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Research on Evaluation of Climate Comfort in Northwest China under Climate Change

Author

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  • Xuyang Yao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Mingjun Zhang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Yu Zhang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Hanyu Xiao

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

  • Jiaxin Wang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis, College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China)

Abstract

Based on the monthly observation data of major surface meteorological observatories in Northwest China from 1960 to 2019, this paper uses the temperature and humidity index (THI), wind efficiency index (WEI), and clothing index (ICL) to construct a comprehensive climate comfort index evaluation model. This model was used to quantitatively evaluate the change characteristics of climate comfort in Northwest China against the background of climate warming. The results show that the overall climate comfort index in Northwest China is on the rise. In terms of space, an increase in the climate comfort index means an increase in the comfort zone, with the largest increase in the southeastern part of Gansu Province and the southern part of Shaanxi Province. The trend of change is that the increase in the north is greater than that in the south, and the higher the latitude, the greater the change. The space range of the comfort zone and the sub-comfort zone is generally expanding, and the climate is gradually becoming more comfortable. In terms of time, an increase in the climate comfort index means an increase in the climate comfort period, and the annual comfort index shows an increasing trend. The comfort period is mostly distributed in summer, with the most suitable cities in May and September, followed by June.

Suggested Citation

  • Xuyang Yao & Mingjun Zhang & Yu Zhang & Hanyu Xiao & Jiaxin Wang, 2021. "Research on Evaluation of Climate Comfort in Northwest China under Climate Change," Sustainability, MDPI, vol. 13(18), pages 1-20, September.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:18:p:10111-:d:632379
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    References listed on IDEAS

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    1. Richardson, Robert B. & Loomis, John B., 2004. "Adaptive recreation planning and climate change: a contingent visitation approach," Ecological Economics, Elsevier, vol. 50(1-2), pages 83-99, September.
    2. Shilong Piao & Philippe Ciais & Yao Huang & Zehao Shen & Shushi Peng & Junsheng Li & Liping Zhou & Hongyan Liu & Yuecun Ma & Yihui Ding & Pierre Friedlingstein & Chunzhen Liu & Kun Tan & Yongqiang Yu , 2010. "The impacts of climate change on water resources and agriculture in China," Nature, Nature, vol. 467(7311), pages 43-51, September.
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    1. Hao Mei & Jin Yang & Mingshun Xiang & Xiaofeng Yang & Chunjian Wang & Wenheng Li & Suhua Yang, 2022. "Evaluation and Optimization Model of Rural Settlement Habitability in the Upper Reaches of the Minjiang River, China," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    2. Jinkui Wu & Tian Jin & Yancong Wu & Yongjian Ding & Yaqiong Mu & Di Zeng, 2022. "The Variation of UTCI with the Background of Climate Change and Its Implications for Tourism in a Complicated Climate Region in Western China," Sustainability, MDPI, vol. 14(22), pages 1-22, November.

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