EVALUATION OF TWO EMPIRICAL METHODS AND ARTIFICIAL NEURAL NETWORK MODELS USED FOR ESTIMATION OF SOLAR RADIATION INTERCEPTED AT THE EARTH’S SURFACE: A CASE STUDY IN SOUTHEAST OF TEHRAN

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RAHIMI KHOUB A.; BEHBAHANI M.; JAMSHIDI M.

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Journal: Journal of Water and Soil Science Year:2010 | Volume:13 | Issue:50 Page(s): 53-62

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Title

EVALUATION OF TWO EMPIRICAL METHODS AND ARTIFICIAL NEURAL NETWORK MODELS USED FOR ESTIMATION OF SOLAR RADIATION INTERCEPTED AT THE EARTH’S SURFACE: A CASE STUDY IN SOUTHEAST OF TEHRAN

Author(s)

RAHIMI KHOUB A. | BEHBAHANI M. | JAMSHIDI M. | Issue Writer Certificate

Keywords

SOLAR RADIATIONQ2

ANGESTROMQ2

HARGREAVES-SAMANIQ2

NEURAL NETWORKQ3

TEHRANQ3

Abstract

Daily SOLAR RADIATION intercepted at the earth’s surface is an input required for water resources, environmental and agricultural studies. However, the measurement of this parameter can only be done in a few places. This has led researchers to develop a number of methods for estimating SOLAR RADIATION based on frequently available meteorological records such as hours of sunshine or air temperature. In this study two empirical ANGESTROM and HARGREAVES-SAMANI models, which are respectively based on air temperature and sunshine duration were calibrated and evaluated for estimating SOLAR RADIATION in southeast of TEHRAN, Iran. Also, two NEURAL NETWORKs models were presented using similar inputs and above-mentioned empirical models. The results showed that the both empirical and NEURAL NETWORK models provided closer agreement with the measured values, but the models based on sunshine hours gave better estimates than the models based on air temperature. The NEURAL NETWORK model based on sunshine hours with a R2 of 0.97 and a RMSE of 1.34 MJ m-2 d-1 provided the best results.

Cites

AN INVESTIGATION OF THE EFFECTS OF CLIMATOLOGICAL FACTORS, UV RADIATION AND OZON ON THE BUNCH OF MOZAFATI DATE DRYNESS BASAD ON NEURAL ARTIFICIAL NETWORKS AND MAIN COMPONENT REGRESSION (CASE STUDY- JIROFT)

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APA: Copy

RAHIMI KHOUB, A., BEHBAHANI, M., & JAMSHIDI, M.. (2010). EVALUATION OF TWO EMPIRICAL METHODS AND ARTIFICIAL NEURAL NETWORK MODELS USED FOR ESTIMATION OF SOLAR RADIATION INTERCEPTED AT THE EARTH’S SURFACE: A CASE STUDY IN SOUTHEAST OF TEHRAN. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), 13(50), 53-62. SID. https://sid.ir/paper/14942/en

Vancouver: Copy

RAHIMI KHOUB A., BEHBAHANI M., JAMSHIDI M.. EVALUATION OF TWO EMPIRICAL METHODS AND ARTIFICIAL NEURAL NETWORK MODELS USED FOR ESTIMATION OF SOLAR RADIATION INTERCEPTED AT THE EARTH’S SURFACE: A CASE STUDY IN SOUTHEAST OF TEHRAN. WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES)[Internet]. 2010;13(50):53-62. Available from: https://sid.ir/paper/14942/en

IEEE: Copy

A. RAHIMI KHOUB, M. BEHBAHANI, and M. JAMSHIDI, “EVALUATION OF TWO EMPIRICAL METHODS AND ARTIFICIAL NEURAL NETWORK MODELS USED FOR ESTIMATION OF SOLAR RADIATION INTERCEPTED AT THE EARTH’S SURFACE: A CASE STUDY IN SOUTHEAST OF TEHRAN,” WATER AND SOIL SCIENCE (JOURNAL OF SCIENCE AND TECHNOLOGY OF AGRICULTURE AND NATURAL RESOURCES), vol. 13, no. 50, pp. 53–62, 2010, [Online]. Available: https://sid.ir/paper/14942/en

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