Spatial distribution patterns and temporal trends of heavy-metal concentrations in a petroleum hydrocarbon-contaminated site: Karaduvar coastal aquifer (Mersin, SE Turkey)

Güler, Cüneyt; Kaplan, Volkan; Akbulut, Can

doi:10.1007/s12665-012-2186-x

Cited by 18 publications

(3 citation statements)

References 33 publications

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“…Correlations among hydrochemical constituents of the groundwater samples were examined by factor analysis (Li and Zhang 2010;Guler et al 2013) using each of the heavy metals tested as variables. Five factors were found to explain 73.39 % of the total variance in the Fig.…”

Section: Factor Analysismentioning

confidence: 99%

Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

Arslan

Turan²

2015

Environ Monit Assess

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Monitoring of heavy metal concentrations in groundwater potentially used for drinking and irrigation is very important. This study collected groundwater samples from 78 wells in July 2012 and analyzed them for 17 heavy metals (Pb, Zn, Cr, Mn, Fe, Cu, Cd, Co, Ni, Al, As, Mo, Se, B, Ti, V, Ba). Spatial distributions of these elements were identified using three different interpolation methods [inverse distance weighing (IDW), radial basis function (RBF), and ordinary kriging (OK)]. Root mean squared error (RMSE) and mean absolute error (MAE) for cross validation were used to select the best interpolation methods for each parameter. Multivariate statistical analysis [cluster analysis (CA) and factor analysis (FA)] were used to identify similarities among sampling sites and the contribution of variables to groundwater pollution. Fe and Mn levels exceeded World Health Organization (WHO) recommended limits for drinking water in almost all of the study area, and some locations had Fe and Mn levels that exceeded Food and Agriculture Organization (FAO) guidelines for drip irrigation systems. Al, As, and Cd levels also exceeded WHO guidelines for drinking water. Cluster analysis classified groundwater in the study area into three groups, and factor analysis identified five factors that explained 73.39% of the total variation in groundwater, which are as follows: factor 1: Se, Ti, Cr, Mo; factor 2: Ni, Mn, Co, Ba; factor 3: Pb, Cd; factor 4: B, V, Fe, Cu; and factor 5: AS, Zn. As a result of this study, it could be said that interpolation methods and multivariate statistical techniques gave very useful results for the determination of the source.

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Section: Factor Analysismentioning

confidence: 99%

Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

Arslan

Turan²

2015

Environ Monit Assess

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“…Microbial communities play a key role in these redox reactions, including those related to organic contaminant biodegradation and inorganic elemental cycling within the developed biogeochemical zones. , The resulting redox changes associated with organic contaminant spills can result in metal (hydr)oxide reduction and subsequent release of naturally occurring contaminants to groundwater, particularly those with a strong sorption affinity to iron (Fe(III)) and manganese (Mn(IV)) (hydr)oxides. For example, elevated concentrations of arsenic (As), cobalt (Co), chromium (Cr), and nickel (Ni) have been observed in groundwater at crude oil-contaminated sites, − and elevated concentrations of As and Ni can occur in groundwater at sites contaminated with chlorinated solvents. , Radium (Ra) is another geogenic contaminant with a strong sorption affinity for Fe(III) and Mn(IV) (hydr)oxides, , but its occurrence in relation to redox zonation and geochemical conditions in a hydrocarbon-contaminated aquifer has not yet been examined. Recent studies have emphasized the critical need for a holistic view of hydrocarbon-contaminated sites that considers both primary contamination and potential secondary water quality impacts, including the persistence of hydrocarbon partial transformation products (e.g., oxyhydrocarbons) − and the release of geogenic contaminants from aquifer sediments .…”

Section: Introductionmentioning

confidence: 99%

Elevated Radium Activity in a Hydrocarbon-Contaminated Aquifer

Plechacek

Mathews

et al. 2023

Environ. Sci. Technol.

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Hydrocarbon spills that reach the subsurface can modify aquifer geochemical conditions. Biogeochemical zones typically form proximal to the source zone that include iron (Fe(III)) and manganese (Mn(III/IV)) (hydr)oxide reduction, with potential to release associated geogenic contaminants to groundwater. Here, multi-level monitoring systems are used to investigate radium (226Ra, 228Ra) activities in an aquifer contaminated with a mixture of chlorinated solvents, ketones, and aromatics occurring as a dense non-aqueous phase liquid in the source zone. 226Ra activities are up to 10 times higher than background 60 m downgradient from the source zone, where pH is lower, total dissolved solid concentrations are higher, and conditions are methanogenic. Correlations indicate that Fe and Mn (hydr)oxide reduction and sorption site competition are likely responsible for elevated Ra activities within the dissolved phase plume. 226Ra activities return to background within the Fe(III)/SO4 2–-reducing zone 600 m downgradient from the source, near the middle of the dissolved phase plume. Geochemical models indicate that sorption to secondary phases (e.g., clays) is important in sequestering Ra within the plume. Although maximum Ra activities within the plume are well below the U.S. drinking water standard, elevated activities compared to background emphasize the importance of investigating Ra and other trace elements at hydrocarbon-impacted sites.

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“…Among these chemicals, contaminants from petroleum products are widespread in groundwater because of leakage from underground storage tanks and pipelines in numerous sites [4]. Therefore, petroleum pollution in groundwater is an important concern, and many researchers aim to develop appropriate techniques [5]. PAT is the best-understood remediation technology and is most widely used to clear the contaminated plumes in aquifers because of the simple devices used in the process and its pronounced mass removal of contaminants.…”

Section: Introductionmentioning

confidence: 99%

A Simulation-Based Nonlinear Goal Programming Model for Groundwater Remediation Systems Design

Li¹,

He²,

Lu³

2015

Pol. J. Environ. Stud.

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This study proposes an integrated method that simulates and optimizes groundwater design and management in combination with goal programming, which establishes the equilibrium between technical and environmental constraints in a pump-and-treat system. This method is applied to a petroleum-contaminated site in Western Canada to identify optimal remediation strategies given a set of remediation scenarios. The significant influential factors are remediation duration, standard concentration levels, and total pumping rate. Results indicate that goal programming can greatly enhance the remediation effect under low contaminant concentrations. In the pump-and-treat system, wells I2, E1, and E3 are the dominant components, whereas wells M7 and M5 are sensitive to variations in the identified influential factors. These wells must therefore be monitored intentionally. Moreover, these factors influence one another in interaction. Thus, high total pumping rates do not always generate favorable outcomes, and a long remediation period is unnecessary. In conclusion, the three identified factors should be spontaneously considered in the general goal-programming framework.

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Spatial distribution patterns and temporal trends of heavy-metal concentrations in a petroleum hydrocarbon-contaminated site: Karaduvar coastal aquifer (Mersin, SE Turkey)

Cited by 18 publications

References 33 publications

Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

Estimation of spatial distribution of heavy metals in groundwater using interpolation methods and multivariate statistical techniques; its suitability for drinking and irrigation purposes in the Middle Black Sea Region of Turkey

Elevated Radium Activity in a Hydrocarbon-Contaminated Aquifer

A Simulation-Based Nonlinear Goal Programming Model for Groundwater Remediation Systems Design

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