Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China; Institute of Eco-Chongming (IEC), Shanghai 202162, China; Zhuhai Fudan Innovation Institute, Zhuhai 519000, China; Institute of Atmospheric Sciences, Fudan University, Shanghai 200433, China.
Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention (LAP3), Department of Environmental Science and Engineering, Fudan University, Shanghai 200433, China.
J Environ Sci (China). 2023 Jan;123:3-14. doi: 10.1016/j.jes.2021.12.008. Epub 2021 Dec 23.
Currently, the three-dimensional (3D) distribution and characteristics of air pollution cannot be understood based on the application of any single atmospheric monitoring technology. Long-term, high-precision and large-scale 3D atmospheric monitoring might become practical by combining heterogeneous modern technologies; for this purpose, the Space-Air-Ground integrated system is a promising concept. In this system, optical remote sensing technologies employing fixed or mobile platforms are used as the main means for ground-based observations. Tethered balloons, unmanned aerial vehicles (UAV) and airborne platforms serve as the air-based observation segment. The final part, satellite remote sensing, corresponds to space-based observations. Aside from obtaining the 3D distribution of air pollution, research on emission estimation and pollution mechanisms has been extensively implemented based on the strengths of this system or some portion of it. Moreover, further research on the fusion of multi-source data, optimization of inversion algorithms, and coupling with atmospheric models is of great importance to the realization of this system.
目前,任何单一的大气监测技术都无法了解空气污染的三维(3D)分布和特征。通过结合异构的现代技术,长期、高精度和大规模的 3D 大气监测可能成为现实;为此,空天地一体化系统是一个有前途的概念。在该系统中,采用固定或移动平台的光学遥感技术被用作地面观测的主要手段。系留气球、无人机 (UAV) 和机载平台用作空基观测段。卫星遥感对应于天基观测。除了获取空气污染的 3D 分布外,还基于该系统或其部分的优势广泛开展了排放估算和污染机制的研究。此外,多源数据融合、反演算法优化以及与大气模型耦合的进一步研究对于实现该系统非常重要。