Full-Text Search:
Home|Journal Papers|About CNKI|User Service|FAQ|Contact Us|中文
《Journal of Fujian Forestry Science and Technology》 2019-02
Add to Favorite Get Latest Update

Climate Suitability Evaluation of Mountain Tourism in Qiandongnan Guizhou

LI Ruijun;LONG Xianju;WU Xiaoli;Forest Project Office for World Bank Loan of Qiandongnan Autonomous Prefecture;Kaili Meteorological Service;QianDongNan National Polytechnic;  
According to climatic data for 1985—2010,temperature-humidity index and air temperature lapse rate are used to analyze spatial and temporal distribution characteristics of climate resources for mountain tourism in Qiandongnan Miao and Dong Autonomous Prefecture.The results show that:from the perspective of climate comfort degree for tourism,the suitable time for mountain tourism in Qiandongnan Miao and Dong Autonomous Prefecture is from March to November,among which the best time is April,May,September and October.The climate comfort range for mountain tourism during summer is above the altitude of 1100 m;the place with the altitude of over 1500 m is suitable for recuperation in mountains;technology supports are offered to rationally adjust tourism items and services and forge a region-wide tourist industry based on geographic and weather features in the Southeast of Guizhou Province.
【Fund】: 贵州省林业科研项目(黔东南州森林康养环境研究 黔林科合[2016]13号)
【CateGory Index】: F592.7
Download(CAJ format) Download(PDF format)
CAJViewer7.0 supports all the CNKI file formats; AdobeReader only supports the PDF format.
【Citations】
Chinese Journal Full-text Database 1 Hits
1 Wu Dui (Guangzhou Institute of Tropical and Marine Meteorology of China Meteorological Administration, Guangzhou 510080; Department of Atmospheric Science, Zhongshan University, Guangzhou 510275, China);Discussion on Various Formulas for Forecasting Human Comfort Index[J];气象科技;2003-06
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 LU Shan;WANG Baipeng;ZHANG Hongfang;Shaanxi Meteorological Service Center;Shaanxi Lighting Protect Center;;Variation Characteristics and Comprehensive Division of Climate Comfort Degree from 1971 to 2010 in Shaanxi Province[J];干旱气象;2015-06
2 Wu Bin;Yang Lihui;Liu Jingxiong;Fujian Climate Center;Fujian Meteorological Service Center;;Human Comfortability in Fuzhou Based on Different Temperature and Humidity Conditions[J];气象科技;2015-06
3 Li Yujiao;Yang Yunjie;Zhang Bin;Li Rong;Yuan Bo;Han Lin;Chengdu University of Information Technology;;Influence of Temperature and Humidity on Indoor and Outdoor Human Comfort under Different Weather Conditions[J];气象科技;2015-06
4 XIN Xuefei;HAN Lin;HUANG Jun;HU Yanyang;SHI Xingqiong;TAN Lei;Zhangjiajie Meteorological Bureau;Chengdu University of Information Technology;;Two Assessment Methods Comparison Application and Inspection of Human Comfort in Zhangjiajie National Forest Park[J];高原山地气象研究;2015-04
5 SUN Meishu;LI Shan;School of Geographic Sciences, East China Normal University;Key Laboratory of Geographic Information Science, Ministry of education;;Empirical Indices Evaluating Climate Comfortableness: Review and Prospect[J];旅游学刊;2015-12
6 NIU Kai;LI Hua-wei;HE Rui-zhen;MU Bo;TIAN Guo-hang;College of Forestry,Henan Agricultural University;;Effects of Different Spatial Structure of Urban Greenbelts on Air Temperature and Relative Humidity in Zhengzhou[J];西北林学院学报;2015-06
7 LI Jie;Hubei University of Arts and Science , Laboratory of Geographic Information Science;;The Habitat Suitability Assessment of the Natural Environment in Hubei Province Based on GIS Technology[J];湖北农业科学;2015-21
8 Fang Xiaoyi;Li Lei;Du Wupeng;Dang Bing;Cheng Chen;Shu Wenjun;Beijing Municipal Climate Center,Beijing Meteorological Service;Shenzhen National Climate Observatory;Shenzhen Key Laboratory of Severe Weather in Southern China;;Comparative Analysis of Urban and Rural Climate Comfortabilities in Beijing in Past 30 Years[J];气象科技;2015-05
9 TIAN Shi-qin;LIU Zhao-wu;SUN Ya-li;Binzhou Meteorological Bureau;;Analysis of the Comfort Index of Tourism Climate in Binzhou[J];山西师范大学学报(自然科学版);2015-03
10 WANG Huizhong;LIU Ke;ZHOU Jia;Electrical Engineering and Information Engineering, Lanzhou University of Technology;Advanced Control Laboratory of Gansu Industrial Processes;;Power System Load Forecasting Based on Comprehensive Meteorological Index and Date Type[J];电网与清洁能源;2015-09
©2006 Tsinghua Tongfang Knowledge Network Technology Co., Ltd.(Beijing)(TTKN) All rights reserved