 |
2007 Ground Water Summit |
Monday, April 30, 2007
4:30 p.m. - 7:30 p.m.
Tuesday, May 1, 2007
9:30 a.m. - 1:30 p.m.
Tuesday, May 1, 2007
4:30 p.m. - 7:30 p.m.
Asssesment of the Ordinary Kriging and Neuro-Fuzzy Appraoches
in Interpolation of the Groundwater Level
A. Afrous1, S.M. Hosseini 2, Sh.Goudarzi 3
1Ph.D Student of Irrigation and Drainage, Science and Researches University of Tehran, member of young researchers club, Azad University of Dezfoul, Dezfoul,Iran. ali.afrous@gmail.com
2 Graduated MSc. in Water Resources Eng., Dep. of Irrigation and Reclamation, University of Tehran, Karaj, Iran. 3 Graduated MSc. in soil sience., Dep. Of soil sience, Azad University of Dezfoul, Dezfoul,Iran.
Abstract
The kriging method is known the best linear unbiased method in estimate the variable has a spatial structure. This method apply the variogram tool in estimation. In actual practice, not only the assumed theoretical model is frequently incorrect, even the basic assumption of randomness are frequently unattainable. To avoid these problem, applying the modern technique such as expert systems is appeared necessary. To spatialize the measured groundwater level values as initial values in groundwater modelling, the kriging method has been widely used. In this study, the efficiency of the Adaptive Network based Fuzzy Inference System (ANFIS) and ordinary kriging in interpolation of groundwater level in aquifer, is investigated. The results show that ANFIS model is higher efficient to estimate the groundwater level related to the ordinary kriging.
Keywords: Geostatistic; Kriging; groundwater level; ANFIS
Alishir Afrous, University of Dezful I am Ph.D STUDENT.