scholarly journals CHEMICAL COMPOSITION OF GROUNDWATER OF THE COLTOGOR- TOLKINSKAYA ZONE AND ADJACENT TECTONIC ELEMENTS

2016 ◽  
pp. 25-33 ◽  
Author(s):  
A. R. Kurchikov ◽  
A. G. Plavnik ◽  
M. V. Itskovich
Keyword(s):  
Cluster Analysis ◽  
Chemical Composition ◽  
Suture Zone ◽  
Subsurface Water ◽  
Composition Analysis ◽  
Tectonic Structures ◽  
Groundwater Samples ◽  
Chemical Composition Analysis ◽  
And Cluster Analysis ◽  
Hydrogeochemical Parameters

The comparison of hydrogeochemical conditions of Jurassic-Cretaceous sediments of Koltogor- Tolkinskaya suture zone and the adjacent tectonic structures was based on the results of the chemical composition analysis of almost 1,500 groundwater samples. The average values of the overall salinity of subsurface water and their content of basic components of ion-salt and microcomponent composition were compared for Aptian-Albian-Senomanian, Neocomian and Jurassic aquifer complexes of Koltogorsky, Tolkinsky, Yuzhno-Tolkinsky megatroughs and Tagrinsky, Bakhilovsky, Alexandrovsky, Srednevasyugansky megaswells, as well as Nizhnevartovsky, Kaymysovsky arches. Using Sulin’s classification and cluster analysis the type of groundwater was characterized by the hydrogeochemical parameters set. It was defined that the suture zone presence does not directly affect the hydrogeochemical conditions of deep horizons of this zone and adjacent areas.

scholarly journals Correction: Yu, D.Q., et al. Microscopic Characteristic and Chemical Composition Analysis of Three Medicinal Plants and Surface Frosts. Molecules 2019, 24, 4548

Molecules ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 379
Author(s):  
Da Qing Yu ◽  
Xiao Jing Han ◽  
Ting Yu Shan ◽  
Rui Xu ◽  
Jin Hu ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Medicinal Plants ◽  
Composition Analysis ◽  
Microscopic Characteristic ◽  
Chemical Composition Analysis

The authors would like to correct an error in the title paper [...]

Chemical composition analysis of carbohydrate fragmentation products

2021 ◽  
Vol 156 ◽  
pp. 105112
Author(s):  
Samin Fathalinejad ◽  
Esben Taarning ◽  
Peter Christensen ◽  
Jan H. Christensen
Keyword(s):  
Chemical Composition ◽  
Composition Analysis ◽  
Chemical Composition Analysis

Research on Process Mineralogy of Potassium-Rich Shale

2010 ◽  
Vol 158 ◽  
pp. 197-203 ◽  
Author(s):  
Jie Liu ◽  
Yue Xin Han ◽  
Wan Zhong Yin
Keyword(s):  
Chemical Composition ◽  
Mineral Composition ◽  
Potassium Feldspar ◽  
Composition Analysis ◽  
Research Results ◽  
Dsc Analyses ◽  
Process Mineralogy ◽  
Mineral Compositions ◽  
Chemical Composition Analysis

The process mineralogy of potassium-rich shale from Chaoyang of Liaoning, China, was studied. Research results showed there are much less variety and smaller quantities in mineral compositions. Calculated mineral composition by means of chemical composition analysis combined with XRD, MLA, IR and TG-DSC analyses showed that main minerals with were Potassium-feldspar, muscovite, biotite and illite, and gangue minerals were quartz and small amounts of hematite. Potassium-rich minerals such as potassium-feldspar and muscovite contact smoothly with quartz respectively, and there was the direction arrangement among potassium-feldspar, quartz and muscovite in the shale. And quartz and hematite were main cement in the shale. The influences of the research results on the potassium extraction from potassium-rich shale were distinct.

scholarly journals Chemical composition analysis of the essential oil of Solanumn nigrum L. by HS/SPME method and calculation of the biochemical coefficients of the components

2017 ◽  
Vol 10 ◽  
pp. S2372-S2375 ◽  
Author(s):  
Avat (Arman) Taherpour ◽  
Mohammad Mehdi Khodaei ◽  
Baram Ahmed Hama Ameen ◽  
Majid Ghaitouli ◽  
Nosratollah Mahdizadeh ◽  
...  
Keyword(s):  
Chemical Composition ◽  
Essential Oil ◽  
Composition Analysis ◽  
Chemical Composition Analysis

Comparison of machine learning techniques to optimize the analysis of plutonium surrogate material via a portable LIBS device

2021 ◽  
Author(s):  
Ashwin P. Rao ◽  
Phillip R. Jenkins ◽  
John D. Auxier II ◽  
Michael B. Shattan
Keyword(s):  
Machine Learning ◽  
Chemical Composition ◽  
Machine Learning Techniques ◽  
Composition Analysis ◽  
Learning Techniques ◽  
Chemical Composition Analysis

Enhancing the analytical capabilities of a hand-held LIBS device for chemical composition analysis of a plutonium surrogate using different machine learning paradigms.

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