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Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
ransmissivity Kriging Artificial Neural Network ANFIS Neuro-Fuzzy interpolation groundwater
2015/8/11
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
Estimation of Aquifer Transmissivity using Kriging, Artificial Neural Network, and Neuro-Fuzzy models
Neuro-Fuzzy interpolation groundwater
2015/1/6
In interpolation of groundwater properties such as transmissivity, due to the unknown distributed values of the variables and heterogenity, the best and the unbiased aspects are frequently difficult t...
In this paper, application of the spatial statistical technique, kriging, for the spatial analysis of groundwater levels is shown. The data set consists of groundwater levels measured at about 60 poin...
Evaluation of a Precipitation Map Using a Smoothed Elevation-Precipitation Relationship and Optimal Estimates(Kriging)
Precipitation Map Smoothed Elevation-Precipitation Relationship Optimal Estimates
2009/10/28
Using 45 rain gauges, located in the center of French-speaking Switzerland
(approx. 1,600 sq. km), we evaluate an annual mean precipitation map for the
years 1974, 1975 and 1976. This estimate is ba...
An Application of Kriging to Rainfall Network Design
Application Kriging Rainfall Network Design
2009/10/27
Universal kriging techniques based on the generalized covariances corresponding
to IRF-k theory, are applied to analyze the design of raingauging networks
in regions where the spatial mean is not co...
Top-kriging - geostatistics on stream networks
Top-kriging - geostatistics stream networks streamflow-related variables
2009/5/13
We present Top-kriging, or topological kriging, as a method for estimating streamflow-related variables in ungauged catchments. It takes both the area and the nested nature of catchments into account....
Influence of parameter estimation uncertainty in Kriging: Part 2 - Test and case study applications
yearly rainfall maximum likelihood
2009/3/23
The theoretical approach introduced in Part 1 is applied to a numerical example and to the case of yearly average precipitation estimation over the Veneto Region in Italy. The proposed methodology was...
Influence of parameter estimation uncertainty in Kriging: Part 1 - Theoretical Development
Kriging maximum likelihood parameter estimation
2009/3/23
This paper deals with a theoretical approach to assessing the effects of parameter estimation uncertainty both on Kriging estimates and on their estimated error variance. Although a comprehensive trea...