Literature DB >> 27743830

Sediment source fingerprinting as an aid to catchment management: A review of the current state of knowledge and a methodological decision-tree for end-users.

A L Collins1, S Pulley2, I D L Foster3, A Gellis4, P Porto5, A J Horowitz6.   

Abstract

The growing awareness of the environmental significance of fine-grained sediment fluxes through catchment systems continues to underscore the need for reliable information on the principal sources of this material. Source estimates are difficult to obtain using traditional monitoring techniques, but sediment source fingerprinting or tracing procedures, have emerged as a potentially valuable alternative. Despite the rapidly increasing numbers of studies reporting the use of sediment source fingerprinting, several key challenges and uncertainties continue to hamper consensus among the international scientific community on key components of the existing methodological procedures. Accordingly, this contribution reviews and presents recent developments for several key aspects of fingerprinting, namely: sediment source classification, catchment source and target sediment sampling, tracer selection, grain size issues, tracer conservatism, source apportionment modelling, and assessment of source predictions using artificial mixtures. Finally, a decision-tree representing the current state of knowledge is presented, to guide end-users in applying the fingerprinting approach.
Copyright © 2016 The Authors. Published by Elsevier Ltd.. All rights reserved.

Entities:  

Keywords:  Mixing model; Source fingerprinting; Source tracing; Suspended sediment sources; Uncertainty

Mesh:

Year:  2016        PMID: 27743830     DOI: 10.1016/j.jenvman.2016.09.075

Source DB:  PubMed          Journal:  J Environ Manage        ISSN: 0301-4797            Impact factor:   6.789


  13 in total

1.  Fingerprinting sub-basin spatial suspended sediment sources by combining geochemical tracers and weathering indices.

Authors:  Kazem Nosrati; Zeynab Fathi; Adrian L Collins
Journal:  Environ Sci Pollut Res Int       Date:  2019-08-02       Impact factor: 4.223

2.  Monte Carlo fingerprinting of the terrestrial sources of different particle size fractions of coastal sediment deposits using geochemical tracers: some lessons for the user community.

Authors:  Hamid Gholami; Ebrahim Jafari TakhtiNajad; Adrian L Collins; Aboalhasan Fathabadi
Journal:  Environ Sci Pollut Res Int       Date:  2019-03-26       Impact factor: 4.223

3.  Tracing sediment sources in a mountainous forest catchment under road construction in northern Iran: comparison of Bayesian and frequentist approaches.

Authors:  Kazem Nosrati; Arman Haddadchi; Adrian L Collins; Saeedeh Jalali; Mohammad Reza Zare
Journal:  Environ Sci Pollut Res Int       Date:  2018-09-04       Impact factor: 4.223

4.  Evaluating the responses of taxa in the orders Ephemeroptera, Plecoptera and Trichoptera (EPT) to sediment stress in the Tsitsa River and its tributaries, Eastern Cape, South Africa.

Authors:  Frank Chukwuzuoke Akamagwuna; Paul Kojo Mensah; Chika Felicitas Nnadozie; Oghenekaro Nelson Odume
Journal:  Environ Monit Assess       Date:  2019-10-24       Impact factor: 2.513

5.  Sediment-associated organic matter sources and sediment oxygen demand in a Special Area of Conservation (SAC): A case study of the River Axe, UK.

Authors:  A L Collins; Y Zhang; S McMillan; E R Dixon; A Stringfellow; S Bateman; D A Sear
Journal:  River Res Appl       Date:  2017-06-29       Impact factor: 2.443

6.  The representation of sediment source group tracer distributions in Monte Carlo uncertainty routines for fingerprinting: An analysis of accuracy and precision using data for four contrasting catchments.

Authors:  Simon Pulley; Adrian L Collins; J Patrick Laceby
Journal:  Hydrol Process       Date:  2020-03-10       Impact factor: 3.565

7.  137Cs-Based Variation of Soil Erosion in Vertical Zones of a Small Catchment in Southwestern China.

Authors:  Jiacun Chen; Zhonglin Shi; Anbang Wen; Dongchun Yan; Taili Chen
Journal:  Int J Environ Res Public Health       Date:  2019-04-16       Impact factor: 3.390

8.  Investigating the importance of recreational roads as a sediment source in a mountainous catchment using a fingerprinting procedure with different multivariate statistical techniques and a Bayesian un-mixing model.

Authors:  Kazem Nosrati; Adrian L Collins
Journal:  J Hydrol (Amst)       Date:  2019-02       Impact factor: 5.722

9.  A deconvolutional Bayesian mixing model approach for river basin sediment source apportionment.

Authors:  William H Blake; Pascal Boeckx; Brian C Stock; Hugh G Smith; Samuel Bodé; Hari R Upadhayay; Leticia Gaspar; Rupert Goddard; Amy T Lennard; Ivan Lizaga; David A Lobb; Philip N Owens; Ellen L Petticrew; Zou Zou A Kuzyk; Bayu D Gari; Linus Munishi; Kelvin Mtei; Amsalu Nebiyu; Lionel Mabit; Ana Navas; Brice X Semmens
Journal:  Sci Rep       Date:  2018-08-30       Impact factor: 4.379

10.  Tracing catchment fine sediment sources using the new SIFT (SedIment Fingerprinting Tool) open source software.

Authors:  S Pulley; A L Collins
Journal:  Sci Total Environ       Date:  2018-04-24       Impact factor: 7.963

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