Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models
In this research, we used the meteorological parameters of Birjand Plain in South Khorasan Province during the 16-year period in order to evaluate the gamma test and to compare the accuracy of the model of least squares of the machine and experimental models to estimate evaporation. Using the gamma...
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| Format: | Article |
| Language: | fas |
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Iranian Rainwater Catchment Systems Association
2017-10-01
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| Series: | محیط زیست و مهندسی آب |
| Subjects: | |
| Online Access: | http://www.jewe.ir/article_51465_b0189685b2e04da3ff133aa2de421ac7.pdf |
| _version_ | 1827904408581570560 |
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| author | Mohadeseh Kavoosi Abbas Khasheisiuki Mohsen Pourrezabilondi Mohammad Hossein Najafi |
| author_facet | Mohadeseh Kavoosi Abbas Khasheisiuki Mohsen Pourrezabilondi Mohammad Hossein Najafi |
| author_sort | Mohadeseh Kavoosi |
| collection | DOAJ |
| description | In this research, we used the meteorological parameters of Birjand Plain in South Khorasan Province during the 16-year period in order to evaluate the gamma test and to compare the accuracy of the model of least squares of the machine and experimental models to estimate evaporation. Using the gamma test method, among the parameters affecting evaporation, the optimal input parameters were determined for modeling the evapotranspiration from among 90 specified components. Seven superior components were obtained from other combinations. Then, the optimal combination was then evaluated using the least squares model of backup vector with various kernel functions and empirical methods. The results showed that the performance of the LSSVM-poly (polynomial) model, in combination with minimum temperature, average temperature, wind speed and sunny hours with performance indices (R2 = 0.9995 and RMSE = 995) has a higher accuracy compared to the kernel functions and other experimental methods. |
| first_indexed | 2024-03-13T00:27:01Z |
| format | Article |
| id | doaj.art-5e7c62494db948b880b8b6c3fb6168fb |
| institution | Directory Open Access Journal |
| issn | 2476-3683 |
| language | fas |
| last_indexed | 2024-03-13T00:27:01Z |
| publishDate | 2017-10-01 |
| publisher | Iranian Rainwater Catchment Systems Association |
| record_format | Article |
| series | محیط زیست و مهندسی آب |
| spelling | doaj.art-5e7c62494db948b880b8b6c3fb6168fb2023-07-11T04:41:29ZfasIranian Rainwater Catchment Systems Associationمحیط زیست و مهندسی آب2476-36832017-10-013323524651465Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical ModelsMohadeseh Kavoosi0Abbas Khasheisiuki1Mohsen Pourrezabilondi2Mohammad Hossein Najafi3M.Sc., Department of Water Resources, Faculty of Natural Resources, Birjand University, Birjand, IranAssociate Prof., Department of Water Engineering, Faculty of Agriculture, Birjand University, Birjand, IranAssistant Prof., Department of Water Engineering, Faculty of Agriculture, Birjand University, Birjand, IranAssistant Prof., Department of Water Engineering, Faculty of Agriculture, Birjand University, Birjand, IranIn this research, we used the meteorological parameters of Birjand Plain in South Khorasan Province during the 16-year period in order to evaluate the gamma test and to compare the accuracy of the model of least squares of the machine and experimental models to estimate evaporation. Using the gamma test method, among the parameters affecting evaporation, the optimal input parameters were determined for modeling the evapotranspiration from among 90 specified components. Seven superior components were obtained from other combinations. Then, the optimal combination was then evaluated using the least squares model of backup vector with various kernel functions and empirical methods. The results showed that the performance of the LSSVM-poly (polynomial) model, in combination with minimum temperature, average temperature, wind speed and sunny hours with performance indices (R2 = 0.9995 and RMSE = 995) has a higher accuracy compared to the kernel functions and other experimental methods.http://www.jewe.ir/article_51465_b0189685b2e04da3ff133aa2de421ac7.pdfgamma testevaporationlssvmbirjand |
| spellingShingle | Mohadeseh Kavoosi Abbas Khasheisiuki Mohsen Pourrezabilondi Mohammad Hossein Najafi Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models محیط زیست و مهندسی آب gamma test evaporation lssvm birjand |
| title | Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models |
| title_full | Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models |
| title_fullStr | Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models |
| title_full_unstemmed | Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models |
| title_short | Evaluation of LSSVM Model to Estimation of Evaporation and its Comparison with Empirical Models |
| title_sort | evaluation of lssvm model to estimation of evaporation and its comparison with empirical models |
| topic | gamma test evaporation lssvm birjand |
| url | http://www.jewe.ir/article_51465_b0189685b2e04da3ff133aa2de421ac7.pdf |
| work_keys_str_mv | AT mohadesehkavoosi evaluationoflssvmmodeltoestimationofevaporationanditscomparisonwithempiricalmodels AT abbaskhasheisiuki evaluationoflssvmmodeltoestimationofevaporationanditscomparisonwithempiricalmodels AT mohsenpourrezabilondi evaluationoflssvmmodeltoestimationofevaporationanditscomparisonwithempiricalmodels AT mohammadhosseinnajafi evaluationoflssvmmodeltoestimationofevaporationanditscomparisonwithempiricalmodels |