中国滑雪气候资源时空评估

IF 3 3区 地球科学 Q2 BIOPHYSICS International Journal of Biometeorology Pub Date : 2024-09-17 DOI:10.1007/s00484-024-02773-8
Dandan Yu, Zhanglin Lin, Yan Fang, Weijia Zhang, Juan Guo
{"title":"中国滑雪气候资源时空评估","authors":"Dandan Yu,&nbsp;Zhanglin Lin,&nbsp;Yan Fang,&nbsp;Weijia Zhang,&nbsp;Juan Guo","doi":"10.1007/s00484-024-02773-8","DOIUrl":null,"url":null,"abstract":"<div><p>This study introduces an improved Ski Climate Index (SCI) designed to assess skiing suitability in China by applying fuzzy logic. Using daily meteorological data from 733 weather stations for the periods 1961–1990 and 1991–2020, the study identifies significant changes in SCI distribution over time. Additionally, a coupled analysis is performed, integrating the SCI results with the distribution and spatial vitality of 389 ski resorts in China. This analysis provides a comprehensive understanding of the interplay between actual ski resources and the ongoing evolution of the skiing industry in China and three significant results:1) The snow module has a major impact on SCI distribution, while other non-snow natural elements, such as sunshine duration, wind speed, and thermal comfort, influence the overall SCI assessment less; 2) High SCI values are concentrated in Northwestern and Northeastern China, with increased ski climate resources being observed in Shaanxi-Gansu-Ningxia, Southwest Tibet, and Sichuan due to climate change and noticeable declines in the Southern regions of Northeast China.; 3) In terms of the distribution and vitality of ski resorts, the SCI also partially reflects the development of ski resorts. This skiing suitability model uses climate resources to offer valuable insights for key decision-making in resort development and operation, thereby supporting advancement of the ice-snow economy.</p></div>","PeriodicalId":588,"journal":{"name":"International Journal of Biometeorology","volume":"68 12","pages":"2627 - 2639"},"PeriodicalIF":3.0000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial and temporal assessment of China's skiing climate resources\",\"authors\":\"Dandan Yu,&nbsp;Zhanglin Lin,&nbsp;Yan Fang,&nbsp;Weijia Zhang,&nbsp;Juan Guo\",\"doi\":\"10.1007/s00484-024-02773-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>This study introduces an improved Ski Climate Index (SCI) designed to assess skiing suitability in China by applying fuzzy logic. Using daily meteorological data from 733 weather stations for the periods 1961–1990 and 1991–2020, the study identifies significant changes in SCI distribution over time. Additionally, a coupled analysis is performed, integrating the SCI results with the distribution and spatial vitality of 389 ski resorts in China. This analysis provides a comprehensive understanding of the interplay between actual ski resources and the ongoing evolution of the skiing industry in China and three significant results:1) The snow module has a major impact on SCI distribution, while other non-snow natural elements, such as sunshine duration, wind speed, and thermal comfort, influence the overall SCI assessment less; 2) High SCI values are concentrated in Northwestern and Northeastern China, with increased ski climate resources being observed in Shaanxi-Gansu-Ningxia, Southwest Tibet, and Sichuan due to climate change and noticeable declines in the Southern regions of Northeast China.; 3) In terms of the distribution and vitality of ski resorts, the SCI also partially reflects the development of ski resorts. This skiing suitability model uses climate resources to offer valuable insights for key decision-making in resort development and operation, thereby supporting advancement of the ice-snow economy.</p></div>\",\"PeriodicalId\":588,\"journal\":{\"name\":\"International Journal of Biometeorology\",\"volume\":\"68 12\",\"pages\":\"2627 - 2639\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Biometeorology\",\"FirstCategoryId\":\"89\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s00484-024-02773-8\",\"RegionNum\":3,\"RegionCategory\":\"地球科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOPHYSICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Biometeorology","FirstCategoryId":"89","ListUrlMain":"https://link.springer.com/article/10.1007/s00484-024-02773-8","RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOPHYSICS","Score":null,"Total":0}
引用次数: 0

摘要

本研究介绍了一种改进的滑雪气候指数(SCI),旨在应用模糊逻辑评估中国的滑雪适宜性。研究利用 733 个气象站 1961-1990 年和 1991-2020 年的每日气象数据,确定了 SCI 分布随时间的显著变化。此外,还进行了耦合分析,将 SCI 结果与中国 389 个滑雪场的分布和空间活力相结合。该分析全面了解了中国实际滑雪资源与滑雪产业持续发展之间的相互作用,并得出了三项重要结果:1)雪模对 SCI 分布影响较大,而其他非雪自然要素,如日照时间、风速、热舒适度等,对整体 SCI 评估影响较小;2)高 SCI 值集中在中国西北和东北地区,陕甘宁、西藏西南和四川地区因气候变化导致滑雪气候资源增加,而东北南部地区滑雪气候资源明显减少。3)从滑雪场的分布和活力来看,SCI 也部分反映了滑雪场的发展情况。该滑雪场适宜性模型利用气候资源为滑雪场开发和运营的关键决策提供有价值的见解,从而支持冰雪经济的发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

摘要图片

摘要图片

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Spatial and temporal assessment of China's skiing climate resources

This study introduces an improved Ski Climate Index (SCI) designed to assess skiing suitability in China by applying fuzzy logic. Using daily meteorological data from 733 weather stations for the periods 1961–1990 and 1991–2020, the study identifies significant changes in SCI distribution over time. Additionally, a coupled analysis is performed, integrating the SCI results with the distribution and spatial vitality of 389 ski resorts in China. This analysis provides a comprehensive understanding of the interplay between actual ski resources and the ongoing evolution of the skiing industry in China and three significant results:1) The snow module has a major impact on SCI distribution, while other non-snow natural elements, such as sunshine duration, wind speed, and thermal comfort, influence the overall SCI assessment less; 2) High SCI values are concentrated in Northwestern and Northeastern China, with increased ski climate resources being observed in Shaanxi-Gansu-Ningxia, Southwest Tibet, and Sichuan due to climate change and noticeable declines in the Southern regions of Northeast China.; 3) In terms of the distribution and vitality of ski resorts, the SCI also partially reflects the development of ski resorts. This skiing suitability model uses climate resources to offer valuable insights for key decision-making in resort development and operation, thereby supporting advancement of the ice-snow economy.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
6.40
自引率
9.40%
发文量
183
审稿时长
1 months
期刊介绍: The Journal publishes original research papers, review articles and short communications on studies examining the interactions between living organisms and factors of the natural and artificial atmospheric environment. Living organisms extend from single cell organisms, to plants and animals, including humans. The atmospheric environment includes climate and weather, electromagnetic radiation, and chemical and biological pollutants. The journal embraces basic and applied research and practical aspects such as living conditions, agriculture, forestry, and health. The journal is published for the International Society of Biometeorology, and most membership categories include a subscription to the Journal.
期刊最新文献
Gross primary productivity estimation through remote sensing and machine learning techniques in the high Andean Region of Ecuador. Association between nighttime and daytime ambient temperature and insomnia using national emergency department database in the capital city of South Korea. Mapping tree canopy thermal refugia for birds using biophysical models and LiDAR. Medical meteorological forecast for ischemic stroke: random forest regression vs long short-term memory model. The impact of diurnal temperature range on the risk of hospitalizations in a low-income setting: the case of the Central Coast of Vietnam.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1