Premium
Deriving site‐specific sediment quality guidelines for Hong Kong marine environments using field‐based species sensitivity distributions
Author(s) -
Kwok Kevin W. H.,
Bjorgesæter Anders,
Leung Kenneth M. Y.,
Lui Gilbert CS,
Gray John S.,
Shin Paul K. S.,
Lam Paul K. S.
Publication year - 2008
Publication title -
environmental toxicology and chemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.1
H-Index - 171
eISSN - 1552-8618
pISSN - 0730-7268
DOI - 10.1897/07-078.1
Subject(s) - sediment , environmental science , benthic zone , sampling (signal processing) , abundance (ecology) , environmental engineering , environmental chemistry , oceanography , geology , ecology , computer science , chemistry , biology , paleontology , filter (signal processing) , computer vision
Field data of benthic communities and contaminant loadings in marine sediments measured in parallel can be used to derive sediment quality guidelines (SQGs) using a field‐based species sensitivity distribution (f‐SSD) approach. Recently, SQGs have been successfully derived from f‐SSDs for the Norwegian continental shelf with an extensive survey (>1 million km 2 ) and a large data set (1,902 sampling stations with 1,944 species). The present study examined the practicality of this approach in deriving SQGs for a much smaller geographical area, namely, the marine environment of Hong Kong (sea area: 1,651 km2), making use of databases of the government of Hong Kong special administrative region. As the construction of f‐SSDs requires the use of a collection of responses from individual species to a chemical gradient in sediment, data screening criteria on the minimum abundance of the species were evaluated and optimized to ensure sufficient statistical power for estimating these responses. Sediment quality guidelines were derived for nine trace metals, total polycyclic aromatic hydrocarbons, and total polychlorinated biphenyls and compared with current SQGs in developed countries. The community‐adjusted hazardous concentrations of 5% and 10% of the f‐SSDs were adopted to represent the threshold effects level (TEL) and predicted effects level (PEL), respectively. The TELs derived from this f‐SSD approach compares favorably with current SQGs, while the derived PELs were generally lower than the current SQGs, indicating that they are more protective. The f‐SSDs can be directly utilized for probabilistic risk assessment, while the field‐based SQGs can be used as site‐specific guidelines or integrated into current SQGs. Our results suggest that the f‐SSD approach can also be applicable to small areas such as Hong Kong.