Comparison of Groundwater Level Estimation Using Neuro-fuzzy and Ordinary Kriging |
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Authors: | M Kholghi S M Hosseini |
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Institution: | (1) Department of Irrigation and Reclamation Engineering, University of Tehran, Karaj, Iran; |
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Abstract: | Water level in aquifer plays the main role in groundwater modeling as one of the input data. In practice, due to aspects of
time and cost, data monitoring of water levels is conducted at a limited number of sites, and interpolation technique such
as kriging is widely used for estimation of this variable in unsampled sites. In this study, the efficiency of the ordinary
kriging (OK) and adaptive network-based fuzzy inference system (ANFIS) was investigated in interpolation of groundwater level in an unconfined aquifer in the north of Iran. The results showed
that ANFIS model is more efficient in estimating the groundwater level than OK. |
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Keywords: | |
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