Application of a simulated annealing optimization to a physically based erosion model
A major risk concerning the calibration of physically based erosion models has been partly attributable to the lack of robust optimization tools. This paper presents the essential concepts and application to optimize the erosion parameters of an erosion model using data collected in an experimental...
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| Veröffentlicht in: | Water science and technology 2012-01, Vol.66 (10), p.2099-2108 |
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| creator | Santos, C A G Freire, P K M M Arruda, P M |
| description | A major risk concerning the calibration of physically based erosion models has been partly attributable to the lack of robust optimization tools. This paper presents the essential concepts and application to optimize the erosion parameters of an erosion model using data collected in an experimental basin, with a global optimization method known as simulated annealing (SA) which is suitable for solving optimization problems of large scales. The physically based erosion model that was chosen to be optimized here is the Watershed Erosion Simulation Program (WESP), which was developed for small basins to generate the hydrograph and the respective sedigraph. The field data were collected in an experimental basin located in a semiarid region of Brazil. On the basis of these results, the following erosion parameters were optimized: the soil moisture-tension parameter (N(s)) that depends also on the initial moisture content, the channel erosion parameter (a), the soil detachability factor (K(R)), and the sediment entrainment parameter by rainfall impact (K(I)), whose values could serve as initial estimates for semiarid regions within northeastern Brazil. |
| doi_str_mv | 10.2166/wst.2012.426 |
| format | Article |
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This paper presents the essential concepts and application to optimize the erosion parameters of an erosion model using data collected in an experimental basin, with a global optimization method known as simulated annealing (SA) which is suitable for solving optimization problems of large scales. The physically based erosion model that was chosen to be optimized here is the Watershed Erosion Simulation Program (WESP), which was developed for small basins to generate the hydrograph and the respective sedigraph. The field data were collected in an experimental basin located in a semiarid region of Brazil. On the basis of these results, the following erosion parameters were optimized: the soil moisture-tension parameter (N(s)) that depends also on the initial moisture content, the channel erosion parameter (a), the soil detachability factor (K(R)), and the sediment entrainment parameter by rainfall impact (K(I)), whose values could serve as initial estimates for semiarid regions within northeastern Brazil.</description><identifier>ISSN: 0273-1223</identifier><identifier>EISSN: 1996-9732</identifier><identifier>DOI: 10.2166/wst.2012.426</identifier><identifier>PMID: 22949239</identifier><language>eng</language><publisher>England: IWA Publishing</publisher><subject>Algorithms ; Annealing ; Basins ; Calibration ; Channel erosion ; Computer Simulation ; Conservation of Natural Resources ; Data processing ; Entrainment ; Environment ; Environmental Monitoring - methods ; Erosion ; Experimental basins ; Geologic Sediments ; Global optimization ; Hydrology ; Kinematics ; Mathematical functions ; Mathematical models ; Models, Theoretical ; Moisture content ; Optimization ; Parameters ; Rain ; Rainfall ; Rainfall impact ; Runoff ; Sediments ; Semiarid lands ; Simulated annealing ; Soil ; Soil erosion ; Soil moisture ; Water content ; Watersheds</subject><ispartof>Water science and technology, 2012-01, Vol.66 (10), p.2099-2108</ispartof><rights>Copyright IWA Publishing Sep 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a375t-eab414d997896c1e9381b614e3d07a56cd612548e5d0b66ca55127b9b953ec873</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22949239$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Santos, C A G</creatorcontrib><creatorcontrib>Freire, P K M M</creatorcontrib><creatorcontrib>Arruda, P M</creatorcontrib><title>Application of a simulated annealing optimization to a physically based erosion model</title><title>Water science and technology</title><addtitle>Water Sci Technol</addtitle><description>A major risk concerning the calibration of physically based erosion models has been partly attributable to the lack of robust optimization tools. This paper presents the essential concepts and application to optimize the erosion parameters of an erosion model using data collected in an experimental basin, with a global optimization method known as simulated annealing (SA) which is suitable for solving optimization problems of large scales. The physically based erosion model that was chosen to be optimized here is the Watershed Erosion Simulation Program (WESP), which was developed for small basins to generate the hydrograph and the respective sedigraph. The field data were collected in an experimental basin located in a semiarid region of Brazil. On the basis of these results, the following erosion parameters were optimized: the soil moisture-tension parameter (N(s)) that depends also on the initial moisture content, the channel erosion parameter (a), the soil detachability factor (K(R)), and the sediment entrainment parameter by rainfall impact (K(I)), whose values could serve as initial estimates for semiarid regions within northeastern Brazil.</description><subject>Algorithms</subject><subject>Annealing</subject><subject>Basins</subject><subject>Calibration</subject><subject>Channel erosion</subject><subject>Computer Simulation</subject><subject>Conservation of Natural Resources</subject><subject>Data processing</subject><subject>Entrainment</subject><subject>Environment</subject><subject>Environmental Monitoring - methods</subject><subject>Erosion</subject><subject>Experimental basins</subject><subject>Geologic Sediments</subject><subject>Global optimization</subject><subject>Hydrology</subject><subject>Kinematics</subject><subject>Mathematical functions</subject><subject>Mathematical models</subject><subject>Models, Theoretical</subject><subject>Moisture content</subject><subject>Optimization</subject><subject>Parameters</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Rainfall impact</subject><subject>Runoff</subject><subject>Sediments</subject><subject>Semiarid lands</subject><subject>Simulated annealing</subject><subject>Soil</subject><subject>Soil erosion</subject><subject>Soil moisture</subject><subject>Water content</subject><subject>Watersheds</subject><issn>0273-1223</issn><issn>1996-9732</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0TtPwzAUBWALgWgpbMwoEgsDKbavH_FYIV4SEgudLSdxwZUThzgRKr8eVy0MLEwe_N0jHR2EzgmeUyLEzWcc5hQTOmdUHKApUUrkSgI9RFNMJeSEUpigkxjXGGMJDB-jCaWKKQpqipaLrvOuMoMLbRZWmcmia0ZvBltnpm2t8a59y0I3uMZ97dQQkureNzGdeb_JShMTtn2I298m1NafoqOV8dGe7d8ZWt7fvd4-5s8vD0-3i-fcgORDbk3JCKuVkoUSFbEKClIKwizUWBouqloQyllheY1LISrDOaGyVKXiYKtCwgxd7XK7PnyMNg66cbGy3pvWhjFqwlJfwgUr_qcYCkoLDjzRyz90Hca-TUU0UQykxAAsqeudqlLz2NuV7nrXmH6TovR2GZ2W0dtldFom8Yt96Fg2tv7FP1PAN4m_iEI</recordid><startdate>20120101</startdate><enddate>20120101</enddate><creator>Santos, C A G</creator><creator>Freire, P K M M</creator><creator>Arruda, P M</creator><general>IWA Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8FE</scope><scope>8FG</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H96</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>L6V</scope><scope>M0S</scope><scope>M1P</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>7X8</scope><scope>7ST</scope><scope>SOI</scope></search><sort><creationdate>20120101</creationdate><title>Application of a simulated annealing optimization to a physically based erosion model</title><author>Santos, C A G ; Freire, P K M M ; Arruda, P M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a375t-eab414d997896c1e9381b614e3d07a56cd612548e5d0b66ca55127b9b953ec873</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Algorithms</topic><topic>Annealing</topic><topic>Basins</topic><topic>Calibration</topic><topic>Channel erosion</topic><topic>Computer Simulation</topic><topic>Conservation of Natural Resources</topic><topic>Data processing</topic><topic>Entrainment</topic><topic>Environment</topic><topic>Environmental Monitoring - 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Academic</collection><collection>Environment Abstracts</collection><collection>Environment Abstracts</collection><jtitle>Water science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Santos, C A G</au><au>Freire, P K M M</au><au>Arruda, P M</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of a simulated annealing optimization to a physically based erosion model</atitle><jtitle>Water science and technology</jtitle><addtitle>Water Sci Technol</addtitle><date>2012-01-01</date><risdate>2012</risdate><volume>66</volume><issue>10</issue><spage>2099</spage><epage>2108</epage><pages>2099-2108</pages><issn>0273-1223</issn><eissn>1996-9732</eissn><abstract>A major risk concerning the calibration of physically based erosion models has been partly attributable to the lack of robust optimization tools. This paper presents the essential concepts and application to optimize the erosion parameters of an erosion model using data collected in an experimental basin, with a global optimization method known as simulated annealing (SA) which is suitable for solving optimization problems of large scales. The physically based erosion model that was chosen to be optimized here is the Watershed Erosion Simulation Program (WESP), which was developed for small basins to generate the hydrograph and the respective sedigraph. The field data were collected in an experimental basin located in a semiarid region of Brazil. On the basis of these results, the following erosion parameters were optimized: the soil moisture-tension parameter (N(s)) that depends also on the initial moisture content, the channel erosion parameter (a), the soil detachability factor (K(R)), and the sediment entrainment parameter by rainfall impact (K(I)), whose values could serve as initial estimates for semiarid regions within northeastern Brazil.</abstract><cop>England</cop><pub>IWA Publishing</pub><pmid>22949239</pmid><doi>10.2166/wst.2012.426</doi><tpages>10</tpages></addata></record> |
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| ispartof | Water science and technology, 2012-01, Vol.66 (10), p.2099-2108 |
| issn | 0273-1223 1996-9732 |
| language | eng |
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| source | MEDLINE; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Algorithms Annealing Basins Calibration Channel erosion Computer Simulation Conservation of Natural Resources Data processing Entrainment Environment Environmental Monitoring - methods Erosion Experimental basins Geologic Sediments Global optimization Hydrology Kinematics Mathematical functions Mathematical models Models, Theoretical Moisture content Optimization Parameters Rain Rainfall Rainfall impact Runoff Sediments Semiarid lands Simulated annealing Soil Soil erosion Soil moisture Water content Watersheds |
| title | Application of a simulated annealing optimization to a physically based erosion model |
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