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This article in JEQ

  1. Vol. 40 No. 5, p. 1488-1502
     
    Received: Sept 28, 2010
    Published: Sept, 2011


    * Corresponding author(s): sti@life.ku.dk
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doi:10.2134/jeq2010.0420

A Minimum Data Set of Water Quality Parameters to Assess and Compare Treatment Efficiency of Stormwater Facilities

  1. Simon Toft Ingvertsen *a,
  2. Marina Bergen Jensenb and
  3. Jakob Magida
  1. a Dep. of Agriculture and Ecology, Faculty of Life Sciences, Univ. of Copenhagen, Thorvaldsensvej 40, 1871 Frederiksberg C, Denmark
    b Center for Forest and Landscape, Faculty of Life Sciences, Univ. of Copenhagen, Rolighedsvej 23, 1958 Frederiksberg C, Denmark. Assigned to Associate Editor K.G. Karthikeyan

Abstract

Urban stormwater runoff is often of poor quality, impacting aquatic ecosystems and limiting the use of stormwater runoff for recreational purposes. Several stormwater treatment facilities (STFs) are in operation or at the pilot testing stage, but their efficiencies are neither well documented nor easily compared due to the complex contaminant profile of stormwater and the highly variable runoff hydrograph. On the basis of a review of available data sets on urban stormwater quality and environmental contaminant behavior, we suggest a few carefully selected contaminant parameters (the minimum data set) to be obligatory when assessing and comparing the efficiency of STFs. Consistent use of the minimum data set in all future monitoring schemes for STFs will ensure broad-spectrum testing at low costs and strengthen comparability among facilities. The proposed minimum data set includes: (i) fine fraction of suspended solids (<63 μm), (ii) total concentrations of zinc and copper, (iii) total concentrations of phenanthrene, fluoranthene, and benzo(b,k)fluoranthene, and (iv) total concentrations of phosphorus and nitrogen. Indicator pathogens and other specific contaminants (i.e., chromium, pesticides, phenols) may be added if recreational or certain catchment-scale objectives are to be met. Issues that need further investigation have been identified during the iterative process of developing the minimum data set.

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Copyright © 2011. Copyright © by the American Society of Agronomy, Crop Science Society of America, and Soil Science Society of America, Inc.