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Mapping summer tourism climate resources in China

  • Jiali Huang
  • Lihua LiEmail author
  • Chunping Tan
  • Jia Sun
  • Gang Wang
Original Paper

Abstract

Climate is an important tourism resource and a vital component of the attractiveness of a destination. Climate has a strong impact on supply and demand in the tourism industry. Most studies concerning the distribution of tourism climate resources are based on point measurements from meteorological stations. Tourism climate distribution maps with high resolution are required. In this paper, the tourism climate index (TCI) and spatial interpolation based on polynomial regression are used to analyze the distribution of summer tourism climate resources in China. The results indicate that there exists an obvious positive linear relationship between the TCI and latitude and a quadratic relationship between the TCI and elevation. The tourism climate is unfavorable in 8% of the study area, acceptable in 34% of the study area, good and very good in 36% of the study area, and excellent in 22% of the study area. From the perspective of climate, the places comfortable for summer tourism are mainly concentrated to the north of 35°N, on the second elevation step, and in the temperate continental climate zone. The tourism climate information provided is accurate at the 90% level for most areas.

Notes

Acknowledgements

We would like to thank Hongfei Du of the University of Electronic Science and Technology of China for his advice on the TCI model. We wish to acknowledge valuable discussions on the spatialization of the TCI model with Jing Li of the Northwest Institute of Eco-Environment and Resources, CAS, and Junli Xu of Yancheng Teachers University. We also thank Changjuan He of the Institute of Mountain Hazards and Environment, CAS, for digitizing relief boundaries and climate zone boundaries. The authors acknowledge anonymous reviewers and editors for improving the manuscript. Climate data were provided by the China Meteorological Data Service Center. The DEM was provided by the CGIAR Consortium for Spatial Information.

Funding information

This work was supported by the National Natural Science Foundation of China (Grant Nos. 41201603 and 41071091), Youth Science Foundation of Centre of Mountain Development, IMHE, CAS (2018).

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2018

Authors and Affiliations

  • Jiali Huang
    • 1
  • Lihua Li
    • 1
    Email author
  • Chunping Tan
    • 2
  • Jia Sun
    • 3
  • Gang Wang
    • 4
  1. 1.Centre of Mountain Development, Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina
  2. 2.Key Laboratory of Mountain Hazards and the Earth’s Surface process, Institute of Mountain Hazards and EnvironmentChinese Academy of SciencesChengduChina
  3. 3.Chongqing Climate Center, Chongqing Meteorological ServiceChongqingChina
  4. 4.Qinghai Hydrology and Water Resources Survey BureauXiningChina

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