Relationship between Birch Pollen Counts and Meteorological Factors for 8 years in Sapporo

Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar. birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method wa...

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Published inNippon Jibi Inkoka Gakkai Kaiho Vol. 106; no. 6; pp. 705 - 709
Main Authors Narita, Shin-ichirou, Asakura, Kohji, Shirasaki, Hideaki, Yamamoto, Tetsuo, Watanabe, Kazumasa, Kanaizumi, Etsuko, Ogasawara, Hideki, Konno, Nobuhiro, Kataura, Akikatsu, Satoh, Jun, Himi, Tetsuo
Format Journal Article
LanguageEnglish
Japanese
Published Japan The Oto-Rhino-Laryngological Society of Japan, Inc 2003
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ISSN0030-6622
1883-0854
DOI10.3950/jibiinkoka.106.705

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Abstract Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar. birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method was used for studying correlations between annual quantities of birch pollen and the meteorological factors. A highly significant (P=0.00004) positive correlation was found between precipitation in February of the preceding year and annual birch pollen concentrations with the coefficient of determination. R2=0.950. These results suggest that atmospheric birch pollen counts can be predicted from the meteorological factor in the preceding year.
AbstractList Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar, birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method was used for studying correlations between annual quantities of birch pollen and the meteorological factors. A highly significant (P = 0.00004) positive correlation was found between precipitation in February of the preceding year and annual birch pollen concentrations with the coefficient of determination, R2 = 0.950. These results suggest that atmospheric birch pollen counts can be predicted from the meteorological factor in the preceding year.
Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar, birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method was used for studying correlations between annual quantities of birch pollen and the meteorological factors. A highly significant (P = 0.00004) positive correlation was found between precipitation in February of the preceding year and annual birch pollen concentrations with the coefficient of determination, R2 = 0.950. These results suggest that atmospheric birch pollen counts can be predicted from the meteorological factor in the preceding year.Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar, birch, grass, and mugwort are presented. There are wide year-to-year variations in quantities of birch pollens. Simple linear regression by the least squares method was used for studying correlations between annual quantities of birch pollen and the meteorological factors. A highly significant (P = 0.00004) positive correlation was found between precipitation in February of the preceding year and annual birch pollen concentrations with the coefficient of determination, R2 = 0.950. These results suggest that atmospheric birch pollen counts can be predicted from the meteorological factor in the preceding year.
Author Kataura, Akikatsu
Yamamoto, Tetsuo
Shirasaki, Hideaki
Konno, Nobuhiro
Ogasawara, Hideki
Narita, Shin-ichirou
Asakura, Kohji
Himi, Tetsuo
Watanabe, Kazumasa
Satoh, Jun
Kanaizumi, Etsuko
Author_xml – sequence: 1
  fullname: Narita, Shin-ichirou
  organization: Department of Otolaryngology, Hakodate Municipal Hospital
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  fullname: Watanabe, Kazumasa
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  fullname: Kanaizumi, Etsuko
  organization: Department of Otolaryngology, School of Medicine. Sapporo Medical University
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  fullname: Ogasawara, Hideki
  organization: Department of Otolaryngology, Bibai Municipal Hospital
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  fullname: Konno, Nobuhiro
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  fullname: Himi, Tetsuo
  organization: Department of Otolaryngology, School of Medicine. Sapporo Medical University
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References 5) 小笠原英樹,形浦昭克,朝倉光司,松井利憲:過去4年間における札幌地方のシラカンバ花粉の飛散と気象との関連,ならびに1997年の空中花粉飛散状況.アレルギー1999;48:726-736.
2) 増山敬祐,鮫島靖浩:スギ花粉飛散と患者受診予測.JOHNS 2002;18:23-26.
1) 山崎太:花粉症起因花粉の研究(第10報)-スギ花粉症と7月の旬別平均気温との相関.アレルギー1985;34:305-309.
10) 東英二.荒ひろみ,砂金秀充,榎本和子,朝倉光司,他:札幌医科大学鼻アレルギー外来10年間の臨床統計.耳鼻臨床1985;78:47-62.
17) 高矯裕一川島茂人:夏期気温の年次差を利用したスギ花粉総飛散数の新予測方法.アレルギー1999;48:1217-1221.
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3) 村山貢司:スギ花粉の飛散予測をめぐって.アレルギーの臨床1996;16:170-174.
15) 王主栄:スギ花粉生産量および飛散開始日と気象の関係,JOHNS1988;4:185-190.
4) 宗信夫,岸川禮子:スギ花粉飛散予報と予測式について.JOHNS 1988;4:197-200.
8) 我妻義則.松山隆治.能戸清,伊藤浩司:花粉症の研究.第6報札幌地方のシラカンバ花粉症.アレルギー1972;21:710-717.
14) 我妻義則,岸川禮子 松本脩三:札幌市における6年間(1992~1997年)の空中花粉飛散調査成績.アレルギー2001;50:467-472.
18) 間口四郎:アレルゲンを識る-シラカンバ.鼻アレルギーフロンテイア2002;2(2):44-50.
13) 山本哲夫,朝倉光司,形浦昭克:北海道のシラカバ花粉症とリンゴ果肉過敏症について.アレルギー1993;42:1701-1706.
6) 菅谷愛子:東京都港区における空中花粉分析.アレルギー1973;22:321-325.
7) Motulsky H:第31章,重回帰.数学いらずの医学統計学.津崎晃一監訳,メデイカルサイエンスインターナショナル:1997:265-269頁.
16) 平英彰,寺西秀豊.田幸子:平均気温,全天日射量及び着花指数を用いたスギ空中花粉総飛散数の予測方法に関する比較検討-富山県における事例.アレルギー1997;46:489-495.
9) 間口四郎,高木摂夫,吉田美果,福田諭,犬山征夫:シラカンバ花粉症-札幌における現況とハンノキ属との共通抗原性について.日耳鼻1993;96:1-9.
19) 湯田厚司,鵜飼幸太郎,坂倉康夫,谷秀司,松田ふき子,他:基準木の雄花着生状況によるスギ花粉飛散予測,アレルギー2002;51:577-582.
11) 成田慎一郎,朝倉光司,白崎英明,斎藤博子,小笠原英樹.他:札幌医大鼻アレルギー外来の臨床統計-第二報:原因抗原の検討.耳鼻臨床1995;補84:42-48.
References_xml – reference: 5) 小笠原英樹,形浦昭克,朝倉光司,松井利憲:過去4年間における札幌地方のシラカンバ花粉の飛散と気象との関連,ならびに1997年の空中花粉飛散状況.アレルギー1999;48:726-736.
– reference: 10) 東英二.荒ひろみ,砂金秀充,榎本和子,朝倉光司,他:札幌医科大学鼻アレルギー外来10年間の臨床統計.耳鼻臨床1985;78:47-62.
– reference: 1) 山崎太:花粉症起因花粉の研究(第10報)-スギ花粉症と7月の旬別平均気温との相関.アレルギー1985;34:305-309.
– reference: 8) 我妻義則.松山隆治.能戸清,伊藤浩司:花粉症の研究.第6報札幌地方のシラカンバ花粉症.アレルギー1972;21:710-717.
– reference: 12) 北海道水産林務部:樹種別蓄積.北海道林業統計(各年度版).北海道発行.
– reference: 13) 山本哲夫,朝倉光司,形浦昭克:北海道のシラカバ花粉症とリンゴ果肉過敏症について.アレルギー1993;42:1701-1706.
– reference: 4) 宗信夫,岸川禮子:スギ花粉飛散予報と予測式について.JOHNS 1988;4:197-200.
– reference: 6) 菅谷愛子:東京都港区における空中花粉分析.アレルギー1973;22:321-325.
– reference: 7) Motulsky H:第31章,重回帰.数学いらずの医学統計学.津崎晃一監訳,メデイカルサイエンスインターナショナル:1997:265-269頁.
– reference: 15) 王主栄:スギ花粉生産量および飛散開始日と気象の関係,JOHNS1988;4:185-190.
– reference: 3) 村山貢司:スギ花粉の飛散予測をめぐって.アレルギーの臨床1996;16:170-174.
– reference: 16) 平英彰,寺西秀豊.田幸子:平均気温,全天日射量及び着花指数を用いたスギ空中花粉総飛散数の予測方法に関する比較検討-富山県における事例.アレルギー1997;46:489-495.
– reference: 18) 間口四郎:アレルゲンを識る-シラカンバ.鼻アレルギーフロンテイア2002;2(2):44-50.
– reference: 14) 我妻義則,岸川禮子 松本脩三:札幌市における6年間(1992~1997年)の空中花粉飛散調査成績.アレルギー2001;50:467-472.
– reference: 2) 増山敬祐,鮫島靖浩:スギ花粉飛散と患者受診予測.JOHNS 2002;18:23-26.
– reference: 11) 成田慎一郎,朝倉光司,白崎英明,斎藤博子,小笠原英樹.他:札幌医大鼻アレルギー外来の臨床統計-第二報:原因抗原の検討.耳鼻臨床1995;補84:42-48.
– reference: 17) 高矯裕一川島茂人:夏期気温の年次差を利用したスギ花粉総飛散数の新予測方法.アレルギー1999;48:1217-1221.
– reference: 9) 間口四郎,高木摂夫,吉田美果,福田諭,犬山征夫:シラカンバ花粉症-札幌における現況とハンノキ属との共通抗原性について.日耳鼻1993;96:1-9.
– reference: 19) 湯田厚司,鵜飼幸太郎,坂倉康夫,谷秀司,松田ふき子,他:基準木の雄花着生状況によるスギ花粉飛散予測,アレルギー2002;51:577-582.
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Snippet Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar. birch, grass, and mugwort...
Occurrence of airborne pollen in Sapporo was studied for the 8 years between 1995 and 2002. Observations on pollen seasons of cedar, birch, grass, and mugwort...
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SubjectTerms Air Pollutants - analysis
Betula
birch pollen count
Forecasting - methods
Japan
Meteorological Concepts
meteorological factor
Pollen
prediction method
Seasons
Time Factors
Title Relationship between Birch Pollen Counts and Meteorological Factors for 8 years in Sapporo
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