Ground Water Prediction Using Bacterial Foraging Optimization Technique

Abstract Ground water in the water located beneath the earth’s surface in soil pore spaces and in the patterns of rock formations. The ways to determine the level of ground water is called ground water prediction. The ground water level is the important factors which affect the development of national economy and society. It is needed to predict ground water because in recent times too much water is pumped out from under ground [1]. In the State of Odisha (India), more than 85 % of geographical area falls under consolidation formations with low groundwater development status. In places like Puri, Bhubaneswar ground water can be found at around 200ft down but in case of rocky areas like Keonjhar, western Odisha such as Koraput, Titlagarh etc., it is very hard to reach the ground water level which is very deep down the earth surface. Another problem is the authorities from water resource development use to dig unnecessary pot holes in search of ground water without having any information about the availability of water. These pot holes create problems for the local people. It leads to wastage of both time and money of government. So this paper proposes a method through this we can overcome the above problem. In this paper the availability of ground water was predicted by using some prediction techniques like linear regression, multi-linear regression. Regression analysis can be used to model the relationship between one or more independent or predictor variables and a dependent or response variable (which is continuous-valued). In other words, a regression model is a mathematical model that predicts a continuous response variable. And also we are introducin