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Article type: Research Article
Authors: Descy, J.-P.1 | Micha, J.-C.2
Note: [1] Dr. J.-P. Descy has a Ph.D. in Botany of the University of Liège, Belgium, where he has been working as a researcher on water pollution problems and the use of algae as water quality indicators, from 1971 to 1986. He his now teaching Botany and freshwater ecology at the University of Namur, Belgium, and develops research in plant ecology and functioning of freshwater ecosystems, within the Unit of Fresh-water Ecology, led by Prof. J.-C. Micha.
Note: [2] Prof. H.-C. Micha has a Ph.D. in Zoology (1973) of the University of Liège, Belgium, where he has been working as a researcher from 1967 to 1975, on water pollution problems, the use of macroinvertebrates as water quality indicators and the impact of pollution of fish and fisheries. He is now teaching zoology, freshwater ecology and pisciculture at the Universities of Namur and Louvain-la-Neuve, Belgium. He develops research in animal (mainly fish) ecology, fisheries and fish culture.
Abstract: Biological monitoring can be used in studying the complex phenomenon of water pollution. The study of aquatic living organisms for the purpose of studying water quality was born at the beginning of the century with the development of the saprobity system by Kolkwitz and Marsson. Other systems of biological assessment of water quality have been developed since. Features of the composition and structure of diatom taxa colonizing the bottom of water bodies, or of fauna macroinvertebrates in rivers can be turned into numeric biotic indices. Such methods of water quality assessment have been successfully and repeatedly applied to Belgian and other European rivers. The experience shows that biomonitoring based on living aquatic communities can complement direct analysis of water contaminants for the purposes of global water quality assessment of the water body concerned, of detecting forms of pollution that cannot be usually found in direct analysis, and of integrating water quality over variable time spans, which depend on the length of the life cycle of the bioindicators involved.
DOI: 10.3233/SJU-1988-5305
Journal: Statistical Journal of the United Nations Economic Commission for Europe, vol. 5, no. 3, pp. 249-261, 1988
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