TITLE:
Forecasting Groundwater Level in an Arid Area According to Climatic Data
AUTHORS:
Khurshidbek Makhmudov, Yasuhiro Mitani, Tetsuya Kusuda
KEYWORDS:
Groundwater, Precipitation, Interpolation, Calibration, GIS
JOURNAL NAME:
Journal of Water Resource and Protection,
Vol.7 No.7,
May
5,
2015
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.