Quantitative Characterization of Carbonate Mineralogy in Lake Yangzong Sediments Using XRF-Derived Calcium Signatures and Inorganic Carbon Measurements

The carbonate content serves as a fundamental proxy in lacustrine sediments for reconstructing palaeoclimate and environmental changes. Although multiple analytical techniques exist for its quantification, systematic comparisons between different methodologies and the precise identification of carbonate mineralogy are still needed. In this study, a 1020 cm continuous sediment core (YZH-1) from Lake Yangzong in Yunnan Province was employed. Initially, the semi-quantitative calcium (Ca) concentration was obtained via X-ray fluorescence (XRF) core scanning. Subsequently, the total inorganic carbon (TIC) content was determined using both the loss on ignition (LOI) and gasometric (GM) methods to evaluate methodological discrepancies and potential biases. Furthermore, a quantitative regression model was developed to estimate carbonate abundance based on the relationship between XRF-derived Ca data and the analytically determined carbonate content. A comparative analysis revealed a strong positive correlation (r = 0.97) between LOI and GM measurements, though LOI-derived values are systematically elevated by 2.6% on average. This overestimation likely stems from the thermal decomposition of non-carbonate minerals during LOI analysis. Conversely, GM measurements exhibit a ~5% underestimation relative to certified reference materials, attributable to instrumental limitations such as gas leakage. Strong covariation (r = 0.92) between XRF-Ca intensities and the TIC content indicates that carbonate minerals in Lake Yangzong sediments predominantly consist of calcite. A transfer function was established to convert XRF-Ca scanning data into absolute Ca concentrations, leveraging the robust Ca-TIC relationship. The proposed quantification model demonstrates high reliability when applied to standardized XRF-Ca datasets, offering a practical tool for paleolimnological studies in similar geological settings.

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Journal
Water
Published
2025-06-29
DOI
https://doi.org/10.3390/w17131949
Citations
1
Primary Topic
Geology and Paleoclimatology Research
Type
article
Field-Weighted Citation Impact
1.30

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article

Quantitative Characterization of Carbonate Mineralogy in Lake Yangzong Sediments Using XRF-Derived Calcium Signatures and Inorganic Carbon Measurements

Jaewon Mo, Lizeng Duan, Han Wang, Hucai Zhang et al.
1 citations
Water
Geology and Paleoclimatology Research
1.30
article

Quantitative Characterization of Carbonate Mineralogy in Lake Yangzong Sediments Using XRF-Derived Calcium Signatures and Inorganic Carbon Measurements

Jaewon Mo, Lizeng Duan, Han Wang, Hucai Zhang, Huayu Li, Qifa Sun, Jingwen Wu, Huayong Li, Jin-Sheng Lin
article en
1 citations

Abstract

The carbonate content serves as a fundamental proxy in lacustrine sediments for reconstructing palaeoclimate and environmental changes. Although multiple analytical techniques exist for its quantification, systematic comparisons between different methodologies and the precise identification of carbonate mineralogy are still needed. In this study, a 1020 cm continuous sediment core (YZH-1) from Lake Yangzong in Yunnan Province was employed. Initially, the semi-quantitative calcium (Ca) concentration was obtained via X-ray fluorescence (XRF) core scanning. Subsequently, the total inorganic carbon (TIC) content was determined using both the loss on ignition (LOI) and gasometric (GM) methods to evaluate methodological discrepancies and potential biases. Furthermore, a quantitative regression model was developed to estimate carbonate abundance based on the relationship between XRF-derived Ca data and the analytically determined carbonate content. A comparative analysis revealed a strong positive correlation (r = 0.97) between LOI and GM measurements, though LOI-derived values are systematically elevated by 2.6% on average. This overestimation likely stems from the thermal decomposition of non-carbonate minerals during LOI analysis. Conversely, GM measurements exhibit a ~5% underestimation relative to certified reference materials, attributable to instrumental limitations such as gas leakage. Strong covariation (r = 0.92) between XRF-Ca intensities and the TIC content indicates that carbonate minerals in Lake Yangzong sediments predominantly consist of calcite. A transfer function was established to convert XRF-Ca scanning data into absolute Ca concentrations, leveraging the robust Ca-TIC relationship. The proposed quantification model demonstrates high reliability when applied to standardized XRF-Ca datasets, offering a practical tool for paleolimnological studies in similar geological settings.

WaterVol. 17(13)
Yunnan University (CN), Shanghai Normal University (CN), Anyang Normal University (CN), Yunnan Institute of Environmental Sciences (CN), Chuxiong Normal University (CN), Freie Universität Berlin (DE)
National Natural Science Foundation of China, Ministry of Education of the People's Republic of China, Natural Science Foundation of Henan Province, Key Scientific Research Project of Colleges and Universities in Henan Province
Openalex Percentile: Top 21%
Geology and Paleoclimatology Research
1.30
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