2018
DOI: 10.3390/ijerph15081652
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Effects of Highway-Related Pollutant on the Groundwater Quality of Turfy Swamps in the Changbai Mountain Area

Abstract: Transportation activities such as fuel consumption, vehicle wear and road deicing can detrimentally affect the groundwater quality of fragile roadside wetland environments including. Nineteen parameters (Cu, Pb, Zn, Cd, Cr, Ni, Hg, As, pH, TDS, Ca2+, Mg2+, Na+, K+, SO42−, Cl−, HCO3−, NO3− and F−) were determined in groundwater samples from turfy swamps impacted by highway traffic from Jiangyuan (JY), Longquan (LQ), and Huangsongdian (HSD). Our results indicate that the metals Cu, Pb, Zn, Cr, Cd, the ions Na+, … Show more

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Cited by 13 publications
(7 citation statements)
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References 42 publications
(50 reference statements)
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“…Many methods such as multivariate statistical techniques (e.g., cluster analysis, principal component analysis, and factor analysis) [13,14], hydro-geochemical evaluation [15,16], heavy metal indices (e.g., heavy metal pollution index, degree of contamination, heavy metal evaluation index, contamination factor, and health risk assessment) [17][18][19], and water evaluation indices [13] have been developed for assessing water quality considering physicochemical parameters. Grading water quality indicators largely depends on indicator concentration and the rate of relative toxicity.…”
Section: Introductionmentioning
confidence: 99%
“…Many methods such as multivariate statistical techniques (e.g., cluster analysis, principal component analysis, and factor analysis) [13,14], hydro-geochemical evaluation [15,16], heavy metal indices (e.g., heavy metal pollution index, degree of contamination, heavy metal evaluation index, contamination factor, and health risk assessment) [17][18][19], and water evaluation indices [13] have been developed for assessing water quality considering physicochemical parameters. Grading water quality indicators largely depends on indicator concentration and the rate of relative toxicity.…”
Section: Introductionmentioning
confidence: 99%
“…Chen et al (2016) [23] simulated the groundwater contamination in Tainan City, Taiwan, and the study revealed that the total mass of pollutants in the aquifer increased by 72% after 10 years. [24] studied the groundwater quality of Turfy Swamps in the Changbai Mountain area below the highway as the related pollutant, and showed a great influence on the groundwater quality of these wetlands with increasing highway operation time. Paradis et al (2016) [25] investigated groundwater nitrate concentration using a number of different groundwater flow and mass transport simulations to evaluate the potential impact of climate change and agricultural adaptation scenarios on Prince Edward Island, Canada.…”
Section: Introductionmentioning
confidence: 99%
“…The quality control was kept in all metal analyses as stated by individual instruction manuals and method precision and more than 95% in confidence interval (CI) with the correlation coefficient, r=~1 of respective calibration curves. Each method was recalibrated after running ten (10) samples and all quantitative analyses were executed in triplicate to ensure precision. Chemical and spectrometry analyses were carried out in the own laboratory of IES and Central Science Lab, University of Rajshahi, Bangladesh.…”
Section: Procedures Of Chemical Analysismentioning
confidence: 99%
“…Many heavy metal indices models such as degree of contamination, heavy metal evaluation index, contamination factor, and health risk evaluation [10,11], and water assessment indices [12] were developed for assessing water quality considering physicochemical parameters. Grading water quality indicators largely depends on indicator concentration and the rate of relative toxicity.…”
Section: Introductionmentioning
confidence: 99%