Fracture Quantification Method with 3D X-Ray Image - Entropy-Assisted Indicator Kriging Method

2018 ◽  
Author(s):  
H. Wang ◽  
M. Rabiei ◽  
S. Wang ◽  
G. Cui
Keyword(s):  
Indicator Kriging ◽  
Kriging Method ◽  
X Ray ◽  
Quantification Method ◽  
Image Entropy

scholarly journals Improvement of Spatial Modeling of Cr, Pb, Cd, As and Ni in Soil Based on Portable X-ray Fluorescence (PXRF) and Geostatistics: A Case Study in East China

2019 ◽  
Vol 16 (15) ◽  
pp. 2694 ◽  
Author(s):  
Xia ◽  
Hu ◽  
Shao ◽  
Xu ◽  
Zhou ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Hot Spots ◽  
Ordinary Kriging ◽  
Eastern China ◽  
Indicator Kriging ◽  
Polluted Water ◽  
X Ray ◽  
Soil Heavy Metals ◽  
Metals Pollution ◽  
Heavy Metals Pollution

To verify the feasibility of portable X-ray fluorescence (PXRF) for rapidly analyzing, assessing and improving soil heavy metals mapping, 351 samples were collected from Fuyang District, Hangzhou City, in eastern China. Ordinary kriging (OK) and co-ordinary kriging (COK) combined with PXRF measurements were used to explore spatial patterns of heavy metals content in the soil. The Getis-Ord index was calculated to discern hot spots of heavy metals. Finally, multi-variable indicator kriging was conducted to obtain a map of multi-heavy metals pollution. The results indicated Cd is the primary pollution element in Fuyang, followed by As and Pb. Application of PXRF measurements as covariates in COK improved model accuracy, especially for Pb and Cd. Heavy metals pollution hot spots were mainly detected in northern Fuyang and plains along the Fuchun River in southern Fuyang because of mining, industrial and traffic activities, and irrigation with polluted water. Area with high risk of multi-heavy metals pollution mainly distributed in plain along the Fuchun River and the eastern Fuyang. These findings certified the feasibility of using PXRF as an efficient and reliable method for soil heavy metals pollution assessment and mapping, which could contribute to reduce the cost of surveys and pollution remediation.

scholarly journals Review of the Kriging Technique Applications to Groundwater Quality

2021 ◽  
Vol 27 (12) ◽  
pp. 23-32
Author(s):  
Hayat Azawi ◽  
May Samir Saleh
Keyword(s):  
Groundwater Quality ◽  
Quality Indicator ◽  
Ordinary Kriging ◽  
Indicator Kriging ◽  
Disjunctive Kriging ◽  
Kriging Method ◽  
Lognormal Kriging ◽  
Groundwater Contaminants ◽  
Simple Kriging

Kriging, a geostatistical technique, has been used for many years to evaluate groundwater quality. The best estimation data for unsampled points were determined by using this method depending on measured variables for an area. The groundwater contaminants assessment worldwide was found through many kriging methods. The present paper shows a review of the most known methods of kriging that were used in estimating and mapping the groundwater quality. Indicator kriging, simple kriging, cokriging, ordinary kriging, disjunctive kriging and lognormal kriging are the most used techniques. In addition, the concept of the disjunctive kriging method was explained in this work to be easily understood.

scholarly journals X-ray powder diffraction quantitative analysis of an amorphous SiO2–poly(methyl methacrylate) nanocomposite

2008 ◽  
Vol 41 (6) ◽  
pp. 985-990 ◽  
Author(s):  
P. Riello ◽  
M. Munarin ◽  
S. Silvestrini ◽  
E. Moretti ◽  
L. Storaro
Keyword(s):  
Quantitative Analysis ◽  
Methyl Methacrylate ◽  
Powder Diffraction ◽  
Amorphous Material ◽  
Hybrid Nanocomposite ◽  
Amorphous Sio2 ◽  
X Ray ◽  
Poly Methyl Methacrylate ◽  
Quantification Method ◽  
The Individual

Quantification of individual phases within a multiphase amorphous material has been achieved using a newly developed technique based on X-ray powder diffraction. The quantification method was developed during a study of an amorphous silica–poly(methyl methacrylate) (SiO2–PMMA) hybrid nanocomposite. The efficiency of the method as a quantifying tool for individual phases was demonstrated for samples of SiO2–PMMA prepared either by polymerization of methyl methacrylate in the presence of amorphous SiO2or by mechanically mixing known quantities of the individual and pre-prepared SiO2and PMMA materials. The weight percentages of amorphous SiO2in the nanocomposites as determined by application of the new technique were analogously found to be 29%, a result that was supported by thermogravimetric analysis and helium picnometry measurements.

Improving the Prediction Accuracy of Groundwater Salinity Mapping Using Indicator Kriging Method

2016 ◽  
Vol 142 (7) ◽  
pp. 04016023 ◽  
Author(s):  
Abdelhamid Bradaï ◽  
Abdelkader Douaoui ◽  
Naïma Bettahar ◽  
Ibrahim Yahiaoui
Keyword(s):  
Prediction Accuracy ◽  
Indicator Kriging ◽  
Groundwater Salinity ◽  
Kriging Method

Rapid assessment of smelter/mining soil contamination via portable X-ray fluorescence spectrometry and indicator kriging

Geoderma ◽  
2017 ◽  
Vol 306 ◽  
pp. 108-119 ◽  
Author(s):  
S. Chakraborty ◽  
T. Man ◽  
L. Paulette ◽  
S. Deb ◽  
B. Li ◽  
...  
Keyword(s):  
Soil Contamination ◽  
Rapid Assessment ◽  
Indicator Kriging ◽  
Fluorescence Spectrometry ◽  
X Ray ◽  
Mining Soil

A mesoscale quantification method of cavitation in semicrystalline polymers using X-ray microtomography

2011 ◽  
Vol 528 (21) ◽  
pp. 6535-6544 ◽  
Author(s):  
E. Rosenberg ◽  
N. Brusselle-Dupend ◽  
T. Epsztein
Keyword(s):  
Semicrystalline Polymers ◽  
X Ray ◽  
Quantification Method

scholarly journals Mapping The Distribution of Iron Content in Nickel Laterite Deposits Using Indicator Kriging and Ordinary Kriging Interpolation Method

PROMINE ◽  
2021 ◽  
Vol 9 (1) ◽  
pp. 29-36
Author(s):  
Hendro Purnomo
Keyword(s):  
Root Mean Square ◽  
Iron Content ◽  
Ordinary Kriging ◽  
Interpolation Method ◽  
Indicator Kriging ◽  
Kriging Interpolation ◽  
Mean Square ◽  
Kriging Method ◽  
Nickel Laterite ◽  
Kriging Interpolation Method

Beside containing nickel (Ni), nickel laterite deposits also contain other elements, including iron (Fe) which have varying levels in each layer. In this study, the distribution of Fe content in the limonite layers was carried out using the indicator kriging method to analyze the probability distribution of iron levels and ordinary kriging to analyze the variability of iron levels spatially. Fitting the variogram was undertaken by using spherical, exponential and gaussian models. The selection of the best variogram model was carried out based on the smallest root mean square error (RMSE) value, while the estimation of resource potential was calculated by the polygon extended area method. The results of the interpolation show that the distribution of iron anomaly occupies ± 83,3% of the research area with a potential resource of ±64.522.110 ton of iron. The evaluation of the interpolation results base on the root mean square standardized prediction error (RMSP) indicates that the estimation results of iron content using the ordinary kriging method are underestimated.

scholarly journals Enhanced Quantification for 3D Energy Dispersive Spectrometry: Going Beyond the Limitation of Large Volume of X-Ray Emission

2014 ◽  
Vol 20 (5) ◽  
pp. 1544-1555 ◽  
Author(s):  
Pierre Burdet ◽  
Cécile Hébert ◽  
Marco Cantoni
Keyword(s):  
Large Volume ◽  
Energy Dispersive Spectrometry ◽  
Three Dimensional ◽  
Measured Data ◽  
Energy Dispersive ◽  
X Rays ◽  
Voxel Size ◽  
X Ray ◽  
Quantification Method ◽  
Systematic Improvement

AbstractThis paper presents a method developed to quantify three-dimensional energy dispersive spectrometry (3D EDS) data with voxel size smaller than the volume from which X-rays are emitted. The influence of the neighboring voxels is corrected by applying recursively a complex quantification, improving thereby the accuracy of the quantification of critically small features. The enhanced quantification method is applied to simulated and measured data. A systematic improvement is obtained compared with classical quantification, proving the concept and the prospect of this method.

A quantification method of retrogradation for cooked rice based on a single isolated peak in X-ray diffraction

2018 ◽  
Vol 79 ◽  
pp. 80-85 ◽  
Author(s):  
Atsuko Nagataki ◽  
Haruo Tomita ◽  
Yuki Himeda ◽  
Toshikazu Takemori ◽  
Mika Fukuoka
Keyword(s):  
X Ray Diffraction ◽  
X Ray ◽  
Quantification Method ◽  
Cooked Rice
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