干旱区研究

Arid Zone Research >

2025 , Vol. 42 >Issue 6: 1093 - 1102

DOI: https://doi.org/10.13866/j.azr.2025.06.12

Ecology and Environment

Evaluation of climate comfort for red tourism in the Shaanxi-Gansu-Ningxia Region based on GIS

  • JIN Shuang ,
  • REN Jiahui ,
  • FENG Fang ,
  • HUANG Qiaohua ,
  • HE Ping
Expand
  • School of Geography, Geomatics and Planning, Jiangsu Normal University, Xuzhou 221116, Jiangsu, China

Received date: 2024-08-19

  Revised date: 2024-11-05

  Online published: 2025-06-11

Fold

Abstract

Assessing climate comfort in the Shaanxi-Gansu-Ningxia region is essential for the development of red tourism and the promotion of ecological sustainability. Using daily meteorological data from 1953 to 2020, including average temperature, wind speed, and relative humidity, this study applies a comprehensive climate comfort evaluation model integrated with GIS-based spatial interpolation and zoning methods to systematically analyze the spatiotemporal distribution of climate comfort in the region. The results show that, temporally, the climate is generally comfortable from May to September, while discomfort prevails from December to February. Spatially, northern Shaanxi exhibits relatively favorable climatic conditions, whereas the southwestern Xihaigu region is less suitable in terms of climate comfort. Under the influence of global warming, the annual average number of comfortable days has increased, whereas the number of uncomfortable days has significantly decreased since 2000. Comprehensive zoning results indicate that southwestern and central high-altitude areas experience lower comfort levels, while other regions remain relatively favorable. Further analysis reveals that for each unit change in the climate comfort index, the red tourism visitor flow index changes by 0.593%. Notably, Yan’an, due to its rich red tourism resources and favorable climate, has a significantly higher attractiveness index than other regions. Future red tourism planning should be dynamically optimized to address climate change and evolving tourist preferences. This study offers a scientific basis for regional tourism development and the sustainable advancement of red tourism. A scientific reference for regional tourism development and the sustainable advancement of red tourism activities.

Key words： climate comfort degree; red tourism; Shaanxi-Gansu-Ningxia Region; comprehensive zoning; gravity model

Cite this article

JIN Shuang , REN Jiahui , FENG Fang , HUANG Qiaohua , HE Ping . Evaluation of climate comfort for red tourism in the Shaanxi-Gansu-Ningxia Region based on GIS[J]. Arid Zone Research, 2025 , 42(6) : 1093 -1102 . DOI: 10.13866/j.azr.2025.06.12

References

[1] IPCC. Climate change 2021: The Physical Science Basis[R]. Cambridge University: IPCC, 2021.
[2] Brunt D. Climate and human comfort[J]. Nature, 1945, 155(3941): 559-564.
[3] Yao X Y, Zhang M J, Zhang Y, et al. Research on evaluation of climate comfort in Northwest China under climate change[J]. Sustainability, 2021, 13: 10111.
[4] Zhang J T, Ren G Y, You Q L. Detection and projection of climatic comfort changes in China’s mainland in a warming world[J]. Advances in Climate Change Research, 2022, 13(4): 507-516.
[5] Solaimani K, Ahmadi S B, Shokrian F. The spatiotemporal trend changes of extreme temperature-humidity variables and their impact on climatic comfort changes[J]. Ecological Indicators, 2024, 158: 111629.
[6] 张辉. 旅游气候舒适度评价研究——以内蒙古自治区为例[D]. 上海: 上海师范大学, 2013.
  [Zhang Hui. Tourism Climate Comfortableness Evaluation: A Case Study of Inner Mongolia[D]. Shanghai: Shanghai Normal University, 2013.]
[7] Cheng Q P, Zhong F L. Evaluation of tourism climate comfort in the Grand Shangri-La region[J]. Journal of Mountain Science, 2019, 16(6): 1452-1469.
[8] 荣培君, 张荣荣, 赵现红. 中国气候舒适度时空演变及其对旅游业的影响[J]. 世界地理研究, 2024, 33(7): 139-149.
  [Rong Peijun, Zhang Rongrong, Zhao Xianhong. Spatial and temporal evolution of climate comfort index in China and its impact on tourism[J]. World Regional Studies, 2024, 33(7): 139-149.]
[9] 官景得, 王咏青, 孙银川, 等. 近39 a宁夏旅游气候适宜期及变化分析[J]. 干旱区地理, 2020, 43(2): 339-348.
  [Guan Jingde, Wang Yongqing, Sun Yinchuan, et al. Suitable period and change of tourism climate in Ningxia in the past 39 years[J]. Arid Land Geography, 2020, 43(2): 339-348.]
[10] 马丽君, 孙根年. 中国西部热点城市旅游气候舒适度[J]. 干旱区地理, 2009, 32(5): 791-797.
  [Ma Lijun, Sun Gennian. Evaluation of climate comfort index for tourism hot-spot cities in west China[J]. Arid Land Geography, 2009, 32(5): 791-797.]
[11] 陈海英, 安莉娟, 代海燕, 等. 乌兰察布市草原景区旅游气候舒适度评价[J]. 草业科学, 2024, 41(9): 2181-2189.
  [Chen Haiying, An Lijuan, Dai Haiyan, et al. Evaluation of tourism climate comfort of grassland scenic spots in Uanqab City[J]. Pratacultural Science, 2024, 41(9): 2181-2189.]
[12] 曹伟宏, 王淑新. 京津冀地区城市人居环境气候舒适性评价[J]. 冰川冻土, 2017, 39(2): 435-442.
  [Cao Weihong, Wang Shuxin. Evaluation of climate suitability for urban human settlement in Beijing-Hebei region[J]. Journal of Glaciology and Geocryology, 2017, 39(2): 435-442.]
[13] 胡琳, 胡淑兰, 苏静, 等. 陕西省人体舒适度变化及其对气象因子的响应[J]. 干旱区研究, 2019, 36(6): 1450-1456.
  [Hu Lin, Hu Shulan, Su Jing, et al. Variation of comfort index of human body and its response to meteorological factors in Shaanxi Province[J]. Arid Zone Research, 2019, 36(6): 1450-1456.]
[14] 曹伟宏, 何元庆, 李宗省, 等. 云南丽江旅游气候舒适度分析[J]. 冰川冻土, 2012, 34(1): 201-206.
  [Cao Weihong, He Yuanqing, Li Zongxing, et al. Evaluation of the tourism climate comfort index in Lijiang City, Yunnan[J]. Journal of Glaciology and Geocryology, 2012, 34(1): 201-206.]
[15] 张可心. 1981—2018年庆阳市气候舒适度特征分析及评价[J]. 干旱区地理, 2020, 43(5): 1270-1277.
  [Zhang Kexin. Analysis and evaluation of climate comfort characteristics in Qingyang from 1981 to 2018[J]. Arid Land Geography, 2020, 43(5): 1270-1277.]
[16] 任佳慧, 冯芳, 黄巧华, 等. 淮海经济区人居环境气候舒适性评价[J]. 江苏师范大学学报(自然科学版), 2023, 41(2): 67-71.
  [Ren Jiahui, Feng Fang, Huang Qiaohua, et al. Climate comfort assessment of human settlement environment in Huaihai Economic Zone[J]. Journal of Jiangsu Normal University (Natural Science Edition), 2023, 41(2): 67-71.]
[17] 张曼义, 丁国香, 华梦飞, 等. 安徽省气候舒适度评价及旅游资源潜力分析[J]. 海洋湖沼通报, 2022, 44(6): 89-96.
  [Zhang Manyi, Ding Guixiang, Hua Mengfei, et al. Evaluation of climate comfort analysis on tourism resources potential in Anhui Province[J]. Transactions of Oceanology and Limnology, 2022, 44(6): 89-96.]
[18] 王胜, 田红, 谢五三, 等. 近50年安徽省气候舒适度变化特征及区划研究[J]. 地理科学进展, 2012, 31(1): 40-45.
  [Wang Sheng, Tian Hong, Xie Wusan, et al. A study on variations and comprehensive zoning of climate comfort degree in Anhui Province in the past 50 years[J]. Progress in Geography, 2012, 31(1): 40-45.]
[19] 张群慧, 常亮, 顾小凡, 等. 1979—2020年柴达木盆地人体舒适度指数时空变化及趋势分析[J]. 干旱区研究, 2024, 41(8): 1300-1308.
  [Zhang Qunhui, Chang Liang, Gu Xiaofan, et al. Spatial-temporal variations and trends in the human body comfort index in the Qaidam Basin, China, during 1979-2020[J]. Arid Zone Research, 2024, 41(8): 1300-1308.]
[20] 李积宏, 周刊社, 张东东, 等. 西藏高原人体舒适度指数时空变化特征分析[J]. 干旱区地理, 2024, 47(6): 980-992.
  [Li Jihong, Zhou Kanshe, Zhang Dongdong, et al. Spatial and temporal variation characteristics of comfort index of human body in Xizang Plateau[J]. Arid Land Geography, 2024, 47(6): 980-992.]
[21] 高家骥, 李鸿奎, 白芝珍, 等. GIS支持下的东北三省人居环境气候舒适度分异及影响因素分析[J]. 测绘通报, 2022(6): 148-153.
  [Gao Jiaji, Li Hongkui, Bai Zhizhen, et al. Analysis of climate suitability pattern and influencing factors of human settlements in the three provinces of Northeast China based on GIS[J]. Bulletin of Surveying and Mapping, 2022(6): 148-153.]
[22] 曹开军, 杨兆萍, 孟现勇, 等. 基于栅格尺度的阿勒泰地区旅游气候舒适度评价[J]. 冰川冻土, 2015, 37(5): 1420-1427.
  [Cao Kaijun, Yang Zhaoping, Meng Xianyong, et al. An evaluation of tourism climate suitability in Altay Prefecture[J]. Journal of Glaciology and Geocryology, 2015, 37(5): 1420-1427.]
[23] 邱粲, 曹洁, 林隆超, 等. 基于GIS的山东省旅游气候舒适度精细化评估[J]. 资源科学, 2013, 35(12): 2501-2506.
  [Qiu Can, Cao Jie, Lin Longchao, et al. Estimation and evaluation of tourism climatic comfort levels in Shandong based on GIS[J]. Resources Science, 2013, 35(12): 2501-2506.]
[24] 任国平, 郑慧开, 汤放华, 等. 基于转化效率的资源型省份红色旅游经济高质量发展[J]. 自然资源学报, 2023, 38(3): 576-600.
  [Ren Guoping, Zheng Huikai, Tang Fanghua, et al. High-quality development of red tourism economy in resourceful province based on resource transformation efficiency[J]. Journal of Natural Resources, 2023, 38(3): 576-600.]
[25] 杜涛, 白凯, 黄清燕, 等. 红色旅游资源的社会建构与核心价值[J]. 旅游学刊, 2022, 37(7): 16-26.
  [Du Tao, Bai Kai, Huang Qingyan, et al. Social construction and core values of red tourism resources[J]. Tourism Tribune, 2022, 37(7): 16-26.]
[26] 常学礼, 赵爱芬, 李胜功. 生态脆弱带的尺度与等级特征[J]. 中国沙漠, 1999, 19(2): 20-24.
  [Chang Xueli, Zhao Aifen, Li Shenggong. Spatial-temporal scale and hierarchy of vulnerable ecotone[J]. Journal of Desert Research, 1999, 19(2): 20-24.]
[27] 赵安周, 张安兵, 赵延旭, 等. 基于MODIS NDVI数据的陕甘宁地区植被覆盖时空变化及其对极端气候的响应[J]. 水土保持研究, 2018, 25(3): 224-231.
  [Zhao Anzhou, Zhang Anbing, Zhao Yanxu, et al. Spatiotemporal changes of vegetation in the Shaanxi-Gansu-Ningxia region and response to climatic extremes based on MODIS NDVI data[J]. Research of Soil and Water Conservation, 2018, 25(3): 224-231.]
[28] 孙梦华, 牛文浩, 张蚌蚌, 等. 黄河流域土地利用变化下生态系统服务价值时空演变及其响应——以陕甘宁地区为例[J]. 应用生态学报, 2021, 32(11): 3913-3922.
  [Sun Menghua, Niu Wenhao, Zhang Bangbang, et al. Spatial-temporal evolution and responses of ecosystem service value under land use change in the Yellow River Basin: A case study of Shaanxi-Gansu-Ningxia region,Northwest China[J]. Chinese Journal of Applied Ecology, 2021, 32(11): 3913-3922.]
[29] 芦佳玉, 延军平, 王鹏涛, 等. 全球气候变暖背景下陕甘宁地区风速时空变化特征[J]. 中国沙漠, 2017, 37(3): 554-560.
  [Lu Jiayu, Yan Junping, Wang Pengtao, et al. Wind speed change characteristics of Shaanxi-Gansu-Ningxia area in 1960-2014[J]. Journal of Desert Research, 2017, 37(3): 554-560.]
[30] 杨新, 延军平. 陕甘宁地区气候暖干化趋势分析[J]. 干旱区研究, 2002, 19(3): 67-70.
  [Yang Xin, Yan Junping. Analysis on the climatic warming-drying trend in the juncture of Shaanxi and Gansu Provinces and Ningxia Hui Autonomous Region[J]. Arid Zone Research, 2002, 19(3): 67-70.]
[31] 王晓冬. 陕甘宁地区气候变化及相关影响分析[J]. 干旱区地理, 2004, 27(1): 24-28.
  [Wang Xiaodong. Climate change in Shaan-Gan-Ning area and its impacts analysis[J]. Arid Land Geography, 2004, 27(1): 24-28.]
[32] 彭春香. 陕甘宁红色旅游资源空间分布及跨域整合治理研究[D]. 西安: 西安建筑科技大学, 2023.
  [Peng Chunxiang. Study on Spatial Distribution and Cross-domain Integrated Management of Red tourism Resources in Shaanxi-Gansu-Ningxia[D]. Xi’an: Xi’an University of Architecture and Technology, 2023.]
[33] 延安市统计局. 延安统计年鉴[M]. 2000-2019.
  [Yan’an Bureau of Statistics. Yan’an Statistical Yearbook[M]. 2000-2019.]
[34] 张陇堂. 陕甘宁共推红色旅游线路[N]. 中国旅游报, 2009-09-30( 003).
  [Zhang Longtang. Shaanxi, Gansu and Ningxia jointly promote red tourism routes[N]. China Tourism News, 2009-09-30( 003).]
[35] 马耀峰, 李旭, 梁雪松, 等. 陕西红色旅游发展战略研究[J]. 西北大学学报(哲学社会科学版), 2005, (4): 22-26.
  [Ma Yaofeng, Li Xu, Liang Xuesong, et al. A Study on the strategies of developing red-tourism in Shaanxi Province[J]. Journal of Northwest University (Philosophy and Social Sciences Edition), 2005, (4): 22-26.]
[36] 卢珊, 王百朋, 张宏芳. 1971—2010年陕西省气候舒适度变化特征及区划[J]. 干旱气象, 2015, 33(6): 987-993.
  [Lu Shan, Wang Baipeng, Zhang Hongfang. Variation characteristics and comprehensive division of climate comfort degree from 1971 to 2010 in Shaanxi Province[J]. Journal of Arid Meteorology, 2015, 33(6): 987-993.]
[37] 雷杨娜, 张侠, 赵晓萌. 1971—2018 年陕西省人体舒适度时空分布特征研究[J]. 干旱区地理, 2020, 43(6): 1417-1425.
  [Lei Yangna, Zhang Xia, Zhao Xiaomeng. Spatial-temporal distribution characteristics of comfort index of human body in Shaanxi Province from 1971 to 2018[J]. Arid Land Geography, 2020, 43(6): 1417-1425.]
[38] 马丽君. 中国典型城市旅游气候舒适度及其与客流量相关性分析[D]. 西安: 陕西师范大学, 2012.
  [Ma Lijun. Tourism Climate Comfort and Its Correlation with Tourist Flow in Typical Chinese Cities[D]. Xi’an: Shaanxi Normal University, 2012.]
Options
Outlines

/

〈 〉