Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management

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Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management. / Perks, Matt; Warburton, Jeff; Bracken, Louise; Reaney, Sim; Emery, Steven; Hirst, Simon.

In: Journal of Environmental Management, Vol. 202, Part 2, 01.11.2017, p. 469-478.

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@article{56614b8bd5ad49daa9ec97a94b49dbea,
title = "Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management",
abstract = "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 (SST). In this study of the 362 km2 upland Esk catchment we observe that spatial patterns of sediment flux are consistent over the two year monitoring period across a network of 17 monitoring sites. This enables the key contributing sub-catchments of Butter Beck (SST: 1141 t km2 yr−1) and Glaisdale Beck (SST: 841 t km2 yr−1) to be identified. 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.",
keywords = "fine sediment, catchment management, environmental quality, passive sampling",
author = "Matt Perks and Jeff Warburton and Louise Bracken and Sim Reaney and Steven Emery and Simon Hirst",
year = "2017",
month = nov,
day = "1",
doi = "10.1016/j.jenvman.2017.01.045",
language = "English",
volume = "202, Part 2",
pages = "469--478",
journal = "Journal of Environmental Management",
issn = "0301-4797",
publisher = "Elsevier",

}

RIS

TY - JOUR

T1 - Use of spatially distributed time-integrated sediment sampling networks and distributed fine sediment modelling to inform catchment management

AU - Perks, Matt

AU - Warburton, Jeff

AU - Bracken, Louise

AU - Reaney, Sim

AU - Emery, Steven

AU - Hirst, Simon

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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 (SST). In this study of the 362 km2 upland Esk catchment we observe that spatial patterns of sediment flux are consistent over the two year monitoring period across a network of 17 monitoring sites. This enables the key contributing sub-catchments of Butter Beck (SST: 1141 t km2 yr−1) and Glaisdale Beck (SST: 841 t km2 yr−1) to be identified. 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.

AB - 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 (SST). In this study of the 362 km2 upland Esk catchment we observe that spatial patterns of sediment flux are consistent over the two year monitoring period across a network of 17 monitoring sites. This enables the key contributing sub-catchments of Butter Beck (SST: 1141 t km2 yr−1) and Glaisdale Beck (SST: 841 t km2 yr−1) to be identified. 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.

KW - fine sediment

KW - catchment management

KW - environmental quality

KW - passive sampling

UR - http://dro.dur.ac.uk/22855/

U2 - 10.1016/j.jenvman.2017.01.045

DO - 10.1016/j.jenvman.2017.01.045

M3 - Article

VL - 202, Part 2

SP - 469

EP - 478

JO - Journal of Environmental Management

JF - Journal of Environmental Management

SN - 0301-4797

ER -