摘要
Three different aquatic ecosystems ( an urban pond, Kelana Jaya Pond; a polluted river, Sepang River;and the intertidal and offshore areas of the west coast of Peninsular Malaysia) with different sets of ecological back-grounds and human activities were reviewed and assessed for the levels of Cu and Zn contamination with special referenceto those found in polluted sediments collected from the Sepang River. The discussion on the contamination levels of Cuand Zn in the aquatic environment of Peninsular Malaysia was based on a comparison of the metal contamination of 4kinds of aquatic environments. The comparison of 4 different areas was based on① total concentrations of 2 metals;② the concentrations and percentages of the nonresistant ( EFLE, acid - reducible and oxidisable - organic) and resist-ant geochemical fractions; and③ correlation coefficients (R - values) based on data of 4 areas separately and a combi- 'nation of 4 areas. The Sepang River recorded nonresistant fractions of 63. 1% for Zn and 55. 8% for Cu in addition toslightly lower metal concentrations when compared to those ( 60% - 70070 ) reported before the shutting down of the pig-gery activities in that area. These nonresistant metal percentages (55% - 63% ) indicated that the metal concentrationswere still dominated by nthropogenic sources smce nonresistant fraction of metals were mostly contributed by anthropo-genic sources. The positive results from the four different aquatic nvironments assessed here provided strong evidence toshow that Malaysia' s aquatic environment had received anthropogenic Cu and Zn. The present study also showed that thepercentage of the nonresistant fraction and the R - values based on correlation analysis of Cu and Zn could be used as in-dicators of Cu and Zn pollution in the Malaysian aquatic ecosystem. Based on the present data, the correlation coeffi-cients (R - values) are potential indicators of EFLE Cu and acid - reducible Cu of the sediments. The use of R - valuesas indicators of metal pollution is suggested and it is applicable to other heavy metal data although it should be improvedin future studies.