Journal
CATENA
Volume 202, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.catena.2021.105208
Keywords
Sediment fingerprinting; Catchment management; Near-infrared; Mid-infrared; Colour; Bayesian modelling
Funding
- Brazilian Government, MEC/MCTI/CAPES [PDSE-20187604752]
- UKRI-BBSRC (UK Research and Innovation - Biotechnology and Biological Sciences Research Council)
- Environment Agency Catchment Sensitive Farming initiative grant [19936]
- [BBS/E/C/000I0330]
- BBSRC [BBS/E/C/000I0330] Funding Source: UKRI
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Identifying key sources of sediment in an agricultural catchment in Brazil is crucial for soil and water quality protection. Through low-cost analytical procedures, the study found that channel banks are the primary source of sediment in the area, highlighting the need for targeted protection efforts.
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 (similar to 1453 km(2)) and catchment-wide (similar to 2857 km(2)). 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.
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