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Multivariate Analysis of Water Quality in the Richibucto Drainage Basin (New Brunswick, Canada).

St-Hilaire, André; Brun, Guy; Courtenay, Simon C.; Ouarda, Taha B. M. J.; Boghen, Andrew D.; Bobée, Bernard (2004). Multivariate Analysis of Water Quality in the Richibucto Drainage Basin (New Brunswick, Canada). Journal of the American Water Resources Association , vol. 40 , nº 3. p. 691-703. DOI: 10.1111/j.1752-1688.2004.tb04453.x.

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Résumé

Specific conductivity, pH, dissolved oxygen, carbon, phosphorous, and nitrogen species were measured at 36 stations in the Richibucto River drainage basin, including the estuary, in New Brunswick, Canada, over the six‐year period 1996 through 2001. Each station was sampled between 1 and 26 times (mean = 7.5, standard deviation = 6.0) during the ice free seasons without regard to tide. There was significant variance among stations in most parameters. Principal component analysis (PCA) was used to identify the processes explaining the observed variance in water quality. Because of the high variability in specific conductance, stations were first grouped in a freshwater subset and an estuarine (brackish water) subset. For freshwater stations, most of the variance in water quality was explained by pH and total organic carbon, as well as high nutrient concentrations. These high nutrient concentrations, along with water salinity, which varies with flow and tides, are also important in determining water quality variability in brackish water. It is recommended that water quality parameters that were found to explain most of the variance by PCA be monitored more closely, as they are key elements in understanding the variability in water quality in the Richibucto drainage basin. Cluster analyses showed that high phosphorous and nitrate concentrations were mostly found in areas of peat runoff, tributaries receiving treated municipal effluent, and lentic zones upstream of culverts. Peat runoff was also shown to be acidic, whether it is runoff from a harvested area or a natural bog.

Type de document: Article
Mots-clés libres: water quality; statistical analysis; multivariate; watershed management; peat
Centre: Centre Eau Terre Environnement
Date de dépôt: 08 janv. 2021 18:46
Dernière modification: 08 janv. 2021 18:46
URI: http://espace.inrs.ca/id/eprint/11022

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