PREDICTION OF MONTHLY GRASS REFERENCE CROP EVAPOTRANSPIRATION IN NORTHWEST OF IRAN USING GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE

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AHMADI F.; RADMANEH F.; MIRABBASI NAJAF ABADI R.L.; AYASHM S.

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Journal: Iranian Journal of Irrigation and Drainage Year:2015 | Volume:9 | Issue:1 Page(s): 54-65

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Title

PREDICTION OF MONTHLY GRASS REFERENCE CROP EVAPOTRANSPIRATION IN NORTHWEST OF IRAN USING GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE

Author(s)

AHMADI F. | RADMANEH F. | MIRABBASI NAJAF ABADI R.L. | AYASHM S. | Issue Writer Certificate

Keywords

GENETIC PROGRAMMINGQ2

MEMORY OF TIME SERIESQ3

GRASS REFERENCE CROP EVAPOTRANSPIRATIONQ2

SUPPORT VECTOR MACHINEQ1

Abstract

In this study, for estimating GRASS REFERENCE CROP EVAPOTRANSPIRATION using SUPPORT VECTOR MACHINE (SVM) and GENETIC PROGRAMMING (GP) techniques, monthly meteorological data of 6 synoptic stations in northwest of Iran during a 38 year period (1973-2010) were collected. At first, the monthly GRASS REFERENCE CROP EVAPOTRANSPIRATION values for selected station were calculated using the FAO-56 Penman-Monteith equation and considered as the output of SVM and GP models. In the next step, a regression equation was made based on effective climatic variables on evapotranspiration and different input patterns were defined for developing SVM and GP models.Since the relative humidity had the lowest effect on evapotranspiration, it was removed from the model’s input variables. In order to consider the effect of MEMORY OF TIME SERIES in the accuracy of evapotranspiration prediction, the evapotranspiration values with one, two, three, four and five months lag time were used in model’s input patterns. Ten input patterns were made for every model. However, the obtained results showed the high accuracy of both SVM and GP models in predicting monthly GRASS REFERENCE CROP EVAPOTRANSPIRATION in northwest of Iran, but the SVM method had better performance than GP method. Also, the results showed that if there is no enough meteorological data, the MEMORY OF TIME SERIES can be used for predicting monthly GRASS REFERENCE CROP EVAPOTRANSPIRATION.

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APA: Copy

AHMADI, F., RADMANEH, F., MIRABBASI NAJAF ABADI, R.L., & AYASHM, S.. (2015). PREDICTION OF MONTHLY GRASS REFERENCE CROP EVAPOTRANSPIRATION IN NORTHWEST OF IRAN USING GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, 9(1), 54-65. SID. https://sid.ir/paper/131504/en

Vancouver: Copy

AHMADI F., RADMANEH F., MIRABBASI NAJAF ABADI R.L., AYASHM S.. PREDICTION OF MONTHLY GRASS REFERENCE CROP EVAPOTRANSPIRATION IN NORTHWEST OF IRAN USING GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE. IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE[Internet]. 2015;9(1):54-65. Available from: https://sid.ir/paper/131504/en

IEEE: Copy

F. AHMADI, F. RADMANEH, R.L. MIRABBASI NAJAF ABADI, and S. AYASHM, “PREDICTION OF MONTHLY GRASS REFERENCE CROP EVAPOTRANSPIRATION IN NORTHWEST OF IRAN USING GENETIC PROGRAMMING AND SUPPORT VECTOR MACHINE,” IRANIAN JOURNAL OF IRRIGATION AND DRAINAGE, vol. 9, no. 1, pp. 54–65, 2015, [Online]. Available: https://sid.ir/paper/131504/en

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