Abstract: Based on a computational approach of apparent temperature involving influence factors such as temperature,humidity and precipitation,and a classification method of human body comfortableness level,the influence of human body comfort degree on the whole natural mortality as well as on the natural mortality of different genders,ages and typical diseases in Hangzhou from August of 1998 to July of 2007 were analyzed.The purpose of this study is to provide a reference to meteorological health services in Hangzhou.The results show that the relationship between apparent temperature and natural mortality can be expressed as a quadric polynomial function.When apparent temperature is about 25.5 ℃,the number of daily mean mortality reaches a minimum but has a most significant lag correlation with apparent temperature of 3-5 d lag time.If we define daily mortality rate 36.51 as a threshold,the mortality peak days occur most frequently in winter and occasionally in summer.The human body comfortableness level is the highest in May and October.Both male and female mortality have significantly negative correlations with apparent temperature.The daily mean mortality of male is just slightly higher than that of female,and the cold uncomfortableness has greater influence on the mortality rate than the hot uncomfortableness.A significantly negative correlation of apparent temperature is observed with both of natural mortality of middle and old ages,particularly for the latter.The variation of apparent temperature has little effect on infants,teenagers and youths.The daily mean mortality is the largest for the old,followed by the middle-age,youth,infant,and teenager.Deaths owing to the respiratory and circulatory system diseases have a significantly negative correlation with apparent temperature,whereas deaths owing to cancer disease show an obviously positive correlation with apparent temperature.The daily mean mortality is mostly caused by cancer,followed by circulatory system diseases and respiratory system diseases.The respiratory system diseases are more sensitive to the temperature variation.