A pan-Canadian calibration of micro-X-ray fluorescence core scanning data for prediction of sediment elemental concentrations

Q2 Environmental Science Environmental Advances Pub Date : 2024-02-01 DOI:10.1016/j.envadv.2024.100495
David R. Zilkey , Alexandre Baud , Pierre Francus , Dermot Antoniades , Irene Gregory-Eaves
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Abstract

Sediment geochemistry is one lens through which lake sediments are studied to reconstruct local and regional environmental processes. The measurement of sediment elemental composition has historically relied on expensive and destructive methods that limit the spatial and temporal scale of study. Micro-X-ray fluorescence (µXRF) core scanning offers a non-destructive, high-resolution alternative, but its results (i.e., intensity expressed as counts per second) are considered semi-quantitative and comparison among sites requires calibration. Calibration methods are emerging, although they are not yet widely employed and require further assessment of their efficacy. Using 135 sediment samples from 48 lakes across Canada, we assessed the congruence between µXRF and conventionally measured element compositions with various normalization and calibration techniques. Normalization of µXRF data to common proxies (e.g., Ca, Si, Ti, coherence:incoherence ratio, and total counts per second) often improved correlations between µXRF and conventional data, but increases were modest and not consistent for all elements. Our results suggest that µXRF normalization techniques should be applied cautiously, as no proxy represents a “one-size-fits-all” solution. The performance of multivariate log-ratio calibration (MLC) was more consistent, yielding moderate to strong improvement of the correlations between reference and predicted element concentrations. Random forest regression models outperformed partial least squares regression models for almost all elements. MLC may be applied where knowledge of elemental concentration is of great importance, or when comparing across multiple sites with diverse sediment geochemistries. Overall, our results reinforce uncalibrated µXRF core scanning as a strong investigative tool for measuring sediment geochemistry. Although calibrated µXRF data shows promise, conventional methods for measuring sediment geochemistry are still necessary for comparing element concentrations with sediment quality guidelines.

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用于预测沉积物元素浓度的微 X 射线荧光岩芯扫描数据的泛加拿大校准
沉积物地球化学是研究湖泊沉积物以重建当地和区域环境过程的一个视角。沉积物元素组成的测量历来依赖于昂贵的破坏性方法,这些方法限制了研究的空间和时间尺度。微 X 射线荧光 (µXRF) 岩心扫描提供了一种非破坏性、高分辨率的替代方法,但其结果(即以每秒计数表示的强度)被认为是半定量的,不同地点之间的比较需要校准。校准方法正在出现,但尚未得到广泛应用,需要进一步评估其有效性。我们使用来自加拿大 48 个湖泊的 135 个沉积物样本,利用各种归一化和校准技术评估了 µXRF 与传统测量元素组成之间的一致性。将 µXRF 数据归一化为常见的代用指标(如钙、硅、钛、相干:不相干比率和每秒总计数)通常会提高 µXRF 与常规数据之间的相关性,但提高幅度不大,而且并非对所有元素都一致。我们的研究结果表明,µXRF 归一化技术的应用应谨慎,因为没有一种替代方法是 "放之四海而皆准 "的解决方案。多变量对数比率校准 (MLC) 的性能较为一致,可适度到较强地改善参考浓度与预测元素浓度之间的相关性。几乎所有元素的随机森林回归模型都优于偏最小二乘回归模型。当元素浓度知识非常重要时,或在对具有不同沉积物地球化学特征的多个地点进行比较时,可采用 MLC 方法。总之,我们的研究结果证明,未经校准的 µXRF 岩心扫描是测量沉积物地球化学的有力调查工具。虽然经过校准的 µXRF 数据显示了前景,但要将元素浓度与沉积物质量准则进行比较,仍需要采用传统的沉积物地球化学测量方法。
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来源期刊
Environmental Advances
Environmental Advances Environmental Science-Environmental Science (miscellaneous)
CiteScore
7.30
自引率
0.00%
发文量
165
审稿时长
12 weeks
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