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

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.

DOI: 10.1007/978-3-031-42056-6_5 openalex: W4387917520