Weighted species sensitivity distribution method to derive site-specific quality criteria for copper in Tai Lake, China

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

15 Scopus Citations
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Author(s)

  • Hongling Liu
  • John P. Giesy
  • Hongxia Yu

Detail(s)

Original languageEnglish
Pages (from-to)12968-12978
Journal / PublicationEnvironmental Science and Pollution Research
Volume21
Issue number22
Publication statusPublished - 2014

Abstract

Tai Lake (Ch: Taihu), which is the largest lake in Jiangsu province, China, has been affected by human activities. As part of a concerted effort to improve water quality to protect the integrity of the Tai Lake ecosystem, a water quality criterion (WQC) was developed for copper (Cu) II. The acute WQC was based on 440 values for acute toxicity of Cu to 24 species from 6 phyla, 16 families, and 20 genera. In addition, 255 values for chronic toxicity of Cu to 10 species from 5 phyla, 8 families, and 9 genera were used to derive chronic WQC. Instead of using a traditional approach based species sensitivity distributions (SSD), a weighted species sensitivity distribution (WSSD) approach was used to calculate the cumulative probability based on endemic species to Tai Lake. Acute and chronic WQC developed by use of the WSSD were 5.3 and 3.7 μg Cu/L, respectively. While the WQC values were comparable to those of other countries, there were slight differences due to variability in species composition of different regions. The site-specific criteria indicated that the current standard set for surface water by the Chinese government might not be protective of aquatic organisms in Tai Lake.

Research Area(s)

  • Asia, Model, Probabilistic, Statistics, Weighted species sensitivity distributions

Citation Format(s)

Weighted species sensitivity distribution method to derive site-specific quality criteria for copper in Tai Lake, China. / Shi, Rui; Yang, Chunhui; Su, Runhua et al.
In: Environmental Science and Pollution Research, Vol. 21, No. 22, 2014, p. 12968-12978.

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review