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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Format: | Article |
Language: | English |
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Wiley
2021-09-01
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Series: | Journal of Flood Risk Management |
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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. |
first_indexed | 2024-12-16T15:59:55Z |
format | Article |
id | doaj.art-e32524e0a446423da779cb4e4733cf1c |
institution | Directory Open Access Journal |
issn | 1753-318X |
language | English |
last_indexed | 2024-12-16T15:59:55Z |
publishDate | 2021-09-01 |
publisher | Wiley |
record_format | Article |
series | Journal of Flood Risk Management |
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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