ESTIMATION OF DEVIATION INSIDE URBAN AREA FOR DAYTIME MAXIMUM OR NOCTURNAL MINIMUM TEMPERATURE, IN SUMMER WHICH BASED ON LOCAL OBSERVATORY AND GEOGRAPHICAL DATA

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  • TAKAYAMA Naru
    Assoc. Prof., Dept. of Environmental Engineering Faculty of Engineering, Osaka Institute of Technology, Dr.Agr.
  • YOSHIKOSHI Hisashi
    Researcher, Western Region Agricultural Research Center National Agriculture and Food Research Organization, Dr.Agr.
  • YAMAMOTO Haruhiko
    Prof., Dept. of Biological and Environmental Sciences Faculty of Agriculture, Yamaguchi University, Dr.Agr.
  • HARADA Yoko
    Postdoctoral fellow, Dept. of Biological and Environmental Sciences Faculty of Agriculture, Yamaguchi University, Dr.Agr.

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  • 夏季の大都市における昼間最高・夜間最低気温に現れる都市内気温偏差の推定
  • カキ ノ ダイトシ ニ オケル ヒルマ サイコウ ・ ヤカン サイテイ キオン ニ アラワレル トシ ナイ キオン ヘンサ ノ スイテイ

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Abstract

 In this study, we aimed clarify the relationship between a deviation of temperature which is occurred in sub-city scale and some elements due to weather or geography, in Fukuoka City. Routine observation of air temperature was performed during from August 1 to August 31 in 2010, at some greening park and along some road. Some land cover elements which could act as a cooling or warming effect were defined as the land cover elements, by using Geographic Information System (GIS). We analyzed a relationship between the land cover elements and a deviation of temperature with sub-city scale, by using multiple regression analysis. Daytime maximum temperature observed at Fukuoka district meteorological observatory, approximately represented an average inside urban study area, although its correlation was lower in sea-breeze days. In urban area of Fukuoka city under sea-breeze days, daytime maximum temperature tended to rise, in a place where is far from seaside and a higher urbanization rate area however, its tendency had been suppressed on river or greening park. Nocturnal minimum temperature was lower in inland area, and its tendency became more remarkable as a greening area is larger. Also, the multiple regression models were more robust than for a daytime maximum temperature. This indicates that "cool island effect" which occurs as lower temperature around greening place would be appeared locally and significantly.

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