
Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
Water
statistical flash flood forecast
factor analysis
distributed hydrological model
ungauged mountainous area
title Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
title_full Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
title_fullStr Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
title_full_unstemmed Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
title_short Gridded Flash Flood Risk Index Coupling Statistical Approaches and TOPLATS Land Surface Model for Mountainous Areas
title_sort gridded flash flood risk index coupling statistical approaches and toplats land surface model for mountainous areas
topic statistical flash flood forecast
factor analysis
distributed hydrological model
ungauged mountainous area
url http://www.mdpi.com/2073-4441/11/3/504
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AT sangilkim griddedflashfloodriskindexcouplingstatisticalapproachesandtoplatslandsurfacemodelformountainousareas