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CrossRef Text and Data Mining |
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Survey of Airborne Fungi Levels in 24 Seasonal Divisions and Correlation Analysis with Meteorological Elements |
Myoung Nam Kim, Jin Young Hong, Jeong Min Lee, Ji Hee Park |
J. Conserv. Sci. 2019;35(6):652-663. Published online December 31, 2019 DOI: https://doi.org/10.12654/JCS.2019.35.6.08 |
Survey of Airborne Fungi Levels in 24 Seasonal Divisions and Correlation Analysis with Meteorological Elements An improvement of seasonal climate prediction by regularized canonical correlation analysis Annual and seasonal trends in Actual Evaporation over different meteorological sub-divisions in India using GLEAM data Functional relations of airborne fungi to meteorological and pollution factors in a Mediterranean urban environment Volumetric Aerobiological Survey of Conidial Fungi in the North-East Netherlands. Seasonal Difference of Airborne Bacteria and Fungi in Commuter Buses Seasonal Variation of Airborne Fungi of the Tiantishan Grottoes and Western Xia Museum, Wuwei, China Formulation and survey of ALE method in nonlinear solid mechanics Spatio-seasonal variation, distribution, levels, and risk assessment of airborne asbestos concentration in the most industrial city of Iran: effect of meteorological factors A year-round study on functional relationships of airborne fungi with meteorological factors |