Bedoukian   RussellIPM   RussellIPM   Piezoelectric Micro-Sprayer


Home
Animal Taxa
Plant Taxa
Semiochemicals
Floral Compounds
Semiochemical Detail
Semiochemicals & Taxa
Synthesis
Control
Invasive spp.
References

Abstract

Guide

Alphascents
Pherobio
InsectScience
E-Econex
Counterpart-Semiochemicals
Print
Email to a Friend
Kindly Donate for The Pherobase

« Previous AbstractDopant Site Engineering on 2D Co(3)O(4) Enables Enhanced Toluene Oxidation in a Wide Temperature Range    Next AbstractOenological characteristics of two indigenous Starmerella bacillaris strains isolated from Chinese wine regions »

Environ Pollut


Title:Health risk assessment of volatile organic compounds (VOCs) emitted from landfill working surface via dispersion simulation enhanced by probability analysis
Author(s):Li R; Yuan J; Li X; Zhao S; Lu W; Wang H; Zhao Y;
Address:"School of Environment, Beijing Normal University, Beijing, 100875, PR China; State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin Academy of Eco-environmental Sciences, Tianjin 300191, PR China. School of Environment, Beijing Normal University, Beijing, 100875, PR China. School of Environment, Tsinghua University, Beijing, 100084, PR China. School of Environment, Beijing Normal University, Beijing, 100875, PR China; State Environmental Protection Key Laboratory of Odor Pollution Control, Tianjin Academy of Eco-environmental Sciences, Tianjin 300191, PR China. Electronic address: yanzhao@bnu.edu.cn"
Journal Title:Environ Pollut
Year:2023
Volume:20221028
Issue:Pt 1
Page Number:120535 -
DOI: 10.1016/j.envpol.2022.120535
ISSN/ISBN:1873-6424 (Electronic) 0269-7491 (Linking)
Abstract:"The assessment of the health risks of volatile organic compounds (VOCs) emitted from landfills via dispersion model is crucial but also challenging because of remarkable variations in their emissions and meteorological conditions. This study used a probabilistic approach for the assessment of the health risks of typical VOCs by combining artificial neural network models for emission rates and a numerical dispersion model enhanced by probability analysis. A total of 8753 rounds of simulation were performed with distributions of waste compositions and the valid hourly meteorological conditions for 1 year. The concentration distributions and ranges of the typical health-risky VOCs after dispersion were analyzed with 95% probability. The individual and cumulative non-carcinogenic risks of the typical VOCs were acceptable with all values less than 1 in the whole study domain. For individual carcinogenic risks, only ethylbenzene, benzene, chloroform, and 1, 2-dichloroethane at extreme concentrations showed minor or moderate risks with a probability of 0.1%-1% and an impact distance of 650-3000 m at specific directions. The cumulative carcinogenic risks were also acceptable at 95% probability in the whole study domain, but exceeded 1 x 10(-6) or even 1 x 10(-4) at some extreme conditions, especially within the landfill area. The vertical patterns of the health risks with height initially increased, and then decreased rapidly, and the peak values were observed around the height of the emission source. The dispersion simulation and health risk assessment of the typical health-risky VOCs enhanced by Monte Carlo can accurately reflect their probabilistic dispersion patterns and health risks to surrounding residents from both spatial and temporal dimensions. With this approach, this study can provide important scientific basis and technical support for the health risk assessment and management of landfills"
Keywords:*Volatile Organic Compounds/analysis *Air Pollutants/analysis Environmental Monitoring Waste Disposal Facilities Risk Assessment China Dispersion simulation Human health risk Landfill Monte Carlo.VOCs;
Notes:"MedlineLi, Rong Yuan, Jiayi Li, Xiang Zhao, Silan Lu, Wenjing Wang, Hongtao Zhao, Yan eng England 2022/11/08 Environ Pollut. 2023 Jan 1; 316(Pt 1):120535. doi: 10.1016/j.envpol.2022.120535. Epub 2022 Oct 28"

 
Back to top
 
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 22-11-2024