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"Extended environmental multimedia modeli" Keyword-tagged Publications:

Title Authors PubMed ID
1 Extended environmental multimedia modeling system assessing the risk carried by pollutants in interacted air-unsaturated-groundwater zones. Yuan J, Elektorowicz M 31376662
ENCS

 

Title:Extended environmental multimedia modeling system assessing the risk carried by pollutants in interacted air-unsaturated-groundwater zones.
Authors:Yuan JElektorowicz M
Link:https://www.ncbi.nlm.nih.gov/pubmed/31376662?dopt=Abstract
DOI:10.1016/j.jhazmat.2019.120852
Publication:Journal of hazardous materials
Keywords:Extended environmental multimedia modeling system (EEMMS)GroundwaterLandfill leachateMonte carlo method (MCM)Risk assessment toolRisk quotient (RQ)Unsaturated -saturated system interaction
PMID:31376662 Category:J Hazard Mater Date Added:2019-08-07
Dept Affiliation: ENCS
1 Green Intelligence Environmental School, Yangtze Normal University, Chongqing, China; Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, H3G1M8, Canada. Electronic address: 20180014@yznu.cn.
2 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, H3G1M8, Canada. Electronic address: mariae@encs.concordia.ca.

Description:

Extended environmental multimedia modeling system assessing the risk carried by pollutants in interacted air-unsaturated-groundwater zones.

J Hazard Mater. 2019 Jul 22;381:120852

Authors: Yuan J, Elektorowicz M

Abstract

Simulation of the transport of hazardous pollutants in a variety of media is a challenge. In this paper, a novel Extended Environment Multimedia Modeling and Analysis System (EEMMS) for migration of pollutants from landfill through unsaturated site to groundwater is presented. The developed EEMMS consists of four pathways modules: air, landfill, unsaturated zone and groundwater zone. The finite element method in EEMMS framework is used to analyze these four pathways and the results are compared to the finite difference model and analytical model. The effectiveness of EEMMS has been verified through a case study of Trail Road Landfill site. The simulation of uncertainty was conducted with a quantitative technique of Monte Carlo Method. The Risk Quotient (RQ) results show that the low-risk area covers 10,000 square meters, where the predicted concentrations of benzene are between 1 and 1.2?µg L-1. However, the high-risk area covers almost 200,000 square meters. Contrary to FEM, the majority of the FDM and analytical predictions were too high and fell outside the high boundary of the experimental result. The EEMMS is a unique risk assessment tool that can be used for impacts on water resource quality, biodiversity, fate of pollutants in ecosystem, climate change, etc.

PMID: 31376662 [PubMed - as supplied by publisher]





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