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      The impacts of natural flood management and urban catchment composition on stormwater quality and in-channel sediment quality

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      GIS spatial dataset (85.75Kb)
      Contains the raw sample data for all sample locations within the study. Heavy metal, particle size distribution and contributing catchment information is provided in this dataset from which, following the methodology presented in the paper, the results can be replicated. (67.12Kb)
      README file explaining the data (975bytes)
      Publication date
      2016-10-11
      Creators
      Grabowski, Robert
      Arthur, Scott
      Metadata
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      Description
      Natural Flood Management (NFM) techniques aim to reduce downstream flooding by storing and slowing the flow of stormwater to river channels. These techniques include a range of measures, including setback stormwater outfalls and the physical restoration of channels and floodplains, to improve the natural functioning of catchments. An additional benefit of NFM measures is the potential reduction in sediment and pollutant delivery to the channel. Urban development releases a variety of heavy metal and nutrient pollutants that enter rivers through stormwater outfalls with adverse effects on the aquatic ecosystem. In this study, the influence of channel modification and quality of the river habitat on the sediment quality surrounding stormwater outfalls was assessed. Sediment samples were taken at several outfalls within the Johnson Creek catchment, Oregon, USA, and analysed for a variety of urban pollutants. The level of river habitat quality and modification at each site were assessed using a semi-quantitative scoring methodology. Significant increases in pollutant levels were observed at outfalls, with a greater and more variable increase at direct compared to setback outfalls. Removal efficiency of certain pollutants was found to be significantly correlated to the level of habitat quality or modification (for Fe, Ba, Sn, Mg, P, K) indicating that more natural reaches had greater potential for pollutant removal. The findings highlight the multiple benefits associated with NFM and river restoration approaches in relation to sediment quality and pollutant content.
      External URI
      • https://rdmc.nottingham.ac.uk/handle/internal/32
      DOI
      • http://doi.org/10.17639/nott.29
      Related publication DOI
      • 10.1002/rra.3068
      Subjects
      • Flood control channels
      • River sediments -- Quality
      • River sediments -- Sampling
      • Johnson Creek (Clackamas County and Multnomah County, Or.)
      • Pollutants -- Control
      • Stormwater pollution, heavy metal concentration, land use, green space, zoned catchment analysis, catchment composition, natural flood management, river restoration
      • JACS Subjects::Engineering::Civil engineering::Environmental engineering
      • Library of Congress Subject Areas::G Geography. Anthropology. Recreation::GE Environmental Sciences
      Divisions
      • Faculties, Schools and Departments::University of Nottingham, UK Campus::Faculty of Social Sciences::School of Geography
      Deposit date
      2016-10-12
      Data type
      Physical sample analytical results (excel files), GIS spatial dataset (shapefiles)
      Contributors
      • Allen, D.
      • Haynes, H.
      • Mant, J.
      • Terrell, R.
      • Morse, J.
      • Yeakley, A.
      • Janes, V.
      Funders
      • Funders::Engineering & Physical Sciences Research Council
      Grant number
      • EP/K013661/1
      Parent project
      • Blue-Green Cities Research Project
      • Clean Water for All
      • Portland-Vancouver ULTRA (Urban Long-term Research Area) project
      Collection dates
      • May 2014-July 2014
      Coverage
      • Johnson Creek, Portland, Oregon USA
      • May 2014-July 2014
      • 45°26′51″N 122°17′18″W to 45°26′39″N 122°38′36″W
      Data collection method
      Detailed method is presented in the associated research paper. In summary, physical sediment sample collection from stormwater outfalls were processed for heavy metal and particle size distribution analysis.
      Resource languages
      • en
      Copyright
      • Heriot-Watt University
      • Cranfield University
      Publisher
      The University of Nottingham

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