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Incorporating Site Characterization Data into Contaminant Concentration Interpolations for Long-Term Monitoring Optimization
Long ? term monitoring (LTM) networks are installed for groundwater remediation systems to evaluate the performance of various remediation processes and to track the variation of contaminant...

Application of Indicator Geostatistics to the Gorleben Data Set
This paper describes a trial application of Indicator geostatistical methods to borehole data from the Gorleben site. Indicator variograms have been estimated from the site data and fitted...

Multiquadrics in Engineering Modeling
The theory of multiquadrics (MQ) is advancing rapidly and it is usable today. When appropriate MQ can accurately interpolate for unknown values with less computational cost than Kriging....

Indicator Variography for Spatial Characterization of Aquifer Heterogeneities
The qualitative information or soft data from lithologic descriptions is processed using a state-of-the-art geostatistical approach to delineate, with quantified uncertainty, the extent...

Geostatistics in Groundwater Sampling Design
The geostatistical methods of kriging and co-kriging are compared as tools for the design of an optimal groundwater monitoring network. First, the network is optimized using single-variable...

Regionalization of Precipitation Droughts in the Scioto River Basin
By the use of monthly precipitation, droughts are defined based on different truncation levels, namely, 70%, 80%, 90%, and 95%, where a 70% truncation level means that 70% of the recorded...

Geostatistics: From Mining to Hydrology
Geostatistics originated in the mining industry to help estimate the amount of metal contained in a block or ore, from a systematic sampling of the block. In this paper, the major geostatistical...

Optimal Interpolation of Bathymetry in the Thyrrehnian Sea
The bathymetry of the Tyrrhenian Sea in the area facing the electro-nuclear plant being built at Montalto di Castro, Italy, is reconstructed with the aid of the constrained kriging making...

Introducing Geostatistics?Estimating Spatial Data
The theory of regionalized variables commonly known as geostatistics is now being applied throughout the community of engineering and sciences. Measurements taken at different locations,...

 

 

 

 

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