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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Autor*in:	Pasquale G. F. Filianoti [verfasserIn] Angelo Nicotra [verfasserIn] Antonino Labate [verfasserIn] Demetrio A. Zema [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2020

Schlagwörter:	urban flooding hydrodynamic model SWMM MIKE early warning procedure

Übergeordnetes Werk:	In: Water - MDPI AG, 2010, 12(2020), 6, p 1525
Übergeordnetes Werk:	volume:12 ; year:2020 ; number:6, p 1525

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.3390/w12061525

Katalog-ID:	DOAJ034565132

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allfieldsSound	10.3390/w12061525 doi (DE-627)DOAJ034565132 (DE-599)DOAJ857fc87386124a42abb6827b9cd56d82 DE-627 ger DE-627 rakwb eng TC1-978 TD201-500 Pasquale G. F. Filianoti verfasserin aut A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model 2020 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier 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. urban flooding hydrodynamic model SWMM MIKE early warning procedure Hydraulic engineering Water supply for domestic and industrial purposes Angelo Nicotra verfasserin aut Antonino Labate verfasserin aut Demetrio A. Zema verfasserin aut In Water MDPI AG, 2010 12(2020), 6, p 1525 (DE-627)611729008 (DE-600)2521238-2 20734441 nnns volume:12 year:2020 number:6, p 1525 https://doi.org/10.3390/w12061525 kostenfrei https://doaj.org/article/857fc87386124a42abb6827b9cd56d82 kostenfrei https://www.mdpi.com/2073-4441/12/6/1525 kostenfrei https://doaj.org/toc/2073-4441 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 12 2020 6, p 1525
language	English
source	In Water 12(2020), 6, p 1525 volume:12 year:2020 number:6, p 1525
sourceStr	In Water 12(2020), 6, p 1525 volume:12 year:2020 number:6, p 1525
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	urban flooding hydrodynamic model SWMM MIKE early warning procedure Hydraulic engineering Water supply for domestic and industrial purposes
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container_title	Water
authorswithroles_txt_mv	Pasquale G. F. Filianoti @@aut@@ Angelo Nicotra @@aut@@ Antonino Labate @@aut@@ Demetrio A. Zema @@aut@@
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callnumber-first	T - Technology
author	Pasquale G. F. Filianoti
spellingShingle	Pasquale G. F. Filianoti misc TC1-978 misc TD201-500 misc urban flooding misc hydrodynamic model misc SWMM misc MIKE misc early warning procedure misc Hydraulic engineering misc Water supply for domestic and industrial purposes A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
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topic_title	TC1-978 TD201-500 A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model urban flooding hydrodynamic model SWMM MIKE early warning procedure
topic	misc TC1-978 misc TD201-500 misc urban flooding misc hydrodynamic model misc SWMM misc MIKE misc early warning procedure misc Hydraulic engineering misc Water supply for domestic and industrial purposes
topic_unstemmed	misc TC1-978 misc TD201-500 misc urban flooding misc hydrodynamic model misc SWMM misc MIKE misc early warning procedure misc Hydraulic engineering misc Water supply for domestic and industrial purposes
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title	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
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title_full	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
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title_sort	method to improve the flood maps forecasted by on-line use of 1d model
callnumber	TC1-978
title_auth	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
abstract	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.
abstractGer	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.
abstract_unstemmed	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.
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title_short	A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model
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author2	Angelo Nicotra Antonino Labate Demetrio A. Zema
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A Method to Improve the Flood Maps Forecasted by On-Line Use of 1D Model

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