Grey Correlation Model Based on Diatom Indices Evaluating Water Quality of Longjiang River

Article Preview

Abstract:

In order to evaluate the water quality of Longjiang river comprehensively, diatoms of 15 sampling sites are collected to establish the Grey Relational Model based on three diatom indexesIPS, IBD and IDG. From the Cluster analysis of sampling sites and the box plot of diatom index, IBD is the best, then the IPS, the diatom index weights on water quality assessment are 0.637 for IBD, 0.2583 for IPS, 0.1074 for IDG respectively. Finally, by comparing the water quality standard level based on Grey Relational Model, it can be known that the water quality of most sampling sites is fine except that site No.1 and No.3 belong to III water quality standard. The result shows that it is more comprehensive and reasonable to use the Grey Relational Model based on diatom index rather than individual diatom index to assess water quality.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

43-47

Citation:

Online since:

October 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2014 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] Coste M, Boutry S, Tison-Rosebery J, et al. Improvements of the Biological Diatom Index (BDI): Description and efficiency of the new version (BDI-2006). Ecological Indicators, 2009, 9: 621-650.

DOI: 10.1016/j.ecolind.2008.06.003

Google Scholar

[2] Cemagref. Etude des methods biologiques d'appréciation quantitative de la qualité des eaux[R]. Rapport Q. E. Lyon. Lyon: Agence de l'eau Rhône-Méditerranée-Corse-Cemagref, (1982).

Google Scholar

[3] Coste M, Ayphassorho H. Étude de la qualitédes eaux du Bassin Artois-Picardie àl'aide des communautés de diatomées benthiques (application des indices diatomiques) [R]. Rapport Cemagref. Douai: Bordeaux-Agence de l'Eau Artois-Picardie, (1991).

DOI: 10.1051/limn/1993021

Google Scholar

[4] Deng P Y, Lei Y D, Liu W, Wang X T. Exploration of benthic diatom indices to evaluate water quality in rivers in the Dongjiang basin. Acta Ecologica Sinica, 2012, 32( 16) : 5014-5024.

DOI: 10.5846/stxb201112071867

Google Scholar

[5] EN 13946. Water quality-Guidance standard for the routine sampling and pretreatment of benthic diatoms from rivers (2003).

DOI: 10.3403/02869298

Google Scholar

[6] EN 14407. Water quality-Guidance standard for the identification, enumeration and interpretation of benthic diatom samples from running waters (2005).

DOI: 10.3403/03096075

Google Scholar

[7] Krammer K, Lange-Bertalot H. Bacillariophyceae. Berlin: Spektrum Akademischer Verlag GmbH Heidelberg (2000).

Google Scholar

[8] Zelinka M, Marvan P. Zur Präzisierung der biologischen Klassifikation des Reinheit fliessender Gewässer. Archiv für Hydrobiologie (1961).

Google Scholar

[9] Coste, Boutry S, Tison-Rosebery J, Delmas F. Improvements of the Biological Diatom Index(BDI): Description and efficiency of the new version ( BDI-2006). Ecological Indicators(2009).

DOI: 10.1016/j.ecolind.2008.06.003

Google Scholar

[10] Kelly M G. Use of the trophic diatom index to monitor eutrophication in rivers. Water Research (1998).

DOI: 10.1016/s0043-1354(97)00157-7

Google Scholar

[11] Kelly M G, Adams C, Graves A C, Jamieson J, Krokowski J, Lycett E B, Murray-Bligh J, Pritchard S, Wilkins C. The Trophic Diatom Index: A User's Manual, Revised ed. Bristol: Environment Agency (2001).

Google Scholar

[12] Asconit Consultants. AFNOR NF T90-354, Determination de l'index poissons rivière (IPR). Lyon: Agence de ľEau Rhŏne (2000).

Google Scholar