Atmospheric mold spore counts in relation to meteorological parameters
| Autor: | R. K. Katial, Yiming Zhang, Richard H. Jones, P. D. Dyer |
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| Rok vydání: | 1997 |
| Předmět: |
Atmospheric Science
Meteorological Concepts Health Toxicology and Mutagenesis Air Microbiology Colony Count Microbial Models Biological Wind speed Humans Relative humidity Autoregressive integrated moving average Time series Ecology biology fungi Alternaria food and beverages Regression analysis Spores Fungal biology.organism_classification Spore Climatology Environmental science Mitosporic Fungi Seasons Cladosporium |
| Zdroj: | International Journal of Biometeorology. 41:17-22 |
| ISSN: | 1432-1254 0020-7128 |
| DOI: | 10.1007/s004840050048 |
| Popis: | Fungal spore counts of Cladosporium, Alternaria, and Epicoccum were studied during 8 years in Denver, Colorado. Fungal spore counts were obtained daily during the pollinating season by a Rotorod sampler. Weather data were obtained from the National Climatic Data Center. Daily averages of temperature, relative humidity, daily precipitation, barometric pressure, and wind speed were studied. A time series analysis was performed on the data to mathematically model the spore counts in relation to weather parameters. Using SAS PROC ARIMA software, a regression analysis was performed, regressing the spore counts on the weather variables assuming an autoregressive moving average (ARMA) error structure. Cladosporium was found to be positively correlated (P |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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