Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables

Manoj Gundalia; Mrugen Dholakia

doi:doi:10.11648/j.ajwse.20150102.12

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Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables

Manoj Gundalia, Mrugen Dholakia

Published in American Journal of Water Science and Engineering (Volume 1, Issue 2)

Received: 2 September 2015 Accepted: 20 October 2015 Published: 20 October 2015

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Abstract

In this paper attempt is made to estimate reference evapotranspiration (ET_o) from standard meteorological observations. The FAO-56 Penman-Monteith method is the most physical, reliable and mostly used as a standard to verify other empirical methods. However, it needs a lot of different input parameters. Hence, in the present study, a model based on most dominant meteorological variables influencing ET_o is proposed to estimate ETo in the Middle South Saurashtra region of Gujarat (India). The performance of five different alternative methods and proposed model is compared keeping the FAO-56 Penman-Monteith method as reference. The models are evaluated by using Nash-Sutcliffe efficiency coefficient (E), (R₂), (d_r), (RSR) and (MAE) statistical criterions. The results show that the developed model and Hargreaves and Samani (1985) method provide the most reliable results in estimation of (ET_o), and it can be recommended for estimating (ET_o) in the study region.

Published in	American Journal of Water Science and Engineering (Volume 1, Issue 2)
DOI	10.11648/j.ajwse.20150102.12
Page(s)	15-22
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2015. Published by Science Publishing Group

Keywords

Reference Evapotranspiration, Meteorological Variables, FAO-Penman-Monteith Method, Middle South Saurashtra Region

References

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Manoj Gundalia, Mrugen Dholakia. (2015). Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. American Journal of Water Science and Engineering, 1(2), 15-22. https://doi.org/10.11648/j.ajwse.20150102.12

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ACS Style

Manoj Gundalia; Mrugen Dholakia. Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. Am. J. Water Sci. Eng. 2015, 1(2), 15-22. doi: 10.11648/j.ajwse.20150102.12

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AMA Style

Manoj Gundalia, Mrugen Dholakia. Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. Am J Water Sci Eng. 2015;1(2):15-22. doi: 10.11648/j.ajwse.20150102.12

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@article{10.11648/j.ajwse.20150102.12,
  author = {Manoj Gundalia and Mrugen Dholakia},
  title = {Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables},
  journal = {American Journal of Water Science and Engineering},
  volume = {1},
  number = {2},
  pages = {15-22},
  doi = {10.11648/j.ajwse.20150102.12},
  url = {https://doi.org/10.11648/j.ajwse.20150102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20150102.12},
  abstract = {In this paper attempt is made to estimate reference evapotranspiration (ETo) from standard meteorological observations. The FAO-56 Penman-Monteith method is the most physical, reliable and mostly used as a standard to verify other empirical methods. However, it needs a lot of different input parameters. Hence, in the present study, a model based on most dominant meteorological variables influencing ETo is proposed to estimate ETo in the Middle South Saurashtra region of Gujarat (India). The performance of five different alternative methods and proposed model is compared keeping the FAO-56 Penman-Monteith method as reference. The models are evaluated by using Nash-Sutcliffe efficiency coefficient (E), (R2), (dr), (RSR) and (MAE) statistical criterions. The results show that the developed model and Hargreaves and Samani (1985) method provide the most reliable results in estimation of (ETo), and it can be recommended for estimating (ETo) in the study region.},
 year = {2015}
}

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TY  - JOUR
T1  - Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables
AU  - Manoj Gundalia
AU  - Mrugen Dholakia
Y1  - 2015/10/20
PY  - 2015
N1  - https://doi.org/10.11648/j.ajwse.20150102.12
DO  - 10.11648/j.ajwse.20150102.12
T2  - American Journal of Water Science and Engineering
JF  - American Journal of Water Science and Engineering
JO  - American Journal of Water Science and Engineering
SP  - 15
EP  - 22
PB  - Science Publishing Group
SN  - 2575-1875
UR  - https://doi.org/10.11648/j.ajwse.20150102.12
AB  - In this paper attempt is made to estimate reference evapotranspiration (ETo) from standard meteorological observations. The FAO-56 Penman-Monteith method is the most physical, reliable and mostly used as a standard to verify other empirical methods. However, it needs a lot of different input parameters. Hence, in the present study, a model based on most dominant meteorological variables influencing ETo is proposed to estimate ETo in the Middle South Saurashtra region of Gujarat (India). The performance of five different alternative methods and proposed model is compared keeping the FAO-56 Penman-Monteith method as reference. The models are evaluated by using Nash-Sutcliffe efficiency coefficient (E), (R2), (dr), (RSR) and (MAE) statistical criterions. The results show that the developed model and Hargreaves and Samani (1985) method provide the most reliable results in estimation of (ETo), and it can be recommended for estimating (ETo) in the study region.
VL  - 1
IS  - 2
ER  -

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Author Information

Manoj Gundalia

Department of Civil Engineering, Dr. Subhash Technical Campus (GTU), Junagadh, India
Mrugen Dholakia

Department of Civil Engineering, L. D. College of Engineering, Ahmedabad, India

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APA Style

Manoj Gundalia, Mrugen Dholakia. (2015). Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. American Journal of Water Science and Engineering, 1(2), 15-22. https://doi.org/10.11648/j.ajwse.20150102.12

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ACS Style

Manoj Gundalia; Mrugen Dholakia. Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. Am. J. Water Sci. Eng. 2015, 1(2), 15-22. doi: 10.11648/j.ajwse.20150102.12

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AMA Style

Manoj Gundalia, Mrugen Dholakia. Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables. Am J Water Sci Eng. 2015;1(2):15-22. doi: 10.11648/j.ajwse.20150102.12

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@article{10.11648/j.ajwse.20150102.12,
  author = {Manoj Gundalia and Mrugen Dholakia},
  title = {Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables},
  journal = {American Journal of Water Science and Engineering},
  volume = {1},
  number = {2},
  pages = {15-22},
  doi = {10.11648/j.ajwse.20150102.12},
  url = {https://doi.org/10.11648/j.ajwse.20150102.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajwse.20150102.12},
  abstract = {In this paper attempt is made to estimate reference evapotranspiration (ETo) from standard meteorological observations. The FAO-56 Penman-Monteith method is the most physical, reliable and mostly used as a standard to verify other empirical methods. However, it needs a lot of different input parameters. Hence, in the present study, a model based on most dominant meteorological variables influencing ETo is proposed to estimate ETo in the Middle South Saurashtra region of Gujarat (India). The performance of five different alternative methods and proposed model is compared keeping the FAO-56 Penman-Monteith method as reference. The models are evaluated by using Nash-Sutcliffe efficiency coefficient (E), (R2), (dr), (RSR) and (MAE) statistical criterions. The results show that the developed model and Hargreaves and Samani (1985) method provide the most reliable results in estimation of (ETo), and it can be recommended for estimating (ETo) in the study region.},
 year = {2015}
}

Copy | Download

TY  - JOUR
T1  - Estimation of Reference Evapotranspiration in Middle South Saurashtra Region of India Using Dominant Meteorological Variables
AU  - Manoj Gundalia
AU  - Mrugen Dholakia
Y1  - 2015/10/20
PY  - 2015
N1  - https://doi.org/10.11648/j.ajwse.20150102.12
DO  - 10.11648/j.ajwse.20150102.12
T2  - American Journal of Water Science and Engineering
JF  - American Journal of Water Science and Engineering
JO  - American Journal of Water Science and Engineering
SP  - 15
EP  - 22
PB  - Science Publishing Group
SN  - 2575-1875
UR  - https://doi.org/10.11648/j.ajwse.20150102.12
AB  - In this paper attempt is made to estimate reference evapotranspiration (ETo) from standard meteorological observations. The FAO-56 Penman-Monteith method is the most physical, reliable and mostly used as a standard to verify other empirical methods. However, it needs a lot of different input parameters. Hence, in the present study, a model based on most dominant meteorological variables influencing ETo is proposed to estimate ETo in the Middle South Saurashtra region of Gujarat (India). The performance of five different alternative methods and proposed model is compared keeping the FAO-56 Penman-Monteith method as reference. The models are evaluated by using Nash-Sutcliffe efficiency coefficient (E), (R2), (dr), (RSR) and (MAE) statistical criterions. The results show that the developed model and Hargreaves and Samani (1985) method provide the most reliable results in estimation of (ETo), and it can be recommended for estimating (ETo) in the study region.
VL  - 1
IS  - 2
ER  -

Copy | Download