基于UTCI的河北省夏季人体舒适度时空分布特征

doi:10.3969/j.issn.1673-503X.2025.04.015

气象与环境学报 ›› 2025, Vol. 41 ›› Issue (4): 125-135.doi: 10.3969/j.issn.1673-503X.2025.04.015

• 论文 • 上一篇

基于UTCI的河北省夏季人体舒适度时空分布特征

刘思廷^1,2, 杨晔^1,2, 卞韬^1,2, 张翠华^1,2

1. 石家庄市气象局, 河北石家庄 050081;
2. 河北省气象与生态环境重点实验室, 河北石家庄 050022

收稿日期:2024-01-09 修回日期:2024-04-23 发布日期:2026-01-10
通讯作者: 卞韬,女,正高级工程师,E-mail:biantao0107@163.com。 E-mail:biantao0107@163.com
作者简介:刘思廷,女,1992年生,工程师,主要从事应用气象与气象服务方面研究,E-mail:767582972@qq.com。
基金资助:
中国气象局创新发展专项(CXFZ2024J008)资助。

Characterization of spatial and temporal distribution of human comfort in summer in Hebei Province based on UTCI

LIU Siting^1,2, YANG Ye^1,2, BIAN Tao^1,2, ZHANG Cuihua^1,2

1. Shijiazhuang Meteorological Service, Shijiazhuang 050081, China;
2. Hebei Key Laboratory of Meteorology and Ecological Environment, Shijiazhuang 050022, China

Received:2024-01-09 Revised:2024-04-23 Published:2026-01-10

摘要/Abstract

摘要： 基于河北省夏季1991—2020年143个国家级地面气象观测站逐日资料以及2014—2020年8个辐射站日数据,以通用热气候指数(UTCI)为评价指标,利用趋势分析法、克里金插值方法揭示了夏季人体舒适度时空分布规律。结果表明:近30 a河北省夏季舒适级占比总体呈减少趋势,趋势值为-0.9%·(10 a)^-1,存在空间差异,随着海拔高度降低,舒适级占比趋势倾向率由正转负;平原、丘陵、低山舒适级占比呈单谷形态,高海拔地区则呈单峰形态,四类地形夏季舒适日数分别为24、81、92、92 d,低山、高海拔地区全季均为舒适日数;空间分布总体呈由西北向东南递减趋势,高海拔地区舒适占比最高,达到95.6%,平原舒适占比最低,为33.8%;7月和8月高海拔地区舒适级占比最高,而6月则由于高海拔地区气温仍较低,低山舒适等级占比最高。因此,河北省低山和高海拔区域夏季体感舒适,皆适合出游,平原地区6月上、中旬适宜出游,丘陵地区除7月下旬外适宜出游。

关键词: 通用热气候指数(UTCI), 人体舒适度, 舒适级占比

Abstract: Based on the daily data from 143 national-level surface meteorological observation stations in Hebei Province during the summer months from 1991 to 2020,as well as the daily data from 8 radiation stations from 2014 to 2020,this study takes the Universal Thermal Climate Index (UTCI) as the evaluation indicator.It reveals the spatiotemporal distribution pattern of summer human thermal comfort using trend analysis and Kriging interpolation methods.The results show that over the past 30 years,the proportion of comfortable days in Hebei Province during summer has generally shown a decreasing trend,with a trend value of -0.9% per decade.There are spatial differences: as the altitude decreases,the tendency rate of the proportion of comfortable days shifts from positive to negative.The proportion of comfortable days in plains,hills,and low mountainous areas presents a single-valley pattern,while high-altitude areas show a single-peak pattern.The number of summer comfortable days in these four types of terrain is 24,81,92,and 92 days respectively,with low mountainous and high-altitude areas having comfortable days throughout the entire summer season.In terms of spatial distribution,there is an overall decreasing trend from northwest to southeast.High-altitude areas have the highest proportion of comfortable days,reaching 95.6%,while plains have the lowest proportion at 33.8%.High-altitude areas have the highest proportion of comfortable days in July and August.However,in June,due to the still relatively low temperatures in high-altitude areas,low mountainous areas have the highest proportion of comfortable days.Therefore,low mountainous and high-altitude areas in Hebei Province have a comfortable summer thermal sensation and are suitable for traveling.The plains are suitable for traveling in the first and middle ten days of June,and the hills are suitable for traveling except in the last ten days of July.

Key words: Universal Thermal Climate Index (UTCI), Human Comfort, Comfort Level Percentage

中图分类号:

刘思廷, 杨晔, 卞韬, 张翠华. 基于UTCI的河北省夏季人体舒适度时空分布特征[J]. 气象与环境学报, 2025, 41(4): 125-135.

LIU Siting, YANG Ye, BIAN Tao, ZHANG Cuihua. Characterization of spatial and temporal distribution of human comfort in summer in Hebei Province based on UTCI[J]. Journal of Meteorology and Environment, 2025, 41(4): 125-135.

参考文献

[1] Freitas C.Human Climates of Northern China[J].Atmospheric Environment,1979,13(1):71-77.
[2] 陆鼎煌,崔森,李重和.北京城市绿化夏季小气候条件对人体的适宜度[C].中国林业学会.林业气象论文集.北京:气象出版社,1984:144-152.
[3] Mieczkowski Z.The tourism climatic index:A method of evaluating world climates for tourism[J].The Canadian Geographer,1985,29(3):220-330.
[4] 雷桂莲,范晨芳.人体舒适度预报系统[J].江西气象科技,1999,22(3):40-41.
[5] 雷杨娜,毛明策,李明,等.1971—2018年陕西省人体舒适度日数时空变化特征[J].气象与环境学报,2022,38(2):89-96.
[6] 李源,袁业畅,陈云生.武汉市人体舒适度计算方法及其预报[J].湖北气象,2000(1):27-28.
[7] 徐静,卢宪梅,刘志刚,等.1966—2018年秦皇岛气候舒适度时空变化特征[J].气象与环境学报,2020,36(3):80-86.
[8] 马丽君,孙根年,马彦如,等.50年来北京旅游气候舒适度变化分析[J].干旱区资源与环境,2011,25(10):161-166.
[9] 马丽君,孙根年,谢越法,等.50年来东部典型城市旅游气候舒适度变化分析[J].资源科学,2010,32(10):1963-1970.
[10] 马丽君,孙根年,玉素朴江,等.新疆旅游气候舒适度分析与评价[J].干旱区资源与环境.2010,24(9):151-155.
[11] 赵迦琪.呼包鄂地区气候舒适度时空变化及其关键气象因子分析[J].气象与环境学报,2022,38(2):78-88.
[12] 龚宇,花家嘉,王爱军.唐山旅游区气候舒适度评价及开发建议[J].华中农业大学学报(社会科学版),2009(5):42-46.
[13] 贾蓓西,池俊成.河北省旅游气候资源评价及变化分析[J].山东气象,2012,32(2):15-19.
[14] Blazejczyk K,Epstein Y,Jendritzky G,et al.Comparison of UTCI to selected thermal indices[J].International Journal of Biometeorology,2012,56(3):515-535.
[15] Lai D,Guo D,Hou Y,et al.Studies of outdoor thermal comfort in northern China[J].Building & Environment,2014(77):110-118.
[16] Pappenberger F,Jendritzky G,Staiger H,et al.Global forecasting of thermal health hazards:the skill of probabilistic predictions of the Universal Thermal Climate Index(UTCI)[J].International Journal of Biometeorology,2015,59(3):311-323.
[17] Bröde P,Blazejczyk K,Fiala D,et al.The universal thermal climate index UTCI compared to ergonomics standards for assessing the thermal environment[J].Industrial Health,2013,51(1):16-24.
[18] Psikuta A,Fiala D,Laschewski G,et al.Validation of the Fiala multi-node thermophysiological model for UTCI application[J].International Journal of Biometeorology,2012,56(3):443-460.
[19] Napoli C D,Pappenberger F,Cloke H L.Verification of heat stress thresholds for a health-based heat-wave definition[J].Journal of Applied Meteorology and Climatology,2019,58(6):1177-1194.
[20] Ge Q,Kong Q,Xi J,et al.Application of UTCI in China from tourism perspective[J].Theoretical and Applied Climatology,2016,128(3):551-561.
[21] Nassiri P,Monazzam M R,Golbab Ae I F,et al.Application of Universal Thermal Climate Index(UTCI) for assessment of occupational heat stress in open-pit mines[J].Industrial Health,2017,55(5):437-443.
[22] Honjo T,Seo Y,Yamasaki Y,et al.Thermal comfort along the marathon course of the 2020 Tokyo Olympics[J].International Journal of Biometeorology,2018,62(8):1407-1419.
[23] 周文娟,申双和.热气候指数评价1981-2014年南京夏季舒适度[J].科学技术与工程,2017,17(4):132-136.
[24] 唐进时,申双和,华荣强,等.热气候指数评价中国南方城市夏季舒适度[J].气象科学,2015,35(6):769-774.
[25] 孔钦钦,葛全胜,席建超,等.中国重点旅游城市气候舒适度及其变化趋势[J].地理研究,2015,34(12):2238-2246.
[26] 林卉娇,马红云,张弥.基于UTCI指数的1980—2019年中国夏季人体舒适度变化特征分析[J/OL].气候变化研究进展.https://kns.cnki.net/kcms/detail/11.5368.p.20211026.1020.002.html.
[27] Wang C G,Zhan W F,Liu Z H,et al.Satellite-based mapping of the Universal Thermal Climate Index over the Yangtze River delta urban agglomeration[J].Journal of Cleaner Production,2020,277:1-14.
[28] 宿海良,费晓臣,柴瑞,等.河北省旅游适宜期人体舒适度指数研究[J].环境科学与管理,2021,46(2):144-147.
[29] Fiala D,Havenith G,Bröde P,et al.UTCI-Fiala multi-node model of human heat transfer and temperature regulation[J].International Journal of Biometeorology,2012,56(3):429-441.
[30] Bröde P,Fiala D,Blazejczyk K,et al.Deriving the operational procedure for the Universal Thermal Climate Index(UTCI)[J].International Journal of Biometeorology,2012,56(3):481-494.
[31] George H,Dusan F,Krzysztof B,et al.The UTCI-clothing model[J].International Journal of Biometeorology,2011,56(3):461-470.
[32] 毛洋洋,赵艳霞,张祎,等.五个常见日太阳总辐射模型在华北地区的有效性验证及分析[J].中国农业气象,2016,37(5):520-530.
[33] Allen R G,Pereira L S,Raes D,et al.Crop evapotranspiration[M].FAO Irrigation and Drainage,1998:56.

基于UTCI的河北省夏季人体舒适度时空分布特征

Characterization of spatial and temporal distribution of human comfort in summer in Hebei Province based on UTCI

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 8

Metrics

本文评价

推荐阅读 0

[1]	赵珊珊, 王荣, 李莹, 叶殿秀. 中国避寒型气候评价指标体系构建及变化特征[J]. 气象与环境学报, 2025, 41(3): 1-8.
[2]	孟寒冬, 王学远, 史恒斌, 孙存永, 王森彪, 李韶, 朱海剑, 张方. 2022年6月郑州都市圈一次极端高温热浪天气过程特征分析[J]. 气象与环境学报, 2025, 41(2): 1-10.
[3]	赵珊珊,叶殿秀,肖潺,李莹. 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.
[4]	金琪, 孟英杰. 1960—2016年武汉城市圈人体舒适度变化特征[J]. 气象与环境学报, 2017, 33(6): 82-88.
[5]	张青, 李颖, 骆月珍, 郑文涛. 杭州地区人体舒适度对自然死亡人数的影响[J]. 气象与环境学报, 2017, 33(3): 101-106.
[6]	吉莉,李家启,苟思,李强,汪志辉,李光兵, 张爽1. 重庆地区人体舒适度日数时空变化特征[J]. 气象与环境学报, 2014, 30(1): 88-94.
[7]	张立杰，张丽，李磊，力梅. 2011年深圳人体舒适度空间分布特征及影响因子分析[J]. 气象与环境学报, 2013, 29(6): 134-139.
[8]	孙广禄, 王晓云, 章新平, 吴华武, 申林. 京津冀地区人体舒适度的时空特征[J]. 气象与环境学报, 2011, 27(3): 18-23.