Influence of Dam Breach Parameter Statistical Definition on Resulting Rupture Maximum Discharge
However rare, dam breach occurrences are recently reported and associated with significant damage to life and property. The rupture of the structural dam wall generates severe flow rates that exceed spillway capacity consequently generating unprecedented flooding scenarios. The present research aims...
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Veröffentlicht in: | Water (Basel) 2022-06, Vol.14 (11), p.1776 |
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creator | Bello, Diego Alcayaga, Hernán Caamaño, Diego Pizarro, Alonso |
description | However rare, dam breach occurrences are recently reported and associated with significant damage to life and property. The rupture of the structural dam wall generates severe flow rates that exceed spillway capacity consequently generating unprecedented flooding scenarios. The present research aims to assess the influence of the dam breach statistical configuration on the most relevant parameters to predict the rupture maximum discharge (RMD). McBreach© software was used to provide the necessary inputs for the operation of the HEC-RAS dam breach module. McBreach© automates the process of batch mode simulations providing a Monte Carlo approach to characterize the breach parameters stochastically. Thus, a sensitivity analysis was performed to identify the most influential breach parameters, followed by an uncertainty assessment regarding their statistical definition of the resultant RMD. Analysis showed that the overtopping failure mode discharges are most sensitive to the breach formation time (tf) parameter, followed by the final height breach (Inv) and the final width of the breach (B), which combined are responsible for 85% of the rupture’s maximum discharge. Further results indicated highly variable RMD magnitudes (up to 300%) depending on the breach parameter’s statistical definition (i.e., probability density function and associated statistical parameters). The latter significantly impacts the estimated flood risk associated with the breach, the flood zone delimitation, preparation of emergency action plans (EAP) and scaling of future dam projects. Consequently, there is a plausible need for additional investigations to reduce this uncertainty and, therefore, the risk associated with it. |
doi_str_mv | 10.3390/w14111776 |
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The rupture of the structural dam wall generates severe flow rates that exceed spillway capacity consequently generating unprecedented flooding scenarios. The present research aims to assess the influence of the dam breach statistical configuration on the most relevant parameters to predict the rupture maximum discharge (RMD). McBreach© software was used to provide the necessary inputs for the operation of the HEC-RAS dam breach module. McBreach© automates the process of batch mode simulations providing a Monte Carlo approach to characterize the breach parameters stochastically. Thus, a sensitivity analysis was performed to identify the most influential breach parameters, followed by an uncertainty assessment regarding their statistical definition of the resultant RMD. Analysis showed that the overtopping failure mode discharges are most sensitive to the breach formation time (tf) parameter, followed by the final height breach (Inv) and the final width of the breach (B), which combined are responsible for 85% of the rupture’s maximum discharge. Further results indicated highly variable RMD magnitudes (up to 300%) depending on the breach parameter’s statistical definition (i.e., probability density function and associated statistical parameters). The latter significantly impacts the estimated flood risk associated with the breach, the flood zone delimitation, preparation of emergency action plans (EAP) and scaling of future dam projects. Consequently, there is a plausible need for additional investigations to reduce this uncertainty and, therefore, the risk associated with it.</description><identifier>ISSN: 2073-4441</identifier><identifier>EISSN: 2073-4441</identifier><identifier>DOI: 10.3390/w14111776</identifier><language>eng</language><publisher>Basel: MDPI AG</publisher><subject>Analysis ; Chile ; Dams ; Failure ; Failure modes ; Flooding ; Flow rates ; Flow velocity ; Fluid flow ; Hydraulics ; Parameter sensitivity ; Probability density functions ; Property damage ; Rupture ; Rupturing ; Sensitivity analysis ; Simulation ; Software ; Spillway capacity ; Spillways ; Standard deviation ; Statistical analysis ; Statistics ; Uncertainty</subject><ispartof>Water (Basel), 2022-06, Vol.14 (11), p.1776</ispartof><rights>COPYRIGHT 2022 MDPI AG</rights><rights>2022 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-c2466-a90e6414f4c9e835bb0404b8b1be5a92e9c49d072225d61baa7d615b01f9c4bd3</citedby><cites>FETCH-LOGICAL-c2466-a90e6414f4c9e835bb0404b8b1be5a92e9c49d072225d61baa7d615b01f9c4bd3</cites><orcidid>0000-0001-9300-0816 ; 0000-0002-7242-6559 ; 0000-0003-3272-2801</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Bello, Diego</creatorcontrib><creatorcontrib>Alcayaga, Hernán</creatorcontrib><creatorcontrib>Caamaño, Diego</creatorcontrib><creatorcontrib>Pizarro, Alonso</creatorcontrib><title>Influence of Dam Breach Parameter Statistical Definition on Resulting Rupture Maximum Discharge</title><title>Water (Basel)</title><description>However rare, dam breach occurrences are recently reported and associated with significant damage to life and property. The rupture of the structural dam wall generates severe flow rates that exceed spillway capacity consequently generating unprecedented flooding scenarios. The present research aims to assess the influence of the dam breach statistical configuration on the most relevant parameters to predict the rupture maximum discharge (RMD). McBreach© software was used to provide the necessary inputs for the operation of the HEC-RAS dam breach module. McBreach© automates the process of batch mode simulations providing a Monte Carlo approach to characterize the breach parameters stochastically. Thus, a sensitivity analysis was performed to identify the most influential breach parameters, followed by an uncertainty assessment regarding their statistical definition of the resultant RMD. Analysis showed that the overtopping failure mode discharges are most sensitive to the breach formation time (tf) parameter, followed by the final height breach (Inv) and the final width of the breach (B), which combined are responsible for 85% of the rupture’s maximum discharge. Further results indicated highly variable RMD magnitudes (up to 300%) depending on the breach parameter’s statistical definition (i.e., probability density function and associated statistical parameters). The latter significantly impacts the estimated flood risk associated with the breach, the flood zone delimitation, preparation of emergency action plans (EAP) and scaling of future dam projects. Consequently, there is a plausible need for additional investigations to reduce this uncertainty and, therefore, the risk associated with it.</description><subject>Analysis</subject><subject>Chile</subject><subject>Dams</subject><subject>Failure</subject><subject>Failure modes</subject><subject>Flooding</subject><subject>Flow rates</subject><subject>Flow velocity</subject><subject>Fluid flow</subject><subject>Hydraulics</subject><subject>Parameter sensitivity</subject><subject>Probability density functions</subject><subject>Property damage</subject><subject>Rupture</subject><subject>Rupturing</subject><subject>Sensitivity analysis</subject><subject>Simulation</subject><subject>Software</subject><subject>Spillway capacity</subject><subject>Spillways</subject><subject>Standard deviation</subject><subject>Statistical analysis</subject><subject>Statistics</subject><subject>Uncertainty</subject><issn>2073-4441</issn><issn>2073-4441</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpNUE1PwzAMrRBITGMH_kEkThwGSZM2zXFsfEwaAg04R2nqbJnadCSpgH9P0BDCtvQs-z1bdpadE3xFqcDXH4QRQjgvj7JRjjmdMsbI8b_8NJuEsMPJmKiqAo8yuXSmHcBpQL1BC9WhGw9Kb9Gz8qqDCB69RBVtiFarFi3AWGej7R1KsYYwtNG6DVoP-zh4QI_q03ZDhxY26K3yGzjLToxqA0x-cZy93d2-zh-mq6f75Xy2muqcleVUCQwlI8wwLaCiRV1jhlld1aSGQokchGaiwTzP86IpSa0UT1DUmJjUqRs6zi4Oc_e-fx8gRLnrB-_SSpmXnDEsOC0S6-rA2qgWpHWmj17p5A10VvcuXZfqMy5ozjEVVRJcHgTa9yF4MHLvbaf8lyRY_vxc_v2cfgPeSHK6</recordid><startdate>20220601</startdate><enddate>20220601</enddate><creator>Bello, Diego</creator><creator>Alcayaga, Hernán</creator><creator>Caamaño, Diego</creator><creator>Pizarro, Alonso</creator><general>MDPI AG</general><scope>AAYXX</scope><scope>CITATION</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/0000-0001-9300-0816</orcidid><orcidid>https://orcid.org/0000-0002-7242-6559</orcidid><orcidid>https://orcid.org/0000-0003-3272-2801</orcidid></search><sort><creationdate>20220601</creationdate><title>Influence of Dam Breach Parameter Statistical Definition on Resulting Rupture Maximum Discharge</title><author>Bello, Diego ; Alcayaga, Hernán ; Caamaño, Diego ; Pizarro, Alonso</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2466-a90e6414f4c9e835bb0404b8b1be5a92e9c49d072225d61baa7d615b01f9c4bd3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Analysis</topic><topic>Chile</topic><topic>Dams</topic><topic>Failure</topic><topic>Failure modes</topic><topic>Flooding</topic><topic>Flow rates</topic><topic>Flow velocity</topic><topic>Fluid flow</topic><topic>Hydraulics</topic><topic>Parameter sensitivity</topic><topic>Probability density functions</topic><topic>Property damage</topic><topic>Rupture</topic><topic>Rupturing</topic><topic>Sensitivity analysis</topic><topic>Simulation</topic><topic>Software</topic><topic>Spillway capacity</topic><topic>Spillways</topic><topic>Standard deviation</topic><topic>Statistical analysis</topic><topic>Statistics</topic><topic>Uncertainty</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bello, Diego</creatorcontrib><creatorcontrib>Alcayaga, Hernán</creatorcontrib><creatorcontrib>Caamaño, Diego</creatorcontrib><creatorcontrib>Pizarro, Alonso</creatorcontrib><collection>CrossRef</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>Water (Basel)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bello, Diego</au><au>Alcayaga, Hernán</au><au>Caamaño, Diego</au><au>Pizarro, Alonso</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Influence of Dam Breach Parameter Statistical Definition on Resulting Rupture Maximum Discharge</atitle><jtitle>Water (Basel)</jtitle><date>2022-06-01</date><risdate>2022</risdate><volume>14</volume><issue>11</issue><spage>1776</spage><pages>1776-</pages><issn>2073-4441</issn><eissn>2073-4441</eissn><abstract>However rare, dam breach occurrences are recently reported and associated with significant damage to life and property. The rupture of the structural dam wall generates severe flow rates that exceed spillway capacity consequently generating unprecedented flooding scenarios. The present research aims to assess the influence of the dam breach statistical configuration on the most relevant parameters to predict the rupture maximum discharge (RMD). McBreach© software was used to provide the necessary inputs for the operation of the HEC-RAS dam breach module. McBreach© automates the process of batch mode simulations providing a Monte Carlo approach to characterize the breach parameters stochastically. Thus, a sensitivity analysis was performed to identify the most influential breach parameters, followed by an uncertainty assessment regarding their statistical definition of the resultant RMD. Analysis showed that the overtopping failure mode discharges are most sensitive to the breach formation time (tf) parameter, followed by the final height breach (Inv) and the final width of the breach (B), which combined are responsible for 85% of the rupture’s maximum discharge. Further results indicated highly variable RMD magnitudes (up to 300%) depending on the breach parameter’s statistical definition (i.e., probability density function and associated statistical parameters). The latter significantly impacts the estimated flood risk associated with the breach, the flood zone delimitation, preparation of emergency action plans (EAP) and scaling of future dam projects. 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subjects | Analysis Chile Dams Failure Failure modes Flooding Flow rates Flow velocity Fluid flow Hydraulics Parameter sensitivity Probability density functions Property damage Rupture Rupturing Sensitivity analysis Simulation Software Spillway capacity Spillways Standard deviation Statistical analysis Statistics Uncertainty |
title | Influence of Dam Breach Parameter Statistical Definition on Resulting Rupture Maximum Discharge |
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