The effect of leachate-contaminated groundwater on the cells of the kidney was evaluated. Serum Na(+) concentration of control rats was observed to be 120+/-1.0 nmol/l while that of rat placed on simulated leachate was 180+/-4.0 nmol/l. Serum K(+), urea and creatinine concentrations of rats placed on simulated leachate and leachate-contaminated groundwater were significantly higher(p<0.05) than those of control rats. The activity of Alkaline phosphatase (ALP) of the kidney and serum, respectively, observed for the control rats were (237+/-3.70 and 0.37+/-0.01)nmol/min/mg protein while (116+/-4.20 and 3.17+/-0.20)nmol/min/mg protein was the ALP activity of kidney and serum, respectively, observed for the rats placed on simulated leachate. Histological examination of the kidney of the control rats showed no visible lesion while that of rats placed on simulated leachate showed extensive necrosis of muscle fibres and cellular infiltration by macrophages. It is viewed that leachate-contaminated groundwater may damage kidney cells and impair renal function.
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http://dx.doi.org/10.1016/j.etp.2009.06.008 | DOI Listing |
J Environ Sci (China)
November 2024
School of Environment, Tsinghua University, Beijing 100084, China. Electronic address:
Groundwater contamination near landfills is commonly caused by leachate leakage, and permeable reactive barriers (PRBs) are widely used for groundwater remediation. However, the deactivation and blockage of the reactive medium in PRBs limit their long-term effectiveness. In the current study, a new methodology was proposed for the in situ regeneration of PRB to remediate leachate-contaminated groundwater.
View Article and Find Full Text PDFWater Res
September 2023
State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China; State Environmental Protection Key Laboratory of Simulation and Control of Groundwater Pollution, Chinese Research Academy of Environmental Sciences, Beijing 100012, China. Electronic address:
Sanitary landfill is the most prevalent and economic method for municipal solid waste disposal, and the resultant groundwater pollution has become an environmental problem due to leachate leakage. The pollution characteristics in groundwater near landfill sites have been extensively investigated, although the succession characteristics and driving mechanisms of microbial communities in leachate-contaminated groundwater and the sensitive microbial indicators for leachate leakage identification remain poorly studied. Herein, results showed that leachate leakage enhanced the microbial diversity and richness and transferred endemic bacteria from landfills into groundwater, producing an average decrease of 17.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
December 2022
Cecep Dadi (Hangzhou) Environmental Remediation Co., Ltd., Zhejiang Province, Hangzhou, 310020, China.
FEMS Microbiol Ecol
July 2021
Faculty of Technology, Natural Sciences and Maritime Sciences, Department of Natural Sciences and Environmental Health, University of South-Eastern Norway, Gullbringvegen 36, NO-3800, Bø, Norway.
The microbiome of an aquifer contaminated by landfill leachate and undergoing intrinsic remediation was characterised using 16S rRNA metabarcoding. The archaeal/bacterial V3-V4 hypervariable region of the 16S rRNA gene was sequenced using Illumina MiSeq, and multivariate statistics were applied to make inferences. Results indicate that the aquifer recharge and aquifer sediment samples harbour different microbial communities compared to the groundwater samples.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
October 2021
National Environmental Engineering Research Institute (NEERI), Nagpur, 440020, India.
A human health risk assessment (HHRA) will not remain simple and straightforward when it involves multiple uncertain input variables. Uncertainties in HHRA result from the unavailability and subjectivity of input variables. Though several studies have performed HHRA, the quantification of uncertainty in HHRA under a situation of data scarcity and the simultaneous application of random and non-random input variables have rarely been reported.
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