Sediment source apportionment using optical property composite signatures in a rural catchment, Brazil

A - Papers appearing in refereed journals

Amorim, F. F., Da Silva, Y. J. A. B., Nascimento, R. C., Tiecher, T., Do Nascimento, C. W. A., Minella, J. P. G., Zhang, Y., Upadhayay, H., Pulley, S. and Collins, A. L. 2021. Sediment source apportionment using optical property composite signatures in a rural catchment, Brazil. Catena. 202 (article), p. 105208. https://doi.org/10.1016/j.catena.2021.105208

AuthorsAmorim, F. F., Da Silva, Y. J. A. B., Nascimento, R. C., Tiecher, T., Do Nascimento, C. W. A., Minella, J. P. G., Zhang, Y., Upadhayay, H., Pulley, S. and Collins, A. L.
Abstract

Identifying the key sources of fine-grained sediment is essential for protecting and improving soil and water quality. Accordingly, this contribution tested a combination of low-cost analytical procedures for assembling information on key sediment sources in an agricultural catchment in Brazil and in so doing, tested 24 components derived from a conventional printer scanner using various colourimetric models, 18 organic compounds derived from near-infrared (NIR) spectra and 13 soil constituents derived from mid-infrared (MIR) spectra. In combining the application of these low-cost tracers, the study also aimed to investigate potential scale dependency in sediment sources. Four main sediment sources were sampled: (i) sugarcane; (ii) unpaved roads; (iii) cropland, and; (iv) channel banks and samples were collected from these at two different scales; subcatchment (~1453 km2) and catchment-wide (~2857 km2). At both scales, channel banks were the most important sediment source followed by sugarcane. At catchment-wide scale, channel banks accounted for 75.9 ± 6.7%, 56.4 ± 16.3%, 39.1 ± 20.7% and 68.3 ± 4.9% of sampled suspended sediment using composite signatures comprising NIR, MIR or colour tracers only, or a combination of all three types of low-cost tracers, respectively. For bed sediment samples, the corresponding respective source contributions were estimated to be 43.4 ± 4.7%, 32.8 ± 7.8%, 49.2 ± 18.6% and 32.0 ± 4.6%. Our results, regardless of optical property, target sediment type, or scale, suggest that channel banks represent the primary source of the sediment problem in the study area. Targeted remedial actions therefore especially need to deliver protection for eroding channel banks.

KeywordsSediment fingerprinting ; Catchment management ; Near-infrared ; Mid-infrared ; Colour ; Bayesian modelling
Year of Publication2021
JournalCatena
Journal citation202 (article), p. 105208
Digital Object Identifier (DOI)https://doi.org/10.1016/j.catena.2021.105208
Web address (URL)https://doi.org/10.1016/j.catena.2021.105208
Open accessPublished as non-open access
FunderCAPES ‘Science Without Borders’ Brazil
Biotechnology and Biological Sciences Research Council
Funder project or codePDSE-20187604752
S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales
Output statusPublished
Publication dates
Online26 Feb 2021
Publication process dates
Accepted24 Jan 2021
PublisherElsevier Science Bv
ISSN0341-8162

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