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1.
J Environ Monit ; 12(4): 973-80, 2010 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-20383380

RESUMO

Activity based sampling (ABS) is typically performed to assess inhalation exposure to particulate contaminants known to have low, heterogeneous concentrations on a surface. Activity based sampling determines the contaminant concentration in a person's breathing zone as they perform a scripted activity, such as raking a specified area of soil, while wearing appropriate sample collection instrumentation. As an alternative approach, a probabilistic model based on aerosol physics and fluid dynamics was developed to predict the breathing zone concentration of a particulate contaminant emitted from a surface during activities of variable intensity. The model predicted the particle emission rate, tracked particle transport to the breathing zone, and calculated the breathing zone concentration for two scenarios. One scenario used an Eulerian model based on a Gaussian concentration distribution to quantify aerosol exposure in the trailing wake of a moving object. The second scenario modeled exposure in a quiescent environment. A Lagrangian model tracked the cumulative number of individual particles entering the breathing zone volume at a particular time. A Monte Carlo simulation calculated the breathing zone concentration probability distribution for each scenario. Both models predicted probability distributions of asbestos breathing zone concentrations that bracketed experimentally measured personal exposure concentrations. Modeled breathing zone concentrations were statistically correlated (p-value < 0.001) with independently collected ABS concentrations. The linear regression slope of 0.70 and intercept of 0.03 were influenced by the quantity of ABS data collected and model parameter input distributions at a site broader than those at other sites.


Assuntos
Amianto/análise , Exposição por Inalação , Modelos Teóricos , Material Particulado/análise , Método de Monte Carlo
2.
J Air Waste Manag Assoc ; 60(3): 294-301, 2010 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-20397559

RESUMO

The releasable asbestos field sampler (RAFS) was developed as an alternative to activity-based sampling (ABS; personal breathing zone sampling during a simulated activity). The RAFS utilizes a raking motion to provide the energy that releases particulate material from the soil and aerosolizes the asbestos fibers. A gentle airflow laterally transports the generated aerosol inside of a tunnel to one end where filter sampling cassettes or real-time instruments are used to measure asbestos and particulate release. The RAFS was tested in a series of laboratory experiments to validate its performance and then was deployed for field trials in asbestos-contaminated soil at multiple geographical locations. Laboratory data showed the RAFS generated repeatable and representative aerosol particulate concentrations. Field tests showed the RAFS aerosolized asbestos concentrations were statistically correlated with total particle concentrations. Field tests also showed the RAFS aerosolized asbestos concentrations were statistically correlated with asbestos concentrations measured by multiple ABS tests with different activities, different soil/environmental conditions, and at different geographical locations. RAFS provides a direct measurement of asbestos emission from soil in situ without consideration of meteorology and personal activity on the asbestos transport to the breathing zone.


Assuntos
Amianto/análise , Exposição por Inalação/análise , Aerossóis , Humanos , Solo/análise
3.
J Occup Environ Hyg ; 6(1): 62-72, 2009 Jan.
Artigo em Inglês | MEDLINE | ID: mdl-19037817

RESUMO

To measure airborne asbestos and other fibers, an air sample must represent the actual number and size of fibers. Typically, mixed cellulose ester (MCE, 0.45 or 0.8 microm pore size) and, to a much lesser extent, capillary-pore polycarbonate (PC, 0.4 microm pore size) membrane filters are used to collect airborne asbestos for count measurement and fiber size analysis. In this research study, chrysotile asbestos (fibers both shorter and longer than 5 microm) were generated in an aerosol chamber and sampled by 25 mm diameter MCE filter media to compare the fiber retention efficiency of 0.45 microm pore size filters vs. 0.8 microm pore size filter media. In addition, the effect of plasma etching times on fiber densities was evaluated. This study demonstrated a significant difference in fiber retention efficiency between 0.45 microm and 0.8 microm pore size MCE filters for asbestos aerosols (structures longer than or equal to 0.5 microm length). The fiber retention efficiency of a 0.45 microm pore size MCE filter is statistically significantly higher than that of the 0.8 microm pore size MCE filter. However, for asbestos structures longer than 5 microm, there is no statistically significant difference between the fiber retention efficiencies of the 0.45 microm and 0.8 microm pore size MCE filters. The mean density of asbestos fibers (longer than or equal to 0.5 microm) increased with etching time. Doubling the etching time increased the asbestos filter loading in this study by an average of 13%. The amount of plasma etching time had no effect on the filter loading for fibers longer than 5 microm. Many asbestos exposure risk models attribute health effects to fibers longer than 5 microm. In these models, both the 0.45 microm and 0.8 microm pore size MCE filter can produce suitable estimates of the airborne asbestos concentrations. However, some models suggest a more significant role for asbestos fibers shorter than 5 microm. Exposure monitoring for these models should consider only the 0.45 microm pore size MCE filters as recommended by the U.S. Environmental Protection Agency Asbestos Hazard Emergency Response Act (AHERA) protocol and other methods.


Assuntos
Poluentes Atmosféricos/análise , Amianto/análise , Monitoramento Ambiental/métodos , Filtração/instrumentação , Poluentes Atmosféricos/química , Amianto/química , Exposição Ambiental/análise , Monitoramento Ambiental/instrumentação , Filtração/métodos , Microscopia Eletrônica de Varredura , Microscopia Eletrônica de Transmissão , Tamanho da Partícula
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