Literature DB >> 27449963

Fingerprinting surficial sediment sources: Exploring some potential problems associated with the spatial variability of source material properties.

Pengfei Du1, Des E Walling2.   

Abstract

Recent advances in sediment source tracing or fingerprinting procedures have focussed primarily on the use of novel sediment properties that are either easier to measure or provide improved source discrimination, or on improved procedures for representing and estimating the uncertainty associated with the final source apportionment results. Spatial variability of source properties has long been recognised as a potential problem for the approach, but there have been few attempts to explore the nature and magnitude of such variability and its wider implications for source fingerprinting investigations. This contribution addresses this issue with particular reference to surficial sediment sources. It reports the results of an investigation aimed at documenting the magnitude and nature of the spatial variability of the geochemical properties of surface soils within a single 7 ha cultivated field and exploring the implications of the findings for sediment source fingerprinting procedures. Samples of surface soil were collected from 52 points located within the field. Particular attention is directed to the extent of the spatial variability of 53 geochemical properties of the surface soil which could potentially be used as fingerprints, the importance of the influence of soil redistribution rate on the properties of the surface soil, provision of guidelines for selecting sampling points and the degree of correlation between different soil properties and its implications for the numerical procedures employed in sediment source fingerprinting studies. A novel aspect of the study is that caesium-137 (137Cs) measurements were used to provide information on the magnitude and spatial pattern of the soil redistribution rate within the field, so that the influence of soil redistribution rate in causing systematic spatial variability of fingerprint properties could be further explored.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Fingerprint properties; Fingerprinting; Property correlation; Sediment source tracing; Soil redistribution rate; Spatial variability

Mesh:

Substances:

Year:  2016        PMID: 27449963     DOI: 10.1016/j.jenvman.2016.05.066

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


  3 in total

1.  Sediment Source Fingerprinting of the Lake Urmia Sand Dunes.

Authors:  Hesam Ahmady-Birgani; Edris Agahi; Seyed Javad Ahmadi; Mahdi Erfanian
Journal:  Sci Rep       Date:  2018-01-09       Impact factor: 4.379

2.  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

3.  Improving the design and implementation of sediment fingerprinting studies: summary and outcomes of the TRACING 2021 Scientific School.

Authors:  Olivier Evrard; Pedro V G Batista; Jaume Company; Aymeric Dabrin; Anthony Foucher; Amaury Frankl; Julián García-Comendador; Arnaud Huguet; Niels Lake; Ivan Lizaga; Núria Martínez-Carreras; Oldrich Navratil; Cécile Pignol; Virginie Sellier
Journal:  J Soils Sediments       Date:  2022-04-23       Impact factor: 3.536

  3 in total

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