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The 2022 Winter Olympics were held in the three competition zones of Beijing, Yanqing and Zhangjiakou, China. The venues of this Winter Olympics were scattered and the terrain was complex. Moreover, the medical resources of Hebei and Beijing were relatively unbalanced. In the medical security of major events, the connection between first aid and in-hospital processes is of the utmost importance to rescue quality. 5th generation mobile network (5G) applications in medical scenarios are on the rise. It would be of great relevance to fully use 5G's low-latency and high-speed features to share the process information of patients, ambulance personnel, and the destination hospital's rescue team at emergency scenes and in transportation, improving rescue efficiency. This paper proposes a system scheme of cross-institutional emergency health information sharing based on 5G and augmented reality wearable devices. It also integrates the construction method of monitoring and other sign data sharing, in addition to testing the proposed scheme's service quality in 5G environments. In the deployment area of the 5G emergency medical rescue information sharing scheme for the Beijing Winter Olympic Games, we selected two designated medical support institutions for testing. The test adopted a combination of fixed-point and driving tests to experiment on the service data, voice service, and streaming media indicators. The 5G signal's coverage rate was close to 100%, the standalone connection's success rate was 100%, and the drop rate was 0. The average downlink rate of multiple scenarios was 620mbps, and the average uplink rate of 5G was over 71.8mbps, which is higher than the average 5G level in China. The downlink rate was more than 20 times larger than the 4th generation mobile network (4G) rate. This study's proposed scheme demonstrates the importance of 5G applications in emergency response and support, in addition to providing a suitable scheme for the integration of 5G networks in the medical scene. [ABSTRACT FROM AUTHOR]

Heat wave is serious natural disaster that can harm human health and affect social economy, transportation and ecological environment. This paper investigates the long term trends of high temperature events in three major cities (Beijing, Tianjin and Shijiazhuang) of northern China during 1970–2019, and quantifies the contributions of main influencing factors to the variability of high temperature days. High temperature events in Beijing–Tianjin–Shijiazhuang cities mainly occur from June to July and account for 60–65% of the annual total, showing a significant upward trend in the interannual change. There is a trend of high temperature events starting early and ending late in recent 50 years, and this trend is intensified by the increasing urbanization. Due to geographical location and city scale, the frequency and intensity of high temperature events show difference among Beijing, Tianjin and Shijiazhuang cities. Variance analysis shows that climate warming contributes 20.2–25.5% to the variability of high temperature days, while urban heat island accounts for 14.7–24.2%, equal to the sum of the contributions from atmospheric circulation and solar activity. [ABSTRACT FROM AUTHOR]

Thia paper presente a comparison and analysir method of date at traffic meteorological observation station during Beijing Winter Olympic Games period based on Grubbs criterion. By comparing the date of a set of standard multi-element observation stations with the date of multiple measured traffic stations, the outlierr of each element date at each station were analyzed. It could provide date support for the maintenance of Zhangjiakou traffic meteorolooicat observation station and a guarantee for the accuraca of forest service during Beijing Winter Olympic Games period. [ABSTRACT FROM AUTHOR]

• The control interval constraint method can increase the control interval of MPC. • The water level constraint method can avoid unnecessary control of minor deviations. • The simultaneous use of the two methods can greatly reduce the gate control times. Model predictive control (MPC) is an effective real-time control method in dealing with water level deviations in canal pools. However, the control interval must be relatively small if some canal pools have short time delay characteristics, resulting in frequent gate control and limited use in practical engineering. In this paper, control interval constraint and water level soft constraint methods were proposed to handle frequent gate control problems in MPC. The MPC method with these constraint methods was tested on a simulation model of the Beijing–Shijiazhuang part of the Middle Route of the South-to-North Water Diversion Project (MRP) with two kinds of disturbances common to this project. The results indicate that the control interval constraint can increase the gate control interval and avoid back-and-forth gate opening adjustments without affecting the water level regulation. The water level constraint helps avoid unnecessary control to minor water level deviations. With both constraints used together, the control times can be reduced by 60% and 37%, respectively, in the two test disturbances. This control method meets the demand of large control intervals in multi-cascade pools. [ABSTRACT FROM AUTHOR]