Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis
Risk-based optimization is a framework that allows the designer to involve uncertainties in the decision-making process and determine the reliability of a hydraulic structure. This study was conducted to incorporate hydrological and hydraulic uncertainties in the probabilistic design of Karun-4 dive...
Gespeichert in:
| Veröffentlicht in: | Iranian journal of science and technology. Transactions of civil engineering 2021-12, Vol.45 (4), p.2651-2662 |
|---|---|
| Hauptverfasser: | , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 2662 |
|---|---|
| container_issue | 4 |
| container_start_page | 2651 |
| container_title | Iranian journal of science and technology. Transactions of civil engineering |
| container_volume | 45 |
| creator | Rahimi, Yahya Saghafian, Bahram Banihashemi, Mohammad Ali |
| description | Risk-based optimization is a framework that allows the designer to involve uncertainties in the decision-making process and determine the reliability of a hydraulic structure. This study was conducted to incorporate hydrological and hydraulic uncertainties in the probabilistic design of Karun-4 diversion system in southwestern Iran. The risk-based multi-objective optimization was developed for determining the effect of uncertainty sources on the characteristics of the diversion system. For this purpose, the time series of annual maximum peak flow and maximum flood volume for a period of 58 years were prepared. Archimedean copula function and non-dominated sorting genetic algorithm were adopted. The optimal values of upstream cofferdam height, downstream cofferdam height and the diameter of the first and second tunnels were estimated as 38, 11, 9.2 and 8.8 m, respectively, all corresponding to 25-year return period. The results suggest that the proposed framework could be valuable for decision makers when economic, hydraulic and hydrological uncertainties are expected. |
| doi_str_mv | 10.1007/s40996-020-00427-4 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2583095304</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2583095304</sourcerecordid><originalsourceid>FETCH-LOGICAL-c319t-ab06b512ba08c67ba45b0a4e73c96872b29a3aa7d50f8cfa4b26318c8f11b9eb3</originalsourceid><addsrcrecordid>eNp9kE9r3DAQxU1poCHNF8hJ0LOb0R_L8nGbZDcLIQkkexYjrbwoOFKq8Qb8LfqR680WcutphuG9N49fVV1w-MkB2ktS0HW6BgE1gBJtrb5Up0JqVXOj5Nd5F8LUmmv4Vp0TvQAAh1aCNqfVn9tpW_KQd9HjwDBt2eGA-yF6tkk-lBFjGie2SDhMFInFxB5LdujiEGmcVdeB4i6x3LPlkPOWXcf3UCjmxJ4mGsMrsQ3FtGP3T6vFev3x4ld8xxJxDGxZwu99SP7zwffqpMeBwvm_eVZtljfPV7f13cNqfbW4q73k3VijA-0aLhyC8bp1qBoHqEIrfadNK5zoUCK22wZ643tUTmjJjTc9564LTp5VP465byXPFWi0L3lf5hJkRWMkdI0ENavEUeVLJiqht28lvmKZLAd7gG-P8O0M337AtweTPJpoFqddKJ_R_3H9Bc8WiV4</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2583095304</pqid></control><display><type>article</type><title>Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis</title><source>SpringerLink Journals</source><creator>Rahimi, Yahya ; Saghafian, Bahram ; Banihashemi, Mohammad Ali</creator><creatorcontrib>Rahimi, Yahya ; Saghafian, Bahram ; Banihashemi, Mohammad Ali</creatorcontrib><description>Risk-based optimization is a framework that allows the designer to involve uncertainties in the decision-making process and determine the reliability of a hydraulic structure. This study was conducted to incorporate hydrological and hydraulic uncertainties in the probabilistic design of Karun-4 diversion system in southwestern Iran. The risk-based multi-objective optimization was developed for determining the effect of uncertainty sources on the characteristics of the diversion system. For this purpose, the time series of annual maximum peak flow and maximum flood volume for a period of 58 years were prepared. Archimedean copula function and non-dominated sorting genetic algorithm were adopted. The optimal values of upstream cofferdam height, downstream cofferdam height and the diameter of the first and second tunnels were estimated as 38, 11, 9.2 and 8.8 m, respectively, all corresponding to 25-year return period. The results suggest that the proposed framework could be valuable for decision makers when economic, hydraulic and hydrological uncertainties are expected.</description><identifier>ISSN: 2228-6160</identifier><identifier>EISSN: 2364-1843</identifier><identifier>DOI: 10.1007/s40996-020-00427-4</identifier><language>eng</language><publisher>Cham: Springer International Publishing</publisher><subject>Bivariate analysis ; Civil Engineering ; Cofferdams ; Decision making ; Design ; Engineering ; Frequency analysis ; Genetic algorithms ; Hydraulic structures ; Hydraulics ; Hydrology ; Maximum probable flood ; Multiple objective analysis ; Optimization ; Reliability engineering ; Research Paper ; Risk analysis ; Sorting algorithms ; Structural reliability ; Tunnels ; Uncertainty analysis</subject><ispartof>Iranian journal of science and technology. Transactions of civil engineering, 2021-12, Vol.45 (4), p.2651-2662</ispartof><rights>Shiraz University 2020</rights><rights>Shiraz University 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-ab06b512ba08c67ba45b0a4e73c96872b29a3aa7d50f8cfa4b26318c8f11b9eb3</citedby><cites>FETCH-LOGICAL-c319t-ab06b512ba08c67ba45b0a4e73c96872b29a3aa7d50f8cfa4b26318c8f11b9eb3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s40996-020-00427-4$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s40996-020-00427-4$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids></links><search><creatorcontrib>Rahimi, Yahya</creatorcontrib><creatorcontrib>Saghafian, Bahram</creatorcontrib><creatorcontrib>Banihashemi, Mohammad Ali</creatorcontrib><title>Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis</title><title>Iranian journal of science and technology. Transactions of civil engineering</title><addtitle>Iran J Sci Technol Trans Civ Eng</addtitle><description>Risk-based optimization is a framework that allows the designer to involve uncertainties in the decision-making process and determine the reliability of a hydraulic structure. This study was conducted to incorporate hydrological and hydraulic uncertainties in the probabilistic design of Karun-4 diversion system in southwestern Iran. The risk-based multi-objective optimization was developed for determining the effect of uncertainty sources on the characteristics of the diversion system. For this purpose, the time series of annual maximum peak flow and maximum flood volume for a period of 58 years were prepared. Archimedean copula function and non-dominated sorting genetic algorithm were adopted. The optimal values of upstream cofferdam height, downstream cofferdam height and the diameter of the first and second tunnels were estimated as 38, 11, 9.2 and 8.8 m, respectively, all corresponding to 25-year return period. The results suggest that the proposed framework could be valuable for decision makers when economic, hydraulic and hydrological uncertainties are expected.</description><subject>Bivariate analysis</subject><subject>Civil Engineering</subject><subject>Cofferdams</subject><subject>Decision making</subject><subject>Design</subject><subject>Engineering</subject><subject>Frequency analysis</subject><subject>Genetic algorithms</subject><subject>Hydraulic structures</subject><subject>Hydraulics</subject><subject>Hydrology</subject><subject>Maximum probable flood</subject><subject>Multiple objective analysis</subject><subject>Optimization</subject><subject>Reliability engineering</subject><subject>Research Paper</subject><subject>Risk analysis</subject><subject>Sorting algorithms</subject><subject>Structural reliability</subject><subject>Tunnels</subject><subject>Uncertainty analysis</subject><issn>2228-6160</issn><issn>2364-1843</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp9kE9r3DAQxU1poCHNF8hJ0LOb0R_L8nGbZDcLIQkkexYjrbwoOFKq8Qb8LfqR680WcutphuG9N49fVV1w-MkB2ktS0HW6BgE1gBJtrb5Up0JqVXOj5Nd5F8LUmmv4Vp0TvQAAh1aCNqfVn9tpW_KQd9HjwDBt2eGA-yF6tkk-lBFjGie2SDhMFInFxB5LdujiEGmcVdeB4i6x3LPlkPOWXcf3UCjmxJ4mGsMrsQ3FtGP3T6vFev3x4ld8xxJxDGxZwu99SP7zwffqpMeBwvm_eVZtljfPV7f13cNqfbW4q73k3VijA-0aLhyC8bp1qBoHqEIrfadNK5zoUCK22wZ643tUTmjJjTc9564LTp5VP465byXPFWi0L3lf5hJkRWMkdI0ENavEUeVLJiqht28lvmKZLAd7gG-P8O0M337AtweTPJpoFqddKJ_R_3H9Bc8WiV4</recordid><startdate>20211201</startdate><enddate>20211201</enddate><creator>Rahimi, Yahya</creator><creator>Saghafian, Bahram</creator><creator>Banihashemi, Mohammad Ali</creator><general>Springer International Publishing</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>KR7</scope></search><sort><creationdate>20211201</creationdate><title>Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis</title><author>Rahimi, Yahya ; Saghafian, Bahram ; Banihashemi, Mohammad Ali</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-ab06b512ba08c67ba45b0a4e73c96872b29a3aa7d50f8cfa4b26318c8f11b9eb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bivariate analysis</topic><topic>Civil Engineering</topic><topic>Cofferdams</topic><topic>Decision making</topic><topic>Design</topic><topic>Engineering</topic><topic>Frequency analysis</topic><topic>Genetic algorithms</topic><topic>Hydraulic structures</topic><topic>Hydraulics</topic><topic>Hydrology</topic><topic>Maximum probable flood</topic><topic>Multiple objective analysis</topic><topic>Optimization</topic><topic>Reliability engineering</topic><topic>Research Paper</topic><topic>Risk analysis</topic><topic>Sorting algorithms</topic><topic>Structural reliability</topic><topic>Tunnels</topic><topic>Uncertainty analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rahimi, Yahya</creatorcontrib><creatorcontrib>Saghafian, Bahram</creatorcontrib><creatorcontrib>Banihashemi, Mohammad Ali</creatorcontrib><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Civil Engineering Abstracts</collection><jtitle>Iranian journal of science and technology. Transactions of civil engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rahimi, Yahya</au><au>Saghafian, Bahram</au><au>Banihashemi, Mohammad Ali</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis</atitle><jtitle>Iranian journal of science and technology. Transactions of civil engineering</jtitle><stitle>Iran J Sci Technol Trans Civ Eng</stitle><date>2021-12-01</date><risdate>2021</risdate><volume>45</volume><issue>4</issue><spage>2651</spage><epage>2662</epage><pages>2651-2662</pages><issn>2228-6160</issn><eissn>2364-1843</eissn><abstract>Risk-based optimization is a framework that allows the designer to involve uncertainties in the decision-making process and determine the reliability of a hydraulic structure. This study was conducted to incorporate hydrological and hydraulic uncertainties in the probabilistic design of Karun-4 diversion system in southwestern Iran. The risk-based multi-objective optimization was developed for determining the effect of uncertainty sources on the characteristics of the diversion system. For this purpose, the time series of annual maximum peak flow and maximum flood volume for a period of 58 years were prepared. Archimedean copula function and non-dominated sorting genetic algorithm were adopted. The optimal values of upstream cofferdam height, downstream cofferdam height and the diameter of the first and second tunnels were estimated as 38, 11, 9.2 and 8.8 m, respectively, all corresponding to 25-year return period. The results suggest that the proposed framework could be valuable for decision makers when economic, hydraulic and hydrological uncertainties are expected.</abstract><cop>Cham</cop><pub>Springer International Publishing</pub><doi>10.1007/s40996-020-00427-4</doi><tpages>12</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 2228-6160 |
| ispartof | Iranian journal of science and technology. Transactions of civil engineering, 2021-12, Vol.45 (4), p.2651-2662 |
| issn | 2228-6160 2364-1843 |
| language | eng |
| recordid | cdi_proquest_journals_2583095304 |
| source | SpringerLink Journals |
| subjects | Bivariate analysis Civil Engineering Cofferdams Decision making Design Engineering Frequency analysis Genetic algorithms Hydraulic structures Hydraulics Hydrology Maximum probable flood Multiple objective analysis Optimization Reliability engineering Research Paper Risk analysis Sorting algorithms Structural reliability Tunnels Uncertainty analysis |
| title | Hydrological and Hydraulic Uncertainty Analysis in Probabilistic Design of Flood Diversion Systems Using NSGAII and Bivariate Frequency Analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-17T07%3A43%3A22IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Hydrological%20and%20Hydraulic%20Uncertainty%20Analysis%20in%20Probabilistic%20Design%20of%20Flood%20Diversion%20Systems%20Using%20NSGAII%20and%20Bivariate%20Frequency%20Analysis&rft.jtitle=Iranian%20journal%20of%20science%20and%20technology.%20Transactions%20of%20civil%20engineering&rft.au=Rahimi,%20Yahya&rft.date=2021-12-01&rft.volume=45&rft.issue=4&rft.spage=2651&rft.epage=2662&rft.pages=2651-2662&rft.issn=2228-6160&rft.eissn=2364-1843&rft_id=info:doi/10.1007/s40996-020-00427-4&rft_dat=%3Cproquest_cross%3E2583095304%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2583095304&rft_id=info:pmid/&rfr_iscdi=true |