Microbial processes in geological carbon sequestration: Mechanisms, methods, and engineering implications. [PDF]
Huang L +6 more
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Mineral and geochemical variability of the phosphorite deposits in the Duwi Formation, Western Desert, Egypt: Insights into paleoenvironment and physicochemical conditions. [PDF]
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Geochemical and machine learning approaches to groundwater fluoride prediction in Karaga District, Northern Ghana. [PDF]
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Marc Chaussidon—Leonard Medal 2026
Meteoritics &Planetary Science, EarlyView.
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Hydrocarbon Generation Potential, Paleoenvironmental Conditions, and Organic Matter Enrichment of the Fengcheng Formation Black Shales in the Hala'alat Mountain, NW Junggar Basin: Chemostratigraphic Insights from Well HQ‑6. [PDF]
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Editorial: Innovative integration of stress physiology and biotechnological tools for mitigating metal stress in plants. [PDF]
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Generating geochemical and mineralogy distributions of soil in the conterminous United States using Bayesian hierarchical spatial models. [PDF]
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Geochemical analyses by plasma spectroscopy
Geologiska Föreningen i Stockholm Förhandlingar, 1977Abstract Microwave plasma (MWP) and inductively coupled plasma (ICP) have been used as excitation sources in spectroscopic analyses. The results show that MWP and ICP sources are excellent for spectroscopic determinations of a large number of major, minor and trace constituents in various geological materials.
Jan-Ola Burman +2 more
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Geochemical analyses of geological layers and groundwater flows
Environmental Geology, 2000X-ray fluorescent spectroscope analysis easily finds ratios of geochemical elements in soil. Applying the method of ratio matching to measured ratios, the classification of geological layers, and the flow directions of groundwater can be determined.
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Applications of error propagation analyses to geochemical calculation
Chinese Journal of Geochemistry, 1991Two examples are given for comparing applications and limitations of four methods which can be used to deal with error propagation in geochemical calculations. The examples indicate that the Monte Carlo method can also be employed to evaluate the effect of covariance.
Xu Weibiao, Rao Jilong
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