Comparative analysis of regional water quality in Canada using the Water Quality Index

Rosemond, Simone de; Duro, Dennis C.; Dubé, Monique G.

doi:10.1007/s10661-008-0480-6

Cited by 97 publications

(48 citation statements)

References 12 publications

(27 reference statements)

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“…Therefore, representative and reliable monitoring and assessment of water quality are critical (Massoud, 2010;Martin and Madelene, 2016). Surface water quality is traditionally assessed by water quality standards and objectives (Rosemond et al, 2009). However, this traditional approach cannot provide sufficient information on the overall quality of water or the spatial and temporal trends (Kannel et al, 2007).…”

Section: Issn: 2319-7706 Volume 7 Number 04 (2018)mentioning

confidence: 99%

Water Quality Index as a Tool for Assessment of Status of an Urban Lake of Mumbai

Usman¹,

Dube²,

Shukla³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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Section: Issn: 2319-7706 Volume 7 Number 04 (2018)mentioning

confidence: 99%

Water Quality Index as a Tool for Assessment of Status of an Urban Lake of Mumbai

Usman¹,

Dube²,

Shukla³

et al. 2018

Int.J.Curr.Microbiol.App.Sci

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“…Each parameter contributes towards its respective PC and its contribution is determined by the loading values. PCA has been used in many water quality studies, such as 1) determining spatio-temporal changes in the water quality of Jajrood River [8]; 2) comparing water quality of regional sites of Canada for spatial and temporal changes [9]; 3) seasonal and spatial variations for surface water quality of Mid-Black Sea Coast in Turkey [10]; and 4) impact of agricultural activities for Nathan Creek Watershed, British Columbia, Canada [11].…”

Section: Introductionmentioning

confidence: 99%

Clusterization of Surface Water Quality and Its Relation to Climate and Land Use/Cover

Akbar¹,

Hassan²,

Achari³

2013

JEP

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The quality of surface water is rapidly changing due to climatic variations, natural processes, and anthropogenic activities. The objectives of this study were to classify and analyze the surface water quality of 12 major rivers of Alberta on the basis of 17 parameters during the period of five years (i.e., 2004-2008) using principal component analysis (PCA), total exceedance model and clustering technique. Seven major principal components (PCs) with variability of about 89% were identified. These PCs were the indicators of watershed geology, mineralization and anthropogenic activities related to land use/cover. The seven dominant parameters revealed from the seven PCs were total dissolved solids (TDS), true color (TC), pH, iron (Fe), fecal coliform (FC), dissolved oxygen (DO), and turbidity (TUR). The normalized data of dominant parameters were used to develop a model for obtaining total exceedance. The exceedance values acquired from the total exceedance model were used to determine the patterns for the development of five clusters. The performance of the clusters was compared with the classes obtained in Canadian Water Quality Index (CWQI). Cluster 1, cluster 2, cluster 3, cluster 4 and cluster 5 showed agreements of 85.71%, 83.54%, 90.22%, 80.74%, and 83.40% with their respective CWQI classes on the basis of the data for all rivers during [2004][2005][2006][2007][2008]. The water quality was deteriorated in growing season due to snow melting. This methodology could be applied to classify the raw surface water quality, analyze the spatio-temporal trends and study the impacts of the factors affecting the water quality anywhere in the world.

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“…Several studies in the literature have applied this index for various purposes. In Canada, it was used to evaluate the water quality status of several river basins (Khan et al 2003;Lumb et al 2006;Davies 2006), to evaluate drinking water quality (Khan et al 2004;Hurley et al 2012) and to assess water quality in metal mines (de Rosemond et al 2009). In addition to the above-mentioned applications of CCME WQI in Canada, this index also has been adopted in several other countries.…”

Section: Canadian Council Of Ministers Of the Environment Indexmentioning

confidence: 99%

Development of river water quality indices—a review

Sutadian

Muttil

Yilmaz

et al. 2015

Environ Monit Assess

344

210

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The use of water quality indices (WQIs) as a tool to evaluate the status of water quality in rivers has been introduced since the 1960s. The WQI transforms selected water quality parameters into a dimensionless number so that changes in river water quality at any particular location and time could be presented in a simple and easily understandable manner. Although many WQIs have been developed, there is no worldwide accepted method for implementing the steps used for developing a WQI. Thus, there is a continuing interest to develop accurate WQIs that suit a local or regional area. This paper aims to provide significant contribution to the development of future river WQIs through a review of 30 existing WQIs based on the four steps needed to develop a WQI. These steps are the selection of parameters, the generation of sub-indices, the generation of parameter weights and the aggregation process to compute the final index value. From the 30 reviewed WQIs, 7 were identified as most important based on their wider use and they were discussed in detail. It was observed that a major factor that influences wider use of a WQI is the support provided by the government and authorities to implement a WQI as the main tool to evaluate the status of rivers. Since there is a lot of subjectivity and uncertainty involved in the steps for developing and applying a WQI, it is recommended that the opinion of local water quality experts is taken, especially in the first three steps (through techniques like Delphi method). It was also observed that uncertainty and sensitivity analysis was rarely undertaken to reduce uncertainty and hence such an analysis is recommended for future studies.

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Comparative analysis of regional water quality in Canada using the Water Quality Index

Cited by 97 publications

References 12 publications

Water Quality Index as a Tool for Assessment of Status of an Urban Lake of Mumbai

Water Quality Index as a Tool for Assessment of Status of an Urban Lake of Mumbai

Clusterization of Surface Water Quality and Its Relation to Climate and Land Use/Cover

Development of river water quality indices—a review

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