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作 者:喻丽 李萌 褚荣浩 熊美美 Yu Li;Li Meng;Chu Ronghao;Xiong Meimei(Tongzhou Meteorological Bureau,Nantong 226300;School of Civil Aviation,Zhengzhou University of Aeronautics,Zhengzhou 450015;Henan Institute of Meteorological Sciences,Zhengzhou 450003;China Lüsi National Meteorological Station,Nantong 226200)
机构地区:[1]南通市通州区气象局,南通226300 [2]郑州航空工业管理学院民航学院,郑州450015 [3]河南省气象科学研究所,郑州450003 [4]吕泗国家基准气象站,南通226200
出 处:《气象科技进展》2024年第5期60-64,80,共6页Advances in Meteorological Science and Technology
基 金:南通市气象局气象科研项目(NQZ202101)。
摘 要:分析2000--2021年江苏24个站点实测资料,提取气象要素对舒适度影响的主成分,在人体舒度指数(CIHB)的基础上,利用非线性回归法建立了以太阳日总辐射、气温日较差、连续高温日数为主导因子的夏季高温舒适度指数模型,将舒适度指数分级、分类并分析其时空演变特征。结果表明:气象要素对舒适度的影响主要有四大主成分,分别与温度、日照和辐射、湿度及风速有关;各站舒适度模型决定系数R2均在0.800以上,拟合效果较好;2000--2021年舒适度指数时间上呈现波动上升趋势,空间上,沿江苏南地区夏季舒适度指数最高,江淮之间地区其次,而江苏夏季相对舒适区域为淮北地区。Based on the analysis of the measured data at 24 stations in Jiangsu Province from 2000 to 2021,the principal components of the impact of meteorological factors on comfortability are extracted.On the basis of CIHB(Comfort Index of Human Body),a summer high temperature comfortability index model with the daily solar radiation,the daily temperature range and the continuous days of high temperature as the leading factors is established by using nonlinear regression method.The comfortability index is graded and categorized,and its spatio-temporal evolution characteristics are analyzed.The results show that meteorological factors have four main principal components on comfortability,which are related to temperature,sunlight and radiation,humidity,and wind speed;The coefficient of determination R2 of the comfortability model for each station is above 0.800,indicating a good fitting effect;The comfortability index has shown a fluctuating upward trend from 2000 to 2021.The summer comfortability index in the areas along the Yangtze River and in Sunan is the highest.The comfortability index in the areas between the Yangtze River and Huai River ranks the second.The relatively comfortable zone for the summer lies in the areas to the north of Huai River.
分 类 号:P4[天文地球—大气科学及气象学]
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