Hydrochemical evaluation of groundwater in the Blue Nile Basin, eastern Sudan, using conventional and multivariate techniques

Hussein, Mansour F.

doi:10.1007/s10040-003-0265-5

Cited by 101 publications

(63 citation statements)

References 17 publications

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“…Hydrochemical evaluation of groundwater systems is usually based on the availability of a large amount of information concerning groundwater chemistry [6,7]. Quality of groundwater is equally important to its quantity owing to the suitability of water for various purposes [8,9].…”

Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Quality and its Suitability for Drinking and Agricultural Uses in the Oshnavieh Area, Northwest of Iran

Aghazadeh¹,

Mogaddam²

2010

JEP

187

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Section: Introductionmentioning

confidence: 99%

Assessment of Groundwater Quality and its Suitability for Drinking and Agricultural Uses in the Oshnavieh Area, Northwest of Iran

Aghazadeh¹,

Mogaddam²

2010

JEP

187

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“…R-mode CA is often used to assess the associations among different variables. In hydrological studies, it has been used to determine the association among water quality parameters, and ultimately the sources and processes that influence them [21][22][23][24]. We chose Ward's method of hierarchical agglomerative CA, a powerful grouping mechanism that uses squared Euclidean distances as a measure of similarity between samples and/or variables (standardized data), has a small space distorting effect, and uses more information about cluster contents than other hierarchical methods [18].…”

Section: Multivariate Statistical Analysismentioning

confidence: 99%

Assessment of Groundwater Chemistry and Status in a Heavily Used Semi-Arid Region with Multivariate Statistical Analysis

Zhang

Qian

Chen

et al. 2014

Water

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This hydrogeological study assessed the quality of phreatic water supplies across the semi-arid, traditional agricultural region of the Yinchuan region in northwest China, near the upper reaches of the Yellow River. We analyzed the chemical characteristics of water collected from 39 sampling stations before the 2011 summer-autumn irrigation period, using multivariate statistical analysis and geostatistical methods. We determined which factors influence the composition of groundwater, using principal component analysis (PCA) and two modes of cluster analysis. PCA showed that the most important variables in the study area were the strong evaporation effect caused by the dry climate, dissolution of carbonate minerals and those containing F − and K − , and human activity including the treatment of domestic sewage and chemical fertilization. The Q-mode of cluster analysis identified three distinct water types that were distinguished by different chemical compositions, while the R-mode of analysis revealed two distinct clusters of sampling stations that appeared to be influenced by distinct sets of natural and/or anthropogenic factors.

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“…Groundwater quality data give important clues to the geologic history of rocks and indications of groundwater recharge, movement and storage (Walton 1970). Groundwater quality depends on number of factors, such as general geology, degree of chemical weathering of prevailing lithology, quality of recharge water and inputs from sources other than water-rock interaction (Hussein 2004;Schuh et al 1997;Freeze and Cherry 1979;Domenico 1972). Demarcation of groundwater zones on the basis of quality was attempted by Subba Rao et al (2002) in Guntur of AP, India.…”

Section: Introductionmentioning

confidence: 99%

Assessment of groundwater quality from Bankura I and II Blocks, Bankura District, West Bengal, India

Nag

Das

2017

Appl Water Sci

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Hydrochemical evaluation of groundwater has been conducted in Bankura I and II Blocks to analyze and determining groundwater quality in the area. Thirty-six groundwater samples were analyzed for their physical and chemical properties using standard laboratory methods. The constituents have the following ranges in the water: pH 6.4-8. ). Sodium adsorption ratio (SAR), soluble sodium percentage (SSP), residual sodium carbonate (RSC), magnesium adsorption ratio (MAR), total hardness (TH), and permeability index (PI) were calculated as derived parameters, to investigate the ionic toxicity. Concerned chemical parameters when plotted in the U.S. Salinity diagram indicate that waters are of C 1 -S 1 , C 2 -S 1 and C 3 -S 1 types, i.e., low salinity and low sodium which is good for irrigation. The values of Sodium Adsorption Ratio indicate that the groundwater of the area falls under the category of low sodium hazard. So, there is neither salinity nor toxicity problem of irrigation water, and hence the ground water can safely be used for long-term irrigation. The chemical parameters when plotted in Piper's trilinear diagram are found to concentrate in the central and west central part of the diamond-shaped field. Based on the analytical results, groundwater in the area is found to be generally fresh and hard to very hard. ). According to Gibbs diagrams samples fall in the rock dominance field and the chemical quality of groundwater is related to the lithology of the area. The alkaline earth elements (Ca and Mg) occur in greater abundance than alkaline elements (Na and K). A comparative study of our analytical results with the WHO standards of drinking water indicate that the present waters are also good for drinking purposes.

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Hydrochemical evaluation of groundwater in the Blue Nile Basin, eastern Sudan, using conventional and multivariate techniques

Cited by 101 publications

References 17 publications

Assessment of Groundwater Quality and its Suitability for Drinking and Agricultural Uses in the Oshnavieh Area, Northwest of Iran

Assessment of Groundwater Quality and its Suitability for Drinking and Agricultural Uses in the Oshnavieh Area, Northwest of Iran

Assessment of Groundwater Chemistry and Status in a Heavily Used Semi-Arid Region with Multivariate Statistical Analysis

Assessment of groundwater quality from Bankura I and II Blocks, Bankura District, West Bengal, India

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