Abstract
Purpose
This research attempts to describe the partitioning pattern of metals with particle size distribution and to reveal its underlying mechanisms in natural sediments, in order to explain the variability of metal spatial patterns and its potential environmental implications at a large spatial scale.
Materials and methods
A set of individual sediment samples from two shallow lakes was separated into size-grouped particles ranging from 1 to 50 μm and was analyzed to determine the concentrations of iron (Fe) oxides, aluminum (Al) oxides, arsenic (As), chromium (Cr), copper (Cu), zinc (Zn), lead (Pb), and cadmium (Cd). The adsorption isotherms of the metals on sediments, with Cu and Pb as representatives, were used to explain the underlying mechanisms of this proposed exponential partitioning pattern.
Results and discussion
The ranges of trace metals in sediment samples are 18.0–40.3 mg kg−1 for As, 81.3–141.4 mg kg−1 for Cr, 18.2–33.7 mg kg−1 for Cu, 74.7–249.1 mg kg−1 for Zn, 23.2–47.4 mg kg−1 for Ni, 22.0–51.4 mg kg−1 for Pb, and 0.20–0.70 mg kg−1 for Cd. We propose the equation cx = c0 + cmexp(− kdx), in which the metal concentration (cx) of sediment particles decreases exponentially with increase in particle size (x). The c0 is a constant based on the background concentration, cm represents the maximum metal concentration of the finest particles reflecting metal pollution degree, and kd is a constant describing the decrease rate with particle size (x). The partitioning amount is proportional to the sorption affinity of particles, which is a comprehensive parameter dependent on the amount of metal adsorbents including organic matter, Fe, and Al (hydr)oxides contained in particles.
Conclusion
The exponential equation separated the affecting factors of metal concentration into metal pollution level and particle size with environmental implications. This partition pattern can be well explained by adsorption isotherms conducted on size-fractionated particles.
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Data availability
The datasets generated and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Funding
This research was supported by the Natural Science Foundation of Shandong Province (No. ZR2021MD017), and the National Natural Science Foundation of China (No. 41807398; 51579001).
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Conhui Wang: methodology, investigation, data curation, visualization, formal analysis. Qitao Yi: conceptualization; writing—original draft; writing—review and editing; validation; funding acquisition; supervision. Keke Wan: methodology, investigation, data curation. Jin Zhang: funding acquisition, writing—review and editing.
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Wang, C., Yi, Q., Wan, K. et al. Partitioning pattern of metals onto sediment particles in shallow lakes: an exponential decrease with increased particle size and its environmental implications. J Soils Sediments 23, 483–495 (2023). https://doi.org/10.1007/s11368-022-03389-4
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DOI: https://doi.org/10.1007/s11368-022-03389-4