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High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting

High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting
High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting

Purpose
This study tests the feasibility of using a submersible spectrophotometer as a novel method to trace and apportion suspended sediment sources in situ and at high temporal frequency.

Methods
Laboratory experiments were designed to identify how absorbance at different wavelengths can be used to un-mix artificial mixtures of soil samples (i.e. sediment sources). The experiment consists of a tank containing 40 L of water, to which the soil samples and soil mixtures of known proportions were added in suspension. Absorbance measurements made using the submersible spectrophotometer were used to elucidate: (i) the effects of concentrations on absorbance, (ii) the relationship between absorbance and particle size and (iii) the linear additivity of absorbance as a prerequisite for un-mixing.

Results
The observed relationships between soil sample concentrations and absorbance in the ultraviolet visible (UV–VIS) wavelength range (200–730 nm) indicated that differences in absorbance patterns are caused by soil-specific properties and particle size. Absorbance was found to be linearly additive and could be used to predict the known soil sample proportions in mixtures using the MixSIAR Bayesian tracer mixing model. Model results indicate that dominant contributions to mixtures containing two and three soil samples could be predicted well, whilst accuracy for four-soil sample mixtures was lower (with respective mean absolute errors of 15.4%, 12.9% and 17.0%).

Conclusion
The results demonstrate the potential for using in situ submersible spectrophotometer sensors to trace suspended sediment sources at high temporal frequency.
1439-0108
348-364
Lake, Niels F.
95d30a98-c623-4bf9-a4f7-7117fd76e231
Martínez-carreras, Núria
e7e77012-3001-403b-a40b-7b1f56c29d49
Shaw, Peter J.
dcb6c9af-bf38-4dfe-8395-8aeac2ad5cc7
Collins, Adrian L.
700e5f6a-4de3-4406-ad7a-d9d8ec0a5069
Lake, Niels F.
95d30a98-c623-4bf9-a4f7-7117fd76e231
Martínez-carreras, Núria
e7e77012-3001-403b-a40b-7b1f56c29d49
Shaw, Peter J.
dcb6c9af-bf38-4dfe-8395-8aeac2ad5cc7
Collins, Adrian L.
700e5f6a-4de3-4406-ad7a-d9d8ec0a5069

Lake, Niels F., Martínez-carreras, Núria, Shaw, Peter J. and Collins, Adrian L. (2022) High frequency un-mixing of soil samples using a submerged spectrophotometer in a laboratory setting—implications for sediment fingerprinting. Journal of Soils and Sediments, 22 (1), 348-364. (doi:10.1007/s11368-021-03107-6).

Record type: Article

Abstract


Purpose
This study tests the feasibility of using a submersible spectrophotometer as a novel method to trace and apportion suspended sediment sources in situ and at high temporal frequency.

Methods
Laboratory experiments were designed to identify how absorbance at different wavelengths can be used to un-mix artificial mixtures of soil samples (i.e. sediment sources). The experiment consists of a tank containing 40 L of water, to which the soil samples and soil mixtures of known proportions were added in suspension. Absorbance measurements made using the submersible spectrophotometer were used to elucidate: (i) the effects of concentrations on absorbance, (ii) the relationship between absorbance and particle size and (iii) the linear additivity of absorbance as a prerequisite for un-mixing.

Results
The observed relationships between soil sample concentrations and absorbance in the ultraviolet visible (UV–VIS) wavelength range (200–730 nm) indicated that differences in absorbance patterns are caused by soil-specific properties and particle size. Absorbance was found to be linearly additive and could be used to predict the known soil sample proportions in mixtures using the MixSIAR Bayesian tracer mixing model. Model results indicate that dominant contributions to mixtures containing two and three soil samples could be predicted well, whilst accuracy for four-soil sample mixtures was lower (with respective mean absolute errors of 15.4%, 12.9% and 17.0%).

Conclusion
The results demonstrate the potential for using in situ submersible spectrophotometer sensors to trace suspended sediment sources at high temporal frequency.

Text
s11368-021-03107-6 - Version of Record
Available under License Creative Commons Attribution.
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More information

Accepted/In Press date: 4 November 2022
Published date: 22 November 2022

Identifiers

Local EPrints ID: 476773
URI: http://eprints.soton.ac.uk/id/eprint/476773
ISSN: 1439-0108
PURE UUID: 3a9045fb-7757-42e9-a7ee-67def3a86b05
ORCID for Niels F. Lake: ORCID iD orcid.org/0000-0002-5909-2005
ORCID for Peter J. Shaw: ORCID iD orcid.org/0000-0001-9044-1069

Catalogue record

Date deposited: 15 May 2023 16:59
Last modified: 17 Mar 2024 01:49

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Contributors

Author: Niels F. Lake ORCID iD
Author: Núria Martínez-carreras
Author: Peter J. Shaw ORCID iD
Author: Adrian L. Collins

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