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Atmosphere
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Satellite Observation and Assessment of Air Quality in China: Recent...
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Special Issue "Satellite Observation and Assessment of Air Quality in China: Recent Trends, Current Progress and Future Directions"

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Air Quality".

Deadline for manuscript submissions: 20 April 2023 | Viewed by 2037

Special Issue Editors

Dr. Yong Zhang

E-Mail Website
Guest Editor
National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
Interests: atmospheric remote sensing; thermal infrared remote sensing; satellite observation and assessment of air quality; calibration and validation; satellite instrumentation technologies; advanced retrieval algorithm development
Prof. Dr. Siwei Li

E-Mail Website
Guest Editor
School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Interests: atmospheric radiative transfer; atmospheric remote sensing; atmospheric correction; atmospheric chemistry model; clouds and aerosols interaction; air pollution; climate change; machine learning techniques
Special Issues, Collections and Topics in MDPI journals
Dr. Shupeng Wang

E-Mail Website
Guest Editor
National Satellite Meteorological Center, China Meteorological Administration, Beijing 100081, China
Interests: atmospheric remote sensing; carbon dioxide retrieval; methane retrieval; air pollution; multi-angle polarization aerosol retrieval; satellite instrumentation technologies
Special Issues, Collections and Topics in MDPI journals
Dr. Li Fang

E-Mail
Guest Editor
China Centre for Resources Satellite Data and Application, Beijing 100094 , China
Interests: aerosol remote sensing; multi-angle polarization; atmospheric correction; calibration and validation; atmospheric data fusion
Dr. Fu Wang

E-Mail Website
Guest Editor
CMA Earth System Modeling and Prediction Centre (CEMC), Beijing 100081, China
Interests: aerosol–cloud interaction; satellite data assimilation; air pollution

Special Issue Information

Dear Colleagues,

Air quality has become one of the most significant worldwide environmental concerns. It has been estimated that more than 90% of the world’s population live in areas where the levels of air pollutants exceed the recommended limits, leading to 8 million premature deaths each year. Besides human health, air pollution has harmful effects on climate, agriculture, and industry. Despite increased awareness of the hazards associated with air pollution, there remain significant gaps in our understanding of the science of air quality.  In addition to local emissions, the transport of air pollutants from neighboring regions adversely affects air quality. To better understand the properties and sources of key atmospheric pollutants, it is important to quantify their specific atmospheric composition concentrations, monitor their variations, and analyze different scenarios to assess air pollution levels at a large scale.

In recognition of this necessity, the open-access journal Atmosphere is hosting a Special Issue to bring together the most recent findings related to satellite observation and assessment of air quality in China. This Special Issue invites novel contributions dealing with remote sensing of air quality, including through combination with in situ data, modeling approaches, and the synergy of different instrumentations and techniques. Original research on air pollution modeling and satellite retrieval as well as the assessment of impacts on public health and natural environments are welcome.

Dr. Yong Zhang
Prof. Dr. Siwei Li
Dr. Shupeng Wang
Dr. Li Fang
Dr. Fu Wang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Atmosphere is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • satellite instrumentation technologies for air quality
  • satellite observation data record analysis for air quality
  • developments in radiative transfer modeling for satellite observations
  • advanced retrieval algorithm development
  • air quality and climate change
  • air quality forecasting
  • machine learning for air quality
  • air quality modeling
  • air quality assessment
  • air quality model assessment
  • satellite data assimilation development in air quality observation
  • satellite data assimilation development in air quality assessment

Published Papers (2 papers)

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Research

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Article
Hybrid Methods’ Integration for Remote Sensing Monitoring and Process Analysis of Dust Storm Based on Multi-Source Data
by
Yanjiao Wang
,
Jiakui Tang
,
Zili Zhang
,
Wuhua Wang
,
Jiru Wang
and
Zhao Wang
Atmosphere 2023, 14(1), 3; https://doi.org/10.3390/atmos14010003 - 20 Dec 2022
Viewed by 791
Abstract
Dust storms are of great importance to climate change, air quality, and human health. In this study, a complete application frame of integrating hybrid methods based on multi-source data is proposed for remote sensing monitoring and process analysis of dust storms. In the [...] Read more.
Dust storms are of great importance to climate change, air quality, and human health. In this study, a complete application frame of integrating hybrid methods based on multi-source data is proposed for remote sensing monitoring and process analysis of dust storms. In the frame, horizontal spatial distribution of dust intensity can be mapped by optical remote sensing products such as aerosol optical depth (AOD) from MODIS; the vertical spatial distribution of dust intensity by LIDAR satellite remote sensing products such as AOD profile from CALIPSO; geostationary satellite remote sensing products such as Chinese Fengyun or Japanese Himawari can achieve high-frequency temporal distribution information of dust storms. More detailed process analysis of dust storms includes air quality analysis supported by particulate matter (PM) data from ground stations and the dust emission trace and transport pathways from HYSPLIT back trajectory driven by meteorological data from the Global Data Assimilation System (GDAS). The dust storm outbreak condition of the source location can be proved by precipitation data from the WMO and soil moisture data from remote sensing products, which can be used to verify the deduced emission trace from HYSPLIT. The proposed application frame of integrating hybrid methods was applied to monitor and analyze a very heavy dust storm that occurred in northern China from 14–18 March 2021, which was one of the most severe dust storms in recent decades. Results showed that the dust storm event could be well monitored and analyzed dynamically. It was found that the dust originated in western Mongolia and northwestern China and was then transmitted along the northwest–southeast direction, consequently affected the air quality of most cities of northern China. The results are consistent with the prior research and showed the excellent potential of the integration of the hybrid methods in monitoring dust storms. Full article
(This article belongs to the Special Issue Satellite Observation and Assessment of Air Quality in China: Recent Trends, Current Progress and Future Directions)
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Article
Aerosol Retrieval over Land from the Directional Polarimetric Camera Aboard on GF-5
by
Shupeng Wang
,
Weishu Gong
,
Li Fang
,
Weihe Wang
,
Peng Zhang
,
Naimeng Lu
,
Shihao Tang
,
Xingying Zhang
,
Xiuqing Hu
and
Xiaobing Sun
Atmosphere 2022, 13(11), 1884; https://doi.org/10.3390/atmos13111884 - 11 Nov 2022
Cited by 1 | Viewed by 774
Abstract
The DPC (Directional Polarization Camera) onboard the Chinese GaoFen-5 (GF-5) satellite is the first operational aerosol monitoring instrument capable of performing multi-angle polarized measurements in China. Compared with POLDER (Polarization and Directionality of Earth’s Reflectance) which ended its mission in December 2013, DPC [...] Read more.
The DPC (Directional Polarization Camera) onboard the Chinese GaoFen-5 (GF-5) satellite is the first operational aerosol monitoring instrument capable of performing multi-angle polarized measurements in China. Compared with POLDER (Polarization and Directionality of Earth’s Reflectance) which ended its mission in December 2013, DPC has similar band design, with a maximum of 12 imaging angles and a relatively higher spatial resolution of 3.3 km. The global aerosol optical depth (AOD) over land from October to December in 2018 was retrieved with multi-angle polarization measurements of DPC. Comparisons with MODIS (Moderate Resolution Imaging Spectroradiometer) AOD products show relatively good agreement over fine-aerosol-particle-dominated areas such as northern China and Huanghuai areas in eastern China, the southern foothills of the Himalayas and India. AERONET (Aerosol Robotic Network) measurements over Beijing, Xianghe and Kanpur were used to evaluate the accuracy of DPC AOD retrievals. The correlation coefficients are greater than 0.9 and the RMSE are lower than 0.08 for Beijing and Xianghe stations. For Kanpur, a relatively lower correlation of 0.772 and larger RMSE of 0.082 are found. Full article
(This article belongs to the Special Issue Satellite Observation and Assessment of Air Quality in China: Recent Trends, Current Progress and Future Directions)
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