Analysis of characteristics of air quality in Beijing-Tianjin-Hebei region based on remote sensing monitoring

Abstract

In this study, the characteristics of the air quality in current years were comprehensively analyzed according to the data between 2016 and 2020. The difference of six pollutants concentrations within 5 years in Beijing, Tianjin, and Hebei was compared at the same time. The control effectiveness in three areas was evaluated. Control measures would benefit the air quality improvement, which had the potential to give advice for the area that are less effective. Furthermore, comparing the change of concentration of six major pollutants within 5 years, the effectiveness of control measures on each concentration is evaluated. Under this circumstance, we considered different factors that contribute to the result, and found their implication on future control. From this study, it was concluded that (1) The control measure between 2016 and 2020 in Beijing-Tianjin-Hebei was effective for CO2, CO, SO2, PM2.5, and PM10. (2) The control of ozone and nitrogen dioxide is less effective, which requires efforts to reduce vehicle emissions and VOC emissions. (3) The effectiveness among the three places is equally effective, which indicated the positive tendency should be sustained.

Research on Fractional-Order Global Fast Terminal Sliding Mode Control of MDF Continuous Hot-Pressing Position Servo System Based on Adaptive RBF Neural Network

“…After adding urea formaldehyde resin or a waterproof agent, it is finally formed by high temperature, hot-pressing, and other processes, and its density is 0.65~0.80 g/cm 3 [1]. MDF has a uniform structure, low thermal expansion, smooth surface and easy to paste finish, and strong impact and bending resistance, so it is the best substitute for natural plates [2]. It is worth noting that MDF needs a wide range of raw materials, such as forest residues, sub small fuelwood, inferior boards, and surplus materials after wood processing, which significantly improves the reuse rate of forest resources.…”