Innovative 'Artificial Mussels' technology for assessing spatial and temporal distribution of metals in Goulburn-Murray catchments waterways, Victoria, Australia: effects of climate variability (dry vs. wet years)

Environ Int. 2012 Dec 1:50:38-46. doi: 10.1016/j.envint.2012.09.006. Epub 2012 Oct 13.

Abstract

The "Artificial mussel" (AM), a novel passive sampling technology, was used for the first time in Australia in freshwater to monitor and assess the risk of trace metals (Cd, Cu, Hg, Pb, and Zn). AMs were deployed at 10 sites within the Goulburn-Murray Water catchments, Victoria, Australia during a dry year (2009-2010) and a wet year (2010-2011). Our results showed that the AMs accumulated all the five metals. Cd, Pb, Hg were detected during the wet year but below detection limits during the dry year. At some sites close to orchards, vine yards and farming areas, elevated levels of Cu were clearly evident during the dry year, while elevated levels of Zn were found during the wet year; the Cu indicates localized inputs from the agricultural application of copper fungicide. The impacts from old mines were significantly less compared 'hot spots'. Our study demonstrated that climate variability (dry, wet years) can influence the metal inputs to waterways via different transport pathways. Using the AMs, we were able to identify various 'hot spots' of heavy metals, which may pose a potential risk to aquatic ecosystems (sub-lethal effects to fish) and public (via food chain metal bioaccumulation and biomagnification) in the Goulburn-Murray Water catchments. The State Protection Policy exempted artificial channels and drains from protection of beneficial use (including protection of aquatic ecosystems) and majority of sites ('hot spots') were located within artificial irrigation channels.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Climate
  • Environmental Monitoring / instrumentation
  • Environmental Monitoring / methods*
  • Fresh Water / chemistry*
  • Metals, Heavy / analysis*
  • Mining
  • Spatio-Temporal Analysis
  • Victoria
  • Water Pollutants, Chemical / analysis*
  • Water Pollution, Chemical / statistics & numerical data

Substances

  • Metals, Heavy
  • Water Pollutants, Chemical