نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی کارشناسی ارشد، گروه مهندسی آب، دانشکده کشاورزی، دانشگاه تبریز، تبریز، ایران
2 استادیار گروه مهندسی آب دانشگاه تبریز
3 دکترای مهندسی آب، کارشناس دفتر مطالعات منابع آب، شرکت آب منطقه‌ای استان قزوین، قزوین، ایران
چکیده
کلیدواژه‌ها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Because direct measurement of evapotranspiration is costly and time-consuming, researchers have been turned to estimation of evapotranspiration via indirect approaches. The aim of this study is to investigate the capability of kernel-based, tree-based, bagging-based data driven and empirical models to estimate reference evapotranspiration. For this purpose, data related to meteorological parameters such as average temperature, hours of sunshine, maximum and minimum temperature, wind speed, precipitation and relative humidity were collected over a period of 39 years. Correlation matrix, relief algorithm and trial and error based the author’s own experience were used to select input scenarios. The performance of these methods was evaluated using correlation coefficient (R), root mean square error (RMSE), scattering index (SI), Nash Sutcliffe (NS) and Wilmot indexes (WI). Based on the results, between scenarios the scenario 13 includes maximum temperature and monthly time index based on the relief algorithm was selected as the best scenario, also on the other hand the random tree model with R=0.99, RMSE=0.04 mm/day and SI=0.01 selected as the superior method. Thus, the maximum temperature was defined as the efficient meteorological parameter for the reference evapotranspiration modeling.
کلیدواژه‌ها [English]
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