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One Day Ahead Forecast of Pan Evaporation at Pali Using Genetic Programming

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Proceedings of Fifth International Conference on Soft Computing for Problem Solving

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 436))

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Abstract

Forecasting of pan evaporation is important for management of water resources. Evaporation process is highly nonlinear and complex. Hydrologists therefore try another technique in place of traditional deterministic and conceptual models to forecast pan evaporation with relative simplicity and accuracy. The present work uses genetic programming (GP) and model tree (MT) to forecast pan evaporation one day ahead at Pali in the Raigad district of Maharashtra, India. Daily minimum and maximum humidity, minimum and maximum temperature, wind speed, pan water temperature, and sunshine were the seven input parameters. Both models performed well for 2 years data with accuracy of prediction. Excellence of GP model is proved with correlation coefficient between GP forecasted and observed pan evaporation (r = 0.97), least error (MSRE = 0.012 mm/day), and high index of agreement (d = 0.98). These models can be useful for hydrologists and farm water managers.

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Authors and Affiliations

  1. Department of Civil Engineering, K.K. Wagh Institute of Engineering Education and Research, Nasik, Maharashtra, India

    Narhari Dattatraya Chaudhari

  2. Department of Civil Engineering, Matoshri College of Engineering and Research, Nasik, Maharashtra, India

    Neha Narhari Chaudhari

Authors
  1. Narhari Dattatraya Chaudhari
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  2. Neha Narhari Chaudhari
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Correspondence to Narhari Dattatraya Chaudhari .

Editor information

Editors and Affiliations

  1. Dept of Applied Sci & Eng, Indian Instit of Tech Roorkee, Roorkee, India

    Millie Pant

  2. Department of Mathematics, Indian Inst of Tech Roorkee, Roorkee, India

    Kusum Deep

  3. Chankyapuri, Rm 327, South Asian Univ, Akbar Bhawan, New Delhi, India

    Jagdish Chand Bansal

  4. Department of Mathematics and Comp Sci, Liverpool Hope University, LIVERPOOL, United Kingdom

    Atulya Nagar

  5. Department of Mathematics, National Inst of Tech Silchar, Silchar, Assam, India

    Kedar Nath Das

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© 2016 Springer Science+Business Media Singapore

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Chaudhari, N.D., Chaudhari, N.N. (2016). One Day Ahead Forecast of Pan Evaporation at Pali Using Genetic Programming. In: Pant, M., Deep, K., Bansal, J., Nagar, A., Das, K. (eds) Proceedings of Fifth International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing, vol 436. Springer, Singapore. https://doi.org/10.1007/978-981-10-0448-3_10

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  • DOI: https://doi.org/10.1007/978-981-10-0448-3_10

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0447-6

  • Online ISBN: 978-981-10-0448-3

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