Identification of groundwater chemistry origins in a regional aquifer system (Wielkopolska region, Poland)

Dragon, Krzysztof; Górski, Józef

doi:10.1007/s12665-014-3567-0

Cited by 44 publications

(21 citation statements)

References 25 publications

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“…Two multivariate statistical methods were applied in this study using the Statistical Package for the Social Sciences (SPSS Version 17.0) program: the hierarchical cluster analysis (HCA) and the principal component analysis (PCA). The description of HCA and PCA techniques and the methodology used for their application in ground water composition have been detailed in previous studies (e.g., Stetzenbach et al 2001;Guler et al 2002;Guler and Thyne 2004;Dragon 2006;Helstrup et al 2007;Papatheodorou et al 2007; Van den Brink et al 2007;Cloutier et al 2008;Yidana 2010;Monjerezi et al 2011;Zghibi et al 2014;Dragon and Gorski 2015). In this study, the parameters involved in the statistics include major constituents Ca 2+ , Mg 2+ , Na + , K + , HCO 3…”

Section: Data Interpretationmentioning

confidence: 99%

“…The water availability is greatly influenced by the local geology and climate (Zhu et al 2012a). Understanding of the source and recharge of natural waters is of great significance not only to the policy makers for regional planning but also to the scientists interested in hydrological cycles in arid environments over the world (Meyer et al 1988;George et al 1997;Arnell 1999;Kimbadi et al 1999;Cramer and Hobbs 2002;Hagg et al 2007;Jolly et al 2008;Zhu et al 2012b;Dragon and Gorski 2015).…”

Section: Introductionmentioning

confidence: 99%

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Statistical study to identify the key factors governing ground water recharge in the watersheds of the arid Central Asia

Zhu

Wang

2015

Environ Monit Assess

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Understanding the source and recharge of ground waters is of great significance to our knowledge in hydrological cycles in arid environments over the world. Northern Xinjiang in northwestern China is a significant repository of information relating to the hydrological evolution and climatic changes in central Asia. In this study, two multivariate statistical techniques, hierarchical cluster analysis (HCA) and principal component analysis (PCA), were used to assess the ground water recharge and its governing factors, with the principal idea of exploring the above techniques to utilize all available hydrogeochemical variables in the quality assessment, which are not considered in the conventional techniques like Stiff and Piper diagrams. Q-mode HCA and R-mode PCA were combined to partition the water samples into seven major water clusters (C1-C7) and three principal components (PC1-PC3, PC1 salinity, PC2 hydroclimate, PC3 contaminant). The water samples C1 + C4 were classified as recharge area waters (Ca-HCO 3 water), C2 + C3 as transitional zone waters (Ca-Mg-HCO 3 -SO 4 water), and C5 + C6 + C7 as discharge area waters (Na-SO 4 water). Based on the Q-mode PCA scores, three groups of geochemical processes influencing recharge regimes were identified: geogenic (i.e., caused by natural geochemical processes), geomorphoclimatic (caused by topography and climate), and anthropogenic (caused by ground water contamination). It is proposed that differences in recharge mechanism and ground water evolution, and possible bedrock composition difference, are responsible for the chemical genesis of these waters. These will continue to influence the geochemistry of the northern Xinjiang drainage system for a long time due to its steady tectonics and arid climate. This study proved that the chemistry differentiation of ground water can effectively support the identification of ground water recharge and evolution patterns.

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Section: Data Interpretationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Statistical study to identify the key factors governing ground water recharge in the watersheds of the arid Central Asia

Zhu

Wang

2015

Environ Monit Assess

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“…Among these, cluster analysis is effective in charactering the geochemical properties of the groundwater [17] and PCA method is commonly used in identifying the hydrochemical processes [18,19]. Factor analysis (FA) can be used to identify the major factors that controlled the geochemical process [20,21].…”

Section: I I I I I Ia Ia Ia I I I I I I I Ia Ia I I I Ia I I I I Iamentioning

confidence: 99%

Hydrogeochemical Characteristics and Evolution of Hot Springs in Eastern Tibetan Plateau Geothermal Belt, Western China: Insight from Multivariate Statistical Analysis

Shi

Wang

et al. 2017

Geofluids

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The eastern Tibetan Plateau geothermal belt is one of the important medium-high temperature geothermal belts in China. However, less work has been done on the hydrochemical characteristic and its geological origin. Understanding the chemical characteristics and the hydrochemical evolution processes is important in evaluating the geothermal energy potential in this area. In the present study, we discussed the hydrochemical properties and their origins of 39 hot springs located in the eastern Tibetan Plateau geothermal belt (Kangding-Litang-Batang geothermal belt). Cluster analysis and factor analysis are employed to character the hydrochemical properties of hot springs in different fault zones and the possible hydrochemical evolution processes of these hot springs. Our study shows that the hot springs can be divided into three groups based on their locations. The hot springs in the first group mainly originate from the volcanic rock and the springs in the second group originate from the metamorphic rock while the springs in the third group originate from the result of mixture of shallow water. Water-rock interaction, cation exchange, and the water environment are the three dominant factors that control the hydrochemical evolution process in the eastern Tibetan Plateau. These results are also in well agreement with the isotopic and chemical analysis.

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“…In particular, studies have discussed the issue of groundwater in the active exchange zone (Kazakis and Vaudouris 2015;Dragon and Górski 2015). This is the zone in which groundwater is affected by both natural and anthropogenic processes.…”

Section: Introductionmentioning

confidence: 99%

Spring water chemistry in a formerly glaciated area of western Poland: the contribution of natural and anthropogenic factors

Szczucińska

2016

Environ Earth Sci

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To assess natural and anthropogenic impacts on spring water chemistry, seasonal and spatial hydrochemical changes in 20 springs were studied in the western part of Poland. Spring water was sampled every 3 months from November 2011 to October 2013. The analyses investigated major cation, anion, and trace element concentrations. Moreover, water temperature, electrical conductivity, and pH were measured in the field. For five springs, isotopic analyses of nitrates were conducted. The results revealed that the water composition was similar for most of the elements studied. However, in the case of Fe, Mn 2? , Pb 2? , and nitrates, spatial and seasonal variations were relatively significant. The concentrations of total iron and manganese were found to exceed the Polish legal limits for drinking water in 70 and 85 % of the springs, respectively. In addition, Pb 2? levels were found to be highly variable; in some periods, the concentration was 10 times higher than the limit for drinking water. In some springs, elevated nitrate concentrations were found with a maximum of 74-mg NO 3 -/L, which is also in excess of the legal limit. The seasonally high levels of total Fe and Mn 2? are considered to be related to natural geo-and hydrochemical changes, but the high concentrations of Pb 2? and nitrates suggest anthropogenic pollution. The nitrates originate from agricultural practices, whereas Pb 2? may come from several sources. Hydrochemical monitoring must, therefore, consider seasonal variations, because the water properties may not permit its use during some periods, i.e., for drinking purposes.

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Identification of groundwater chemistry origins in a regional aquifer system (Wielkopolska region, Poland)

Cited by 44 publications

References 25 publications

Statistical study to identify the key factors governing ground water recharge in the watersheds of the arid Central Asia

Statistical study to identify the key factors governing ground water recharge in the watersheds of the arid Central Asia

Hydrogeochemical Characteristics and Evolution of Hot Springs in Eastern Tibetan Plateau Geothermal Belt, Western China: Insight from Multivariate Statistical Analysis

Spring water chemistry in a formerly glaciated area of western Poland: the contribution of natural and anthropogenic factors

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