Chennai Hydrological Drought Prediction
Priyansha T Jat1, Nikhil Nautiyal2, M. Pushpalatha3

1Priyansha T Jat*, Computer Science and Engineering, SRM IST KTR, Tamil Nadu India.
2Nikhil Nautiyal, Computer Science and Engineering, SRM IST KTR, Tamil Nadu India.
3Dr. M. Pushpalatha, Computer Science and Engineering, SRM IST KTR, Tamil Nadu India.
Manuscript received on March 15, 2020. | Revised Manuscript received on March 25, 2020. | Manuscript published on April 10, 2020. | PP: 1681-1685 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4505049620/2020©BEIESP | DOI: 10.35940/ijitee.F4505.049620
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Abstract: Chennai also referred to as Madras is located on the Coromandel Coast off the Bay of Bengal. It’s the largest cultural, economic and academic center of south India. The city faced an acute water shortage in June 2019. Chennai was entirely captivated with spring water resources to fulfill its water needs. There are four reservoirs within the city, namely, Red Hills, Cholavaram, Poondi and Chembarambakkam, with a combined capacity of 11,057 mcft. These are the main sources of water for the town. Apart from the reservoirs, alternate sources of fresh water are Minjur and Nemelli desalination plants; Cauvery water from Veeranam lake; aquifers in Minjur, Panchetty and Neyveli; Here is an initiative to place together a dataset that has the data about the varied water sources available within the city using LSTM (Long Short Term Memory), TensorFlow, NumPy, Keras and ANN (Artificial Neural Network). The idea is to figure out whether we can use this dataset to: 1. Visualize the water need / usage of the town 2. Identify whether the water sources availability is going to be able to meet the wants till the following monsoon? 3. How bad is the current water crisis compared to previous years? 
Keywords: ANN, Keras, LSTM, NumPy, TensorFlow.
Scope of the Article: Regression and prediction