River Esk distributed fine sediment fluxes

Under the EU Water Framework Directive, suspended sediment is omitted from environmental quality standards and compliance targets. This omission is partly explained by difficulties in assessing the complex dose-response of ecological communities. But equally, it is hindered by a lack of spatially distributed estimates of suspended sediment variability across catchments. In this paper, we demonstrate the inability of traditional, discrete sampling campaigns for assessing exposure to fine sediment. Sampling frequencies based on Environmental Quality Standard protocols, whilst reflecting typical manual sampling constraints, are unable to determine the magnitude of sediment exposure with an acceptable level of precision. Deviations from actual concentrations range between -35 and +20% based on the interquartile range of simulations. As an alternative, we assess the value of low-cost, suspended sediment sampling networks for quantifying suspended sediment transfer. In this study of the 362 km2 upland Esk catchment we observe spatial patterns of sediment flux are consistent over the two year monitoring period, highlighting key contributing sub-catchments (e.g. Butter Beck - 1141 t/km2/yr and Glaisdale Beck - 841 t/km**2/yr). The time-integrated samplers offer a feasible alternative to traditional infrequent and discrete sampling approaches for assessing spatio-temporal changes in contamination. In conjunction with a spatially distributed diffuse pollution model (SCIMAP), time-integrated sediment sampling is an effective means of identifying critical sediment source areas in the catchment, which can better inform sediment management strategies for pollution prevention and control.

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Cite this as

Perks, Matthew T, Warburton, Jeff (2016). Dataset: River Esk distributed fine sediment fluxes. https://doi.org/10.1594/PANGAEA.867534

DOI retrieved: 2016

Additional Info

Field Value
Imported on November 30, 2024
Last update November 30, 2024
License CC-BY-3.0
Source https://doi.org/10.1594/PANGAEA.867534
Author Perks, Matthew T
Given Name Matthew T
Family Name Perks
More Authors
Warburton, Jeff
Source Creation 2016
Publication Year 2016
Resource Type application/zip - filename: Perls_2016
Subject Areas
Name: Ecology

Related Identifiers
Title: Use of spatially distributed time integrated sediment sampling networks and distributed fine sediment modeling to inform catchment management
Identifier: https://doi.org/10.1016/j.jenvman.2017.01.045
Type: DOI
Relation: References
Year: 2017
Source: Journal of Environmental Management
Authors: Perks Matthew T , Warburton Jeff , Bracken Louise , Reaney Sim M , Emery Steven B , Hirst Simon .