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ANN-based Rainfall-Runoff Model and Its Performance Evaluation of Sabarmati River Basin, Gujarat, India

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Abstract

Water is the most essential natural resource and pillar constitutes in the socio-economic development of a country. Over the passage of time, water resources are experiencing a wide variation. To cope up with this, hydrological modeling is the need of the hour. Rainfall-runoff (R-R) models are essential for planning, development, and management of the water resources. In this paper, hydrological modeling was done using the artificial neural network (ANN) tool for the Sabarmati River Basin. ANN is an efficient tool that has the potential to identify complex non-linear relationships among a set of input and output data. The hydrological parameters considered for the modeling are daily rainfall, average temperature, evaporation, and discharge of four stations, i.e., Ganapipali, Khedbrahma, Kabola, and Ambaliyara of Sabarmati River basin. Among this daily rainfall, average temperature, and evaporation data were considered as input and discharge as the output parameter. The access to the hydrological data was granted by State Water Data Centre, Gandhinagar for monsoon seasons, i.e., June to September, of 5 years (2001–2005). The neural network was created and the simulation results shows a good correlation of 0.82 for Ganapipali, Kabola, and Ambaliyara station each and 0.68 for Khedbrahma station with the observed data. The RMSE value, i.e., root mean square error value corresponding to the above stations, was also observed to be small obtaining a value of 0.11. It was evident from the results that ANN models are facile to generate and do not need a thorough analysis of the watershed’s geological and hydrological parameters which are the essence of any deterministic, conceptual, and other physically based parameters.

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Acknowledgements

The author is grateful to the State Water Data Centre (SWDC), Gandhinagar, India for giving the meteorological data of the basin.

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  1. Jamia Millia Islamia, New Delhi, India

    Rekha Verma

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  1. Rekha Verma
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Verma, R. ANN-based Rainfall-Runoff Model and Its Performance Evaluation of Sabarmati River Basin, Gujarat, India. Water Conserv Sci Eng 7, 525–532 (2022). https://doi.org/10.1007/s41101-022-00160-1

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