The spatio-temporal dynamics of suspended sediment sources based on a novel indexing approach combining Bayesian geochemical fingerprinting with physically-based modelling

A - Papers appearing in refereed journals

Das, A., Remesan, R., Collins, A. L. and Kumar Gupta, A. 2023. The spatio-temporal dynamics of suspended sediment sources based on a novel indexing approach combining Bayesian geochemical fingerprinting with physically-based modelling. Journal of Environmental Management. 345, p. 118649. https://doi.org/10.1016/j.jenvman.2023.118649

AuthorsDas, A., Remesan, R., Collins, A. L. and Kumar Gupta, A.
Abstract

Applications of sediment source fingerprinting continue to increase globally as the need for information to support improved management of the sediment problem persists. In our novel research, a Bayesian fingerprinting approach using MixSIAR was used with geochemical signatures, both without and with informative priors based on particle size and slope. The source estimates were compared with a newly proposed Source Sensitivity Index (SSI) and outputs from the INVEST-SDR model. MixSIAR results with informative priors indicated that agricultural and barren lands are the principal sediment sources (contributing ∼5–85% and ∼5–80% respectively during two sampling periods i.e. 2018-2019 and 2021–2022) with forests being less important. The SSI spatial maps (using % clay and slope as informative priors) showed >78% agreement with the spatial map derived using the INVEST-SDR model in terms of sub-catchment prioritization for spatial sediment source contributions. This study demonstrates the benefits of combining geochemical sediment source fingerprinting with SSI indices in larger catchments where the spatial prioritization of soil and water conservation is both challenging but warranted.

KeywordsSediment fingerprinting ; MixSIAR model ; Prior information ; Particle size distribution ; INVEST model
Year of Publication2023
JournalJournal of Environmental Management
Journal citation345, p. 118649
Digital Object Identifier (DOI)https://doi.org/10.1016/j.jenvman.2023.118649
Web address (URL)https://www.sciencedirect.com/science/article/abs/pii/S0301479723014378?via%3Dihub
Open accessPublished as green open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeResilient Farming Futures
Ministry of Human Resources Department (Government of India)
Output statusPublished
Publication dates
Online21 Jul 2023
Publication process dates
Accepted15 Jul 2023
PublisherAcademic Press Ltd- Elsevier Science Ltd
ISSN0301-4797

Permalink - https://repository.rothamsted.ac.uk/item/98x85/the-spatio-temporal-dynamics-of-suspended-sediment-sources-based-on-a-novel-indexing-approach-combining-bayesian-geochemical-fingerprinting-with-physically-based-modelling

Restricted files

Publisher's version

Under embargo indefinitely

Accepted author manuscript

Under embargo until 21 Jul 2024

54 total views
0 total downloads
2 views this month
0 downloads this month