Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq
Evaporation is one of the major components of the hydrological cycle in the nature, thus its accurate estimation is so important in the planning and management of the irrigation practices and to assess water availability and requirements. The aim of this study is to investigate the ability of fuzzy...
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University of Baghdad, College of Science for Women
2012-03-01
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| Series: | مجلة بغداد للعلوم |
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| Online Access: | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/1343 |
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| description | Evaporation is one of the major components of the hydrological cycle in the nature, thus its accurate estimation is so important in the planning and management of the irrigation practices and to assess water availability and requirements. The aim of this study is to investigate the ability of fuzzy inference system for estimating monthly pan evaporation form meteorological data. The study has been carried out depending on 261 monthly measurements of each of temperature (T), relative humidity (RH), and wind speed (W) which have been available in Emara meteorological station, southern Iraq. Three different fuzzy models comprising various combinations of monthly climatic variables (temperature, wind speed, and relative humidity) were developed to evaluate effect of each of these variables on estimation process. Two error statistics namely root mean squared error and coefficient of determination were used to measure the performance of the developed models. The results indicated that the model, whose input variables are T, W, and RH, perform the best for estimating evaporation values. In addition, the model which is dominated by (T) is significantly and distinctly helps to prove the predictive ability of fuzzy inference system. Furthermore, agreements of the results with the observed measurements indicate that fuzzy logic is adequate intelligent approach for modeling the dynamic of evaporation process. |
| format | Article |
| id | doaj-art-894149e5f87a4c45adb5412406a2312a |
| institution | Kabale University |
| issn | 2078-8665 2411-7986 |
| language | English |
| publishDate | 2012-03-01 |
| publisher | University of Baghdad, College of Science for Women |
| record_format | Article |
| series | مجلة بغداد للعلوم |
| spelling | doaj-art-894149e5f87a4c45adb5412406a2312a2025-08-20T03:56:58ZengUniversity of Baghdad, College of Science for Womenمجلة بغداد للعلوم2078-86652411-79862012-03-019110.21123/bsj.9.1.133-140Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of IraqBaghdad Science JournalEvaporation is one of the major components of the hydrological cycle in the nature, thus its accurate estimation is so important in the planning and management of the irrigation practices and to assess water availability and requirements. The aim of this study is to investigate the ability of fuzzy inference system for estimating monthly pan evaporation form meteorological data. The study has been carried out depending on 261 monthly measurements of each of temperature (T), relative humidity (RH), and wind speed (W) which have been available in Emara meteorological station, southern Iraq. Three different fuzzy models comprising various combinations of monthly climatic variables (temperature, wind speed, and relative humidity) were developed to evaluate effect of each of these variables on estimation process. Two error statistics namely root mean squared error and coefficient of determination were used to measure the performance of the developed models. The results indicated that the model, whose input variables are T, W, and RH, perform the best for estimating evaporation values. In addition, the model which is dominated by (T) is significantly and distinctly helps to prove the predictive ability of fuzzy inference system. Furthermore, agreements of the results with the observed measurements indicate that fuzzy logic is adequate intelligent approach for modeling the dynamic of evaporation process.http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/1343"Fuzzy logic, Pan evaporation, Iraq, Meteorological data" |
| spellingShingle | Baghdad Science Journal Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq مجلة بغداد للعلوم "Fuzzy logic, Pan evaporation, Iraq, Meteorological data" |
| title | Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq |
| title_full | Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq |
| title_fullStr | Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq |
| title_full_unstemmed | Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq |
| title_short | Using fuzzy logic for estimating monthly pan evaporation from meteorological data in Emara/ South of Iraq |
| title_sort | using fuzzy logic for estimating monthly pan evaporation from meteorological data in emara south of iraq |
| topic | "Fuzzy logic, Pan evaporation, Iraq, Meteorological data" |
| url | http://bsj.uobaghdad.edu.iq/index.php/BSJ/article/view/1343 |
| work_keys_str_mv | AT baghdadsciencejournal usingfuzzylogicforestimatingmonthlypanevaporationfrommeteorologicaldatainemarasouthofiraq |