Literature DB >> 30915693

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.

Hamid Gholami1, Ebrahim Jafari TakhtiNajad2, Adrian L Collins3, Aboalhasan Fathabadi4.   

Abstract

A sediment source fingerprinting method, including a Monte Carlo simulation framework, was used to quantify the contributions of terrestrial sources of fine- (< 63 μm) and coarse-grained (63-500 μm) sediments sampled from three categories of coastal sediment deposits in the Jagin catchment, south-east of Jask, Hormozgan province, southern Iran: coastal dunes (CD), terrestrial sand dunes or onshore sediments (TSD), and marine or offshore sediments (MD). Forty-nine geochemical properties were measured in the two size fractions and a three-stage statistical process consisting of a conservation test, the Kruskal-Wallis H test, and stepwise discriminant function analysis (DFA) was applied to select final composite fingerprints for terrestrial source discrimination. Based on the statistical tests, four final fingerprints comprising Be, Ni, K and Cu and seven final fingerprints consisting Cu, Th, Be, Al, La, Mg and Fe were selected for discriminating terrestrial sources of the coastal fine- and coarse-grained sediments, respectively. Two geological spatial sources, including Quaternary (clay flat, high and low level fans and valley terraces) and Palaeocene age deposits, were identified as the main terrestrial sources of the fine-grained sediment sampled from the coastal deposits. A geological spatial source consisting of sandstone with siltstone, mudstone and minor conglomerate (Palaeocene age deposits) was identified as the main terrestrial source for coarse-grained sediment sampled from the coastal deposits.

Entities:  

Keywords:  Coastal sediment fingerprinting; Iran; Monte Carlo simulation framework; Uncertainty

Mesh:

Year:  2019        PMID: 30915693     DOI: 10.1007/s11356-019-04857-0

Source DB:  PubMed          Journal:  Environ Sci Pollut Res Int        ISSN: 0944-1344            Impact factor:   4.223


  15 in total

1.  Sediment source tracing in a lowland agricultural catchment in southern England using a modified procedure combining statistical analysis and numerical modelling.

Authors:  A L Collins; Y Zhang; D McChesney; D E Walling; S M Haley; P Smith
Journal:  Sci Total Environ       Date:  2011-11-25       Impact factor: 7.963

2.  Tracing sediment loss from eroding farm tracks using a geochemical fingerprinting procedure combining local and genetic algorithm optimisation.

Authors:  A L Collins; Y Zhang; D E Walling; S E Grenfell; P Smith
Journal:  Sci Total Environ       Date:  2010-08-15       Impact factor: 7.963

3.  Application of radiometric analysis in the study of provenance and transport processes of Brazilian coastal sediments.

Authors:  C Carvalho; R M Anjos; R Veiga; K Macario
Journal:  J Environ Radioact       Date:  2010-12-13       Impact factor: 2.674

4.  Fingerprinting sources of reservoir sediment via two modelling approaches.

Authors:  Samaneh Habibi; Hamid Gholami; Aboalhasan Fathabadi; John D Jansen
Journal:  Sci Total Environ       Date:  2019-01-26       Impact factor: 7.963

5.  Accuracy of mixing models in predicting sediment source contributions.

Authors:  Arman Haddadchi; Jon Olley; Patrick Laceby
Journal:  Sci Total Environ       Date:  2014-08-14       Impact factor: 7.963

6.  The use of composite fingerprints to quantify sediment sources in a wildfire impacted landscape, Alberta, Canada.

Authors:  M Stone; A L Collins; U Silins; M B Emelko; Y S Zhang
Journal:  Sci Total Environ       Date:  2014-01-07       Impact factor: 7.963

7.  Using biomarkers as fingerprint properties to identify sediment sources in a small catchment.

Authors:  Fangxin Chen; Nufang Fang; Zhihua Shi
Journal:  Sci Total Environ       Date:  2016-03-17       Impact factor: 7.963

8.  Use of sediment source fingerprinting to assess the role of subsurface erosion in the supply of fine sediment in a degraded catchment in the Eastern Cape, South Africa.

Authors:  Munyaradzi Manjoro; Kate Rowntree; Vincent Kakembo; Ian Foster; Adrian L Collins
Journal:  J Environ Manage       Date:  2016-08-04       Impact factor: 6.789

9.  The impact of catchment source group classification on the accuracy of sediment fingerprinting outputs.

Authors:  Simon Pulley; Ian Foster; Adrian L Collins
Journal:  J Environ Manage       Date:  2016-05-06       Impact factor: 6.789

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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  1 in total

1.  Sediment source fingerprinting: benchmarking recent outputs, remaining challenges and emerging themes.

Authors:  Adrian L Collins; Martin Blackwell; Pascal Boeckx; Charlotte-Anne Chivers; Monica Emelko; Olivier Evrard; Ian Foster; Allen Gellis; Hamid Gholami; Steve Granger; Paul Harris; Arthur J Horowitz; J Patrick Laceby; Nuria Martinez-Carreras; Jean Minella; Lisa Mol; Kazem Nosrati; Simon Pulley; Uldis Silins; Yuri Jacques da Silva; Micheal Stone; Tales Tiecher; Hari Ram Upadhayay; Yusheng Zhang
Journal:  J Soils Sediments       Date:  2020-09-16       Impact factor: 3.308

  1 in total

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