GROUNDWATER LEVEL STUDY USING ANN FOR GANDHINAGAR DISTRICT
Author(s):
SHAH SHUBHAM NILESHBHAI, Prof. Megha B. Bhatt, Prof. Kinnari R. Mishra
Keywords:
Rainfall, Maximum and minimum temperature, Humidity, Evaporation, MATLAB and M.S. EXCEL.
Abstract
Groundwater is the major source of fresh water on earth. The study of groundwater level gives information about the groundwater availability, groundwater flow, and the physical characteristics of an aquifer. Groundwater systems are very complex in nature. If the main aim of the study is to get accurate predictions rather than understanding the actual physics of the system, Artificial Neural Network (ANN) proves to be a good alternative method. In this research, Artificial Neural Network is used to predict groundwater level in Gandhinagar district. Model considers precipitation, maximum and minimum temperature, humidity, and Evaporation data as input parameter and groundwater levels as an output parameter.
Article Details
Unique Paper ID: 147611

Publication Volume & Issue: Volume 5, Issue 9

Page(s): 208 - 210
Article Preview & Download




Go To Issue



Call For Paper

Volume 6 Issue 4

Last Date 25 September 2019


About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews

Contact Details

Telephone:8200 61 5067
Email: editor@ijirt.org
Website: ijirt.org

Policies