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Journal of Mountain Science

, Volume 16, Issue 6, pp 1452–1469 | Cite as

Evaluation of tourism climate comfort in the Grand Shangri-La region

  • Qing-ping Cheng
  • Fang-lei ZhongEmail author
Article
  • 9 Downloads

Abstract

The Grand Shangri-La (GSL) region has strong international tourist appeal. GSL has considerable international eco-tourist potential as well as being attractive for leisure, vacation, health, explorative, and scientific research activities in addition to high-end tourism experiences. These factors could promote the development of its regional tourism. GSL has been identified as a key area for tourism development in China. In this study, we investigated tourism climate conditions in GSL from 1980 to 2016 using a tourism climate index (TCI). We found that through global warming, the number of annual and monthly good-weather days, as assessed with the TCI, showed an increase over most of GSL; that trend was especially true for very good, excellent, and ideal days. The optimal travel period was May–October. We obtained the same result using cluster heat maps, in which we categorized 31 studied meteorological stations into eight types. However, heavy rainfall tended to occur during that optimal period, and it was concentrated at certain times. The annual total number of comfortable days greater than 300 was mainly located in southern GSL. We observed significant correlations between monthly and annual excellent and ideal days with latitude and elevation; in particular, we identified a significant nonlinear correlation between excellent (and ideal) days and elevation.

Keywords

Grand Shangri-La region Evaluation Tourism climate comfort Cluster heat maps Temperature Precipitation 

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Notes

Acknowledgement

This study was supported by the National Natural Science Foundation of China (Grant No. 41571516, 41471448) and the Strategic Priority Research Program of the Chinese Academy of Sciences (Grant No. XDA19040503, XDA19040504). The meteorological data was provided by China Meteorological Data Sharing Service System of National Meteorological Information Center (https://doi.org/www.nmic.gov.cn/).

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Copyright information

© Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Northwest Institute of Eco-Environmental and ResourcesChinese Academy of SciencesLanzhouChina
  2. 2.University of Chinese Academy of SciencesBeijingChina
  3. 3.School of EconomicsLanzhou UniversityLanzhouChina

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