Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater — A case study: Ain Azel plain (Algeria)

Belkhiri, Lazhar; Boudoukha, Abderrahmane; Mouni, Lotfi; Baouz, Toufik

doi:10.1016/j.geoderma.2010.08.016

Cited by 184 publications

(86 citation statements)

References 30 publications

(29 reference statements)

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“…Ion exchange tends to shift the points to left due to an excess of Ca 2+ + Mg 2+ (Cerling et al, 1989;Fisher and Mulican, 1997;McLean and Jankowski, 2000). If reverse ion exchange is the process, it will shift the points to the right due to a large excess of SO 4 2 (Figure 2) shows that the all samples are located in the right side due to an excess of SO 4 -2 + HCO 3 - (Belkhiri et al, 2010 (Gaillardet et al, 1999) shows that the three group samples range from being influenced by silicate weathering to carbonate dissolution. The relation between Na-normalized Ca 2+ , HCO 3 -and Mg 2+ shows that although most of the Mg may have been derived from carbonate dissolution, some have a silicate source (Belkhiri et al, 2010).…”

Section: Resultsmentioning

confidence: 99%

“…The saturation indices of some of the common mineral phases is presented in Table 2, which clearly shows that the groundwater is generally supersaturated with respect to most of the carbonate and silicate phases and is most probably responsible for the composition of the groundwater (Belkhiri et al, 2010). The results of saturation calculations show that all the points are under saturated with anhydrite and gypsum, halite mineral phases are minor or absent in the area, suggesting that their soluble components Na + , Cl -, Ca 2+ and SO 4 2-concentrations are not limited by mineral equilibrium.…”

Section: Resultsmentioning

confidence: 99%

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Characterization of groundwater quality in Oran Sebkha basin

Boualla¹,

Benziane²,

Kacem³

et al. 2014

Afr. J. Environ. Sci. Technol.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Characterization of groundwater quality in Oran Sebkha basin

Boualla¹,

Benziane²,

Kacem³

et al. 2014

Afr. J. Environ. Sci. Technol.

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“…Cluster analysis refers to a multivariate statistical classification method that groups similar observations [25,26]. Hierarchical cluster analysis (HCA), which successively joins the most similar observations, is widely used in hydrochemical analyses to identify different chemical characteristics [6,[27][28][29].…”

Section: Hierarchical Cluster Analysismentioning

confidence: 99%

Groundwater Chemistry Regulated by Hydrochemical Processes and Geological Structures: A Case Study in Tongchuan, China

Qian

et al. 2018

Water

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Abstract:Knowledge of hydrochemical processes in groundwater helps to identify the relationship between geochemical processes and groundwater quality as well as to understand the hydrochemical evaluation of groundwater, which is important for the sustainable management of groundwater resources. This study aims to identify the chemical characteristics of groundwater in the area of Tongchuan City, China. A total of 58 groundwater samples were collected. A hierarchical cluster analysis divided samples into three clusters and six sub-clusters (cluster 1a, 1b, 2a, 2b, 3a, 3b) according to hydrochemical facies. Graphical plots of multiple ionic ratios, saturation indices, and ion exchange indices were employed to examine hydrochemical processes that result in different hydrochemical facies of each cluster. Results show the predominance of carbonate and silicate weathering in cluster 1, silicate weathering in cluster 2, and carbonate weathering in cluster 3. Ionic exchange is a ubiquitous process among all clusters. The distribution of clusters is related to the regional geology, which may result in different hydrochemical processes. Two stratigraphic sections identify the differences in hydrochemical processes resulting from complex stratum structures and varied aquifer media. Cluster 2a shows an interesting difference in water chemistry along the groundwater flow path. Further study by oxygen and hydrogen isotope indicated that mixing between Quaternary and the Permian aquifers resulting from faulting is the main reason for the distinctive characteristic of cluster 2a.

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“…Of these a combination of descriptive graphics and empirical multivariate statistical analyses prove most useful within the context of characterizing contamination in watersheds with complicated land use types and histories (Barros Grace et al, 2008;Belkhiri et al, 2010;Panno et al, 2006;, particularly for data sets on surface water chemistry that are widely distributed in space with little temporal record. For example, principal components analysis (PCA), hierarchical cluster analysis (HCA) and discriminant analysis (DA) have been extensively used in environmental hydrogeology to characterize differences in surface water chemistry, including contamination in large watersheds (Cloutier et al, 2008;Farnham et al, 2003;Alberto et al, 2001;Cortecci et al, 2009;Belkhiri et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

“…For example, principal components analysis (PCA), hierarchical cluster analysis (HCA) and discriminant analysis (DA) have been extensively used in environmental hydrogeology to characterize differences in surface water chemistry, including contamination in large watersheds (Cloutier et al, 2008;Farnham et al, 2003;Alberto et al, 2001;Cortecci et al, 2009;Belkhiri et al, 2010). Graphical approaches such as Piper diagrams (Piper, 1944) geochemically classify surface water quality into hydro-geochemical facies of water (Back, 1966;Frey et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Using integrated multivariate statistics to assess the hydrochemistry of surface water quality, Lake Taihu basin, China

Brower

Siegel

et al. 2014

J Limnol

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We investigated the hydrochemical setting of Lake Taihu (eastern China) Key words: Principal component analysis, discriminant analysis, hierarchical cluster analysis, geographical information system (gis), Key words: Principal component analysis, discriminant analysis, hierarchical cluster analysis, geographical information system (gis), N o n -c o m m e r c i a lThe demand for freshwater needed for increasing crop The demand for freshwater needed for increasing crop production and industrialization occurs almost everywhere production and industrialization occurs almost everywhere in China and these conflicting needs have led to widespread in China and these conflicting needs have led to widespread water contamination. Taihu Lake (eastern China) notably water contamination. Taihu Lake (eastern China) notably suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings from all of these sources This pollution has led to shortages of freshwater sources This pollution has led to shortages of freshwater for the City of Wuxi and other nearby cities. Taihu Lake, for the City of Wuxi and other nearby cities. Taihu Lake, for the City of Wuxi and other nearby cities. Taihu Lake, water contamination. Taihu Lake (eastern China) notably water contamination. Taihu Lake (eastern China) notably water contamination. Taihu Lake (eastern China) notably N o n water contamination. Taihu Lake (eastern China) notably water contamination. Taihu Lake (eastern China) notably water contamination. Taihu Lake (eastern China) notably N o n water contamination. Taihu Lake (eastern China) notably N o n water contamination. Taihu Lake (eastern China) notably suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water N o n suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water N o n suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water suffers periodic hyper-eutrophication and drinking water N o n suffers periodic hyper-eutrophication and drinking water deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings from all of these N o n deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings from all of these deterioration, from heavy nutrient loadings f...

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Application of multivariate statistical methods and inverse geochemical modeling for characterization of groundwater — A case study: Ain Azel plain (Algeria)

Cited by 184 publications

References 30 publications

Characterization of groundwater quality in Oran Sebkha basin

Characterization of groundwater quality in Oran Sebkha basin

Groundwater Chemistry Regulated by Hydrochemical Processes and Geological Structures: A Case Study in Tongchuan, China

Using integrated multivariate statistics to assess the hydrochemistry of surface water quality, Lake Taihu basin, China

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