[Climate changes in southern Taihang Mountain area from 1980 to 2019]

Southern Taihang Mountain area is an important part of the key ecological regions along the Yellow River in China. Understanding the climate change trend in this area is of significance for the maintenance of ecological security and the planning and decision-making of major ecological projects in the Yellow River Basin. Taking Jiyuan City in southern Taihang Mountain area as the research area, we analyzed the climate change trend in Jiyuan based on the meteorological data from 1980 to 2019. The results showed that climate in Jiyuan tended to be warmer and wetter during the study period. The change rates of temperature and precipitation were 0.48 ℃·(10 a)^-1 and 14.21 mm·(10 a)^-1, respectively. The rise of temperature in spring and summer was higher than that in autumn and winter. Climate was warmer and drier in spring, while warmer and wetter in the other three seasons. Potential evapotranspiration and aridity index showed increasing and decreasing trends, with the average value of 748 mm and 1.36, respectively. The first and last days ≥10 ℃ were about 3 days in advance and 1 day in delay every 10 years. The change rate of effective accumulated temperature ≥10 ℃, duration days ≥10 ℃ and high temperature days were 116.57 ℃·(10 a)^-1, 4 d·(10 a)^-1, and 5 d·(10 a)^-1, respectively. The 1990s was the driest decade in Jiyuan during the study period, with strongest increases of temperature. Half of the years showed the characteristics of semi-arid climate in that decade. From 2010 to 2019, the trend of climate warming and wetting in Jiyuan had accelerated significantly, which was the warmest and wettest decade. In recent 10 years, duration days ≥10 ℃ and the effective accumulated temperature increased by about 28 days and 389.36 ℃, respectively. The frequency and intensity of high temperature weather also increased significantly in this decade.

[An study on the incidence of heat stroke and explore it's prediction model in Pudong New Area of Shanghai from 2013-2017]

Objective: To know the incidence of heat stroke and explore it's prediction model in Pudong New Area of Shanghai. Methods: An epidemiological investigation was conducted on heat stroke cases in Pudong New Area of Shanghai from 2013 to 2017. Daily temperature data during this period were collected to explore it's influence. Results: 246 heat stroke cases were reported and investigated, 70.3% (173/246) of them were male. 170 cases are severe heat stroke, accounting for 69.1%. 28 patients died, accounting for 11.4% of all cases of heat stroke, and 16.5% (28/170) of severe heat stroke cases. Thermoplegia (56.5%, 96/170) was the most popular type among severe heat stroke cases. Heat prostration, heat cramps and mixed type account for 17.1% (29/170) , 12.4% (21/170) and 14.0% (24/170) respectively. Scatter plot and linear regression demonstrated that there was a significant linear relation between number of high temperature days and number of heat stroke cases (P<0.01) . And the prediction model is: Predictive number of annual heat stroke cases=β×Number of annual high temperature days+Intercept. Leave-one-out cross validation result shows that the predictive number of annual heat stroke cases from 2013 to 2017 were 85.7%, 90.9%, 83.3%, 91.9 and 84.3% respectively. Conclusion: There was a significant linear relation between number of high temperature days and number of heat stroke cases in Pudong New Area. The related work arrangement for heat stroke prevention could be well planed according to the prediction model.