Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers
Accurate estimation of solute transport has significant importance in water resources and environmental engineering. Among the various types of mathematical formulation for modeling of solute transport, the transient storage model has been widely applied by different researchers as an appropriate mo...
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| Veröffentlicht in: | Water resources management 2020-03, Vol.34 (4), p.1453-1464 |
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| creator | Madadi, Mohamad Reza Akbarifard, Saeid Qaderi, Kourosh |
| description | Accurate estimation of solute transport has significant importance in water resources and environmental engineering. Among the various types of mathematical formulation for modeling of solute transport, the transient storage model has been widely applied by different researchers as an appropriate model. In this study, an improved version of symbiotic organism search (SOS) algorithm was used to estimate the parameters of transient storage model. A large set of data from natural rivers of USA was collected from the literature and used for derivation and validation of the algorithm. The performance of the algorithm was evaluated by standard statistical indices. Accordingly, the values of
R
and
RMSE
for transient storage model parameters (K
f
, T and ε) were obtained 0.922 and 30.62 (for K
f
), 0.596 and 5645 (for T) and, 0.643 and 0.019 (for ε) for whole dataset. In addition, the results of this study were compared with those obtained by different reserachers via other models. The results indicate the higher capability of improved SOS algorithim compared to the others in estimating the transient storage model parameters. |
| doi_str_mv | 10.1007/s11269-020-02512-9 |
| format | Article |
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R
and
RMSE
for transient storage model parameters (K
f
, T and ε) were obtained 0.922 and 30.62 (for K
f
), 0.596 and 5645 (for T) and, 0.643 and 0.019 (for ε) for whole dataset. In addition, the results of this study were compared with those obtained by different reserachers via other models. The results indicate the higher capability of improved SOS algorithim compared to the others in estimating the transient storage model parameters.</description><identifier>ISSN: 0920-4741</identifier><identifier>EISSN: 1573-1650</identifier><identifier>DOI: 10.1007/s11269-020-02512-9</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Algorithms ; Atmospheric Sciences ; Civil Engineering ; Earth and Environmental Science ; Earth Sciences ; Environment ; Environmental engineering ; Geotechnical Engineering & Applied Earth Sciences ; Hydrogeology ; Hydrology/Water Resources ; Mathematical models ; Parameter estimation ; Parameters ; Performance evaluation ; Rivers ; Search algorithms ; Solute transport ; Solutes ; Statistical analysis ; Storage ; Symbionts ; Transport ; Water resources</subject><ispartof>Water resources management, 2020-03, Vol.34 (4), p.1453-1464</ispartof><rights>Springer Nature B.V. 2020</rights><rights>Springer Nature B.V. 2020.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-78277ce38e8404a6cd1a2f43398bb85e4123673a2adef6a052a14bf48dcfedc63</citedby><cites>FETCH-LOGICAL-c319t-78277ce38e8404a6cd1a2f43398bb85e4123673a2adef6a052a14bf48dcfedc63</cites><orcidid>0000-0002-6734-7944</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/s11269-020-02512-9$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s11269-020-02512-9$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Madadi, Mohamad Reza</creatorcontrib><creatorcontrib>Akbarifard, Saeid</creatorcontrib><creatorcontrib>Qaderi, Kourosh</creatorcontrib><title>Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers</title><title>Water resources management</title><addtitle>Water Resour Manage</addtitle><description>Accurate estimation of solute transport has significant importance in water resources and environmental engineering. Among the various types of mathematical formulation for modeling of solute transport, the transient storage model has been widely applied by different researchers as an appropriate model. In this study, an improved version of symbiotic organism search (SOS) algorithm was used to estimate the parameters of transient storage model. A large set of data from natural rivers of USA was collected from the literature and used for derivation and validation of the algorithm. The performance of the algorithm was evaluated by standard statistical indices. Accordingly, the values of
R
and
RMSE
for transient storage model parameters (K
f
, T and ε) were obtained 0.922 and 30.62 (for K
f
), 0.596 and 5645 (for T) and, 0.643 and 0.019 (for ε) for whole dataset. In addition, the results of this study were compared with those obtained by different reserachers via other models. The results indicate the higher capability of improved SOS algorithim compared to the others in estimating the transient storage model parameters.</description><subject>Algorithms</subject><subject>Atmospheric Sciences</subject><subject>Civil Engineering</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Environment</subject><subject>Environmental engineering</subject><subject>Geotechnical Engineering & Applied Earth Sciences</subject><subject>Hydrogeology</subject><subject>Hydrology/Water Resources</subject><subject>Mathematical models</subject><subject>Parameter estimation</subject><subject>Parameters</subject><subject>Performance evaluation</subject><subject>Rivers</subject><subject>Search algorithms</subject><subject>Solute transport</subject><subject>Solutes</subject><subject>Statistical analysis</subject><subject>Storage</subject><subject>Symbionts</subject><subject>Transport</subject><subject>Water 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algorithms</topic><topic>Solute transport</topic><topic>Solutes</topic><topic>Statistical analysis</topic><topic>Storage</topic><topic>Symbionts</topic><topic>Transport</topic><topic>Water resources</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Madadi, Mohamad Reza</creatorcontrib><creatorcontrib>Akbarifard, Saeid</creatorcontrib><creatorcontrib>Qaderi, Kourosh</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Global (Alumni Edition)</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest 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Reza</au><au>Akbarifard, Saeid</au><au>Qaderi, Kourosh</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers</atitle><jtitle>Water resources management</jtitle><stitle>Water Resour Manage</stitle><date>2020-03-01</date><risdate>2020</risdate><volume>34</volume><issue>4</issue><spage>1453</spage><epage>1464</epage><pages>1453-1464</pages><issn>0920-4741</issn><eissn>1573-1650</eissn><abstract>Accurate estimation of solute transport has significant importance in water resources and environmental engineering. Among the various types of mathematical formulation for modeling of solute transport, the transient storage model has been widely applied by different researchers as an appropriate model. In this study, an improved version of symbiotic organism search (SOS) algorithm was used to estimate the parameters of transient storage model. A large set of data from natural rivers of USA was collected from the literature and used for derivation and validation of the algorithm. The performance of the algorithm was evaluated by standard statistical indices. Accordingly, the values of
R
and
RMSE
for transient storage model parameters (K
f
, T and ε) were obtained 0.922 and 30.62 (for K
f
), 0.596 and 5645 (for T) and, 0.643 and 0.019 (for ε) for whole dataset. In addition, the results of this study were compared with those obtained by different reserachers via other models. The results indicate the higher capability of improved SOS algorithim compared to the others in estimating the transient storage model parameters.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s11269-020-02512-9</doi><tpages>12</tpages><orcidid>https://orcid.org/0000-0002-6734-7944</orcidid></addata></record> |
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| ispartof | Water resources management, 2020-03, Vol.34 (4), p.1453-1464 |
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| source | Springer Nature - Complete Springer Journals |
| subjects | Algorithms Atmospheric Sciences Civil Engineering Earth and Environmental Science Earth Sciences Environment Environmental engineering Geotechnical Engineering & Applied Earth Sciences Hydrogeology Hydrology/Water Resources Mathematical models Parameter estimation Parameters Performance evaluation Rivers Search algorithms Solute transport Solutes Statistical analysis Storage Symbionts Transport Water resources |
| title | Performance Evaluation of Improved Symbiotic Organism Search Algorithm for Estimation of Solute Transport in Rivers |
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