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Multiple Linear Correlation Analysis of Daily Reference Evapotranspiration

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Abstract

An accurate estimation of reference evapotranspiration (ET0) is of paramount importance for many studies such as hydrologic water balance, irrigation system design and management, crop yield simulation, and water resources planning and management. Simple regression techniques, may sometimes, provide adequate estimation of ET0. Implementation of regression methods considering all the predictor variables may, however, lead to overfit and consequent reduction in the predictive capability. The regression models for ET0 have been developed in the present study for Tirupati, Nellore, Rajahmundry, Anakapalli and Rajendranagar regions of Andhra Pradesh, India by following step-wise procedure, eliminating superfluous predictor variables based on statistical criteria. The sunshine hours, wind velocity, temperature and relative humidity influenced ET0 in the study area. The linear regression models developed in terms of predictor variables may conveniently be applied in the regions selected for the present study and, in the regions with similar climatic conditions for satisfactory ET0 estimation.

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Authors and Affiliations

  1. Department of Civil Engineering, S.V. University College of Engineering, Tirupati, 517502, Andhra Pradesh, India

    Mallikarjuna Perugu & Aruna Jyothy Singam

  2. Siddhartha Institute of Engineering and Technology, Puttur, Andhra Pradesh, India

    Chandra Sekhar Reddy Kamasani

Authors
  1. Mallikarjuna Perugu
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  2. Aruna Jyothy Singam
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  3. Chandra Sekhar Reddy Kamasani
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Correspondence to Aruna Jyothy Singam.

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Perugu, M., Singam, A.J. & Kamasani, C.S.R. Multiple Linear Correlation Analysis of Daily Reference Evapotranspiration. Water Resour Manage 27, 1489–1500 (2013). https://doi.org/10.1007/s11269-012-0250-7

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  • DOI: https://doi.org/10.1007/s11269-012-0250-7

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