A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

Forecasting floods in urban areas during a heavy rainfall is the aim of every early warning system. 2D-models produce the most accurate flood maps, but they are practically useless as quasi real-time tools, because their run times are comparable to times of propagation of floods. Run times of 1D-mod...

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Main Authors:	Pasquale G. F. Filianoti, Angelo Nicotra, Antonino Labate, Demetrio A. Zema
Format:	Article
Language:	English
Published:	MDPI AG 2020-05-01
Series:	Water
Subjects:	urban flooding hydrodynamic model SWMM MIKE early warning procedure
Online Access:	https://www.mdpi.com/2073-4441/12/6/1525

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spelling	doaj-857fc87386124a42abb6827b9cd56d822020-11-25T03:08:25ZengMDPI AGWater2073-44412020-05-01121525152510.3390/w12061525A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D ModelPasquale G. F. Filianoti0Angelo Nicotra1Antonino Labate2Demetrio A. Zema3Department of Civil, Energy, Enviromental and Material Engineering, Mediterranea University of Reggio Calabria, Reggio Calabria 89127, ItalyDepartment of Civil, Energy, Enviromental and Material Engineering, Mediterranea University of Reggio Calabria, Reggio Calabria 89127, ItalyDepartment AGRARIA, Mediterranea University of Reggio Calabria, Reggio Calabria 89127, ItalyDepartment AGRARIA, Mediterranea University of Reggio Calabria, Reggio Calabria 89127, ItalyForecasting floods in urban areas during a heavy rainfall is the aim of every early warning system. 2D-models produce the most accurate flood maps, but they are practically useless as quasi real-time tools, because their run times are comparable to times of propagation of floods. Run times of 1D-model are of tens of seconds, but their predictions lack accuracy and many useful indicators of flood severity. Our aim is the identification of the 2D-model map that is more similar to the actual map, chosen among those simulated off-line. To this aim, we produce a rough flood map of the occurring event, through a quasi real-time simulation of the rainfall-runoff using a 1D-model. Then we apply an original method, named “ranking approach”, to perform the best matching. This method is applied to the Corace torrent (Calabria, Southern Italy), using 17 synthetic hyetographs to simulate the same number of rainfall-runoff events, using 1D (SWMM) and 2D (MIKE) models. The method proves to be effective in 65% of the cases, while in 82% of cases (i.e., for 14 cases out 17), the event produced by the same ietograph falls within the third rank.https://www.mdpi.com/2073-4441/12/6/1525urban floodinghydrodynamic modelSWMMMIKEearly warning procedure
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Pasquale G. F. Filianoti Angelo Nicotra Antonino Labate Demetrio A. Zema
spellingShingle	Pasquale G. F. Filianoti Angelo Nicotra Antonino Labate Demetrio A. Zema A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model Water urban flooding hydrodynamic model SWMM MIKE early warning procedure
author_facet	Pasquale G. F. Filianoti Angelo Nicotra Antonino Labate Demetrio A. Zema
author_sort	Pasquale G. F. Filianoti
title	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
title_short	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
title_full	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
title_fullStr	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
title_full_unstemmed	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
title_sort	method to improve the flood maps forecasted by on-line use of 1d model
publisher	MDPI AG
series	Water
issn	2073-4441
publishDate	2020-05-01
description	Forecasting floods in urban areas during a heavy rainfall is the aim of every early warning system. 2D-models produce the most accurate flood maps, but they are practically useless as quasi real-time tools, because their run times are comparable to times of propagation of floods. Run times of 1D-model are of tens of seconds, but their predictions lack accuracy and many useful indicators of flood severity. Our aim is the identification of the 2D-model map that is more similar to the actual map, chosen among those simulated off-line. To this aim, we produce a rough flood map of the occurring event, through a quasi real-time simulation of the rainfall-runoff using a 1D-model. Then we apply an original method, named “ranking approach”, to perform the best matching. This method is applied to the Corace torrent (Calabria, Southern Italy), using 17 synthetic hyetographs to simulate the same number of rainfall-runoff events, using 1D (SWMM) and 2D (MIKE) models. The method proves to be effective in 65% of the cases, while in 82% of cases (i.e., for 14 cases out 17), the event produced by the same ietograph falls within the third rank.
topic	urban flooding hydrodynamic model SWMM MIKE early warning procedure
url	https://www.mdpi.com/2073-4441/12/6/1525
work_keys_str_mv	AT pasqualegffilianoti amethodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT angelonicotra amethodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT antoninolabate amethodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT demetrioazema amethodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT pasqualegffilianoti methodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT angelonicotra methodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT antoninolabate methodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel AT demetrioazema methodtoimprovethefloodmapsforecastedbyonlineuseof1dmodel
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A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

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