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 JWARP  Vol.7 No.7 , May 2015
Forecasting Groundwater Level in an Arid Area According to Climatic Data
Khurshidbek Makhmudov*, Yasuhiro Mitani, Tetsuya Kusuda
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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
Cite this paper: Makhmudov, K. , Mitani, Y. and Kusuda, T. (2015) Forecasting Groundwater Level in an Arid Area According to Climatic Data. Journal of Water Resource and Protection, 7, 553-560. doi: 10.4236/jwarp.2015.77044.
References

[1]   Makhmudov, Kh., Mitani, Y. and Kusuda, T. (2015) Interpolation of Climatic Parameters by Using Barycentric Coordinates. World Journal of Environmental Engineering, 3, 1-6.

[2]   Petrov, V., Egamberdiev, H., Kholmatzhonov, B. and Alaudinov, T. (2006) Meteorology. NUU, Tashkent, 330.

[3]   DHI (2012) MIKESHE User Manual, Volume-2, and Reference Guide.

[4]   Makhmudov, Kh. (2012) Integrated River Basin Management in Chirchik River Basin. Master’s Thesis, The University of Kitakyushu, Kitakyushu.

[5]   DHI (2012) MIKESHE User Manual, Volume-1, and Reference Guide.

[6]   The Institute of Groundwater (2010) Report of the GP “Gidroingeo”. The Institute of Groundwater, Tashkent, 74-77.

[7]   Phillips, N.A. (1957) A Coordinate System Having Some Special Advantages for Numerical Forecasting. Journal of Meteorology, 14, 184-185.
http://dx.doi.org/10.1175/1520-0469(1957)014<0184:ACSHSS>2.0.CO;2

 
 
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