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Article: Deriving sediment quality guidelines from field-based species sensitivity distributions

TitleDeriving sediment quality guidelines from field-based species sensitivity distributions
Authors
Issue Date2005
PublisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/est
Citation
Environmental Science And Technology, 2005, v. 39 n. 14, p. 5148-5156 How to Cite?
Abstract
The determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with cooccurring concentration data for >25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100 - x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs. © 2005 American Chemical Society.
Persistent Identifierhttp://hdl.handle.net/10722/73166
ISSN
2013 Impact Factor: 5.481
ISI Accession Number ID
References

 

Author Affiliations
  1. Nanjing University
  2. The University of Hong Kong
  3. City University of Hong Kong
  4. Universitetet i Oslo
DC FieldValueLanguage
dc.contributor.authorLeung, KMYen_HK
dc.contributor.authorBjørgesæter, Aen_HK
dc.contributor.authorGray, JSen_HK
dc.contributor.authorLi, WKen_HK
dc.contributor.authorLui, GCSen_HK
dc.contributor.authorWang, Yen_HK
dc.contributor.authorLam, PKSen_HK
dc.date.accessioned2010-09-06T06:48:47Z-
dc.date.available2010-09-06T06:48:47Z-
dc.date.issued2005en_HK
dc.identifier.citationEnvironmental Science And Technology, 2005, v. 39 n. 14, p. 5148-5156en_HK
dc.identifier.issn0013-936Xen_HK
dc.identifier.urihttp://hdl.handle.net/10722/73166-
dc.description.abstractThe determination of predicted no-effect concentrations (PNECs) and sediment quality guidelines (SQGs) of toxic chemicals in marine sediment is extremely important in ecological risk assessment. However, current methods of deriving sediment PNECs or threshold effect levels (TELs) are primarily based on laboratory ecotoxicity bioassays that may not be ecologically and environmentally relevant. This study explores the possibility of utilizing field data of benthic communities and contaminant loadings concurrently measured in sediment samples collected from the Norwegian continental shelf to derive SQGs. This unique dataset contains abundance data for ca. 2200 benthic species measured at over 4200 sampling stations, along with cooccurring concentration data for >25 chemical species. Using barium, cadmium, and total polycyclic aromatic hydrocarbons (PAHs) as examples, this paper describes a novel approach that makes use of the above data set for constructing field-based species sensitivity distributions (f-SSDs). Field-based SQGs are then derived based on the f-SSDs and HCx values [hazardous concentration for x% of species or the (100 - x)% protection level] by the nonparametric bootstrap method. Our results for Cd and total PAHs indicate that there are some discrepancies between the SQGs currently in use in various countries and our field-data-derived SQGs. The field-data-derived criteria appear to be more environmentally relevant and realistic. Here, we suggest that the f-SSDs can be directly used as benchmarks for probabilistic risk assessment, while the field-data-derived SQGs can be used as site-specific guidelines or integrated into current SQGs. © 2005 American Chemical Society.en_HK
dc.languageengen_HK
dc.publisherAmerican Chemical Society. The Journal's web site is located at http://pubs.acs.org/esten_HK
dc.relation.ispartofEnvironmental Science and Technologyen_HK
dc.subject.meshBarium - toxicity-
dc.subject.meshBenchmarking-
dc.subject.meshCadmium - toxicity-
dc.subject.meshGuidelines as Topic-
dc.subject.meshPolycyclic Hydrocarbons, Aromatic - toxicity-
dc.titleDeriving sediment quality guidelines from field-based species sensitivity distributionsen_HK
dc.typeArticleen_HK
dc.identifier.emailLeung, KMY: kmyleung@hku.hken_HK
dc.identifier.emailLi, WK: hrntlwk@hkucc.hku.hken_HK
dc.identifier.emailLui, GCS: csglui@hku.hken_HK
dc.identifier.authorityLeung, KMY=rp00733en_HK
dc.identifier.authorityLi, WK=rp00741en_HK
dc.identifier.authorityLui, GCS=rp00755en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1021/es050450xen_HK
dc.identifier.pmid16082942en_HK
dc.identifier.scopuseid_2-s2.0-22344440177en_HK
dc.identifier.hkuros99026en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-22344440177&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume39en_HK
dc.identifier.issue14en_HK
dc.identifier.spage5148en_HK
dc.identifier.epage5156en_HK
dc.identifier.isiWOS:000230536200010-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridLeung, KMY=7401860738en_HK
dc.identifier.scopusauthoridBjørgesæter, A=8070848700en_HK
dc.identifier.scopusauthoridGray, JS=7404300468en_HK
dc.identifier.scopusauthoridLi, WK=14015971200en_HK
dc.identifier.scopusauthoridLui, GCS=8613288600en_HK
dc.identifier.scopusauthoridWang, Y=7410034683en_HK
dc.identifier.scopusauthoridLam, PKS=7202365776en_HK

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