National Key Laboratory of Science and Technology on Communication, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Research Institute of Electronic Science and Technology, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Environ Sci Pollut Res Int. 2020 Oct;27(30):37333-37346. doi: 10.1007/s11356-020-07703-w. Epub 2020 Feb 10.
Human civilization has reached an unprecedented height, but the industrialization of economic development also brings global warming, ozone depletion, acid rain, fresh water resources crisis, energy shortage, and environmental problems. In autumn and winter, haze becomes the usual state in the modern society, and PM2.5 has been becoming an important form of air pollution. The research found that PM2.5 brings great influence to the human body or daily life. To some extent, the PM2.5 also affects the propagation of electromagnetic waves near the ground, reducing the transmission performance of electromagnetic wave. Based on Mie scattering theory, this paper qualitatively analyzed the scattering effects of PM2.5 particles on every frequency band of electromagnetic wave in daily use. Then the paper takes the satellite navigation signals as a research example, selecting university of Wyoming Davis stations in Antarctica sounding data by measuring the tropospheric atmospheric meteorological parameters (including the atmosphere pressure, geopotential height of different layers, dew point temperature, relative humidity and specific humidity, wind direction, wind speed, and temperature). The paper inversed the refractive index distribution of the troposphere based on AlexNet model and described the error quantitatively. The simulation results show that the estimated error is less than 5.1455%, proving the high accuracy of the AlexNet model. To test the influence of PM2.5, the paper takes Jiuquan, a city with serious pollution, as an example. Comparison between the inversion results and IGS products shows that high concentration of PM2.5 pollution has little influence on the inversion of refractive index profile.
人类文明已经达到了前所未有的高度，但经济发展的工业化也带来了全球变暖、臭氧消耗、酸雨、淡水资源危机、能源短缺和环境问题。在秋冬季节，雾霾成为现代社会的常态，而 PM2.5 已经成为一种重要的空气污染形式。研究发现，PM2.5 对人体或日常生活有很大的影响。在某种程度上，PM2.5 也会影响地面附近的电磁波传播，降低电磁波的传输性能。本文基于 Mie 散射理论，定性分析了 PM2.5 颗粒对日常生活中各频段电磁波的散射效应。然后，本文以卫星导航信号为例，选取南极戴维斯站的声探测数据，测量大气气象参数（包括大气压力、不同层次的位势高度、露点温度、相对湿度和比湿度、风向、风速和温度）。本文基于 AlexNet 模型反演了对流层的折射率分布，并对误差进行了定量描述。模拟结果表明，估计误差小于 5.1455%，证明了 AlexNet 模型的高精度。为了测试 PM2.5 的影响，本文以污染严重的酒泉为例。将反演结果与 IGS 产品进行比较，结果表明，高浓度的 PM2.5 污染对折射率廓线的反演影响不大。
