Estimating downwind concentrations of viable airborne microorganisms in dynamic atmospheric conditions.
A Gaussian plume model has been modified to include an airborne microbial survival term that is a best-fit function of laboratory experimental data of weather variables. The model has been included in an algorithm using microbial source strength and local hourly mean weather data to drive the model...
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| Publicado en: | Appl Environ Microbiol |
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| Autores principales: | , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
American Society for Microbiology (ASM)
1987
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.govhttps://pmc.ncbi.nlm.nih.gov/articles/PMC203913/ https://ncbi.nlm.nih.govhttps://pubmed.ncbi.nlm.nih.gov/3662508/ https://ncbi.nlm.nih.govhttps://doi.org/10.1128/aem.53.7.1580-1583.1987 |
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