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An extended Bayesian sediment fingerprinting mixing model for the full Bayes treatment of geochemical uncertainties
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/(sici)1099-1085(199905)13:7<955::aid-hyp784>3.0.co;2-gopenalex-snapshot
Fingerprinting suspended sediment sources in the catchment of the River Ouse, Yorkshire, UK
inferredcites →https://doi.org/10.1002/2014wr016194openalex-snapshot
Sensitivity of fluvial sediment source apportionment to mixing model assumptions: A B ayesian model comparison
inferredcites →https://doi.org/10.1002/2015wr018030openalex-snapshot
An enhanced Bayesian fingerprinting framework for studying sediment source dynamics in intensively managed landscapes
inferredcites →https://doi.org/10.1002/env.2221openalex-snapshot
Bayesian stable isotope mixing models
inferredcites →https://doi.org/10.1002/esp.3621openalex-snapshot
High‐temporal resolution fluvial sediment source fingerprinting with uncertainty: a Bayesian approach
inferredcites →https://doi.org/10.1002/hyp.10287openalex-snapshot
An examination of geochemical modelling approaches to tracing sediment sources incorporating distribution mixing and elemental correlations
inferredcites →https://doi.org/10.1002/hyp.10364openalex-snapshot
Sediment source apportionment in Laurel Hill Creek, PA, using Bayesian chemical mass balance and isotope fingerprinting
inferredcites →https://doi.org/10.1002/hyp.10397openalex-snapshot
A bootstrap calculation of confidence regions for proportions of sediment contributed by different source areas in a ‘fingerprinting’ model
inferredcites →https://doi.org/10.1002/hyp.8283openalex-snapshot
Quantifying fine‐grained sediment sources in the River Axe catchment, southwest England: application of a Monte Carlo numerical modelling framework incorporating local and genetic algorithm optimisation
inferredcites →https://doi.org/10.1002/hyp.9399openalex-snapshot
Unravelling changing sediment sources in a Mediterranean mountain catchment: a Bayesian fingerprinting approach
inferredcites →https://doi.org/10.1002/hyp.9429openalex-snapshot
Suspended sediment source apportionment in Chesapeake Bay watershed using Bayesian chemical mass balance receptor modeling
inferredcites →https://doi.org/10.1002/hyp.9654openalex-snapshot
Contemporary fine‐grained bed sediment sources across the River Wensum Demonstration Test Catchment, UK
inferredcites →https://doi.org/10.1002/hyp.9945openalex-snapshot
Combining two filter paper‐based analytical methods to monitor temporal variations in the geochemical properties of fluvial suspended particulate matter
inferredcites →https://doi.org/10.1007/s11368-009-0162-1openalex-snapshot
A rapid spectral-reflectance-based fingerprinting approach for documenting suspended sediment sources during storm runoff events
inferredcites →https://doi.org/10.1007/s11368-013-0659-5openalex-snapshot
Sediment tracers in water erosion studies: current approaches and challenges
inferredcites →https://doi.org/10.1007/s11368-013-0767-2openalex-snapshot
The evolution of sediment source fingerprinting investigations in fluvial systems
inferredcites →https://doi.org/10.1007/s11368-014-0913-5openalex-snapshot
Toward generalizable sediment fingerprinting with tracers that are conservative and nonconservative over sediment routing timescales
inferredcites →https://doi.org/10.1007/s11368-015-1111-9openalex-snapshot
A comparison of geological and statistical approaches to element selection for sediment fingerprinting
inferredcites →https://doi.org/10.1007/s11368-015-1123-5openalex-snapshot
Uncertainty-based assessment of tracer selection, tracer non-conservativeness and multiple solutions in sediment fingerprinting using synthetic and field data
inferredcites →https://doi.org/10.1007/s11368-015-1179-2openalex-snapshot
Sediment fingerprinting in northern Jordan: element-specific correction factors in a carbonatic setting
inferredcites →https://doi.org/10.1007/s11368-015-1203-6openalex-snapshot
The role of gravel channel beds on the particle size and organic matter selectivity of transported fine-grained sediment: implications for sediment fingerprinting and biogeochemical flux research
inferredcites →https://doi.org/10.1007/s11368-015-1231-2openalex-snapshot
Preface—Addressing challenges to advance sediment fingerprinting research
inferredcites →https://doi.org/10.1016/j.advwatres.2007.06.008openalex-snapshot
An un-mixing model to study watershed erosion processes
inferredcites →https://doi.org/10.1016/j.apgeog.2011.07.004openalex-snapshot
Sediment fingerprinting as an environmental forensics tool explaining cyanobacteria blooms in lakes
inferredcites →https://doi.org/10.1016/j.earscirev.2013.05.009openalex-snapshot
The behavioural characteristics of sediment properties and their implications for sediment fingerprinting as an approach for identifying sediment sources in river basins
inferredcites →https://doi.org/10.1016/j.geoderma.2013.12.002openalex-snapshot
A mixing model to incorporate uncertainty in sediment fingerprinting
inferredcites →https://doi.org/10.1016/j.geoderma.2014.09.024openalex-snapshot
Apportionment of suspended sediment sources in an agricultural watershed using sediment fingerprinting
inferredcites →https://doi.org/10.1016/j.geomorph.2011.10.036openalex-snapshot
Tracing crop-specific sediment sources in agricultural catchments
inferredcites →https://doi.org/10.1016/j.geomorph.2013.08.003openalex-snapshot
Sediment fingerprinting in agricultural catchments: A critical re-examination of source discrimination and data corrections
inferredcites →https://doi.org/10.1016/j.geomorph.2014.09.016openalex-snapshot
The uncertainties associated with sediment fingerprinting suspended and recently deposited fluvial sediment in the Nene river basin
inferredcites →https://doi.org/10.1016/j.jenvman.2016.04.048openalex-snapshot
The impact of catchment source group classification on the accuracy of sediment fingerprinting outputs
inferredcites →https://doi.org/10.1016/j.scitotenv.2014.07.105openalex-snapshot
Accuracy of mixing models in predicting sediment source contributions
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.03.058openalex-snapshot
Apportioning sources of organic matter in streambed sediments: An integrated molecular and compound-specific stable isotope approach
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.05.003openalex-snapshot
Comparing catchment sediment fingerprinting procedures using an auto-evaluation approach with virtual sample mixtures
inferredcites →https://doi.org/10.1016/j.scitotenv.2015.11.003openalex-snapshot
Characterization and quantification of suspended sediment sources to the Manawatu River, New Zealand
inferredcites →https://doi.org/10.1016/j.scitotenv.2016.04.137openalex-snapshot
Sources of variability in fatty acid (FA) biomarkers in the application of compound-specific stable isotopes (CSSIs) to soil and sediment fingerprinting and tracing: A review
inferredcites →https://doi.org/10.1016/s0341-8162(96)00064-1openalex-snapshot
Source type ascription for fluvial suspended sediment based on a quantitative composite fingerprinting technique
inferredcites →https://doi.org/10.1021/es100053vopenalex-snapshot
Including Source Uncertainty and Prior Information in the Analysis of Stable Isotope Mixing Models
inferredcites →https://doi.org/10.1023/a:1023818214614openalex-snapshot
Isometric Logratio Transformations for Compositional Data Analysis
inferredcites →https://doi.org/10.1023/a:1025413721647openalex-snapshot
A reconnaissance survey of the source of interstitial fine sediment recovered from salmonid spawning gravels in England and Wales
inferredcites →https://doi.org/10.1371/journal.pone.0028478openalex-snapshot
Estimating the Diets of Animals Using Stable Isotopes and a Comprehensive Bayesian Mixing Model
inferredcites →https://doi.org/10.2134/jeq2008.0179openalex-snapshot
Uncertainties in Data and Models to Describe Event Dynamics of Agricultural Sediment and Phosphorus Transfer
inferredcites →https://doi.org/10.4319/lom.2008.6.190openalex-snapshot
A Bayesian compositional estimator for microbial taxonomy based on biomarkers
inferredcites →https://doi.org/10.48550/arxiv.1111.4246openalex-snapshot
The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo
inferredcites →https://doi.org/10.5194/bg-13-1587-2016openalex-snapshot
Quantitative sediment source attribution with compound-specific isotope analysis in a C3 plant-dominated catchment (central Switzerland)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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inferred← citeshttps://doi.org/10.1002/hyp.13306openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11368-018-2199-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11368-019-02409-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11368-020-02755-4openalex-snapshot
Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes
inferred← citeshttps://doi.org/10.1007/s11368-022-03157-4openalex-snapshot
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Exploratory radioisotope measurements suggest that in-stream erosion represents the main sediment source in a pristine, tropical rainforest in Costa Rica
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inferred← citeshttps://doi.org/10.1016/j.agee.2018.08.023openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2020.105095openalex-snapshot
Tracing total and dissolved material in a western Canadian basin using quality control samples to guide the selection of fingerprinting parameters for modelling
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inferred← citeshttps://doi.org/10.1016/j.catena.2022.106474openalex-snapshot
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Application of mass balance and unmixing model to trace sediment sources in an agricultural catchment
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Spatiotemporal evolution of aeolian sedimentary landscapes on the southern Tibetan Plateau during the late Quaternary: A review and recent advances
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A framework for testing large-scale distributed soil erosion and sediment delivery models: Dealing with uncertainty in models and the observational data
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106759openalex-snapshot
Using artificial mixtures to test the impacts of tracer combinations and model selection on the performance of sediment source fingerprinting in a burned area
inferred← citeshttps://doi.org/10.1016/j.geoderma.2018.07.019openalex-snapshot
Field scale temporal and spatial variability of δ13C, δ15N, TC and TN soil properties: Implications for sediment source tracing
inferred← citeshttps://doi.org/10.1016/j.geoderma.2022.116131openalex-snapshot
Evaluation of Five Different Sediment Fingerprinting Approaches for Estimating Sediment Source Contributions in an Arid Region
inferred← citeshttps://doi.org/10.1016/j.heliyon.2023.e21559openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ijsrc.2023.02.003openalex-snapshot
Spatio-temporal suspended sediment fingerprinting under different land management practices
inferred← citeshttps://doi.org/10.1016/j.ijsrc.2023.12.003openalex-snapshot
Quantification of sedimentary organic carbon sources in a land–river–lake continuum combined with multi-fingerprint and un-mixing models
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New insights on optimizing aeolian–fluvial sediment source fingerprinting using geomorphic controls and correction factors—Case study: Lake Urmia sand dunes, NW Iran
inferred← citeshttps://doi.org/10.1016/j.jenvman.2018.10.035openalex-snapshot
Mitigating river sediment enrichment through the construction of roadside wetlands
inferred← citeshttps://doi.org/10.1016/j.jenvman.2021.113593openalex-snapshot
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