Relationship between airborne pollen concentrations and meteorological parameters in Ulsan, Korea

Relationship between Pollen Diseases and Meteorological Factors in Japan

Pollen counts have been increasing and patients suffering from pollen allergy now exceed 14% of the population of Japan. The amount of pollen has a positive relationship with the air temperatures and solar radiation of the preceding summer. Using this relationship, pollen counts of the next season are estimated roughly. According to the results of cedar flower observations in late autumn, the f...

Spatial Variation of the Relationship between PM2.5 Concentrations and Meteorological Parameters in China

Epidemiological studies around the world have reported that fine particulate matter (PM2.5) is closely associated with human health. The distribution of PM2.5 concentrations is influenced by multiple geographic and socioeconomic factors. Using a remote-sensing-derived PM2.5 dataset, this paper explores the relationship between PM2.5 concentrations and meteorological parameters and their spatial...

The effect of meteorological factors on airborne Betula pollen concentrations in Lublin (Poland)

The present study investigated the pattern of the birch atmospheric pollen seasons in Lublin in the period 2001-2010. Pollen monitoring was conducted using a Lanzoni VPPS 2000 sampler. The atmospheric pollen seasons were determined with the 98% method. Regression analysis was used to determine correlations between meteorological conditions and the pattern of the birch pollen season. On average,...

Influence of meteorological parameters in hourly patterns of grass (Poaceae) pollen concentrations.

Hourly grass pollen concentrations were recorded over a 10-year study period at an aerobiological station of Badajoz (SW Spain). The record was carried out by means of a Burkard spore trap. Meteorological data were used to find correlation with the hourly patterns in the months of principal concentration. The observed variations were found to be due to independent contributions of patterns corr...

Neuro-Fuzzy prediction of airborne pollen concentrations