Issue 12, 2012
From the journal:

Journal of Environmental Monitoring

Coupling geostatistical approaches with PCA and fuzzy optimal model (FOM) for the integrated assessment of sampling locations of water quality monitoring networks (WQMNs)

Chunping Ou,*a   André St-Hilaire,*ab   Taha B. M. J. Ouarda,ac   F. Malcolm Conly,d   Nicole Armstrong,e   Bahaa Khalila  and  Sandra Proulx-McInnisa  

* Corresponding authors

a Institut National de la Recherche Scientifique, Centre Eau, Terre et Environnement (INRS-ETE), University of Québec, Québec City, Québec, Canada
E-mail: chunping.ou@gmail.com
Tel: +1 (418) 478-8958

b Canadian Rivers Institute, University of New Brunswick, Fredericton, New Brunswick, Canada
E-mail: andre.st-hilaire@ete.inrs.ca
Tel: +1 (418) 654-3113

c Masdar Institute of Science and Technology, PO Box 54224, Abu Dhabi, United Arab Emirates

d Environment Canada, Saskatoon, Saskatchewan, Canada

e Manitoba Watershed Stewardship, Winnipeg, Manitoba, Canada

Abstract

The assessment of the adequacy of sampling locations is an important aspect in the validation of an effective and efficient water quality monitoring network. Two geostatistical approaches (e.g., kriging and Moran's I) are presented to assess multiple sampling locations. A flexible and comprehensive framework was developed for the selection of multiple sampling locations of multiple variables which was accomplished by coupling geostatistical approaches with principal component analysis (PCA) and fuzzy optimal model (FOM). The FOM was used in the integrated assessment of both multiple principal components and multiple geostatistical approaches. These integrated methods were successfully applied to the assessment of two independent water quality monitoring networks (WQMNs) of Lake Winnipeg, Canada, which respectively included 14 and 30 stations from 2006 to 2010.

Graphical abstract: Coupling geostatistical approaches with PCA and fuzzy optimal model (FOM) for the integrated assessment of sampling locations of water quality monitoring networks (WQMNs)

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Article information

DOI
https://doi.org/10.1039/C2EM30372H
Article type
Paper
Submitted
10 May 2012
Accepted
09 Oct 2012
First published
29 Oct 2012

J. Environ. Monit., 2012,14, 3118-3128

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Coupling geostatistical approaches with PCA and fuzzy optimal model (FOM) for the integrated assessment of sampling locations of water quality monitoring networks (WQMNs)

C. Ou, A. St-Hilaire, T. B. M. J. Ouarda, F. M. Conly, N. Armstrong, B. Khalil and S. Proulx-McInnis, J. Environ. Monit., 2012, 14, 3118 DOI: 10.1039/C2EM30372H

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