Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China
The tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-06-01
|
| Series: | Atmosphere |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2073-4433/12/7/823 |
| _version_ | 1827688687247294464 |
|---|---|
| author | Junyuan Zhao Shengjie Wang |
| author_facet | Junyuan Zhao Shengjie Wang |
| author_sort | Junyuan Zhao |
| collection | DOAJ |
| description | The tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and an overall comfort improvement trend (interannual variation). The change of tourism climate comfort days was similar to the change of the index, especially in the months with a low comfort level. In space, the distribution of the TCCI gradually increased from northeast to southwest, and the area with a high comfort level also increased over time. Meanwhile, it also showed the spatial distribution of months with a low comfort level, which provides reliable information for tourists to use when choosing tourist destinations across all periods of the year. The TCCI was classified by hierarchical classification, and principal components were extracted to explore the main climate factors controlling different types of TCCIs and the relationship between them, and large-scale atmospheric–oceanic variability. According to the temporal change trend and correlation, the long-term change trend of tourism climate comfort was predicted, which will provide a scientific basis for tourism planners to choose tourist destinations. |
| first_indexed | 2024-03-10T10:01:12Z |
| format | Article |
| id | doaj.art-fa18225cb7ca4b17b6bafb901992299d |
| institution | Directory Open Access Journal |
| issn | 2073-4433 |
| language | English |
| last_indexed | 2024-03-10T10:01:12Z |
| publishDate | 2021-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Atmosphere |
| spelling | doaj.art-fa18225cb7ca4b17b6bafb901992299d2023-11-22T01:57:22ZengMDPI AGAtmosphere2073-44332021-06-0112782310.3390/atmos12070823Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, ChinaJunyuan Zhao0Shengjie Wang1School of Business, Xinyang College, West Section of Xinqi Avenue, Shihe District, Xinyang 464000, ChinaCollege of Geography and Environment Science, Northwest Normal University, No. 967, Anning East Road, Lanzhou 730070, ChinaThe tourism comprehensive climate comfort index (TCCI) was used to evaluate the tourism climate comfort in Henan Province in the last 61 years, and its future development trend is predicted. The results showed that the temporal variation of the TCCI had a “double peak” type (monthly variation), and an overall comfort improvement trend (interannual variation). The change of tourism climate comfort days was similar to the change of the index, especially in the months with a low comfort level. In space, the distribution of the TCCI gradually increased from northeast to southwest, and the area with a high comfort level also increased over time. Meanwhile, it also showed the spatial distribution of months with a low comfort level, which provides reliable information for tourists to use when choosing tourist destinations across all periods of the year. The TCCI was classified by hierarchical classification, and principal components were extracted to explore the main climate factors controlling different types of TCCIs and the relationship between them, and large-scale atmospheric–oceanic variability. According to the temporal change trend and correlation, the long-term change trend of tourism climate comfort was predicted, which will provide a scientific basis for tourism planners to choose tourist destinations.https://www.mdpi.com/2073-4433/12/7/823tourism comprehensive climate comfort indextemporal and spatial variationdriving factorstrend forecast |
| spellingShingle | Junyuan Zhao Shengjie Wang Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China Atmosphere tourism comprehensive climate comfort index temporal and spatial variation driving factors trend forecast |
| title | Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China |
| title_full | Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China |
| title_fullStr | Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China |
| title_full_unstemmed | Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China |
| title_short | Spatio-Temporal Evolution and Prediction of Tourism Comprehensive Climate Comfort in Henan Province, China |
| title_sort | spatio temporal evolution and prediction of tourism comprehensive climate comfort in henan province china |
| topic | tourism comprehensive climate comfort index temporal and spatial variation driving factors trend forecast |
| url | https://www.mdpi.com/2073-4433/12/7/823 |
| work_keys_str_mv | AT junyuanzhao spatiotemporalevolutionandpredictionoftourismcomprehensiveclimatecomfortinhenanprovincechina AT shengjiewang spatiotemporalevolutionandpredictionoftourismcomprehensiveclimatecomfortinhenanprovincechina |