ESTIMATION OF DAILY REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA IN SELECTED IRAN’S SEMI-ARID CLIMATES

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BAKHTIARI B.; MOHEBBI DEHAGHANI A.; QADERI K.

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Journal: IRAN-WATER RESOURCES RESEARCH Year:2016 | Volume:11 | Issue:3 (34) Page(s): 131-144

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Title

ESTIMATION OF DAILY REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA IN SELECTED IRAN’S SEMI-ARID CLIMATES

Author(s)

BAKHTIARI B. | MOHEBBI DEHAGHANI A. | QADERI K. | Issue Writer Certificate

Keywords

DAILY REFERENCE EVAPOTRANSPIRATIONQ2

EMPIRICAL EQUATIONSQ2

SEMI-ARID CLIMATESQ3

ANFISQ2

SVMQ1

M5Q2

Abstract

Accurate estimation of evapotranspiration has a great influence on water resources management and planning, especially in arid and semi-arid areas. Different methods have been presented by researchers for evapotranspiration estimation. These include a variety of EMPIRICAL EQUATIONS and data-driven methods. In this study to estimate the DAILY REFERENCE EVAPOTRANSPIRATION at eight SEMI-ARID CLIMATES in Iran, three methods based on the adaptive network-based fuzzy inference system (ANFIS), support vector machines (SVM), and model tree (M5) as well as five empirical equation were used. Meteorological data including maximum and minimum temperatures, relative humidity, wind speed, and the sunshine hours were used.Eleven different combinations of these variables have been used as input variables in data-driven methods forevapotranspiration modeling for the period of 1980 to 2009.Eighty percent of the data were used for the trainingand twenty percent were used to test the models.The results were compared with those of thestandard Penman-Monteith FAO-56 equation. Performance of the methods was evaluated using statistical indices of mean square of error (RMSE), coefficient of determination (R2), and index of agreement (d).Support vector machines and adaptive networks based on fuzzy inference system methods presented best performance with RMSE between 0.24~1.55 (mm.day-1) in nine combination of meteorological variables. RMSE of EMPIRICAL EQUATIONS varied between 0.71~5.96 (mm day-1). Blaney-Criddle and McGunness-Bordne equation presented the highest accuracy in most stations. M5 model has a lower performance compared to ANFIS and SVM methods in the studied climates.

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APA: Copy

BAKHTIARI, B., MOHEBBI DEHAGHANI, A., & QADERI, K.. (2016). ESTIMATION OF DAILY REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA IN SELECTED IRAN’S SEMI-ARID CLIMATES. IRAN-WATER RESOURCES RESEARCH, 11(3 (34)), 131-144. SID. https://sid.ir/paper/99946/en

Vancouver: Copy

BAKHTIARI B., MOHEBBI DEHAGHANI A., QADERI K.. ESTIMATION OF DAILY REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA IN SELECTED IRAN’S SEMI-ARID CLIMATES. IRAN-WATER RESOURCES RESEARCH[Internet]. 2016;11(3 (34)):131-144. Available from: https://sid.ir/paper/99946/en

IEEE: Copy

B. BAKHTIARI, A. MOHEBBI DEHAGHANI, and K. QADERI, “ESTIMATION OF DAILY REFERENCE EVAPOTRANSPIRATION WITH LIMITED METEOROLOGICAL DATA IN SELECTED IRAN’S SEMI-ARID CLIMATES,” IRAN-WATER RESOURCES RESEARCH, vol. 11, no. 3 (34), pp. 131–144, 2016, [Online]. Available: https://sid.ir/paper/99946/en

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