1. Home
    2. Journals
    3. Journal of Earth System Science
    4. Volume 124
    5. Issue 5

    • Application of ANN and fuzzy logic algorithms for streamflow modelling of Savitri catchment

      Mahesh Kothari K D Gharde

      Volume 124 Issue 5 July 2015 pp 933-943

    • Fulltext

       

        Click here to view fulltext PDF


      Permanent link:
      https://www.ias.ac.in/article/fulltext/jess/124/05/0933-0943

    • Keywords

       

      Transferred function; Sigmoid; back-propagation; membership function; defuzzification.

    • Abstract

       

      The streamflow prediction is an essentially important aspect of any watershed modelling. The black box models (soft computing techniques) have proven to be an efficient alternative to physical (traditional) methods for simulating streamflow and sediment yield of the catchments. The present study focusses on development of models using ANN and fuzzy logic (FL) algorithm for predicting the streamflow for catchment of Savitri River Basin. The input vector to these models were daily rainfall, mean daily evaporation, mean daily temperature and lag streamflow used. In the present study, 20 years (1992–2011) rainfall and other hydrological data were considered, of which 13 years (1992–2004) was for training and rest 7 years (2005–2011) for validation of the models. The mode performance was evaluated by R, RMSE, EV, CE, and MAD statistical parameters. It was found that, ANN model performance improved with increasing input vectors. The results with fuzzy logic models predict the streamflow with single input as rainfall better in comparison to multiple input vectors. While comparing both ANN and FL algorithms for prediction of streamflow, ANN model performance is quite superior.

    • Author Affiliations

       

      Mahesh Kothari1 K D Gharde2

      1. Department of Soil and Water Engineering, College of Technology and Engineering, Maharana Pratap University of Agriculture & Technology, Udaipur 313 001, India.
      2. SWCE, College of Technology and Engineering, Maharana Pratap University of Agriculture & Technology, Udaipur, India.

    • Dates

       
      Published
      July 2015
      Manuscript received
      20 December 2014
      Manuscript revised
      8 March 2015
      Accepted
      10 March 2015

  • Journal of Earth System Science | News

    • Editorial Note on Continuous Article Publication

      Posted on July 25, 2019

      Click here for Editorial Note on CAP Mode

    • Special Issue - "Call for papers"

      Posted on July 18, 2023
      AI/ML in Earth System Sciences

      Click here for more information

      Extreme weather events with special emphasis on lightning prediction, observation, and monitoring over India

      Click here for more information

© 2022-2023 Indian Academy of Sciences, Bengaluru.

Contact | Site index