A multicriteria fuzzy approximate reasoning approach for risk assessment of dam safety
The benefits of dams are unquestionable, with the water impoundment upstream and flood-control downstream usually being sufficient to increase investments and promote growth. However, their presence brings risks to the downstream population and the environment. This paper employs a fuzzy approximate...
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Veröffentlicht in: | Environmental earth sciences 2019-08, Vol.78 (16), p.1-15, Article 514 |
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description | The benefits of dams are unquestionable, with the water impoundment upstream and flood-control downstream usually being sufficient to increase investments and promote growth. However, their presence brings risks to the downstream population and the environment. This paper employs a fuzzy approximate reasoning for dam safety risk assessment, initially using a FAHP to weight the importance of the indicators suggested by a dam expert and then adopts linguistic variables in a two-stage risk assessment. In the first stage, we compute the risk of dam collapse, hereinafter called dam break, through indicators such as design premises and safety procedures. In the second stage, we evaluate the combined effect between the risk of a dam collapse and the socioeconomic and environmental impact on the surrounding area, hereinafter called potential risk. The danger scale of dam break and the hazard scale of potential risk were constructed. The risk assessment of the Simplicio Hydroelectric plant, located in Brazil’s Southern region, showed that the risk classification of the proposed method attached great importance to the downstream consequences. The accuracy of the evaluation results was proved through a study of the Oroville Dam, whose spillway faced a failure event. These findings indicate the importance of extracting the knowledge of experts and incorporating it in the model specification through fuzzification of variables and the rule-based construction. |
doi_str_mv | 10.1007/s12665-019-8526-3 |
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However, their presence brings risks to the downstream population and the environment. This paper employs a fuzzy approximate reasoning for dam safety risk assessment, initially using a FAHP to weight the importance of the indicators suggested by a dam expert and then adopts linguistic variables in a two-stage risk assessment. In the first stage, we compute the risk of dam collapse, hereinafter called dam break, through indicators such as design premises and safety procedures. In the second stage, we evaluate the combined effect between the risk of a dam collapse and the socioeconomic and environmental impact on the surrounding area, hereinafter called potential risk. The danger scale of dam break and the hazard scale of potential risk were constructed. The risk assessment of the Simplicio Hydroelectric plant, located in Brazil’s Southern region, showed that the risk classification of the proposed method attached great importance to the downstream consequences. The accuracy of the evaluation results was proved through a study of the Oroville Dam, whose spillway faced a failure event. These findings indicate the importance of extracting the knowledge of experts and incorporating it in the model specification through fuzzification of variables and the rule-based construction.</description><identifier>ISSN: 1866-6280</identifier><identifier>EISSN: 1866-6299</identifier><identifier>DOI: 10.1007/s12665-019-8526-3</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Biogeosciences ; Collapse ; Computational fluid dynamics ; Dam engineering ; Dam failure ; Dam safety ; Dams ; Downstream ; Downstream effects ; Earth and Environmental Science ; Earth Sciences ; Environmental impact ; Environmental Science and Engineering ; Flood control ; Fuzzy logic ; Geochemistry ; Geology ; Hazards ; Hydroelectric plants ; Hydroelectric power ; Hydrology/Water Resources ; Indicators ; Investment ; Multiple criterion ; Original Article ; Procedures ; Reasoning ; Risk assessment ; Safety ; Safety engineering ; Socioeconomic factors ; Spillways ; Terrestrial Pollution</subject><ispartof>Environmental earth sciences, 2019-08, Vol.78 (16), p.1-15, Article 514</ispartof><rights>Springer-Verlag GmbH Germany, part of Springer Nature 2019</rights><rights>Environmental Earth Sciences is a copyright of Springer, (2019). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-3966eb55e00541a17688f759688cbca5fc913c5d06b9d011b1dcd2c4e8fe99b13</citedby><cites>FETCH-LOGICAL-c316t-3966eb55e00541a17688f759688cbca5fc913c5d06b9d011b1dcd2c4e8fe99b13</cites><orcidid>0000-0003-0657-8527 ; 0000-0003-4777-5041</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12665-019-8526-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12665-019-8526-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,41488,42557,51319</link.rule.ids></links><search><creatorcontrib>Ribas, José Roberto</creatorcontrib><creatorcontrib>Pérez-Díaz, Juan Ignacio</creatorcontrib><title>A multicriteria fuzzy approximate reasoning approach for risk assessment of dam safety</title><title>Environmental earth sciences</title><addtitle>Environ Earth Sci</addtitle><description>The benefits of dams are unquestionable, with the water impoundment upstream and flood-control downstream usually being sufficient to increase investments and promote growth. However, their presence brings risks to the downstream population and the environment. This paper employs a fuzzy approximate reasoning for dam safety risk assessment, initially using a FAHP to weight the importance of the indicators suggested by a dam expert and then adopts linguistic variables in a two-stage risk assessment. In the first stage, we compute the risk of dam collapse, hereinafter called dam break, through indicators such as design premises and safety procedures. In the second stage, we evaluate the combined effect between the risk of a dam collapse and the socioeconomic and environmental impact on the surrounding area, hereinafter called potential risk. The danger scale of dam break and the hazard scale of potential risk were constructed. The risk assessment of the Simplicio Hydroelectric plant, located in Brazil’s Southern region, showed that the risk classification of the proposed method attached great importance to the downstream consequences. The accuracy of the evaluation results was proved through a study of the Oroville Dam, whose spillway faced a failure event. These findings indicate the importance of extracting the knowledge of experts and incorporating it in the model specification through fuzzification of variables and the rule-based construction.</description><subject>Biogeosciences</subject><subject>Collapse</subject><subject>Computational fluid dynamics</subject><subject>Dam engineering</subject><subject>Dam failure</subject><subject>Dam safety</subject><subject>Dams</subject><subject>Downstream</subject><subject>Downstream effects</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environmental impact</subject><subject>Environmental Science and Engineering</subject><subject>Flood control</subject><subject>Fuzzy logic</subject><subject>Geochemistry</subject><subject>Geology</subject><subject>Hazards</subject><subject>Hydroelectric plants</subject><subject>Hydroelectric power</subject><subject>Hydrology/Water Resources</subject><subject>Indicators</subject><subject>Investment</subject><subject>Multiple criterion</subject><subject>Original Article</subject><subject>Procedures</subject><subject>Reasoning</subject><subject>Risk assessment</subject><subject>Safety</subject><subject>Safety engineering</subject><subject>Socioeconomic factors</subject><subject>Spillways</subject><subject>Terrestrial Pollution</subject><issn>1866-6280</issn><issn>1866-6299</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2019</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1UMtOwzAQtBBIVKUfwM0S54DXrp34WFU8KlXiAlwtx7FLSpMUbyLRfj2uguDEXma1mpndHUKugd0CY_kdAldKZgx0VkiuMnFGJlAolSmu9flvX7BLMkPcslQChGZqQt4WtBl2fe1i3ftYWxqG4_FA7X4fu6-6sb2n0Vvs2rrdjFPr3mnoIo01flCL6BEb3_a0C7SyDUUbfH-4IhfB7tDPfnBKXh_uX5ZP2fr5cbVcrDMnQPWZ0Er5UkrPmJyDhVwVRcilTuBKZ2VwGoSTFVOlrhhACZWruJv7InitSxBTcjP6psM-B4-92XZDbNNKw3nOhAKQPLFgZLnYIUYfzD6m3-LBADOnBM2YoEkJmlOCRiQNHzWYuO3Gxz_n_0XfCaJ0JA</recordid><startdate>20190801</startdate><enddate>20190801</enddate><creator>Ribas, José Roberto</creator><creator>Pérez-Díaz, Juan Ignacio</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-0657-8527</orcidid><orcidid>https://orcid.org/0000-0003-4777-5041</orcidid></search><sort><creationdate>20190801</creationdate><title>A multicriteria fuzzy approximate reasoning approach for risk assessment of dam safety</title><author>Ribas, José Roberto ; 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However, their presence brings risks to the downstream population and the environment. This paper employs a fuzzy approximate reasoning for dam safety risk assessment, initially using a FAHP to weight the importance of the indicators suggested by a dam expert and then adopts linguistic variables in a two-stage risk assessment. In the first stage, we compute the risk of dam collapse, hereinafter called dam break, through indicators such as design premises and safety procedures. In the second stage, we evaluate the combined effect between the risk of a dam collapse and the socioeconomic and environmental impact on the surrounding area, hereinafter called potential risk. The danger scale of dam break and the hazard scale of potential risk were constructed. The risk assessment of the Simplicio Hydroelectric plant, located in Brazil’s Southern region, showed that the risk classification of the proposed method attached great importance to the downstream consequences. The accuracy of the evaluation results was proved through a study of the Oroville Dam, whose spillway faced a failure event. These findings indicate the importance of extracting the knowledge of experts and incorporating it in the model specification through fuzzification of variables and the rule-based construction.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><doi>10.1007/s12665-019-8526-3</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-0657-8527</orcidid><orcidid>https://orcid.org/0000-0003-4777-5041</orcidid></addata></record> |
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subjects | Biogeosciences Collapse Computational fluid dynamics Dam engineering Dam failure Dam safety Dams Downstream Downstream effects Earth and Environmental Science Earth Sciences Environmental impact Environmental Science and Engineering Flood control Fuzzy logic Geochemistry Geology Hazards Hydroelectric plants Hydroelectric power Hydrology/Water Resources Indicators Investment Multiple criterion Original Article Procedures Reasoning Risk assessment Safety Safety engineering Socioeconomic factors Spillways Terrestrial Pollution |
title | A multicriteria fuzzy approximate reasoning approach for risk assessment of dam safety |
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