Developing Artificial Neural Network for Predicting Groundwater Level in Sensitive Area

Abstract

The developing of groundwater takes advantages for consumption, agriculture, industry and business. The drilling groundwater wells as the secondary water sources and observation wells for check the groundwater quality and quantity required huge investments. In the limited water resource and sensitive area, the development of groundwater wells required the consideration and analysis carefully. Therefore, an artificial neural network system was developed to assist a decision making in groundwater level for drilling wells. and level. The data were the topography, hydrogeology, environment, groundwater pumping regulation and groundwater drilling and exploring standard. The data was trained, calibrated, validated, and tested until the correlations were reasonable for predict the groundwater level and position. The research can be used for deciding the groundwater development and benefit for the sensitive area, water shortage, outside the irrigation area.