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

| Peer-Reviewed |

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

Manoj Gundalia, Mrugen Dholakia

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

Views: Downloads:

Download PDF

Share This Article

Twitter
Linked In
Facebook

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.

DOI	10.11648/j.ajwse.20150102.12
Published in	American Journal of Water Science and Engineering (Volume 1, Issue 2, November 2015)
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), 2024. Published by Science Publishing Group

Keywords

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

References

[1]	Abdelhadi, A. W., Hata, T., Tanakamaru, T. A., & Tariq, M. A. (2000). Estimation of crop water requirements in arid region using Penman-Monteith equation with derived crop coefficients. A case study in Acala cotton in Sudan Gezira irrigated scheme. Agric. Water Manage: 45 (2), 203-214.
[2]	Abdulai, B. I., Stigter, C. J., Ibrahim, A. A., Adeeb, A. M., & Adam, H. S. (1990). Evaporation calculations for Lake Sennar. Neth. J. Agric. Sci: 38, 725-730.
[3]	Allen, R. G. (2000). REF-ET for Windows: reference evapotranspiration calculator version 2.0, University of Idaho Research and Extension Center, Kimberly. ID. Current online version: http://www. kimberly. uidaho. edu/refet/.
[4]	Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop Evapotranpiration: Guildlines for computing crop water requirements FAO, Irrigation and Drainage Paper No 56. Food and Agriculture Organisation, Land and Water. Rome, Italy: pp 300.
[5]	Allen, R. G., Smith, M. Pereira, L. S., & Perrier, A. (1994b). An update for the calculation of reference evapotranspiration. ICID Bulletin: 43 (2), 35-92.
[6]	Allen, R. G., Smith, M., Perrier, A., & Pereira, L. S. (1994a). An update for the definition of reference evapotranspiration. ICID Bulletin: 43 (2), 1-34.
[7]	Berengena, J., & Gavilan, P. (2005). Reference evapotranspiration estimation in a highly advective semiarid environment. J. Irrig. Drain. Eng: 121 (6), 427-435.
[8]	Beyazgul, M., Kayam, Y., & Engelsman, F. (2000). Estimation methods for crop water requirements in the Gediz Basin of Western Turkey. J. Hydrol: 229 (1-2), 19-26.
[9]	DelghaniSanij, H., Yamamoto, T., & Rasiah, V. (2004). Assessment of evapotranspiration models for use in semi-arid environments, Agric. Water Manage: 64 (2), 91-106.
[10]	Gavilan, P., Lorite, I. J., Tornero, S., & Berengena, J. (2006). Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment, Agric. Water Manage: 81 (3), 257-281.
[11]	Hargreaves, G. H. (1983). Discussion of 'Application of Penman wind function' by Cuenca, R. H. and Nicholson, M. J., J. Irrig. and Drain. Engrg: ASCE 109 (2), 277-278.
[12]	Hargreaves, G. H., & Allen, R. G. (2003). History and evaluation of Hargreaves evapotranspiration equation. J. Irrig. Drain. Eng: 129 (1), 53-63.
[13]	Hargreaves, G. H., & Samani, Z. A. (1985). Reference crop evapotranspiration from temperature. Appl Engine Agric: 1(2), 96–99.
[14]	Hussein, A. S. A. (1999). Grass ET estimates using Penman-type equations in Central Sudan. J. Irrig. Drain. Eng: 125 (6), 324-329.
[15]	Itenfisu, D., Elliott, R. Allen, R. G., & Walter, I. A. (2000). Comparison of reference evapotranspiration calculation across range of climates. In: Evans, R. G., Benham, B. L., & Trooien, T. P. (Eds). (2000). Proceedings of the 4th Decennial Irrigation Symposium (ASAE), 14-16 November 2000, at Phoenix, AZ., U. S. A., 216-227.
[16]	Jensen, M. E., & Haise, H. R. (1963). Estimating evapotranspiration from solar radiation. J. Irrig. Drainage: Div. ASCE, 89, 15-41.
[17]	Keskin, M. E., & Terzi, O. (2006). Evaporation estimation models for Lake Egirdir, turkey. Hydrol. Process: 20, 2381-2391.
[18]	Legates, D. R., & McCabe, G. J. (1999). Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resources Res: 35 (1), 233-241.
[19]	Linacre, E. T. (1993). Data-sparse estimation of lake evaporation, using a simplified penman equation. Agricultural and Forest Meteorology: 64, 237-256.
[20]	Lopez-Urrea, R., Martín de Santa Olalla, F., Fabeiro, C., & Moratalla, A. (2006). Testing evapotranspiration equations using lysimeter observations in a semiarid climate. Agricultural Water Management: 85, 15–26.
[21]	Makkink, G. F. (1957). Testing the Penman formula by means of lysimeters. Journal of the Institution of Water Engineers: 11, 277-28.
[22]	Priestley, C. H. B., & Taylor, R. J. (1972). On the assessment of the surface heat flux and evaporation using large-scale parameters. Monthly Weather Review: Division of Atmospheric Physics, Commonwealth Scientific and Industrial Research Organization, Aspendale, Victoria, Australia, 100, 81–92.
[23]	Todorovic, M. (1999). Single-layer evapotranspiration model with variable canopy resistance. J. Irrig. Drain. Eng: 125 (5), 235-245.
[24]	Trajkovic, S. (2005). Temperature-based approaches for estimating reference evapotranspiration. J. Irrig. Drain. Eng: 133 (4), 316-323.
[25]	Trajkovic, S., & Kolakovic, S. (2009). Evaluation of reference evapotranspiration equations under humid conditions. Water Resour. Manage: 23, 3057-3067.
[26]	Turc, L. (1961). Estimation of irrigation water requirements, potential evapotranspiration: a simple climatic formula evolved up to date. Ann. Agron: 12, 13-49.
[27]	Tyagi, N. K., Sharma, D. K., & Luthra, S. K. (2003). Determination of evapotranspiration for maize and berseem clover. Irrig. Sci: 21 (4), 173-181.
[28]	Ventura, F., Spano, D., Duce, P., & Snyder, R. L. (1999). An evaluation of common evapotranspiration equation. Irrig. Sci.: 18 (4), 163-70.
[29]	Willmott, C. J., Robeson S. M., & Matsuura, K. (2012). A refined index of model performance. Int. J. Climatol: 32, 2088–2094.

Cite This Article

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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

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

Download PDF

Sections

Plain Text BibTeX RIS

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

Copy | Download

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

Copy | Download

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

Copy | Download

@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