Literature DB >> 17711217

Use of field data to support European Water Framework Directive quality standards for dissolved metals.

Mark Crane1, Kevin W H Kwok, Claire Wells, Paul Whitehouse, Gilbert C S Lui.   

Abstract

Quality standards (QS) for dissolved metals in freshwaters have been proposed underthe European Water Framework Directive (WFD) and are based mainly upon laboratory ecotoxicity data. Uncertainties remain about laboratory-to-field extrapolation to establish QS that are neither over- nor underprotective. Freshwater benthic macroinvertebrates are a group of organisms of known sensitivity to heavy metals. We analyzed a dataset from England and Wales of dissolved metal concentrations (cadmium, chromium, copper, iron, nickel, lead, and zinc) and associated benthic invertebrate community metrics, using piecewise regression, quantile regression, and information on metal concentrations consistent with good quality status. Analysis of these field data suggests that dissolved metal QS proposed under the WFD are similar to metal concentrations in rivers associated with unimpaired benthic invertebrate assemblages in England and Wales. The only exceptions to this are QS for iron and zinc, where use of relatively large assessment factors leads to standards that are substantially below concentrations associated with impaired invertebrate assemblages in the field.

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Year:  2007        PMID: 17711217     DOI: 10.1021/es0629460

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  9 in total

1.  Community perception of water quality in a mining-affected area: a case study for the Certej catchment in the Apuseni Mountains in Romania.

Authors:  Diana Dogaru; Jürg Zobrist; Dan Balteanu; Claudia Popescu; Mihaela Sima; Manouchehr Amini; Hong Yang
Journal:  Environ Manage       Date:  2009-01-29       Impact factor: 3.266

2.  Deriving field-based sediment quality guidelines from the relationship between species density and contaminant level using a novel nonparametric empirical Bayesian approach.

Authors:  Gilbert C S Lui; W K Li; Anders Bjørgesæter; Kenneth M Y Leung
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-15       Impact factor: 4.223

3.  Water quality guidelines for chemicals: learning lessons to deliver meaningful environmental metrics.

Authors:  Graham Merrington; Youn-Joo An; Eric P M Grist; Seung-Woo Jeong; Chuthamat Rattikansukha; Susan Roe; Uwe Schneider; Suthipong Sthiannopkao; Glenn W Suter; Rick Van Dam; Patrick Van Sprang; Ju-Ying Wang; Michael St J Warne; Paul T Yillia; Xiao-Wei Zhang; Kenneth M Y Leung
Journal:  Environ Sci Pollut Res Int       Date:  2013-04-26       Impact factor: 4.223

4.  Water quality of medium size watercourse under baseflow conditions: the case study of river Sutla in Croatia.

Authors:  Zrinka Dragun; Damir Kapetanović; Biserka Raspor; Emin Teskeredzić
Journal:  Ambio       Date:  2011-06       Impact factor: 5.129

5.  Assessment of the effects of nickel on benthic macroinvertebrates in the field.

Authors:  Adam Peters; Peter Simpson; Graham Merrington; Chris Schlekat; Emily Rogevich-Garman
Journal:  Environ Sci Pollut Res Int       Date:  2013-06-09       Impact factor: 4.223

6.  Preliminary assessment of total dissolved trace metal concentrations in Sava River water.

Authors:  Zrinka Dragun; Vibor Roje; Nevenka Mikac; Biserka Raspor
Journal:  Environ Monit Assess       Date:  2008-11-08       Impact factor: 2.513

7.  Environmental and socioeconomic assessment of impacts by mining activities-a case study in the Certej River catchment, Western Carpathians, Romania.

Authors:  Jürg Zobrist; Mihaela Sima; Diana Dogaru; Marin Senila; Hong Yang; Claudia Popescu; Cecilia Roman; Abraham Bela; Linda Frei; Bernhard Dold; Dan Balteanu
Journal:  Environ Sci Pollut Res Int       Date:  2009-01-22       Impact factor: 4.223

8.  Metal Water-Sediment Interactions and Impacts on an Urban Ecosystem.

Authors:  Lian Lundy; Luciana Alves; Michael Revitt; Dirk Wildeboer
Journal:  Int J Environ Res Public Health       Date:  2017-07-05       Impact factor: 3.390

9.  What do we want to estimate from observational datasets? Choosing appropriate statistical analysis methods based on the chemical management phase.

Authors:  Kazutaka M Takeshita; Takehiko I Hayashi; Hiroyuki Yokomizo
Journal:  Integr Environ Assess Manag       Date:  2022-01-12       Impact factor: 3.084

  9 in total

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