Sensitivity of source apportionment predicted by a Bayesian tracer mixing model to the inclusion of a sediment connectivity index as an informative prior: Illustration using the Kharka catchment (Nepal).
Compound-specific stable isotope (CSSI)
Prior information
Sediment connectivity index
Sediment source apportionment
Water erosion
Journal
The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500
Informations de publication
Date de publication:
15 Apr 2020
15 Apr 2020
Historique:
received:
09
06
2019
revised:
12
01
2020
accepted:
13
01
2020
pubmed:
6
2
2020
medline:
6
2
2020
entrez:
6
2
2020
Statut:
ppublish
Résumé
Long-chain saturated fatty acid (LCSFA) isotopic composition in tandem with Bayesian isotope mixing models (BIMM) can provide insight into land use-based sediment sources in catchment systems. Apportioning sediment sources robustly, however, requires careful consideration of how additional factors including topography, surface cover and land use practices interact to influence contributions from individual sources. Prior knowledge can be used in BIMM; however, the full capacity of this functionality has not been thoroughly exploited yet in conjunction with sediment fingerprinting. In response, we propose an approach for applying a state-of-the-art BIMM incorporating a sediment connectivity index (SCI) as an informative prior for sediment source apportionment in a highly hydrodynamic catchment in Nepal. A library of LCSFA carbon isotopic composition was constructed for surface soils collected from mixed forest, upland and lowland terraces in the Kharka micro-catchment. δ
Identifiants
pubmed: 32019038
pii: S0048-9697(20)30213-8
doi: 10.1016/j.scitotenv.2020.136703
pmc: PMC7043003
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
136703Subventions
Organisme : Biotechnology and Biological Sciences Research Council
ID : BBS/E/C/000I0330
Pays : United Kingdom
Informations de copyright
Copyright © 2020 The Authors. Published by Elsevier B.V. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of competing interest The authors declare that there is no conflict of interest.
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