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

A - Papers appearing in refereed journals

Nosrati, K., Haddadchi, A., Collins, A. L., Jalali, S. and Reza Zare, M. 2018. Tracing sediment sources in a mountainous forest catchment under road construction in northern Iran: comparison of Bayesian and frequentist approaches. Environmental Science and Pollution Research. 25, pp. 30979-30999.

AuthorsNosrati, K., Haddadchi, A., Collins, A. L., Jalali, S. and Reza Zare, M.
Abstract

Development and land use change lead to accelerated soil erosion as a serious environmental problem in river catchments in Iran. Reliable information about the sources of sediment in catchments is therefore necessary to design effective control strategies. This study used a composite sediment source tracing procedure to determine the importance of forest road cuttings as a sediment source in a mountainous catchment located in northern Iran. A fallout radionuclide (137Cs) and 12 geochemical tracers (Ca, Cu, Fe, K, Mg, Mn, Na, Ni, OC, Pb, Sr and TN) were used to determine the relative contributions of three sediment source types
(hillslopes, road cuttings and channel banks) to both suspended and bed sediment samples. Two mixing models based on different mathematical concepts were used to apportion the sediment sources: the mixture sampling importance resampling Bayesian model which incorporates the mass-balance matrix and a distribution model using normal and summed probability of normal distributions. The results of both mixing models indicated that sub-soil erosion from road cuttings and channel banks dominated the sources of river bed and suspended sediment samples, respectively. These results therefore highlight that conservation that works in the study area to remedy the sediment problem should initially focus on stabilisation and rehabilitation of road cuttings and channel banks. This successful application of a composite (radionuclide and geochemical) tracing technique for discriminating source end members characterised by different erosion processes underscores the importance of sub-soil erosion in this case study.

KeywordsSediment tracing; Sub-surface erosion; Geochemical tracers; 137Cs ; MixSIR Bayesian model
Year of Publication2018
JournalEnvironmental Science and Pollution Research
Journal citation25, pp. 30979-30999
Digital Object Identifier (DOI)doi:10.1007/s11356-018-3097-5
Open accessPublished as non-open access
FunderBiotechnology and Biological Sciences Research Council
Funder project or codeS2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales
Output statusPublished
Publication dates
Online04 Sep 2018
Publication process dates
Accepted28 Aug 2018
PublisherSpringer Heidelberg
Copyright licenseCC BY
ISSN0944-1344

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