室内人体舒适度预报模型研究  

A Study on Forecasting Models for Indoor ComfortIndex of Human Body

作　　者：杨云洁[1,2] 张滨 李玉姣 袁波 黎荣 韩琳 王鸽[7] YANG Yun-jie;ZHANG Bin;LI Yu-jiao;YUAN Bo;LI Rong;HAN Lin;WANG Ge(Chengdu University of Information Technology,Chengdu 610225,China;Xinhuang Meteorological Bureau,Huaihua Hunan 419200,China;Air Traffic Regulating Branch of Hunan,Changsha 410141,China;Chongli Meteorological Bureau,Zhangjiakou Hebei 076350,China;Huangguoshu Airport,Anshun Guizhou 561000,China;Dejiang Meteorological Bureau,Tongren Guizhou 565200,China;Institute of Plateau Meteorology,CMA/Heavy Rain and Drought-Flood Disasters in Plateau and Basin Key Laboratory of Sichuan Province,CMA,Chengdu 610072,China)

机构地区：[1]成都信息工程大学,成都610225 [2]新晃侗族自治县气象局,湖南怀化419200 [3]民航湖南空管分局,长沙410141 [4]崇礼县气象局,河北张家口076350 [5]安顺黄果树机场,贵州安顺561000 [6]德江县气象局,贵州铜仁565200 [7]中国气象局成都高原气象研究所/高原与盆地暴雨旱涝灾害省重点实验室,成都610072

出　　处：《西南大学学报（自然科学版）》2021年第5期162-171,共10页Journal of Southwest University(Natural Science Edition)

基　　金：国家青年自然科学基金项目(41105101);成都信息工程学院科研人才基金项目(J201308);成都信息工程学院大学生创新创业训练计划项目(CX201319).

摘　　要：选取成都信息工程大学不同类型室内及气象观测场作为样点,采集了2013年5月18日-2014年4月30日的逐日气象资料,建立了室内人体舒适度预报模型,并得出如下结论:①室内、外人体舒适度之间的正相关关系有统计学意义(p<0.01),不同类型室内与室外的相关系数(R^(2))均达到0.84以上;②在相对较寒冷的秋冬季及春夏季的上午,直接利用室外气象要素来预报室内人体舒适度的准确率较低,而利用室内人体舒适度预报模型能够显著提高预报准确率;③通过问卷调查分析,将前人对室内人体舒适度预报等级的九级划分法订正为五级划分法,且通过实测数据进一步证明,五级划分的正确率普遍高于九级划分法.In a study reported in this paper, teachers’ office, students’ dormitory, students’ classroom and Meteorological Observation Field of Chengdu University of Information Technology were selected as the observations points, the daily meteorological data from May, 2013 to May, 2014 were collected, and a few forecasting models with relatively high forecast accuracy were established for indoor comfort index of human body. In autumn and winter, or in the morning of spring and summer, when the weather is relatively cool, it gave poor accuracy to forecast indoor comfort of human body based on outdoor meteorological elements. Using Forecasting Model for Indoor Comfort Index of Human Body to forecast of indoor comfort conditions greatly improved the forecast accuracy. Based on the data in a questionnaire survey, the authors recommended a 5-grade classification method instead of the currently used 9-grade classification method to forecast indoor comfort of human body, and the data in a test showed that the accuracy of the 5-grade classification method was higher than that of the 9-grade classification method.

关 键 词：人体舒适度 预报模型 室内 公共气象服务 

分 类 号：P456[天文地球—大气科学及气象学]