Keyword search (4,164 papers available)

"Zhang Q" Authored Publications:

Title Authors PubMed ID
1 Indoor exposure to selected flame retardants and quantifying importance of environmental, human behavioral and physiological parameters Li Z; Zhang X; Wang B; Shen G; Zhang Q; Zhu Y; 35461943
CHEMBIOCHEM
2 Fluorinated Sterically Bulky Mononuclear and Binuclear 2-Iminopyridylnickel Halides for Ethylene Polymerization: Effects of Ligand Frameworks and Remote Substituents Zhang Q; Lin W; Liu T; Ye Z; Liang T; Sun WH; 34778687
ENCS
3 Modeling of Flame Retardants in Typical Urban Indoor Environments in China during 2010-2030: Influence of Policy and Decoration and Implications for Human Exposure Li Z; Zhu Y; Wang D; Zhang X; Jones KC; Ma J; Wang P; Yang R; Li Y; Pei Z; Zhang Q; Jiang G; 34410710
CHEMBIOCHEM
4 Environmental Multimedia Modeling System (EMMS) for Health Risk Assessment: Key Influencing Factors and Uncertainties Researches. Yuan J, Chen Z, Ding S, Zhang Q, Jia Y 33410257
ENCS
5 Transcriptomic analysis suggests the inhibition of DNA damage repair in green alga Raphidocelis subcapitata exposed to roxithromycin. Guo J, Bai Y, Chen Z, Mo J, Li Q, Sun H, Zhang Q 32505758
CHEMISTRY
6 Antagonistic interactions between two MAP kinase cascades in plant development and immune signaling. Sun T, Nitta Y, Zhang Q, Wu D, Tian H, Lee JS, Zhang Y 29789386
BIOLOGY

 

Title:Environmental Multimedia Modeling System (EMMS) for Health Risk Assessment: Key Influencing Factors and Uncertainties Researches.
Authors:Yuan J,  Chen Z,  Ding S,  Zhang Q,  Jia Y
Link:https://www.ncbi.nlm.nih.gov/pubmed/33410257
DOI:10.1002/ieam.4387
Publication:Integrated environmental assessment and management
Keywords:Chemical leachate;  Environmental management;  Environmental multimedia modeling system (EMMS);  Monte Carlo method (MCM);  Risk quotient (RQ); 
PMID:33410257 Category:Integr Environ Assess Manag Date Added:2021-01-08
Dept Affiliation: ENCS
1 Green Intelligence Environmental School, Yangtze Normal University, Chong Qing, China.
2 University of Alberta, Edmonton, Alberta, Canada.
3 Department of Building, Civil, and Environmental Engineering, Concordia University, Montreal, Quebec, Canada.
4 Institute of Energy and Environment, Anhui University of Technology, Ma'anshan, Anhui, China.

Description:

Environmental Multimedia Modeling System (EMMS) for Health Risk Assessment: Key Influencing Factors and Uncertainties Researches.

Integr Environ Assess Manag. 2021 Jan 06; :

Authors: Yuan J, Chen Z, Ding S, Zhang Q, Jia Y

Abstract

In this paper, a former developed Environmental Multimedia Modeling System (EMMS) combining with risk assessment Monte Carlo Method (MCM) was further used for exploring the interaction between groundwater and surface water. When using this EMMS-MCM simulation, this paper concentrate on combining several influencing factors on its permeability coefficient and other parameters, such as hydraulic conductivity, density, recharge, layers, and depth. Those influencing factors are key factors to the uncertain natural geological media and hydrographical factors, causing big challenges related to the optimal allocation of water. Especially, the system working with an EMMS-MCM simulation combined with Risk Quotient (RQ) will be the source of quantitative analysis and evaluation of environmental risk hazards, and the environmental risk hazards are within the acceptable range when considering optimal water allocation. The EMMS-MCM is verified and analyzed by comparing the data of hazardous sites with the investigation results considering those influencing factors. A case study of benzene emissions from Trail Road Landfill Site shows that the upper and middle aquifers flow in the northwest direction. In the south and near the west of the Trail Road landfill, groundwater flows north. About 60% of the predicted concentration of benzene falls within the range of 1.15E-6 to 2.65E-6 kg/m3 . RQ risk assessment for the groundwater indicates that risk level decrease from 2016 to 2026. The use of EMMS-MCM simulation will help to make hazardous field tests and future environmental management as reasonable as possible and enable one to predict the possible consequences of hazardous groundwater contamination after considering some water allocation factors. The integration of the EMMS-MCM and RQ will be the best tool for a faster and more accurate assessment of the long-term risks to pollutant diffusion areas, especially surface and groundwater environmental management. This article is protected by copyright. All rights reserved.

PMID: 33410257 [PubMed - as supplied by publisher]




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