Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA...

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Autores principales:	Ömer Ekmekcioğlu, Muhammet Yılmaz, Mehmet Özger, Fatih Tosunoğlu
Formato:	article
Lenguaje:	EN
Publicado:	IWA Publishing 2021
Materias:	automatic calibration low impact development pest sensitivity analysis swmm urban floods Environmental technology. Sanitary engineering TD1-1066
Acceso en línea:	https://doaj.org/article/a2388ae1a330416c8639c9a47cebb80e
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spelling	oai:doaj.org-article:a2388ae1a330416c8639c9a47cebb80e2021-11-23T18:40:47ZInvestigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)0273-12231996-973210.2166/wst.2021.432https://doaj.org/article/a2388ae1a330416c8639c9a47cebb80e2021-11-01T00:00:00Zhttp://wst.iwaponline.com/content/84/9/2194https://doaj.org/toc/0273-1223https://doaj.org/toc/1996-9732This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario. HIGHLIGHTS The PEST software is used for the auto-calibration of US EPA-SWMM and the calibration results are statistically significant.; The green roof application has more impact on both the peak discharge reduction and the volume reduction than both the permeable pavements and bioretention cells in the highly urbanized Ayamama watershed.; The combination of green roof and permeable pavements has substantial effect on flood mitigation.;Ömer EkmekcioğluMuhammet YılmazMehmet ÖzgerFatih TosunoğluIWA Publishingarticleautomatic calibrationlow impact developmentpestsensitivity analysisswmmurban floodsEnvironmental technology. Sanitary engineeringTD1-1066ENWater Science and Technology, Vol 84, Iss 9, Pp 2194-2213 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	automatic calibration low impact development pest sensitivity analysis swmm urban floods Environmental technology. Sanitary engineering TD1-1066
spellingShingle	automatic calibration low impact development pest sensitivity analysis swmm urban floods Environmental technology. Sanitary engineering TD1-1066 Ömer Ekmekcioğlu Muhammet Yılmaz Mehmet Özger Fatih Tosunoğlu Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
description	This study aims to investigate the effectiveness of the low impact development (LID) practices on sustainable urban flood storm water management. We applied three LID techniques, i.e. green roof, permeable pavements and bioretention cells, on a highly urbanized watershed in Istanbul, Turkey. The EPA-SWMM was used as a hydrologic-hydraulic model and the model calibration was performed by the well-known Parameter ESTimation (PEST) tool. The rainfall-runoff events occurred between 2012 and 2020. A sensitivity analysis on the parameter selection was applied to reduce the computational cost. The Nash-Sutcliffe efficiency coefficient (NSE) was used as the objective function and it was calculated as 0.809 in the model calibration. The simulations were conducted for six different return periods of a storm event, i.e. 2, 5, 10, 25, 50 and 100 years, in which the synthetic storm event hyetographs were produced by means of the alternating block method. The results revealed that the combination of green roof and permeable pavements have the major impact on both the peak flood reduction and runoff volume reduction compared to the single LIDs. The maximum runoff reduction percentage was obtained as 56.02% for a 10 years return period of a storm event in the combination scenario. HIGHLIGHTS The PEST software is used for the auto-calibration of US EPA-SWMM and the calibration results are statistically significant.; The green roof application has more impact on both the peak discharge reduction and the volume reduction than both the permeable pavements and bioretention cells in the highly urbanized Ayamama watershed.; The combination of green roof and permeable pavements has substantial effect on flood mitigation.;
format	article
author	Ömer Ekmekcioğlu Muhammet Yılmaz Mehmet Özger Fatih Tosunoğlu
author_facet	Ömer Ekmekcioğlu Muhammet Yılmaz Mehmet Özger Fatih Tosunoğlu
author_sort	Ömer Ekmekcioğlu
title	Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
title_short	Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
title_full	Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
title_fullStr	Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
title_full_unstemmed	Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)
title_sort	investigation of the low impact development strategies for highly urbanized area via auto-calibrated storm water management model (swmm)
publisher	IWA Publishing
publishDate	2021
url	https://doaj.org/article/a2388ae1a330416c8639c9a47cebb80e
work_keys_str_mv	AT omerekmekcioglu investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm AT muhammetyılmaz investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm AT mehmetozger investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm AT fatihtosunoglu investigationofthelowimpactdevelopmentstrategiesforhighlyurbanizedareaviaautocalibratedstormwatermanagementmodelswmm
_version_	1718416170132963328

Investigation of the low impact development strategies for highly urbanized area via auto-calibrated Storm Water Management Model (SWMM)

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