The purpose of this paper was to quantitatively analyze the temperature affecting the number of hospitalized children with respiratory diseases in coastal cities. Based on the medical records of pediatrics in Maternity and Child Care Center of Qinhuangdao from January 2013 to August 2016, the Poisson generalized additive model based on time series was used to analyze the exposures-response relationship between air temperature and the number of hospitalized children with respiratory diseases by controlling the long-term trend of time, holiday, day of the week effect and the influence of environmental meteorological factors. The analysis was stratified by season and sex. The results show that there were lag and cumulative effects of air temperature on the number of inpatients, and the sliding cumulative mean air temperature with a lag of two days (T_0-2) had the best effect on the number of hospitalized patients, and there was a nonlinear correlation with the number of inpatients. In cold season, the optimal value of T_0-2 for boys and girls was 4.0 ℃ and -2.9 ℃, respectively, and in warm season, the optimal value of T_0-2 for boys and girls was 16.3 ℃ and 16.5 ℃, respectively. The decrease of T_0-2 when it was below the optimal value and the increase when it was above the optimal value both led to the increase of hospital admission risk (RR). Both in cold and warm seasons, there was a significant gender difference in RR. The effect of low temperature in cold season and high temperature in warm season of girls was greater than that of boys.

Based on traffic accidents and meteorological observation data from December 2015 to November 2018 in Hebei Province, the quantitative relationship between highway traffic accidents and meteorological conditions was analyzed. The highway traffic accidents happened more in summer and autumn than in spring and winter, and they happened more in the daytime than during nighttime. The peak value appeared in August and October, and it appeared during 09:00-11:00 and 14:00-17:00. Highway traffic accidents in Gaocheng of Shijiazhuang and Fengnan of Tangshan occurred most. Take the case of Shijiazhuang area, the response of the relative risk RR of highway traffic accidents to different meteorological elements was analyzed using the Spearman rank correlation and curve fitting method, it was found that there was a significant threshold effect of temperature on the frequency of highway traffic accidents, and the threshold of daily average temperature, the daily maximum temperature and daily minimum temperature  were 20 ℃, 25 ℃ and 15 ℃, respectively. When the daily minimum relative humidity exceeded 80%, the relative risk of accident increased by 3.77% for every 1% increase of relative humidity. When the maximum rain intensity increased 10 mm·h-1, the accident risk increased by 18.8%. When the visibility was less than 1000 meters, the risk of highway traffic accident decreased by 4.14% with the increase of 100 meters in the visibility.