Frequent extreme heat events exacerbated by global warming pose a significant threat to human health.However,the dynamic changes in human thermal comfort during such regional extremes remain understudied.This study in...Frequent extreme heat events exacerbated by global warming pose a significant threat to human health.However,the dynamic changes in human thermal comfort during such regional extremes remain understudied.This study investigates the spatiotemporal characteristics of the Universal Thermal Climate Index(UTCI)during 5-year return period extreme heat events across the Beijing-Tianjin-Hebei(BTH)region of China,utilizing 40 years of meteorological data from 174 stations.A non-stationary Generalized Extreme Value distribution model with a location parameter link function was identified as the optimal model(for 65.3%of stations)through the Akaike Information Criterion,capturing 16 regional extreme heat events.Results indicate that extreme heat thresholds rise with increasing return periods,with the highest thresholds concentrated around Beijing and Shijiazhuang.Air temperature and mean radiant temperature were found to be the dominant factors influencing UTCI,with daytime air temperature contributing 47.03%to 50.64%and nighttime mean radiant temperature contributing up to 48.55%.Spatially,“extreme heat stress”conditions,as defined by UTCI,were predominantly observed in the southeastern plains of Beijing and southern Hebei Province.Diurnally,UTCI peaked between 1200 and 1600 BT(Beijing time),generally returning to“no heat stress”levels across most areas between 0000 and 0600 BT.These findings provide crucial insights into the dynamics of human thermal comfort during extreme heat events in the BTH region,offering valuable scientific support for developing targeted heat mitigation and adaptation strategies.展开更多
基金supported by the Hebei Provincial Key Research and Development Program[grant numbers 23375401D and22375404D]the China Meteorological Administration[grant number FPZJ2024-011]the Hebei Meteorological Bureau[grant number21ky32]。
文摘Frequent extreme heat events exacerbated by global warming pose a significant threat to human health.However,the dynamic changes in human thermal comfort during such regional extremes remain understudied.This study investigates the spatiotemporal characteristics of the Universal Thermal Climate Index(UTCI)during 5-year return period extreme heat events across the Beijing-Tianjin-Hebei(BTH)region of China,utilizing 40 years of meteorological data from 174 stations.A non-stationary Generalized Extreme Value distribution model with a location parameter link function was identified as the optimal model(for 65.3%of stations)through the Akaike Information Criterion,capturing 16 regional extreme heat events.Results indicate that extreme heat thresholds rise with increasing return periods,with the highest thresholds concentrated around Beijing and Shijiazhuang.Air temperature and mean radiant temperature were found to be the dominant factors influencing UTCI,with daytime air temperature contributing 47.03%to 50.64%and nighttime mean radiant temperature contributing up to 48.55%.Spatially,“extreme heat stress”conditions,as defined by UTCI,were predominantly observed in the southeastern plains of Beijing and southern Hebei Province.Diurnally,UTCI peaked between 1200 and 1600 BT(Beijing time),generally returning to“no heat stress”levels across most areas between 0000 and 0600 BT.These findings provide crucial insights into the dynamics of human thermal comfort during extreme heat events in the BTH region,offering valuable scientific support for developing targeted heat mitigation and adaptation strategies.
