سابِق|تال

Progress of near-surface PM2.5 concentration retrieve based on satellite remote sensing

  • role： First author第一作者
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China

  • Email：1358702500@qq.com
  • Introduction：向娟，研究方向为大气遥感。E-mail：1358702500@qq.com
XIANG Juan1,  
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China

TAO Minghui1,  
  • role： Corresponding author通信作者
  • Affiliation：

    Tianjin Meteorological Service, Tianjin 300074, China

  • Email：guoling1014@126.com
  • Introduction：郭玲，研究方向为气象预报服务。E-mail：guoling1014@126.com
GUO Ling2*,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

CHEN Liangfu3,  
  • Affiliation：

    State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing 100101, China

TAO Jinhua3,  
  • Affiliation：

    School of Geography and Information Engineering, China University of Geosciences(Wuhan), Wuhan 430074, China

GUI Lu1

ملخص

Fine particulate matter (PM2.5) is a dynamic and complex mixture of particle matter with an aerodynamic diameter equal or less than 2.5 µm that can seriously affect the air quality and public health. High spatial and temporal resolution PM2.5 data is a basic requirement for public health risk assessment and epidemiological research. Compared with ground-based datasets, satellite remote sensing provides continuous, wide space coverage and low-cost observation, and the PM2.5 mass concentrations retrieval based on the satellite aerosol optical depth (AOD) has become a popular topic. This paper systematically scrutinizes the research on the near-surface PM2.5 concentration retrieved based on satellite AOD products. The basic method of estimating the PM2.5 concentration based on satellite AOD products is introduced, and the main satellite AOD products used for PM2.5 retrieval and their accuracy are described in detail. The existing PM2.5 estimation methods and their pros and cons are also discussed. Finally, the problems identified in PM2.5 retrieval research and the development direction of PM2.5 retrieval research are presented in the future.The scale factor method and the physical mechanism and statistical models can accurately estimate the PM2.5 concentrations at different degrees in different periods, but the scale factor method and the physical mechanism model are less used than the statistical model because of their limitations. Statistical models have been widely used and improved due to their unique descriptive ability of temporal or spatiotemporal heterogeneity and strong nonlinear description ability. However, the current PM2.5 retrieve research has three main limitations: 1. the non-random missing problem of satellite AOD causes missing PM2.5 data; 2. inaccuracy of retrieval models, and 3. Poor chemical composition estimation of PM2.5. Therefore, to accurately reveal the spatial and temporal trends of near-ground PM2.5 and improve the accuracy of the near-ground PM2.5 calculated from satellite AOD products, we predict several future research directions. First, the AOD products of new high-spatial-resolution (such as FY-4 and GF-5) and high-temporal-resolution (HIMAWARI-8/-9) satellites could greatly promote the research on PM2.5 estimation, which is of great significance to the reconstruction of PM2.5 concentrations with high spatial-temporal resolutions. Second, with the development of atmospheric detection technology, satellite-based, airborne, and ground-based lidar can obtain vertical distribution information, and the particle matter sensor carried on UAVs can achieve the vertical monitoring of PM2.5, which can be combined with optical remote sensing satellite and ground monitoring data to achieve three-dimensional PM2.5 concentration retrieval. Finally, PM2.5 chemical component information is particularly important for analyzing the cause of pollution and exposure characteristics, and its space–time change trend research is an important development direction. However, the ground PM2.5 component observation network is still imperfect, and overcoming the dependence on ground station network in satellite remote sensing estimation and achieving the high-precision retrieval of chemical composition need further study.This study is helpful in further understanding the principles, advantages, and disadvantages of different PM2.5 estimation methods, providing inspiration for the new development direction of near-surface PM2.5 concentrations retrieval based on satellite AOD products, and improving the accuracy and spatial-temporal resolution of near-surface PM2.5 concentrations retrieval.

مفهوم

PM2.5;satellite remote sensing;AOD;estimation methods

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