Hydrogeochemical investigation in an arid region of Iran (Tabas, Central Iran)

Pazand, Kaveh; Sarvestani, Jamal Fereidoni

doi:10.1007/s12665-012-2162-5

Cited by 20 publications

(4 citation statements)

References 19 publications

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“…Furthermore also suggests arsenic is more soluble in an alkaline and anoxic environment for instance in ID1-10 (pH = 7.65) and for Wilcox (pH = 7.49) (Figure 5(e)). Alkaline condition may produced by the weathering of silicate minerals, which also are to reduce the acidity [27] in BV aquifer. This increase in the pH to an alkaline condition will cause both arsenite (As +3 the predominant species under moderately reducing conditions) and arsenate (As +5 the predominant species in oxygenated water) to desorb.…”

Section: Arsenicmentioning

confidence: 99%

The Source of Arsenic and Nitrate in Borrego Valley Groundwater Aquifer

Rezaie-Boroon¹,

Chaney²,

Bowers³

2014

JWARP

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Section: Arsenicmentioning

confidence: 99%

The Source of Arsenic and Nitrate in Borrego Valley Groundwater Aquifer

Rezaie-Boroon¹,

Chaney²,

Bowers³

2014

JWARP

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“…The quality of groundwater at any point below the surface reflects the combined effects of many processes along the groundwater flow path (Pazand and Hezarkhani, 2012). Chemical reactions such as weathering, dissolution, precipitation, ion exchange, geological structure and mineralogy of the watersheds and aquifers and the geological and various biological processes commonly take place below the surface (Pazand and Sarvestani, 2013). Hydrogeochemical study is a useful tool to identify these processes that are responsible for groundwater chemistry (Jeevanandam et al, 2007).…”

Section: Introductionmentioning

confidence: 99%

Chemical characteristics of groundwater in Ardabil region, Iran

Pazand

2020

EFCC

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Purpose The chemical analysis of wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. The purpose of this study is to analyze the hydrochemical quality of groundwater in Ardabil aquifer in order to assess the suitability of the waters for different uses. Design/methodology/approach The chemical analysis of 75 water wells in the Ardabil area, was evaluated. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation. Findings The chemical analysis of 75 water wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation. Originality/value The chemical analysis of 75 water wells in the Ardabil area, Ardabil Province NW of Iran, was evaluated to determine the hydrogeochemical processes and ion concentration background in the region. Over the entire area, the dominated hydrochemical types are: Na-Cl, Na-HCO3-Cl-Mg, Ca-SO4, Ca-Mg-SO4-Cl and Ca-Mg-HCO3. The abundance of the major ions is as follows: Na+>Ca2+>Mg2+>K+ and SO42–> Cl–>HCO3– and major ion concentrations are below the acceptable level for drinking water. Most of groundwater samples fell in the soft water category. All of groundwaters belong to the excellent category and can be used safely for irrigation.

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“…Groundwater supplies more than a half of water demands in Iran including domestic, agricultural, and industrial demands (Pazand and Fereidoni Sarvestani 2012). Lack of management and protection policies, as well as the aquifer intrinsic vulnerability, faces the groundwater quality to deteriorate.…”

Section: Introductionmentioning

confidence: 99%

Groundwater risk assessment based on optimization framework using DRASTIC method

Jafari

Nikoo

2016

Arab J Geosci

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Due to anthropogenic influences and large amounts of pollutant released into the groundwater, it is vital to investigate groundwater quality and to characterize susceptible areas to contamination. In this paper, a new optimizationbased methodology is proposed for determining groundwater risk using DRASTIC model based on genetic algorithm optimization model and Wilcoxon test. The correlation coefficient between DRASTIC/modified DRASTIC indices and nitrate concentrations in monitoring wells is used as a criteria for evaluating the efficiency of the proposed models. In this regard, because of the unsatisfactory original DRASTIC's result, sensitivity analysis, genetic algorithm (GA), and Wilcoxon test (1945) are carried out to tackle the subjectivity associated with the original DRASTIC model and obtain better and reliable results. The results indicate that application of Wilcoxon test and GA optimization outperforms the others. Consequently, the correlation coefficient increased remarkably as compared to the original DRASTIC model (from 0.57 to 0.82). The proposed optimization process is adaptable to be applied in different case studies; mainly since it has the ability to optimize the weights of the model based on hydrogeological characteristics of the aquifer. Finally, the risk maps of the models are prepared using ArcGIS® to determine the most vulnerable areas.

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Hydrogeochemical investigation in an arid region of Iran (Tabas, Central Iran)

Cited by 20 publications

References 19 publications

The Source of Arsenic and Nitrate in Borrego Valley Groundwater Aquifer

The Source of Arsenic and Nitrate in Borrego Valley Groundwater Aquifer

Chemical characteristics of groundwater in Ardabil region, Iran

Groundwater risk assessment based on optimization framework using DRASTIC method

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