Groundwater geochemistry in the Meshkinshahr basin of Ardabil province in Iran

Pazand, Kaveh; Hezarkhani, Ardeshir; Ghanbari, Yousef; Aghavali, Nasrin

doi:10.1007/s12665-011-1131-8

Cited by 38 publications

(27 citation statements)

References 10 publications

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“…In natural environment, however, K ? often occurs in low levels owing to its tendency to be fixed by clay minerals and its involvement in the formation of secondary minerals (Pazand et al 2012). The origin of K ?…”

Section: Water Usability Based On Hydrogeochemical Parameters Nationmentioning

confidence: 99%

“…in natural freshwater is weathering of rocks but its conc. often increase in the polluted water due to disposal of wastewater (Pazand et al 2012). Otherwise, the commonest K ?…”

Section: Water Usability Based On Hydrogeochemical Parameters Nationmentioning

confidence: 99%

“…of Na ? from most local water samples could be due to long rock-water interactions, high ET, dissolution of halite minerals and weathering of plagioclase feldspar (Pazand et al 2012). The weathering of plagioclase feldspars (albite) follows Eq.…”

Section: Water Usability Based On Hydrogeochemical Parameters Nationmentioning

confidence: 99%

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Origin and mechanisms of high salinity in Hombolo Dam and groundwater in Dodoma municipality Tanzania, revealed

et al. 2017

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The Hombolo dam (HD), in central Tanzania, is a shallow reservoir characterized by high salinity that limits its use for human activities. The origin of the salinity, mechanisms of reaching and concentrating in the dam remain unclear. These were assessed using hydrogeochemical facies, water type evolutions and mapping. The source of HD salinity was identified to be shallow groundwater (SG) and runoff from a seasonal floodplain with NaCl-rich lithological materails, along Little Kinyasungwe River that feeds the dam. The NaCl-rich lithological units, about 5-7 km upstream of the dam, were highly concentrated with NaCl to the extent that the local community was commercially separating table salt from them. The physicochemical parameters from these NaCl-rich lithological materials were well represented in HD and nearby groundwater sources, which suggests active water interactions. Water type evolution and surface hydrology assessments clearly showed that SG in the salty-floodplain was influenced by evaporation (ET) and was periodically carried to the HD. Clearly; HD water had high chemical similarity with the nearby SG. This agrees with previous studies that HD is partly fed by the local aquifer. However, this is the first attempt at mapping its physical origin. The origin of HD salinity was further supported by the spatial distribution of electrical conductivity (EC), where very high EC (up to 21,230 lScm ) was recorded in SG within the NaCl-rich lithological unit while water sources far away from the NaClrich materials had much lower EC values. Thus, the study disagrees with previous conclusions that HD salinity was sorely due to high dam surface ET but is primarily due to geological reasons. Comparisons of HD with a nearby Matumbulu dam (MD), another earthen dam in climatologically similar settings, reveals that MD water was less saline/ mineralised. This further shows that HD high salinity is most likely a geologic phenomenon, but local climatic factors, namely high ET, decreasing rainfall and warming trends are likely to have concentrated the salts further. Although HD is widely/ideally used for grape vine irrigation, it was clearly revealed that its prolonged usage would potentially affect the soil and grape productivity due to high salinity.

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Section: Water Usability Based On Hydrogeochemical Parameters Nationmentioning

confidence: 99%

“…in natural freshwater is weathering of rocks but its conc. often increase in the polluted water due to disposal of wastewater (Pazand et al 2012). Otherwise, the commonest K ?…”

Section: Water Usability Based On Hydrogeochemical Parameters Nationmentioning

confidence: 99%

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Origin and mechanisms of high salinity in Hombolo Dam and groundwater in Dodoma municipality Tanzania, revealed

et al. 2017

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“…Correlation analysis measures the closeness and the point of linear association between independent and dependent variables. The closeness and degree of linear relationship between independent and dependent variables can be measured from correlation analysis (Jabal et al, 2014;Kalaivani and Krishnaveni, 2015;Ketata et al, 2011;Pazand et al, 2012;Singh et al, 2012;Srinivasamoorthy et al, 2012). The measure of interdependence of two or more variables is called the correlation coefficient (r) and is usually used to measure and find a relation amongst the variables.…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

“…Therefore, variables with the positive correlation mean that they have a common source, whereas variables with negative correlation specify different sources. Variables will be STATISTICAL ANALYSIS TOOLS FOR THE ASSESSMENT OF GROUNDWATER CHEMICAL VARIATIONS 3 strongly correlated if the value of r >0.7 or -0.7 and shows moderate correlation when the values ranges from 0.5 to 0.7 or -0.5 to -0.7 (Jabal et al, 2014;Pazand et al, 2012). The correlation between sodium and chloride is normally used to recognise the mechanism of salinity in arid and semiarid regions (Jabal et al, 2014).…”

Section: Correlation Coefficient Analysismentioning

confidence: 99%

Use of Multivariate Statistical Analysis for the Assessment of Groundwater Chemical Variations in Wadi Bani Malik Area, Saudi Arabia

2018

Global NEST Journal

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Multivariate statistical analysis including cluster analysis, factor analysis and correlation coefficient was applied to the groundwater samples to understand the groundwater condition in Wadi Bani Malik area. Water samples collected from the study area were analysed for physical parameters, major cations and major anions. The groundwater quality is not good in this area and the physicochemical parameters go beyond the acceptable limits of the Kingdom of Saudi Arabia and WHO drinking water standards. The water type in the study area was primarily NaCl. Correlation coefficients were determined among different parameters and then regression analysis was performed to realize the linear relationship between the best correlated parameters. Results of factor analysis specify that factor 1 is dominant and is responsible for 45.5% of the total variance and is dominated by Cl -, Na + , Mg ++ and K + . Ground water samples can be divided into four clusters.

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Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran

Narany

Ramli

Aris

et al. 2014

Environ Monit Assess

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In recent years, groundwater quality has become a global concern due to its effect on human life and natural ecosystems. To assess the groundwater quality in the Amol-Babol Plain, a total of 308 water samples were collected during wet and dry seasons in 2009. The samples were analysed for their physico-chemical and biological constituents. Multivariate statistical analysis and geostatistical techniques were applied to assess the spatial and temporal variabilities of groundwater quality and to identify the main factors and sources of contamination. Principal component analysis (PCA) revealed that seven factors explained around 75% of the total variance, which highlighted salinity, hardness and biological pollution as the dominant factors affecting the groundwater quality in the Plain. Two-way analysis of variance (ANOVA) was conducted on the dataset to evaluate the spatio-temporal variation. The results showed that there were no significant temporal variations between the two seasons, which explained the similarity between six component factors in dry and wet seasons based on the PCA results. There are also significant spatial differences (p > 0.05) of the parameters under study, including salinity, potassium, sulphate and dissolved oxygen in the plain. The least significant difference (LSD) test revealed that groundwater salinity in the eastern region is significantly different to the central and western side of the study area. Finally, multivariate analysis and geostatistical techniques were combined as an effective method for demonstrating the spatial structure of multivariate spatial data. It was concluded that multiple natural processes and anthropogenic activities were the main sources of groundwater salinization, hardness and microbiological contamination of the study area.

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Groundwater geochemistry in the Meshkinshahr basin of Ardabil province in Iran

Cited by 38 publications

References 10 publications

Origin and mechanisms of high salinity in Hombolo Dam and groundwater in Dodoma municipality Tanzania, revealed

Origin and mechanisms of high salinity in Hombolo Dam and groundwater in Dodoma municipality Tanzania, revealed

Use of Multivariate Statistical Analysis for the Assessment of Groundwater Chemical Variations in Wadi Bani Malik Area, Saudi Arabia

Spatiotemporal variation of groundwater quality using integrated multivariate statistical and geostatistical approaches in Amol–Babol Plain, Iran

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