Groundwater quality assessment using the Water Quality Index and GIS in Saveh-Nobaran aquifer, Iran

Sadat‐Noori, Mahmood; Ebrahimi, Kumars; Liaghat, Abdolmajid

doi:10.1007/s12665-013-2770-8

Cited by 236 publications

(83 citation statements)

References 17 publications

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“…It was reported by Beaucaire et al (1999) that during summer season high temperature of the tropical regions may concentrate chloride present in groundwater (due to evaporation), whereas, during the post-monsoon it may be found high because of dissolution of chloride salts due to percolation of rainwater. Chloride contamination in water is common because it does not gets sorbed by the soil components, resulting in unrestricted movement and enhances bioavailability (Kumar and James 2013;Sadat-Noori et al 2014). Presence of chloride in groundwater derives from miscellaneous sources such as weathering and leaching of rock and soil, the intrusion of saltwater, windblown salt in rainfall, domestic and industrial effluent discharges etc.…”

Section: Resultsmentioning

confidence: 99%

Spatio-temporal variations in hydro-geochemistry of groundwater at rural, urban and industrial areas of Kanpur, India

Kumar

et al. 2018

Environmental Sustainability

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Physicochemical characteristics of groundwater provide vital information regarding prevailing geochemical, geomorphological and predominant pollution conditions in an area. In the present work, hydro-geochemical properties of ground water were examined at rural, urban and industrial areas of Kanpur to determine its aptness for drinking and irrigation. Groundwater samples were randomly collected from deep borewell pumps across the city. The samples were examined for pH, electrical conductivity (EC), nitrate, sulphate, chloride, hardness, alkalinity, total dissolved solids, sodium, potassium, calcium, which ranged between 7.10 and 8. −1 in post-monsoon season respectively. Water Quality Index of groundwater during post-monsoon were recorded to be better than the pre-monsoon season, reason being percolation of water during rainfall in monsoon. The pre and post-monsoon data provided valuable information regarding the suitability of groundwater for various purposes such as drinking and irrigation. Results showed 'fairly' and 'good' categories of water quality in the pre-monsoon season which further improved in post monsoon season. Results clearly specify that the natural process of groundwater recharge is an important mechanism to maintain the quality of groundwater.

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Section: Resultsmentioning

confidence: 99%

Spatio-temporal variations in hydro-geochemistry of groundwater at rural, urban and industrial areas of Kanpur, India

Kumar

et al. 2018

Environmental Sustainability

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“…In Iran, groundwater resources are not only the most important resources for drinking purpose, but also they are extensively used in agricultural, domestic and industrial sections (Sadat-Noori et al 2014). Understanding the spatial and temporal variation of groundwater quality is a crucial aspect for applying the optimal management of groundwater resources.…”

Section: Introductionmentioning

confidence: 99%

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

et al. 2018

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Geostatistical methods are one of the advanced techniques used for interpolation of groundwater quality data. The results obtained from geostatistics will be useful for decision makers to adopt suitable remedial measures to protect the quality of groundwater sources. Data used in this study were collected from 78 wells in Varamin plain aquifer located in southeast of Tehran, Iran, in 2013. Ordinary kriging method was used in this study to evaluate groundwater quality parameters. According to what has been mentioned in this paper, seven main quality parameters (i.e. total dissolved solids (TDS), sodium adsorption ratio (SAR), electrical conductivity (EC), sodium (Na + ), total hardness (TH), chloride (Cl − ) and sulfate (SO 4 2− )), have been analyzed and interpreted by statistical and geostatistical methods. After data normalization by Nscore method in WinGslib software, variography as a geostatistical tool to define spatial regression was compiled and experimental variograms were plotted by GS + software. Then, the best theoretical model was fitted to each variogram based on the minimum RSS. Cross validation method was used to determine the accuracy of the estimated data. Eventually, estimation maps of groundwater quality were prepared in WinGslib software and estimation variance map and estimation error map were presented to evaluate the quality of estimation in each estimated point. Results showed that kriging method is more accurate than the traditional interpolation methods.

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“…Spatial analysis of water quality usually involves interpolation of individual water pollutants in the study area, followed by combining their thematic maps using appropriate water quality index (Gajendra 2011;Yan et al 2015;Zhou et al 2007). Studies show that kriging is an effective interpolation method (Fallahzadeh et al 2016;Ostovari et al 2012;Sadat-Noori et al 2014).…”

Section: Introductionmentioning

confidence: 99%

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

2018

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Spatial analysis of water quality impact assessment of highway projects in mountainous areas remains largely unexplored. A methodology is presented here for Spatial Water Quality Impact Assessment (SWQIA) due to highway-broadening-induced vehicular traffic change in the East district of Sikkim. Pollution load of the highway runoff was estimated using an Average Annual Daily Traffic-Based Empirical model in combination with mass balance model to predict pollution in the rivers within the study area. Spatial interpolation and overlay analysis were used for impact mapping. Analytic Hierarchy ProcessBased Water Quality Status Index was used to prepare a composite impact map. Model validation criteria, cross-validation criteria, and spatial explicit sensitivity analysis show that the SWQIA model is robust. The study shows that vehicular traffic is a significant contributor to water pollution in the study area. The model is catering specifically to impact analysis of the concerned project. It can be an aid for decision support system for the project stakeholders. The applicability of SWQIA model needs to be explored and validated in the context of a larger set of water quality parameters and project scenarios at a greater spatial scale.

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Groundwater quality assessment using the Water Quality Index and GIS in Saveh-Nobaran aquifer, Iran

Cited by 236 publications

References 17 publications

Spatio-temporal variations in hydro-geochemistry of groundwater at rural, urban and industrial areas of Kanpur, India

Spatio-temporal variations in hydro-geochemistry of groundwater at rural, urban and industrial areas of Kanpur, India

Assessment and modeling of the groundwater hydrogeochemical quality parameters via geostatistical approaches

AHP-based spatial analysis of water quality impact assessment due to change in vehicular traffic caused by highway broadening in Sikkim Himalaya

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