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GEOCHEMICAL DIAGNOSTICS OF COAL GENOTYPES: METHOD, CALIBRATION, AND BASIN TYPOLOGY
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Abstract
This study presents a geochemical method for discriminating coal types based on vitrinite maceral composition (telinite vs. collinite), using trace element ratios normalized to a reference aluminum content of 1.5%. Analysis of 146 samples from 13 coal basins demonstrates that conventional geochemical proxies (V/Ni, Ni/Co, U/Th, V/Cr) are unreliable for paleoenvironmental interpretation, whereas intra-basin calibration with 5–7 petrographically characterized samples achieves >94% accuracy in distinguishing coal facies formed under oxidizing versus reducing conditions. The method is validated on independent datasets from the USA, Turkey, Norway, and China (>200 samples). Twelve geochemical basin types are identified, including a newly recognized Marine Li-B type characterized by elevated critical metals (Li, B, Sr) associated with marine-influenced depositional environments. For As-rich basins, V/As normalization is proposed; for high-Al basins (e.g., North China), normalization to Si is recommended. A two-stage approach combining local petrographic calibration with geochemical screening reduces exploration costs by 85–90%. The study contributes to coal facies analysis, critical metal resource assessment (Li, V, Sr), and provides recommendations for updating ICCP, ASTM, and ISO standards.
DOI
https://doi.org/10.31223/X5CJ3G
Subjects
Physical Sciences and Mathematics
Keywords
coal macerals, vitrinite types, telinite, collinite, coal facies, paleoenvironment, trace elements, V/Al ratio, U/Th ratio, V/Cr ratio, Sr/Ba ratio, critical metals, lithium in coal, vanadium geochemistry, rare elements in coal, coal quality, coal oxidation, Marine Li-B type, geochemical proxies, coal basins, ICCP classification, ASTM standards, ISO standards
Dates
Published: 2026-03-10 12:14
Last Updated: 2026-03-10 12:14
License
CC BY Attribution 4.0 International
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Conflict of interest statement:
The author declares no competing interests.
Data Availability:
All data used in this study are derived from published sources and international databases (WoCQI, USGS COALQUAL) as cited in the manuscript. No new data were generated.
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