中国避寒型气候评价指标体系构建及变化特征

doi:10.3969/j.issn.1673-503X.2025.03.001

Abstract

Abstract: Based on daily observation data from 2328 national meteorological stations in China during the winter (December of the previous year to February of the current year) from 1961 to 2020,an evaluation system for winter comfortable climate was developed.According to the connotation and characteristics of winter comfortable climate,13 indicators were selected from 7 aspects,such as temperature,precipitation,wind speed,and human comfortability,to quantitatively assess the winter comfortable climate and to analyze the spatial distribution and the characteristics of long-term change of winter comfortable climate in China.The results showed that winter comfortable climate in China are mainly distributed in southern Sichuan,Yunnan,Guangxi,Guangdong,Hainan,and Fujian,with favorable conditions observed in southern Yunnan,southern Guangxi,southern Guangdong,southern Fujian,and Hainan.From 1961 to 2020,the extent and frequency of winter comfortable climates have shown a significant increasing trend,especially after the 1990s,with February exhibiting the greatest expansion.Compared with 1961-1990,the period 1991-2020 show a northward expansion of winter comfortable climate and an overall improvement in climate conditions,with the obvious notable enhancements in February.By constructing an evaluation system for winter resort climate in China,we quantitatively discovered the spatial distributions of different levels of winter resort climate in winter and its various months.This provides a scientific reference for destination selection and the development and utilization of winter resort climate resources in various regions over China.

Key words: Winter comfortable climate, Human comfort index, Tourism climate index, Evaluation system

CLC Number:

ZHAO Shanshan, WANG Rong, LI Ying, YE Dianxiu. Development and variation characteristics of an evaluation system for winter comfortable climate in China[J]. Journal of Meteorology and Environment, 2025, 41(3): 1-8.

References

[1] 李正泉,贺忠华,胡中民.气候与健康及气候康养研究进展[J].海洋气象学报,2020,40(1):107-116.
[2] 李山,孙美淑,张伟佳,等.中国大陆1961—2010年间气候舒适期的空间格局及其演变[J].地理研究,2016,35(11):2053-2070.
[3] 蔚丹丹,李山,张粮锋,等.旅游气候舒适性评价:模型优化与中国案例[J].旅游学刊,2021,36(5):14-28.
[4] 邓粒子,保继刚.中国避暑型与避寒型宜人气候的分布特征及差异[J].地理研究,2020,39(1):41-52.
[5] 林锦屏,成蝶,周美岐,等.避寒旅游地适宜度评价指标体系和理论模型研究[J].资源开发与市场,2021,37(5):605-611.
[6] 段圣奎.中国避寒旅游城市旅居养老环境评价研究[J].海南师范大学学报(自然科学版),2021,34(1):90-97.
[7] 林锦屏,郭来喜.中国南方十一座旅游名城疗养气候旅游资源评估[J].人文地理,2003,18(6):26-30.
[8] 陈慧.中国避暑型与避寒型宜人气候的地域类型及其时空特征研究[D].南京:南京信息工程大学硕士学位论文,2015.
[9] 中国气象服务协会.避寒气候宜居地评价:T/CMSA 0018—2020[S].北京:气象出版社,2020.
[10] 罗赟敏.“避寒”养老旅游者行为特征研究[J].旅游纵览,2017,(4):32-34.
[11] 孔钦钦,郑景云,王新歌.1979—2014年中国气候舒适度空间格局及时空变化[J].资源科学,2016,38(6):1129-1139.
[12] 李兰兰,夏兆林,敖刚,等.余庆县冬季避寒旅游气候条件评价[J].资源环境,2020,37(6):104-105.
[13] 严晶,李玄,资晶,等.攀枝花市避寒气候适宜度精细化分析[J].高原山地气象研究,2023,43(1):138-143.
[14] 吴英,于涵,范晓青,等.基于舒适度的广东省茂名市避寒气候资源分析[J].气象科技进展,2023,13(3):36-40.
[15] 彭韵萌,钟燕川,何军,等.基于舒适度指数的重庆地区四类养生气候适宜度分析[J].气象与环境学报,2023,39(2):107-112.
[16] 巢清尘,李柔珂,崔童,等.中国气候变化科学认识进展及未来展望-中国《第四次气候变化国家评估报告·第一部分》解读[J].中国人口·资源与环境,2023,33(1):74-79.
[17] 冯晓钰,周广胜.1969—2018年金华市舒适度和冷/热日特征分析[J].气象与环境学报,2020,36(6):108-114.
[18] 余永江,郑有飞,谈建国,等.近50a来中国大城市体感温度变化[J].气象科学,2009,29(2):272-276.
[19] Lam J C,Wan K K W,Wong S L,et al.Long-term trends of heat stress and energy use implications in subtropical climates [J].Applied Energy,2010,87(2):608-612.
[20] 朱姜韬,路瑶,李艳.1970—2019年中国大陆地区寒潮年代际变化及大气环流成因[J].兰州大学学报(自然科学版),2022,58(3):337-346,355.
[21] 中国气象服务协会.气候康养地评价:T/CMSA 0019-2020[S].北京:气象出版社,2020.
[22] 李晓娟,李茵茵,温晶,等.广州市低温日的气候特点及其变化[J].广东气象,2011,33(5):1-3.
[23] 招伟文,梁华玲,吴瑕.近56a南海区低温的变化特征分析[J].贵州气象,2016,40(1):41-44.
[24] 朱学玲,任健.人体舒适度的分析与预报[J].气象与环境科学.2011,34(s1):131-134.
[25] 中国气象局.气候资源评价气候宜居城镇:QX/T 570—2020[S].北京:气象出版社,2020.
[26] 青海省市场监督管理局.高原大气含氧量等级:DB 63/T 1931—2021[S].青海:青海人民出版社,2021.
[27] 赵珊珊,叶殿秀,肖潺,等.省级避暑旅游目的地评价指标体系的构建研究[J].气象与环境学报,2024,40(1):97-104.
[28] 魏凤英.现代气候统计诊断与预测技术[M].北京:气象出版社,2007.

Development and variation characteristics of an evaluation system for winter comfortable climate in China

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