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Volumn 35, Issue 18, 2001, Pages 4285-4292

A reappraisal of saprobic values and indicator weights based on Slovenian river quality data

Author keywords

Biology; Classification; Monitoring; Pollution; Quality; River; Saprobic system

Indexed keywords

DATA REDUCTION; ECOLOGY; WATER QUALITY;

EID: 0034769060     PISSN: 00431354     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0043-1354(01)00162-2     Document Type: Article
Times cited : (26)

References (18)
  • 1
    • 0002800874 scopus 로고    scopus 로고
    • De Pauw N. and Hawkes H. A. (1993) Biological monitoring of river water quality. Proceedings of Freshwater Europe Symposium on River Water Quality Monitoring and Control, Aston University, Birmingham, pp. 87-111.
  • 2
    • 0002752456 scopus 로고    scopus 로고
    • DIN 38410-2 (1990) Deutsche Einheitsverfahren zur Wasser-, Abwasser- und Schlammuntersuchung; Biologisch-ökologische Gewässeruntersuchung (Gruppe M); Bestimmung des Saprobienindex (M 2). DIN/Beuth Verlag, Berlin.
  • 3
    • 0002762383 scopus 로고    scopus 로고
    • Džeroski S., Demšar D., Grbović J. and Walley W. J. (1997a) Learning to infer chemical parameters of river water quality from bioindicator data. Proceedings of the sixth Electrotechnical and Computer Science Conference, Vol. B, pp. 129-132. Slovenia Section IEEE, Ljubljana, Slovenia.
  • 4
    • 0002879723 scopus 로고    scopus 로고
    • Džeroski S., Grbović J., Walley W. J. and Demšar D. (1997b) A computer-based reappraisal of bioindicator zone preferences and weights within the saprobic index using data from river quality surveys in Slovenia. Proceedings of the fourth International Conference on Water Pollution, pp. 331-340. Computational Mechanics Publications, Southampton.
  • 6
    • 25744454938 scopus 로고    scopus 로고
    • Machine learning applications in biological classification of river water quality
    • Michalski R.S., Bratko I., Kubat M. (Eds.), Machine Learning, Data Mining and Knowledge Discovery: Methods and Applications, Chichester: Wiley
    • (1998) , pp. 429-448
    • Džeroski, S.1    Grbović, J.2    Walley, W.J.3
  • 7
    • 0002750119 scopus 로고    scopus 로고
    • European Union (2000) Directive of the European Parliament and of the Council (2000/60/EC) Establishing a Framework for Community Action in the Field of Water Policy, Luxembourg, 23 October.
  • 8
    • 0002752458 scopus 로고    scopus 로고
    • Grbović J. (1994) Applicability of various procedures for the assessment of quality of torrential Streams. Ph.D. Thesis. Biotechnical Faculty, University of Ljubljana, Slovenia (in Slovenian).
  • 9
    • 0002871031 scopus 로고    scopus 로고
    • ISO 7828 (E) (1985) Water quality: methods of biological sampling: guidance on handnet sampling of aquatic benthic macro-invertebrates. International Standards Organisation.
  • 10
    • 0002813996 scopus 로고    scopus 로고
    • Moog O., ed. (1995) Fauna Aquatica Austriaca. Wasserwirtschaftkataster, Bundesministerium fur Land und Forstwirtschaft, Vienna.
  • 12
    • 0002736687 scopus 로고    scopus 로고
    • Walley W. J. and Džeroski S. (1995) Biological monitoring: a comparison between Bayesian, neural and machine learning methods of water quality classification. In: Proceedings of the International Symposium on Environmental Software Systems, IFIP Conference Series, eds R. Denzer, G. Schimak and D. Russell. Chapman & Hall, London.
  • 13
    • 0032030554 scopus 로고    scopus 로고
    • Neural network predictors of average score per taxon and number of families at unpolluted river sites in Great Britain
    • (1998) Water Res. , vol.32 , Issue.3 , pp. 613-622
    • Walley, W.J.1    Fontama, V.N.2
  • 14
    • 0002762385 scopus 로고    scopus 로고
    • Walley W. J. and Fontama V. N. (2000) New approaches to river quality classification based upon artificial intelligence. In Assessing the Biological Quality of Fresh Waters: RIVPACS and Other Techniques, eds M. T. Furse and J. F. Wright. Freshwater Biological Association, Ambleside, UK.
  • 16
    • 0030222704 scopus 로고    scopus 로고
    • A computer-based reappraisal of Biological Monitoring Working Party scores using data from the 1990 River Quality Survey of England and Wales
    • (1996) Water Res. , vol.30 , Issue.9 , pp. 2086-2094
    • Walley, W.J.1    Hawkes, H.A.2
  • 17
    • 0030617335 scopus 로고    scopus 로고
    • A computer-based development of the Biological Monitoring Working Party score system incorporating abundance rating, site type and indicator value
    • (1997) Water Res. , vol.31 , Issue.2 , pp. 201-210
    • Walley, W.J.1    Hawkes, H.A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.