A - Papers appearing in refereed journals
Nosrati, K. and Collins, A. L. 2019. 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. Journal of Hydrology. 569 (February), pp. 506-518. https://doi.org/10.1016/j.jhydrol.2018.12.019
Authors | Nosrati, K. and Collins, A. L. |
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Abstract | Road construction associated with land development generally increases erosion and sediment yields. Construction of unpaved roads has the potential to alter hydro-sedimentological behavior and catchment sediment source dynamics and, to date, this has largely been investigated in forested environments. The objective of this study, therefore, was to assess the relative importance of unpaved recreational roads as a sediment source alongside hillslope surface soils and stream channel banks in a non-forested mountainous catchment in northern Tehran, Iran, using a fingerprinting procedure. Eleven geochemical tracers were measured on 27 samples collected to characterise the sediment sources and five suspended sediment samples collected at the study catchment outlet. The statistical analysis employed to select three different composite fingerprints for discriminating the sediment sources comprised: (1) the Kruskal–Wallis H test (KW-H), (2) a combination of KW-H and discriminant function analysis (DFA), and (3) a combination of KW-H and principal components & classification analysis (PCCA). A Bayesian un-mixing model was used to ascribe sediment source contributions using the three composite fingerprints. Using the KW-H composite signature, the respective relative contributions (with uncertainty ranges) from recreational roads, hillslope surface soils and channel banks were estimated as 64.5% (57.7–73.1), 1.1% (0.1–4.9), and 33.9% 24.9–41.0), compared to 55.3% (45.5–68.5), 1.9% (0.1–7.9)and 42.1% (27.8–52.4) using a composite signature selected using a combination of KW-H and DFA, or 82.0% (69.7–93.8), 8.2% (0.7–22.7) and 7.3% (0.7–21.0) using a fingerprint selected using KW-H and PCCA. The root mean square |
Keywords | Geochemical tracers; Modified MixSIR Bayesian model; Sediment source tracing; Statistical techniques |
Year of Publication | 2019 |
Journal | Journal of Hydrology |
Journal citation | 569 (February), pp. 506-518 |
Digital Object Identifier (DOI) | https://doi.org/10.1016/j.jhydrol.2018.12.019 |
Open access | Published as ‘gold’ (paid) open access |
Funder | Biotechnology and Biological Sciences Research Council |
Funder project or code | S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales |
Publisher's version | |
Output status | Published |
Publication dates | |
Online | 22 Dec 2018 |
Publication process dates | |
Accepted | 19 Dec 2018 |
Publisher | Elsevier Science Bv |
Copyright license | CC BY |
ISSN | 0022-1694 |
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