Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling
Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management. It is difficult to obtain an accurate formula for ETO estimation that is suitable to encompass all environments, because evapotranspiration is an incidental, nonlin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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American-Eurasian Network for Scientific Information
2010
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| Online Access: | http://psasir.upm.edu.my/id/eprint/23151/ http://psasir.upm.edu.my/id/eprint/23151/1/Deciding%20the%20embedding%20nonlinear%20model%20dimensions%20and%20data%20size%20prior%20to%20daily%20reference%20evapotranspiration%20modeling.pdf |
| _version_ | 1848844677120262144 |
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| author | Karimaldini, Fatemeh Lee, Teang Shui Abdollahi, Mohammadreza Khalili, Najmeh |
| author_facet | Karimaldini, Fatemeh Lee, Teang Shui Abdollahi, Mohammadreza Khalili, Najmeh |
| author_sort | Karimaldini, Fatemeh |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management. It is difficult to obtain an accurate formula for ETO estimation that is suitable to encompass all environments, because evapotranspiration is an incidental, nonlinear, complex and unsteady process. Soft computing models are able to handle noisy data from a dynamic and nonlinear system such as the evapotranspiration process. But, they do not have the ability of pre-processing before model development. In this study, the Gamma Test (GT) technique is applied to find the best input combination and number of sufficient data points for evapotranspiration modeling under humid and arid conditions. It was found that the minimum required variables to construct a good nonlinear model under arid conditions are the minimum and maximum air temperature and wind speed data. For humid conditions the minimum and maximum air temperature, solar radiation and mean relative humidity are the most effective variables. |
| first_indexed | 2025-11-15T08:34:43Z |
| format | Article |
| id | upm-23151 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T08:34:43Z |
| publishDate | 2010 |
| publisher | American-Eurasian Network for Scientific Information |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-231512015-12-09T06:25:16Z http://psasir.upm.edu.my/id/eprint/23151/ Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling Karimaldini, Fatemeh Lee, Teang Shui Abdollahi, Mohammadreza Khalili, Najmeh Evapotranspiration is an integral part of the hydrologic cycle and an important component in water resource development and management. It is difficult to obtain an accurate formula for ETO estimation that is suitable to encompass all environments, because evapotranspiration is an incidental, nonlinear, complex and unsteady process. Soft computing models are able to handle noisy data from a dynamic and nonlinear system such as the evapotranspiration process. But, they do not have the ability of pre-processing before model development. In this study, the Gamma Test (GT) technique is applied to find the best input combination and number of sufficient data points for evapotranspiration modeling under humid and arid conditions. It was found that the minimum required variables to construct a good nonlinear model under arid conditions are the minimum and maximum air temperature and wind speed data. For humid conditions the minimum and maximum air temperature, solar radiation and mean relative humidity are the most effective variables. American-Eurasian Network for Scientific Information 2010-11 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/23151/1/Deciding%20the%20embedding%20nonlinear%20model%20dimensions%20and%20data%20size%20prior%20to%20daily%20reference%20evapotranspiration%20modeling.pdf Karimaldini, Fatemeh and Lee, Teang Shui and Abdollahi, Mohammadreza and Khalili, Najmeh (2010) Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling. Australian Journal of Basic and Applied Sciences, 4 (11). pp. 5668-5674. ISSN 1991-8178 http://ajbasweb.com/old/ajbas_November_2010.html |
| spellingShingle | Karimaldini, Fatemeh Lee, Teang Shui Abdollahi, Mohammadreza Khalili, Najmeh Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title | Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title_full | Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title_fullStr | Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title_full_unstemmed | Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title_short | Deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| title_sort | deciding the embedding nonlinear model dimensions and data size prior to daily reference evapotranspiration modeling |
| url | http://psasir.upm.edu.my/id/eprint/23151/ http://psasir.upm.edu.my/id/eprint/23151/ http://psasir.upm.edu.my/id/eprint/23151/1/Deciding%20the%20embedding%20nonlinear%20model%20dimensions%20and%20data%20size%20prior%20to%20daily%20reference%20evapotranspiration%20modeling.pdf |