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Application of Corrected Methods for High-Resolution XRF Core Scanning Elements in Lake Sediments
- Source :
- Applied Sciences, Vol 10, Iss 8012, p 8012 (2020)
- Publication Year :
- 2020
- Publisher :
- MDPI AG, 2020.
-
Abstract
- Contemporary studies emphasize theoretical and analytical aspects of monitoring water quality within lacustrine settings. The X-ray fluorescence (XRF) core scanner provides the most rapid, non-destructive high-resolution elemental measurements for unprocessed sediments. However, the analytical precision of measured elemental composition may be offset due to water content and inhomogeneities in the physical properties of the sediment. A range of calibration approaches developed specifically for converting XRF scanning intensities to element fractions has been made available. Here, two lake sediment-cores retrieved from southwest China were used to evaluate the performance of various calibration methods. In particular, the influence of sediment properties on XRF scanning intensities was assessed by redundancy analyses (RDA) and the generalized additive model (GAM). The results demonstrate that for fine-grained sediments, the impact of grain size results in only minor deviations in the XRF scanning intensities. Water content of the lake sediment was shown to be the most important factor influencing the XRF scanning intensities, especially for light elements (e.g., Al to Fe). Significant decreases in XRF scanning intensities may occur when sediment water content is greater than 47%. We recommend testing the element fractions obtained via conventional techniques throughout the core and applying the multivariate log-ratio calibration for high-resolution XRF scanning elements within lake sediments.
- Subjects :
- 010504 meteorology & atmospheric sciences
lake sediments
Mineralogy
High resolution
010502 geochemistry & geophysics
01 natural sciences
log-ratio
lcsh:Technology
lcsh:Chemistry
Calibration
General Materials Science
Instrumentation
Water content
lcsh:QH301-705.5
0105 earth and related environmental sciences
Fluid Flow and Transfer Processes
water content
grain size
Elemental composition
lcsh:T
Process Chemistry and Technology
General Engineering
Sediment
core scanner
Grain size
lcsh:QC1-999
Computer Science Applications
Core (optical fiber)
elements
lcsh:Biology (General)
lcsh:QD1-999
lcsh:TA1-2040
Environmental science
Water quality
lcsh:Engineering (General). Civil engineering (General)
lcsh:Physics
Subjects
Details
- Language :
- English
- ISSN :
- 20763417
- Volume :
- 10
- Issue :
- 8012
- Database :
- OpenAIRE
- Journal :
- Applied Sciences
- Accession number :
- edsair.doi.dedup.....e4e97ccf721577f861b1ccfd14d2ad27