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95270

DEVELOPING A MODEL TO IMPROVE THE PREDICTION OF DAILY SOLAR RADIATION FOR THE PREDICTION OF REFERENCE EVAPOTRANSPIRATION

Article

Last updated: 26 Dec 2024

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Tags

Agricultural Irrigation and Drainage Engineering

Abstract

Three modification of the Hargreaves and Samani (HS) model were proposed to account for the effect of the atmospheric vapor on the prediction of the global solar radiation. The predicted values of the solar radiation using the three models and the values of the original HS model were compared to the measured solar radiation using root mean square error (RMSE), mean absolute bios error (MABE), mean bios error (MBE) and the T-test in pairs. The results showed that the first model M1, and the second model M2 performed better than the original HS. The T- test results showed that there are no significant differences between the means values of the two models prediction and the mean value of the measured solar radiation.   The MBE for both M1 and M2 indicates a tendency to slightly over estimate the solar values for M1, and a slight under estimation of the M2 prediction. The model M1 increased the values of the ETo predicted using the FPM than the original HS model and thus solved the problem of ETo under estimation by FPM.  It is recommended to use M1 for application where over predictions is safer such as evapotranspiration prediction and use M2 where under prediction is safer such as solar radiation prediction for thermal solar application and solar collectors.

DOI

10.21608/mjae.2018.95270

Keywords

Global solar radiation, prediction, Hargreaves and Samani, temperature based models, Evapotranspiration

Authors

First Name

A. M.

Last Name

Alzoheiry

MiddleName

-

Affiliation

Dept. of Natural Resources and Agric. Eng., Faculty of Agric., Damanhour Univ., Egypt. , Dept. of Plant Production and Protection, Fac. of Agric. and Vet. Med., Qassim Univ., KSA.

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Volume

35

Article Issue

4

Related Issue

14362

Issue Date

2018-10-01

Receive Date

2020-06-12

Publish Date

2018-10-01

Page Start

1,225

Page End

1,242

Print ISSN

1687-384X

Online ISSN

2636-3062

Link

https://mjae.journals.ekb.eg/article_95270.html

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https://mjae.journals.ekb.eg/service?article_code=95270

Order

4

Type

Original Article

Type Code

1,326

Publication Type

Journal

Publication Title

Misr Journal of Agricultural Engineering

Publication Link

https://mjae.journals.ekb.eg/

MainTitle

DEVELOPING A MODEL TO IMPROVE THE PREDICTION OF DAILY SOLAR RADIATION FOR THE PREDICTION OF REFERENCE EVAPOTRANSPIRATION

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Type

Article

Created At

23 Jan 2023