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Statistical Analysis on Daily Variations of Birch Pollen Amount with Climatic Variables in Sapporo

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Title: Statistical Analysis on Daily Variations of Birch Pollen Amount with Climatic Variables in Sapporo
Authors: Inatsu, Masaru Browse this author →KAKEN DB
Kobayashi, Satoshi Browse this author
Takeuchi, Shinji Browse this author
Ohmori, Anna Browse this author
Issue Date: 27-Oct-2014
Publisher: 日本気象学会
Journal Title: SOLA
Volume: 10
Start Page: 172
End Page: 175
Publisher DOI: 10.2151/sola.2014-036
Abstract: Birch pollen mainly causes springtime allergy-related diseases, birch pollinoses, widely known in high-latitude countries. By utilizing the observation in Sapporo from 2001 to 2011, we found that the daily pollen amount almost follows the log-normal distribution with its characteristic time-scale of several days. The pollen amount itself was therefore taken as a major predictor for its day-to-day variations. Another predictor was chosen from climatic variables that were possibly related to the pollen amount such as temperature, rainfall, sunshine duration, wind, relative humidity, rainfall, and daily temperature difference to explain daily variations of the pollen amount. A resulting statistical equation with two independent predictors of lagged pollen amount and diurnal temperature range based on the multiple regression analysis provided a reasonable hindcast prediction with the correlation coeffcient with observation being 0.80. Moreover, the equation was better fitted to the observations in abundant years than in poor-yield years.
Type: article
Appears in Collections:理学院・理学研究院 (Graduate School of Science / Faculty of Science) > 雑誌発表論文等 (Peer-reviewed Journal Articles, etc)

Submitter: 稲津 將

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