Forecasting Groundwater Level in an Arid Area According to Climatic Data

Khurshidbek Makhmudov^*, Yasuhiro Mitani, Tetsuya Kusuda

Department of Civil Engineering, Graduate School of Engineering, Kyushu University, Fukuoka, Japan.

DOI: 10.4236/jwarp.2015.77044                

Abstract

Development of a prediction method on groundwater level in a river basin depending on climatic data is the purpose of this study. The bases of the prediction method are water balance calculation, transient filtering an interpolation method on climatic data developed by the authors. Development of a method for predicting groundwater level depending on precipitation, abstraction and so on was carried out using the simulation model MIKE SHE. In order to demonstrate the results of this study, topographic maps and the geographic information system (GIS) were used. The calibrated predictive values of the groundwater level were compared with actual data measured in observation wells. As a result, the values of the root-mean-squared error in the calculated points are less than 0.66.

Keywords

Groundwater, Precipitation, Interpolation, Calibration, GIS

Conflicts of Interest

The authors declare no conflicts of interest.

References

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