Study on spatial-temporal differentiation of tourism climate comfort in Guangxi based on DEM
This work is based on digital elevation model (DEM)and 3S as well as conventional meteorologi-cal observation data of 74 points in Guangxi from 1981 to 2010.The objective is to analyze spatial distribu-tion characteristics of the temperature,relative humidity,wind velocity,temperature-humidity index,wind chill index,the clothing index and integrated tourism comfort in varied terrains.Combined with spatial dis-tribution of 3072A-grade scenic spots of Guangxi in 2015,this study obtains the following results.Because of time difference,the best travel time periods of most areas in Guangxi are January,February,March,Oc-tober,November,during which the temperature of these areas is maintained 15 -25 ℃,and not the rainy season.On climate comfort,April and December are more suitable for travel.Because Guangxi is located in the south of China,heavy rain and high temperature occur over the same periods in June,July and August which most unsuitable for travel.As for seasons,the order of climate comfort for tourism is winter> au-tumn > spring > summer.Because of spatial differences,the areas with tourism comfort period of 6 months only cover 0.12％ of Guangxi,scattered in the northwest of Xilin county in western Guangxi and the north of Ziyuan county in northern Guangxi,where no tourist spot above 2A level is present.The areas with tourism comfort period of 7 months are mainly in the west southwest and northwest of Guangxi,which lies in Ziyuan county of western Guangxi,Bobai county and Hepu county of southern Guangxi,and Wuzhou county and hezhou county of southern Guangxi,which cover 36.78％ of whole Guangxi area.There are 72 tourist spots above 2A level,accounting for 23.5％ the total number of tourist spots.The areas with a tourism comfort period of 8 months are the most widely distributed,which cover 63.1％ of entire Guangxi. There are 235 above 2A level tourist spots,accounting for 76.5％ the total number of tourist spots in 2015, mainly distributed in central,southern and northern Guangxi.
digital elevation modeltourism climate comfortspatial -temporal analysisGuangxi Zhuang Autonomous Region
国家科技期刊平台
NSTL
万方数据
维普
