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西江流域旅游气候舒适度的时空变化特征分析
引用本文:李艳兰,周美丽.西江流域旅游气候舒适度的时空变化特征分析[J].气象研究与应用,2014,35(3):65-70.
作者姓名:李艳兰  周美丽
作者单位:广西气候中心,广西南宁,530022
基金项目:中国气象局气候变化专项,广西自然科学基金项目
摘    要:采用人体舒适度指数分析方法,大样本利用西江流域13个主要旅游市(县)1961—2010年的气象站观测资料,统计分析了西江流域旅游气候舒适度的时空变化特征。结果表明:西江流域年舒适日数具有西部多于东部,山区多于河谷、平原的地域分布特点。西江流域北部多数市(县)适宜旅游的月份是3-5月、9-11月,南部多数市(县)适宜旅游的月份是3-5月、9-12月或10-12月。1961—2010年,西江流域冷不舒适日数均呈减少趋势,多数市(县)热不舒适日数呈增加趋势;北部多数市(县)年舒适日数呈显著增加趋势,南部部分市(县),如靖西、梧州、大新等地年舒适日数呈现增加趋势,而桂平、南宁、上思等地则呈现减少趋势。

关 键 词:西江流域  气候舒适度  时空分布  变化趋势

Analysis of spatio-temporal variation characteristics of tourism climate comfort degree in Xijiang River Basin
Li Yan-lan,Zhou Mei-li.Analysis of spatio-temporal variation characteristics of tourism climate comfort degree in Xijiang River Basin[J].Journal of Guangxi Meteorology,2014,35(3):65-70.
Authors:Li Yan-lan  Zhou Mei-li
Institution:(Guangxi Climate Center, Nanning 530022)
Abstract:Based on the observation data of 13 meteorological stations during 1961-2010 in Xijiang River basin, the spatiotemporal variation characteristics of tourism climate comfort degree in Xijiang River basin are analyzed by using the methods of statistics. The results show that the annual comfortable days in Xijiang River basin are more in west than that in east, and more in mountainous area than that in valley plain area. The agreeable months for tourism of most northern cities(counties) in Xijiang River basin are from March to May and September to November, but it has a different characteristics of that in southern cities( counties), which are from March to May, September to December or October to December. The cold uncomfortable days show a decrease but the hot uncomfortable days show an increase of most cities(counties) in the study area during 1961-2010. Meanwhile, the annual comfortable days of most northern cities(counties) and part southern cities(counties) in Xijiang River basin, such as Jingxi, Wuzhou, Daxin etc. presented increase trend while Guiping, Nanning, Shangsi etc. presented the opposite tendency over 1961-2010.
Keywords:Xijiang River Basin  climate comfort degree  Spatio-temporal distribution  Variation trend
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