River Esk distributed fine sediment fluxes

Fuente: PANGAEA
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Auteurs principaux: Perks, Matthew T, Warburton, Jeff
Format: Dataset Open Access
Langue:en
Publié: PANGAEA 2016
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author Perks, Matthew T
Warburton, Jeff
author_facet Perks, Matthew T
Warburton, Jeff
collection Datos científicos de ciencias marinas y ambientales
contents 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 km**2 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/km**2/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.
format Dataset Open Access
id pangaea_https___doi_org_10_1594_PANGAEA_867534
institution PANGAEA
language en
publishDate 2016
publisher PANGAEA
record_format pangaea
spellingShingle River Esk distributed fine sediment fluxes
Perks, Matthew T
Warburton, Jeff

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 km**2 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/km**2/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.
title River Esk distributed fine sediment fluxes
topic
url https://doi.org/10.1594/PANGAEA.867534