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Relative humidity based model for estimation of reference evapotranspiration for western plateau and hills region of India

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  • Krishna Bhartiya
  • Aniruddha Ghare

Abstract

As an important constituent of hydrological cycle, estimation of Reference Evapotranspiration (ET o ) is essential for planning of projects related to water resources. This article compares the results obtained from the available pan evaporation based equations to estimate ET o from pan evaporation (E p ) and proposes a new simplified methodology for estimation of ET o , which needs only the data of relative humidity (H). The resulting model is based upon the collected meteorological data of a selected study area i.e. Nagpur District in Maharashtra State, which lies in western plateau and hills region of India. In the proposed methodology, E p rates are adjusted to the values expected for 50 % relative humidity. Then, the relationship between ET o and the adjusted E p is established. The validation of the proposed new model has been carried out by comparing its results with the results obtained by the pan evaporation method, for the study area as well as for the data set of another area. This new model is found to be reasonably accurate for estimation of reference evapotranspiration for the study area and as such, is expected to be applicable to the river basins located in the regions having climatic conditions similar to that of the study area. Although, if the conditions are different then another site specific model can be developed by adopting the methodology proposed in this article. Copyright Springer Science+Business Media Dordrecht 2014

Suggested Citation

  • Krishna Bhartiya & Aniruddha Ghare, 2014. "Relative humidity based model for estimation of reference evapotranspiration for western plateau and hills region of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3355-3364, August.
    • Handle: RePEc:spr:waterr:v:28:y:2014:i:10:p:3355-3364
    DOI: 10.1007/s11269-014-0644-9
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    References listed on IDEAS

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    1. Chiew, F. H. S. & Kamaladasa, N. N. & Malano, H. M. & McMahon, T. A., 1995. "Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia," Agricultural Water Management, Elsevier, vol. 28(1), pages 9-21, August.
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    Cited by:

    1. Ali Rahimikhoob, 2016. "Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3063-3075, July.
    2. Mohammad Valipour, 2014. "Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4237-4255, September.
    3. Yufeng Luo & Seydou Traore & Xinwei Lyu & Weiguang Wang & Ying Wang & Yongyu Xie & Xiyun Jiao & Guy Fipps, 2015. "Medium Range Daily Reference Evapotranspiration Forecasting by Using ANN and Public Weather Forecasts," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(10), pages 3863-3876, August.

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