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Impact of different Meteorological Parameters and Relationship with Short Crop Reference Evapotranspiration for Humid Climatic Conditions

Author Affiliations

  • 1Department of SWE, CTAE, MPUAT, Udaipur, Rajasthan, India
  • 2Department of SWE, CTAE, MPUAT, Udaipur, Rajasthan, India
  • 3Department of SWE, CTAE, MPUAT, Udaipur, Rajasthan, India
  • 4Department of SWE, CTAE, MPUAT, Udaipur, Rajasthan, India
  • 5Department of Agricultural Statistics and Computer Application RCA, Udaipur, Rajasthan, India
  • 6Department of SWE, CTAE, MPUAT, Udaipur, Rajasthan, India

Int. Res. J. Earth Sci., Volume 4, Issue (8), Pages 1-4, August,25 (2016)

Abstract

Reference evapotranspiration (ETo) is influence by solar radiation, ambient temperature, relative humidity, and wind speed. The estimation ETo varies from one climate to another and within the climate, and depends on the location and time. The diverse stations were selected to test the influence of different meteorological variables on evapotranspiration under humid climate conditions of Konkan region. The recent twenty four years data (1991-2014) was considered for analysis. The correlation and linear regression analysis was used to find influence of meteorological parameters on evapotranspiration. The results showed that sunshine hours, air temperature and wind speed had strong and positive correlation with reference evapotranspiration and negatively with relative humidity. The evapotranspiration was not significantly influenced by Tmin and RHmin. The maximum relative humidity contributes more in ETo estimation and more emphasis is to be given during estimation for humid region like Konkan region. The maximum temperature influence 24% and 21% ETo at Awalegaon and Mulde station. The sunshine hours affect ETo in the range of 17 to 23% for different stations. The minimum temperature and minimum relative humidity influenced less in prediction of ETo. For Awalegaon and Mulde station more importance should be given to maximum temperature while for Vengurle station wind speed found more important for estimation ETo.

References

  1. Baumgartner A. and Reichel E. (1975)., World water balance: Mean annual global continental and maritime precipitation, evaporation and runoff., Elsevier, Amsterdam.
  2. Vazquex R.F. and Feyen J. (2004)., Potential evapotranspiration for the distributed modeling of Belgian catchments., J. of Irrigation and Drainage Engineering 130(1), 1-8.
  3. Allen R.G., Pereira L.S., Raes D. and Smith M. (1998)., Crop Evapotranspiration-Guidelines for computing crop water requirements-FAO Irrigation and Drainage Engineering paper 56, Food and Agriculture Organization, Rome., undefined
  4. Mohan S. and Arumugam N. (1996)., Relative importance of meteorological variables in evapotranspiration: Factor analysis approach., Water Resources Management, 10(1), 1-20.
  5. Thomas Axel (2000)., Spatial and temporal characteristics of potential evapotranspiration trends over China., International Journal of Climatology, 20(4), 381-396.
  6. Bably A.Z. (2003)., Estimation of evapotranspiration using statistical model., Camarda, D. (ed.), Grassin I.L. (ed.) Local resources and global trades: Environments and agriculture in the Mediterranean region. Bari: CIHEAM: 441-449.
  7. Fitzmaurice L. and Beswick A. (2005)., Sensitivity of the FAO56 crop reference evapotranspiration to different input data., Queensland Department of Natural Resources and Mines, Brisbane.
  8. Song Z. W., Zhang H. L., Snyder R. L., Anderson F. E. and Chen F. (2010)., Distribution and Trends in Reference Evapotranspiration in the North China Plain., J. Irrig. and Drain. Engrg., 136(4), 240-247.
  9. Sergio M, Vicente-Serrano, Cesar Azorin-Molina, Arturo Sanchez-Lorenzo, Jes´us Revuelto, Enrique Mor´an-Tejeda, Juan I L´opez-Moreno and Francisco Espejo (2014)., Sensitivity of reference evapotranspiration to changes in meteorological parameters in Spain (1961–2011)., Water Resour. Res., 50, 8458-8480, doi: 10.1002/2014WR015427.
  10. Petkovic´ Dalibor, Milan Gocic, Slavisa Trajkovic, Shahaboddin Shamshirb and Shervin Motamedi, Roslan Hashim and Hossein Bonakdari (2015)., Determination of the most influential weather parameters on reference evapotranspiration by adaptive neuro-fuzzy methodology., Computers and Electronics in Agriculture., 114, 277-284.