Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors

Abstract Flood havoc during 2019 in the Sangu River basin caused widespread damage to residents, crops, roads, and communications in parts of hills in Bangladesh. Developing flood hazard maps can play an essential step in risks management. For this purpose, this study assessed 12 hydro‐geomorphologi...

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Main Authors: Rashed Uz Zzaman, Sara Nowreen, Maruf Billah, Akm Saiful Islam
Format: Article
Language:English
Published: Wiley 2021-09-01
Series:Journal of Flood Risk Management
Subjects:
Online Access:https://doi.org/10.1111/jfr3.12715
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author Rashed Uz Zzaman
Sara Nowreen
Maruf Billah
Akm Saiful Islam
author_facet Rashed Uz Zzaman
Sara Nowreen
Maruf Billah
Akm Saiful Islam
author_sort Rashed Uz Zzaman
collection DOAJ
description Abstract Flood havoc during 2019 in the Sangu River basin caused widespread damage to residents, crops, roads, and communications in parts of hills in Bangladesh. Developing flood hazard maps can play an essential step in risks management. For this purpose, this study assessed 12 hydro‐geomorphological factors, namely, topographic wetness index, elevation, slope, extreme rainfall, land‐use and land‐cover, soil type, lithology, curvature, drainage density, aspect, height above the nearest drainage, and distance from streams. Maps prepared by individual application of the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) exhibit validation scores ranging from 0.77 to 0.79. It is found that the ANP‐based model under 1‐day maximum rainfall denotes a reliable hazard map presenting comparable accuracy to the field results. The hazard map under 100‐year return periods shows that a total of 0.71 million population living downstream is prone to “very high” flood because of its lowland morphology, mild slope, and high drainage density. Alarmingly, 39% of roads, 43% of farming lands, and 25% of education buildings are observed to lie in the highest flood‐prone area. Details on subdistrict level exposures have the potential to serve the decision‐makers and planners in site selection for flood management strategies and setting priorities for remedial measures.
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spelling doaj.art-e32524e0a446423da779cb4e4733cf1c2022-12-21T22:25:30ZengWileyJournal of Flood Risk Management1753-318X2021-09-01143n/an/a10.1111/jfr3.12715Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factorsRashed Uz Zzaman0Sara Nowreen1Maruf Billah2Akm Saiful Islam3Institute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) Dhaka BangladeshInstitute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) Dhaka BangladeshInstitute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) Dhaka BangladeshInstitute of Water and Flood Management (IWFM) Bangladesh University of Engineering and Technology (BUET) Dhaka BangladeshAbstract Flood havoc during 2019 in the Sangu River basin caused widespread damage to residents, crops, roads, and communications in parts of hills in Bangladesh. Developing flood hazard maps can play an essential step in risks management. For this purpose, this study assessed 12 hydro‐geomorphological factors, namely, topographic wetness index, elevation, slope, extreme rainfall, land‐use and land‐cover, soil type, lithology, curvature, drainage density, aspect, height above the nearest drainage, and distance from streams. Maps prepared by individual application of the Analytical Hierarchy Process (AHP) and Analytical Network Process (ANP) exhibit validation scores ranging from 0.77 to 0.79. It is found that the ANP‐based model under 1‐day maximum rainfall denotes a reliable hazard map presenting comparable accuracy to the field results. The hazard map under 100‐year return periods shows that a total of 0.71 million population living downstream is prone to “very high” flood because of its lowland morphology, mild slope, and high drainage density. Alarmingly, 39% of roads, 43% of farming lands, and 25% of education buildings are observed to lie in the highest flood‐prone area. Details on subdistrict level exposures have the potential to serve the decision‐makers and planners in site selection for flood management strategies and setting priorities for remedial measures.https://doi.org/10.1111/jfr3.12715analytical hierarchy processanalytical network processBangladeshflood hazard maphydro‐geomorphological factorssentinel data
spellingShingle Rashed Uz Zzaman
Sara Nowreen
Maruf Billah
Akm Saiful Islam
Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
Journal of Flood Risk Management
analytical hierarchy process
analytical network process
Bangladesh
flood hazard map
hydro‐geomorphological factors
sentinel data
title Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
title_full Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
title_fullStr Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
title_full_unstemmed Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
title_short Flood hazard mapping of Sangu River basin in Bangladesh using multi‐criteria analysis of hydro‐geomorphological factors
title_sort flood hazard mapping of sangu river basin in bangladesh using multi criteria analysis of hydro geomorphological factors
topic analytical hierarchy process
analytical network process
Bangladesh
flood hazard map
hydro‐geomorphological factors
sentinel data
url https://doi.org/10.1111/jfr3.12715
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AT marufbillah floodhazardmappingofsanguriverbasininbangladeshusingmulticriteriaanalysisofhydrogeomorphologicalfactors
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