Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events
Simulation of dam breach scenarios can help in the preparation of emergency action plans for real dam breaks or flash flooding events. The purpose of this study was to identify flood-prone areas in the Al Wala Valley in the governorate of Madaba in Jordan through analysis of the Al Wala Dam. Modelli...
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description | Simulation of dam breach scenarios can help in the preparation of emergency action plans for real dam breaks or flash flooding events. The purpose of this study was to identify flood-prone areas in the Al Wala Valley in the governorate of Madaba in Jordan through analysis of the Al Wala Dam. Modelling of dam breaches was conducted under two scenarios: a Clear Day scenario and a Probable Maximum Flood (PMF) scenario. The former scenario does not address the various dam failure modes; rather, it addresses the formation and development of a breach as a result of structural failures like the sliding of dam blocks in the case of a concrete dam or piping failures in the case of embankment dams. The PMF scenarios, however, simulate unsteady flow in pipes and overtopping failure via consideration of runoff hydrography. In the PMF scenario, flood-prone areas can be identified by in-depth analysis of data from previous extreme rainfall events. The related hydrologic and hydraulic data can then be modelled using intensity-duration-frequency curves applied to an hour-by-hour simulation to discover the areas most at risk of flooding in the future. In the present study, data were collected from inlet of flow to Al Wala Valley on 10 January 2013. The collected data, which included rainfall and discharge data, were fed to the HEC-HMS software in order to calibrate the hydrological parameters of the watershed of the Al Wala Dam. Additionally, the HEC-RAS tool was employed to determine the breach outflow hydrography and hydraulic conditions across various critical downstream locations, which were determined by use of dynamic flood wave-routing models. The simulations revealed that, in the case of the Clear Day scenario, downstream inundation would cover an area of 5.262 km2 in the event of a pipe failure. However, in the event of a six-hour storm, a twelve-hour storm, and a twenty-four-hour storm, the flooded area would rise to 6.837 km2, 8.518 km2, and 9.390 km2, respectively. In the event of an overtopping failure, 13.171 km2 would be inundated, according to the Clear Day scenario. On the other hand, in the event of a six-hour storm, a twelve-hour storm, and a twenty four-hour storm, the flooded area would rise to 13.302 km2, 14.249 km2, and 14.594 km2, respectively. |
doi_str_mv | 10.3390/su15031758 |
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The purpose of this study was to identify flood-prone areas in the Al Wala Valley in the governorate of Madaba in Jordan through analysis of the Al Wala Dam. Modelling of dam breaches was conducted under two scenarios: a Clear Day scenario and a Probable Maximum Flood (PMF) scenario. The former scenario does not address the various dam failure modes; rather, it addresses the formation and development of a breach as a result of structural failures like the sliding of dam blocks in the case of a concrete dam or piping failures in the case of embankment dams. The PMF scenarios, however, simulate unsteady flow in pipes and overtopping failure via consideration of runoff hydrography. In the PMF scenario, flood-prone areas can be identified by in-depth analysis of data from previous extreme rainfall events. The related hydrologic and hydraulic data can then be modelled using intensity-duration-frequency curves applied to an hour-by-hour simulation to discover the areas most at risk of flooding in the future. In the present study, data were collected from inlet of flow to Al Wala Valley on 10 January 2013. The collected data, which included rainfall and discharge data, were fed to the HEC-HMS software in order to calibrate the hydrological parameters of the watershed of the Al Wala Dam. Additionally, the HEC-RAS tool was employed to determine the breach outflow hydrography and hydraulic conditions across various critical downstream locations, which were determined by use of dynamic flood wave-routing models. The simulations revealed that, in the case of the Clear Day scenario, downstream inundation would cover an area of 5.262 km2 in the event of a pipe failure. However, in the event of a six-hour storm, a twelve-hour storm, and a twenty-four-hour storm, the flooded area would rise to 6.837 km2, 8.518 km2, and 9.390 km2, respectively. In the event of an overtopping failure, 13.171 km2 would be inundated, according to the Clear Day scenario. On the other hand, in the event of a six-hour storm, a twelve-hour storm, and a twenty four-hour storm, the flooded area would rise to 13.302 km2, 14.249 km2, and 14.594 km2, respectively.</description><identifier>ISSN: 2071-1050</identifier><identifier>EISSN: 2071-1050</identifier><identifier>DOI: 10.3390/su15031758</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Climate change ; Concrete dams ; Dam failure ; Dam failures ; Dams ; Detention dams ; Digital mapping ; Downstream ; Embankment dams ; Embankments ; Environmental risk ; Extreme weather ; Failure modes ; Flash floods ; Flood mapping ; Flood waves ; Flooding ; Floods ; Flow velocity ; Global temperature changes ; Hydrography ; Hydrology ; Jordan ; Maximum probable flood ; Overtopping ; Precipitation ; Rain ; Rainfall ; Remote sensing ; Safety and security measures ; Simulation ; Storms ; Structural failure ; Sustainability ; Sustainable development ; Unsteady flow ; Valleys ; Watersheds</subject><ispartof>Sustainability, 2023-01, Vol.15 (3), p.1758</ispartof><rights>COPYRIGHT 2023 MDPI AG</rights><rights>2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c368t-636b7eb5e303a7217596b61a910379be8439a6f7ec2322a9852c86d0bdde11983</citedby><cites>FETCH-LOGICAL-c368t-636b7eb5e303a7217596b61a910379be8439a6f7ec2322a9852c86d0bdde11983</cites><orcidid>0000-0003-0330-1573 ; 0000-0003-3947-5284</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,778,782,27907,27908</link.rule.ids></links><search><creatorcontrib>Al-Fugara, A’kif</creatorcontrib><creatorcontrib>Mabdeh, Ali Nouh</creatorcontrib><creatorcontrib>Alayyash, Saad</creatorcontrib><creatorcontrib>Khasawneh, Awni</creatorcontrib><title>Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events</title><title>Sustainability</title><description>Simulation of dam breach scenarios can help in the preparation of emergency action plans for real dam breaks or flash flooding events. The purpose of this study was to identify flood-prone areas in the Al Wala Valley in the governorate of Madaba in Jordan through analysis of the Al Wala Dam. Modelling of dam breaches was conducted under two scenarios: a Clear Day scenario and a Probable Maximum Flood (PMF) scenario. The former scenario does not address the various dam failure modes; rather, it addresses the formation and development of a breach as a result of structural failures like the sliding of dam blocks in the case of a concrete dam or piping failures in the case of embankment dams. The PMF scenarios, however, simulate unsteady flow in pipes and overtopping failure via consideration of runoff hydrography. In the PMF scenario, flood-prone areas can be identified by in-depth analysis of data from previous extreme rainfall events. The related hydrologic and hydraulic data can then be modelled using intensity-duration-frequency curves applied to an hour-by-hour simulation to discover the areas most at risk of flooding in the future. In the present study, data were collected from inlet of flow to Al Wala Valley on 10 January 2013. The collected data, which included rainfall and discharge data, were fed to the HEC-HMS software in order to calibrate the hydrological parameters of the watershed of the Al Wala Dam. Additionally, the HEC-RAS tool was employed to determine the breach outflow hydrography and hydraulic conditions across various critical downstream locations, which were determined by use of dynamic flood wave-routing models. The simulations revealed that, in the case of the Clear Day scenario, downstream inundation would cover an area of 5.262 km2 in the event of a pipe failure. However, in the event of a six-hour storm, a twelve-hour storm, and a twenty-four-hour storm, the flooded area would rise to 6.837 km2, 8.518 km2, and 9.390 km2, respectively. In the event of an overtopping failure, 13.171 km2 would be inundated, according to the Clear Day scenario. On the other hand, in the event of a six-hour storm, a twelve-hour storm, and a twenty four-hour storm, the flooded area would rise to 13.302 km2, 14.249 km2, and 14.594 km2, respectively.</description><subject>Analysis</subject><subject>Climate change</subject><subject>Concrete dams</subject><subject>Dam failure</subject><subject>Dam failures</subject><subject>Dams</subject><subject>Detention dams</subject><subject>Digital mapping</subject><subject>Downstream</subject><subject>Embankment dams</subject><subject>Embankments</subject><subject>Environmental risk</subject><subject>Extreme weather</subject><subject>Failure modes</subject><subject>Flash floods</subject><subject>Flood mapping</subject><subject>Flood waves</subject><subject>Flooding</subject><subject>Floods</subject><subject>Flow velocity</subject><subject>Global temperature changes</subject><subject>Hydrography</subject><subject>Hydrology</subject><subject>Jordan</subject><subject>Maximum probable flood</subject><subject>Overtopping</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Remote sensing</subject><subject>Safety and security measures</subject><subject>Simulation</subject><subject>Storms</subject><subject>Structural failure</subject><subject>Sustainability</subject><subject>Sustainable development</subject><subject>Unsteady flow</subject><subject>Valleys</subject><subject>Watersheds</subject><issn>2071-1050</issn><issn>2071-1050</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpVkU1LAzEQhhdRsKgXf0HAk0JrPrrJxpsf1QqKYPW8zG5m67a7SU22Yj35041W0M7ATBie9w3JJMkhowMhND0NS5ZSwVSabSU9ThXrM5rS7X_n3eQghBmNIQTTTPaSz_HKeNe4aV1CQ8Aa8jMwKwttXZJ7Z7Cp7ZRUzpPrBsJLrM6ZH3LUFmDnLdqOXEFLLjzCnExKtOBrd0bG8AHekHtYLL4dXEVG753HFsmkc74lo7eoDPvJTgVNwIPfvpc8X4-eLsf9u4eb28vzu34pZNb1pZCFwiJFQQUoHh-pZSEZaEaF0gVmQ6FBVgpLLjgHnaW8zKShhTHImM7EXnK09l1497rE0OUzt_Q2XplzpVLKNR-qSA3W1BQazGtbuc5DGdNg_A5nsarj_FwNRUwmdRQcbwgi0-F7N4VlCPnt5HGTPVmzpXcheKzyha9b8Kuc0fx7g_nfBsUXswWL6w</recordid><startdate>20230101</startdate><enddate>20230101</enddate><creator>Al-Fugara, A’kif</creator><creator>Mabdeh, Ali Nouh</creator><creator>Alayyash, Saad</creator><creator>Khasawneh, Awni</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>4U-</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><orcidid>https://orcid.org/0000-0003-0330-1573</orcidid><orcidid>https://orcid.org/0000-0003-3947-5284</orcidid></search><sort><creationdate>20230101</creationdate><title>Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events</title><author>Al-Fugara, A’kif ; Mabdeh, Ali Nouh ; Alayyash, Saad ; Khasawneh, Awni</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c368t-636b7eb5e303a7217596b61a910379be8439a6f7ec2322a9852c86d0bdde11983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Analysis</topic><topic>Climate change</topic><topic>Concrete dams</topic><topic>Dam failure</topic><topic>Dam failures</topic><topic>Dams</topic><topic>Detention dams</topic><topic>Digital mapping</topic><topic>Downstream</topic><topic>Embankment dams</topic><topic>Embankments</topic><topic>Environmental risk</topic><topic>Extreme weather</topic><topic>Failure modes</topic><topic>Flash floods</topic><topic>Flood mapping</topic><topic>Flood waves</topic><topic>Flooding</topic><topic>Floods</topic><topic>Flow velocity</topic><topic>Global temperature changes</topic><topic>Hydrography</topic><topic>Hydrology</topic><topic>Jordan</topic><topic>Maximum probable flood</topic><topic>Overtopping</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Remote sensing</topic><topic>Safety and security measures</topic><topic>Simulation</topic><topic>Storms</topic><topic>Structural failure</topic><topic>Sustainability</topic><topic>Sustainable development</topic><topic>Unsteady flow</topic><topic>Valleys</topic><topic>Watersheds</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Al-Fugara, A’kif</creatorcontrib><creatorcontrib>Mabdeh, Ali Nouh</creatorcontrib><creatorcontrib>Alayyash, Saad</creatorcontrib><creatorcontrib>Khasawneh, Awni</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>University Readers</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Sustainability</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Al-Fugara, A’kif</au><au>Mabdeh, Ali Nouh</au><au>Alayyash, Saad</au><au>Khasawneh, Awni</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events</atitle><jtitle>Sustainability</jtitle><date>2023-01-01</date><risdate>2023</risdate><volume>15</volume><issue>3</issue><spage>1758</spage><pages>1758-</pages><issn>2071-1050</issn><eissn>2071-1050</eissn><abstract>Simulation of dam breach scenarios can help in the preparation of emergency action plans for real dam breaks or flash flooding events. The purpose of this study was to identify flood-prone areas in the Al Wala Valley in the governorate of Madaba in Jordan through analysis of the Al Wala Dam. Modelling of dam breaches was conducted under two scenarios: a Clear Day scenario and a Probable Maximum Flood (PMF) scenario. The former scenario does not address the various dam failure modes; rather, it addresses the formation and development of a breach as a result of structural failures like the sliding of dam blocks in the case of a concrete dam or piping failures in the case of embankment dams. The PMF scenarios, however, simulate unsteady flow in pipes and overtopping failure via consideration of runoff hydrography. In the PMF scenario, flood-prone areas can be identified by in-depth analysis of data from previous extreme rainfall events. The related hydrologic and hydraulic data can then be modelled using intensity-duration-frequency curves applied to an hour-by-hour simulation to discover the areas most at risk of flooding in the future. In the present study, data were collected from inlet of flow to Al Wala Valley on 10 January 2013. The collected data, which included rainfall and discharge data, were fed to the HEC-HMS software in order to calibrate the hydrological parameters of the watershed of the Al Wala Dam. Additionally, the HEC-RAS tool was employed to determine the breach outflow hydrography and hydraulic conditions across various critical downstream locations, which were determined by use of dynamic flood wave-routing models. The simulations revealed that, in the case of the Clear Day scenario, downstream inundation would cover an area of 5.262 km2 in the event of a pipe failure. However, in the event of a six-hour storm, a twelve-hour storm, and a twenty-four-hour storm, the flooded area would rise to 6.837 km2, 8.518 km2, and 9.390 km2, respectively. In the event of an overtopping failure, 13.171 km2 would be inundated, according to the Clear Day scenario. On the other hand, in the event of a six-hour storm, a twelve-hour storm, and a twenty four-hour storm, the flooded area would rise to 13.302 km2, 14.249 km2, and 14.594 km2, respectively.</abstract><cop>Basel</cop><pub>MDPI AG</pub><doi>10.3390/su15031758</doi><orcidid>https://orcid.org/0000-0003-0330-1573</orcidid><orcidid>https://orcid.org/0000-0003-3947-5284</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Analysis Climate change Concrete dams Dam failure Dam failures Dams Detention dams Digital mapping Downstream Embankment dams Embankments Environmental risk Extreme weather Failure modes Flash floods Flood mapping Flood waves Flooding Floods Flow velocity Global temperature changes Hydrography Hydrology Jordan Maximum probable flood Overtopping Precipitation Rain Rainfall Remote sensing Safety and security measures Simulation Storms Structural failure Sustainability Sustainable development Unsteady flow Valleys Watersheds |
title | Hydrological and Hydrodynamic Modeling for Flash Flood and Embankment Dam Break Scenario: Hazard Mapping of Extreme Storm Events |
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