چکیده مقاله
In this study, RBF neural network was utilized to estimate groundwater level in an unsampled piezometric well Six scenarios were performed using the data collected from piezometric wells distributed around the unsampled well to estimate the missing groundwater level The results showed that the estimated groundwater level time series closely follows the entire fluctuation trend in water table with a mean absolute error of 0 13 meter The distance between the sampled zone and unsampled area affected the correlation in the data drastically Besides the distance, station elevation played an important role in correlating groundwater changes in adjacent stations
کلیدواژهها
نویسندگان
G. R. Rakhshandehroo
Dept of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran
H. Damangir
G. R. Rakhshandehroo Dept. of Civil and Environmental Engineering, Shiraz University, Shiraz, Iran.
شیوه ارجاع
Rakhshandehroo, G. R. and Damangir, H.,1388,Groundwater level estimation using radial basis function artificial neural network,8th International Congress on Civil Engineering,Shiraz
ارائهشده در
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