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Self-Generating Training Model (SGTM) Algorithm to Estimate Groundwater Level in Consensus with Climate Change Impact Study in Cauvery Delta Zone, Tamil Nadu, India

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Climate Change Impacts in India

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Abstract

Cauvery Delta Zone is present in the eastern part of Tamil Nadu, popularly known as ‘rice bowl’ of Tamil Nadu. It constitutes of about 11.1% of total area of the state. It lies between 10.00 and 11.30° N latitude and 78.15°–79.45° E longitude. Cauvery Delta Zone includes the districts of Thanjavur, Thiruvarur, Nagapattinam, Mayiladuthurai, Perambalur and some parts of Pudhukottai and Cuddalore Districts. This zone plays a vital role not only in rice production but also in other varieties of crops and raw materials for industries. It receives more than 50% of rainfall in North East monsoon. Variation in rainfall in this zone causes serious environmental effects. Sources of groundwater recharge zones are mostly influenced by rainfall variability. In this research work, the connection between the climate change impact and rainfall variability has been studied and the successive study has been made. The temporal trends of rainfall variability are studied extensively to predict the future scenario using the Self-Generating Training Model (SGTM) algorithm. This work is potentially helpful for farmers to identify the threatening zones and can understand the fluctuations in groundwater level due to implications of climate change.

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Acknowledgements

I sincerely thank Loyola college management for giving permission to communicate and publish this research work. I thank Head of the Department of Physics for supporting all the students and researchers to complete the work successfully.

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Authors and Affiliations

  1. Department of Physics, Loyola College, Nungambakkam, Chennai, India

    A. Stanley Raj & J. P. Angelena

  2. Atmospheric Science Research Laboratory, SRM Institute of Science and Technology, Kattankulathur, India

    R. Damodharan

  3. School of Science and Humanities, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Avadi, Chennai, Tamil Nadu, 600 062, India

    D. Senthil Kumar

Authors
  1. A. Stanley Raj
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  2. J. P. Angelena
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  3. R. Damodharan
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  4. D. Senthil Kumar
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Corresponding author

Correspondence to A. Stanley Raj .

Editor information

Editors and Affiliations

  1. Institute of Energy Infrastructure, Universiti Tenaga Nasional, Kajang, Malaysia

    Chaitanya B. Pande

  2. Department of Remote Sensing, Banasthali Vidyapith, Jaipur, India

    Kanak N. Moharir

  3. Water and Water Structures Engineering, Zagazig University, Zagazig, Egypt

    Abdelazim Negm

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Raj, A.S., Angelena, J.P., Damodharan, R., Kumar, D.S. (2023). Self-Generating Training Model (SGTM) Algorithm to Estimate Groundwater Level in Consensus with Climate Change Impact Study in Cauvery Delta Zone, Tamil Nadu, India. In: Pande, C.B., Moharir, K.N., Negm, A. (eds) Climate Change Impacts in India. Earth and Environmental Sciences Library. Springer, Cham. https://doi.org/10.1007/978-3-031-42056-6_5

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