Simulation-based modeling of urban waterlogging in Khulna City

Khulna City is extremely vulnerable to the effects of climate change. The city experiences frequent waterlogging during extreme rainfall events. This research prepared a drainage simulation model considering climate change issues for investigating the extent of waterlogging in the city. Watershed an...

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Autores principales:	Showmitra Kumar Sarkar, Md. Atikur Rahman, Md. Esraz-Ul-Zannat, Md. Feroz Islam
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	coastal city drainage density gis analysis mike urban simulation modeling urban hydrology Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/81fa8ed9fb464375bee674fa80b93c4b
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id	oai:doaj.org-article:81fa8ed9fb464375bee674fa80b93c4b
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spelling	oai:doaj.org-article:81fa8ed9fb464375bee674fa80b93c4b2021-11-05T18:31:20ZSimulation-based modeling of urban waterlogging in Khulna City2040-22442408-935410.2166/wcc.2020.256https://doaj.org/article/81fa8ed9fb464375bee674fa80b93c4b2021-03-01T00:00:00Zhttp://jwcc.iwaponline.com/content/12/2/566https://doaj.org/toc/2040-2244https://doaj.org/toc/2408-9354Khulna City is extremely vulnerable to the effects of climate change. The city experiences frequent waterlogging during extreme rainfall events. This research prepared a drainage simulation model considering climate change issues for investigating the extent of waterlogging in the city. Watershed and precipitation were analyzed to examine the existing scenario of the study area. Finally, a Mike Urban-based hydrological simulation model was formulated to investigate the severity of waterlogging. As found by precipitation analysis, 180 mm, 346 mm, and 396 mm rainfall might occur for the 5-year, 50-year, and 100-year return period, respectively. This research identified that volume of overland flow might be affected by climate change-induced rainfall. According to the simulation, 62.52% of the study area was waterlogged with different inundation depths. It was found that traffic movements were severely disrupted and structures were hampered due to waterlogging. 45% paved, 77% brick soling, and 65% unpaved roads were inundated by different inundation levels. On the other hand, 61.1% of structures of the study area were affected by waterlogging. The findings of the research might help the concerned authority in decision-making, especially for the drainage and water-related issues, to solve the waterlogging.Showmitra Kumar SarkarMd. Atikur RahmanMd. Esraz-Ul-ZannatMd. Feroz IslamIWA Publishingarticlecoastal citydrainage densitygis analysismike urbansimulation modelingurban hydrologyEnvironmental technology. Sanitary engineeringTD1-1066Environmental sciencesGE1-350ENJournal of Water and Climate Change, Vol 12, Iss 2, Pp 566-579 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	coastal city drainage density gis analysis mike urban simulation modeling urban hydrology Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350
spellingShingle	coastal city drainage density gis analysis mike urban simulation modeling urban hydrology Environmental technology. Sanitary engineering TD1-1066 Environmental sciences GE1-350 Showmitra Kumar Sarkar Md. Atikur Rahman Md. Esraz-Ul-Zannat Md. Feroz Islam Simulation-based modeling of urban waterlogging in Khulna City
description	Khulna City is extremely vulnerable to the effects of climate change. The city experiences frequent waterlogging during extreme rainfall events. This research prepared a drainage simulation model considering climate change issues for investigating the extent of waterlogging in the city. Watershed and precipitation were analyzed to examine the existing scenario of the study area. Finally, a Mike Urban-based hydrological simulation model was formulated to investigate the severity of waterlogging. As found by precipitation analysis, 180 mm, 346 mm, and 396 mm rainfall might occur for the 5-year, 50-year, and 100-year return period, respectively. This research identified that volume of overland flow might be affected by climate change-induced rainfall. According to the simulation, 62.52% of the study area was waterlogged with different inundation depths. It was found that traffic movements were severely disrupted and structures were hampered due to waterlogging. 45% paved, 77% brick soling, and 65% unpaved roads were inundated by different inundation levels. On the other hand, 61.1% of structures of the study area were affected by waterlogging. The findings of the research might help the concerned authority in decision-making, especially for the drainage and water-related issues, to solve the waterlogging.
format	article
author	Showmitra Kumar Sarkar Md. Atikur Rahman Md. Esraz-Ul-Zannat Md. Feroz Islam
author_facet	Showmitra Kumar Sarkar Md. Atikur Rahman Md. Esraz-Ul-Zannat Md. Feroz Islam
author_sort	Showmitra Kumar Sarkar
title	Simulation-based modeling of urban waterlogging in Khulna City
title_short	Simulation-based modeling of urban waterlogging in Khulna City
title_full	Simulation-based modeling of urban waterlogging in Khulna City
title_fullStr	Simulation-based modeling of urban waterlogging in Khulna City
title_full_unstemmed	Simulation-based modeling of urban waterlogging in Khulna City
title_sort	simulation-based modeling of urban waterlogging in khulna city
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/81fa8ed9fb464375bee674fa80b93c4b
work_keys_str_mv	AT showmitrakumarsarkar simulationbasedmodelingofurbanwaterlogginginkhulnacity AT mdatikurrahman simulationbasedmodelingofurbanwaterlogginginkhulnacity AT mdesrazulzannat simulationbasedmodelingofurbanwaterlogginginkhulnacity AT mdferozislam simulationbasedmodelingofurbanwaterlogginginkhulnacity
_version_	1718444109065093120

Simulation-based modeling of urban waterlogging in Khulna City

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