The quality properties of andesite (Unit Volume Weight, Uniaxial Compression Strength, Los500, etc.) are required to determine the exploitable blocks and their sequence of extraction. However, the number of samples that can be taken and analyzed is restricted, and thus the quality properties should be estimated at unknown locations. Cokriging has been traditionally used in the estimation of spa...

BACKGROUND The report of the fifth national tuberculosis (TB) epidemiological survey in P. R. China, 2010, roughly showed that pulmonary TB (PTB) prevalence was higher in western China than in central and eastern China. However, accurately estimating the continuous spatial variations of PTB prevalence and clearly understanding factors impacting on spatial variations of PTB prevalence are import...

Groundwater is one of earth’s most vital renewable and widely distributed resources as well as an important source of water supply worldwide. The increased exploitation of groundwater resources can decrease regional water quality as a whole. The estimation of sodium adsorption ratio (SAR) and chloride content, and also, Na, Ca and Mg concentration are much more timeconsuming and expensive than ...

Secondary data are important in geostatistical simulation of continuous variables. Seismic data and geological trends are used for porosity modeling. Porosity is used for permeability and residual water saturation modeling. Multiple mineral or contaminant concentrations must often be modeled for mining and environmental applications. Sequential Gaussian simulation (or some other variant of Gaus...

This paper addresses the issue of incorporating a digital elevation model into the mapping of Ž . annual and monthly erosivity values in the Algarve region Portugal . Besides linear regression of erosivity against elevation, three geostatistical algorithms are introduced: simple kriging with Ž . Ž . varying local means SKlm , kriging with an external drift KED and colocated cokriging. Cross val...

abstract understanding distribution of physical and chemical soil parameters is very important in recognizing, planning, and soil and water resources management in precision agriculture. regard to the problems related to direct measurement, finding solution to estimate these parameters are very essential. the purpose of this study was to evaluate the spatial variation of some soil parameters su...

Vanadium redox flow batteries (VRFBs) offer the capability to store large amounts of energy cheaply and efficiently, however, there is a need for fast accurate models charge–discharge curve VRFB potentially improve battery capacity performance. We develop multifidelity model predicting VRFB. In model, we use Physics-informed CoKriging (CoPhIK) machine learning method that trained on experimenta...