این سایت در حال حاضر پشتیبانی نمی شود و امکان دارد داده های نشریات بروز نباشند
Environmental Resources Research، جلد ۷، شماره ۱، صفحات ۲۹-۴۲
عنوان فارسی
چکیده فارسی مقاله
کلیدواژه‌های فارسی مقاله
عنوان انگلیسی Derivation of regression models for pan evaporation estimation
چکیده انگلیسی مقاله Evaporation is an essential component of hydrological cycle. Several meteorologicalfactors play role in the amount of pan evaporation. These factors are often related to eachother. In this study, a multiple linear regression (MLR) in conjunction with PrincipalComponent Analysis (PCA) was used for modeling of pan evaporation. After thestandardization of the variables, independent components were obtained using the (PCA).The series of principal component scores were used as input in multiple linear regressionmodels. This method was applied to four stations in East Azerbaijan Province in the NorthWest of Iran. Mathematical models of pan evaporation were derived for each station. Theresults showed that the first three components in all four stations account for more than90% of the data variance. Performance criteria, namely coefficient of determination (R2)and root mean square error (RMSE), were calculated for models in each station. The resultsshowed that in all the PCA-MLR models, the R2 value was greater than 0.74 (significant atthe 5% level) and the RMSE was less than 0.52 mm per day. In general, the results showedan improvement in the results using combination of PCA and MLR models for panevaporation estimation.
کلیدواژه‌های انگلیسی مقاله
نویسندگان مقاله Majid Jafari |
university of Tabriz, water resources management, Tabriz. IRAN

Yaghob Dinpashoh |
Department of Water Engineering, Faculty of Agriculture, University of Tabriz, Iran

نشانی اینترنتی http://ijerr.gau.ac.ir/article_4642_6a6e3209acf5c71e68f6e4b7af9f668c.pdf
فایل مقاله اشکال در دسترسی به فایل - ./files/site1/rds_journals/393/article-393-1784816.pdf
کد مقاله (doi)
زبان مقاله منتشر شده en
موضوعات مقاله منتشر شده
نوع مقاله منتشر شده
برگشت به: صفحه اول پایگاه   |   نسخه مرتبط   |   نشریه مرتبط   |   فهرست نشریات