Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quality index (WQI): a case of study in the Boumerzoug-El Khroub valley of Northeast Algeria

Bouteraa, Oualid; Mebarki, Azeddine; Bouaicha, Foued; Nouaceur, Zeineddine; Laignel, Benoı̂t

doi:10.1007/s11631-019-00329-x

Cited by 82 publications

(29 citation statements)

References 43 publications

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“…radial basis functions). Geostatistical interpolation techniques utilize the statistical properties of the measured points [32]. For this study, a weighted inverse distance interpolation (IDW) method was used to produce thematic spatial distributions for each parameter: EC, TDS, pH, NO 3 , Ca, Mg, K, Na, Cl, HCO 3 and SO 4 , and water quality index (WQI) of the study area of krimat aquifer.…”

Section: Gis Analysismentioning

confidence: 99%

The use of GIS and water quality index to assess groundwater quality of krimat aquifer (Essaouira; Morocco)

et al. 2020

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The aim of this present study was to evaluate groundwater quality in the upstream part of the Essaouira basin. A detailed geochemical study of groundwater region is described, and the origin of the chemical composition of groundwater has been qualitatively evaluated, using multivariate statistical methods (PCA, HCA), and Water Quality Index (WQI) was used to determine the suitability of water for drinking. To attempt this investigation, 38 samples were analysed for various physicochemical parameters such as temperature, pH, TDS, Na, NO 3 , K, Ca, HCO 3 , Cl, Mg, and SO 4. The results obtained showed that the facies characterizing the study area was a combination of Ca-SO 4 and mixed Ca-Mg-Cl. Hydrochemical approach based on the bivariate diagrams of major ions indicates that the origins of groundwater mineralization are the result of (I) evaporite dissolution; (II) cation-exchange reactions; and (III) evaporation processes. The WQI values range from 82.3 to 390.9, and therefore the water samples can be categorized into five groups: excellent water to water unsuitable for drinking. In global, 61% of the groundwater sampled had poor water quality, 18% were very poor water quality, 16% are unsuitable for drinking, and just 6% represent a good quality. However, the results of this paper indicate that most water is not safe for drinking and needs further treatment.

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Section: Gis Analysismentioning

confidence: 99%

The use of GIS and water quality index to assess groundwater quality of krimat aquifer (Essaouira; Morocco)

et al. 2020

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“…To geo-visualise the forecasted water salinity in the study area, spatial interpolation was used. Kriging is the most commonly used interpolator for estimating water quality (Bouteraa et al, 2019). It is a local estimation technique of the best linear unbiased estimator for the unknown spatial and temporal variables (Chung et al, 2019).…”

Section: Mapping Saltwater Intrusionmentioning

confidence: 99%

Performance evaluation of Auto-Regressive Integrated Moving Average models for forecasting saltwater intrusion into Mekong river estuaries of Vietnam

Thanh

Liem

Thanh

et al. 2021

Vietnam J. Earth Sci.

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The Mekong Delta is the most severely affected area by saltwater intrusion in Vietnam. Recent studies have focused on predicting this disaster with weekly and decade lead times without many seasonal forecasts, which is important for planning crop selection, crop structure, and sowing time. This study aims to forecast the spatial distribution of saltwater intrusion into the Mekong river estuaries of Vietnam during the dry season of 2021 by integrating Auto-Regressive Integrated Moving Average with Geographic Information System. ARIMA models were trained with a single input of water salinity measurements from 2012 to 2020. Compared to the weekly salinity observations in 2021, these models predicted very well in the My Tho and Ham Luong rivers but unsatisfactory performance in the Co Chien river. The deepest saltwater intrusion will occur between March 19th and April 16th of 2021, when the 4‰ saline front will move the farthest distance of 41,41 and 44 kilometers inland from the sea through My Tho, Ham Luong Co Chien rivers, respectively. The entire river system will be exposed to moderate risk of saltwater intrusion. Freshwater zones decreased significantly to 0.73% of the whole area of Ben Tre province. These findings could provide a valuable scientific foundation for the appropriate management of coastal aquifers to control or reduce saltwater intrusion.

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“…Produced dendrogram lets to analyse similarities easily. Ward's linkage, the Euclidean distance as similarity measurements, and Q-mode are usually used for cluster analysis for assessment of groundwater quality (Egbueri 2019;Cloutier et al 2008;Kazi et al 2009;Awomeso et al 2020;Trabelsi and Zouari 2019;Amanah et al 2019;Bouteraa et al 2019).…”

Section: Multivariate Statistical Techniquesmentioning

confidence: 99%

Assessment of groundwater safety surrounding contaminated water storage sites using multivariate statistical analysis and Heckman selection model: a case study of Kazakhstan

Radelyuk

Tussupova

Persson

et al. 2020

Environ Geochem Health

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Petrochemical enterprises in Kazakhstan discharge polluted wastewater into special recipients. Contaminants infiltrate through the soil into the groundwater, which potentially affects public health and environment safety. This paper presents the evaluation of a 7-year monitoring program from one of the factories and includes nineteen variables from nine wells during 2013-2019. Several multivariate statistical techniques were used to analyse the data: Pearson's correlation matrix, principal component analysis and cluster analysis. The analysis made it possible to specify the contribution of each contaminant to the overall pollution and to identify the most polluted sites. The results also show that concentrations of pollutants in groundwater exceeded both the World Health Organization and Kazakhstani standards for drinking water. For example, average exceedance for total petroleum hydrocarbons was 4 times, for total dissolved solids-5 times, for chlorides-9 times, for sodium-6 times, and total hardness was more than 6 times. It is concluded that host geology and effluents from the petrochemical industrial cluster influence the groundwater quality. Heckman two-step regression analysis was applied to assess the bias of completed analysis for each pollutant, especially to determine a contribution of toxic pollutants into total contamination. The study confirms a high loading of anthropogenic contamination to groundwater from the petrochemical industry coupled with natural geochemical processes.

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Groundwater quality assessment using multivariate analysis, geostatistical modeling, and water quality index (WQI): a case of study in the Boumerzoug-El Khroub valley of Northeast Algeria

Cited by 82 publications

References 43 publications

The use of GIS and water quality index to assess groundwater quality of krimat aquifer (Essaouira; Morocco)

The use of GIS and water quality index to assess groundwater quality of krimat aquifer (Essaouira; Morocco)

Performance evaluation of Auto-Regressive Integrated Moving Average models for forecasting saltwater intrusion into Mekong river estuaries of Vietnam

Assessment of groundwater safety surrounding contaminated water storage sites using multivariate statistical analysis and Heckman selection model: a case study of Kazakhstan

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