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Stereoscopic Remote Sensing of Atmospheric Ozone and Its Precursors and Its Applications

A special issue of Remote Sensing (ISSN 2072-4292). This special issue belongs to the section "Atmospheric Remote Sensing".

Deadline for manuscript submissions: closed (30 July 2024) | Viewed by 4600

Special Issue Editors

Prof. Dr. Cheng Liu

E-Mail Website
Guest Editor
School of Engineering Science, University of Science and Technology of China, 96 Jinzhai Road, Hefei 230026, China
Interests: satellite remote sensing; ground based remote sensing (MAX-DOAS, FTS, Lidar); deep learning
Special Issues, Collections and Topics in MDPI journals
Dr. Manuel Antón

E-Mail Website
Guest Editor
Department of Physics, Universidad de Extremadura, 06006 Badajoz, Spain
Interests: solar radiation; clouds; aerosols; water vapor; ozone
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Ozone pollution is becoming an increasingly prominent problem, which is mainly derived from atmospheric photochemical reactions of its precursors (VOCs, NOx, etc.), as well as stratospheric invasion. The monitoring of the atmospheric ozone and its precursors is critical to understanding the sources and causes of ozone pollution, which can support air quality management and reduce human exposure. Despite the current monitoring networks being insufficient for full understanding of the formation and source attribution of ozone pollution at the surface, the need for the development of an international stereoscopic monitoring strategy is emphasized due to the inhomogeneity of ozone pollution in both the horizontal and vertical directions. The stereoscopic monitoring and analysis strategy based on technologies such as multi-platform remote sensing (satellites, ground-based and mobile) and modeling will help us to more effectively characterize the formation of ozone pollution, leading to an advanced diagnostic understanding and prediction of ozone pollution.

This Special Issue aims to present studies on stereoscopic remote sensing and model simulation and analysis of the atmospheric ozone and its precursors. Topics can cover all aspects related to the monitoring, modeling and analysis of the atmospheric ozone and its precursors.

Prof. Dr. Cheng Liu
Dr. Manuel Antón
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. Remote Sensing is an international peer-reviewed open access semimonthly 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 2700 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 remote sensing
  • ground-based remote sensing
  • ozone
  • ozone precursors
  • NOx
  • VOCs
  • monitoring
  • chemistry
  • modeling
  • multi-source data fusion
  • machine learning

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Published Papers (3 papers)

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Research

27 pages, 12671 KiB  
Article
Ozone Profile Retrieval Algorithm Based on GEOS-Chem Model in the Middle and Upper Atmosphere
by Yuan An, Xianhua Wang, Hanhan Ye, Hailiang Shi, Shichao Wu, Chao Li and Erchang Sun
Remote Sens. 2024, 16(8), 1335; https://doi.org/10.3390/rs16081335 - 10 Apr 2024
Viewed by 1194
Abstract
Ozone absorbs ultraviolet radiation, which has a significant impact on research in astrobiology and other fields in that investigate the middle and upper atmosphere. A retrieval algorithm for ozone profiles in the middle and upper atmosphere was developed using the spectral data from [...] Read more.
Ozone absorbs ultraviolet radiation, which has a significant impact on research in astrobiology and other fields in that investigate the middle and upper atmosphere. A retrieval algorithm for ozone profiles in the middle and upper atmosphere was developed using the spectral data from the TROPOspheric Monitoring Instrument (TROPOMI). A priori ozone profiles were constructed through the Goddard Earth Observing System-Chem (GEOS-Chem) model. These profiles were closer to the true atmosphere in the spatial and temporal dimensions when compared to the ozone climatology. The TpO3 ozone climatology was used as a reference to highlight the reliability of the a priori ozone profile from GEOS-Chem. The inversion results based on GEOS-Chem and TpO3 climatology were compared with ground-based ozone measurements and the satellite products of the Microwave Limb Sounder (MLS) and the Ozone Mapping and Profiles Suite_Limb Profile (OMPS_LP). The comparisons reveal that the correlation coefficient R values for the inversion results based on GEOS-Chem were greater than 0.90 at most altitudes, making them better than the values based on TpO3 climatology. The differences in subcolumn concentration between the GEOS-Chem inversion results and the ground-based measurements were smaller than those between TpO3 climatology results and the ground-based measurements. The relative differences between the inversion results based on the GEOS-Chem and the satellite products was generally smaller than those between the inversion results based on TpO3 climatology and the satellite products. The mean relative difference between the GEOS-Chem inversion results and MLS is −9.10%, and OMPS_LP is 1.46%, while those based on TpO3 climatology is −14.51% and −4.70% from 20 to 45 km These results imply that using a priori ozone profiles generated through GEOS-Chem leads to more accurate inversion results. Full article
(This article belongs to the Special Issue Stereoscopic Remote Sensing of Atmospheric Ozone and Its Precursors and Its Applications)
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18 pages, 6837 KiB  
Article
Analysis of Ozone Formation Sensitivity in Chinese Representative Regions Using Satellite and Ground-Based Data
by Yichen Li, Chao Yu, Jinhua Tao, Xiaoyan Lu and Liangfu Chen
Remote Sens. 2024, 16(2), 316; https://doi.org/10.3390/rs16020316 - 12 Jan 2024
Cited by 3 | Viewed by 1715
Abstract
O3 poses a significant threat to human health and the ecological environment. In recent years, O3 pollution has become increasingly serious, making it difficult to accurately control O3 precursor emissions. Satellite indicator methods, such as the FNR (formaldehyde-to-nitrogen dioxide ratio [...] Read more.
O3 poses a significant threat to human health and the ecological environment. In recent years, O3 pollution has become increasingly serious, making it difficult to accurately control O3 precursor emissions. Satellite indicator methods, such as the FNR (formaldehyde-to-nitrogen dioxide ratio (HCHO/NO2 ratio)), provide an effective way to identify ozone pollution control areas on a large geographical scale due to their simple acquisition of datasets. This can help determine the primary factors contributing to O3 pollution and assist in managing it. Based on TROPOMI data from May 2018 to December 2022, combined with ground-based monitoring data from the China National Environmental Monitoring Centre, we explored the uncertainty associated with using the HCHO/NO2 ratio (FNR) as an indicator in ozone control area determination. We focused on the four representative regions in China: Jing-Jin-Ji-Lu-Yu (JJJLY), Jiang-Zhe-Hu-Wan (JZHW), Chuan-Yu (CY), and South China. By using the statistical curve-fitting method, we found that the FNR thresholds were 3.5–5.1, 2.0–4.0, 2.5–4.2, and 1.7–3.5, respectively. Meanwhile, we analyzed the spatial and temporal characteristics of the HCHO, NO2, and O3 control areas. The HCHO concentrations and NO2 concentrations had obvious cyclical patterns, with higher HCHO column densities occurring in summer and higher NO2 concentrations in winter. These high values always appeared in areas with dense population activities and well-developed economies. The distribution characteristics of the ozone control areas indicated that during O3 pollution periods, the urban areas with industrial activities and high population densities were primarily controlled by VOCs, and the suburban areas gradually shifted from VOC-limited regimes to transitional regimes and eventually reverted back to VOC-limited regimes. In contrast, the rural and other remote areas with relatively less development were mainly controlled by NOx. The FNR also exhibited periodic variations, with higher values mostly appearing in summer and lower values appearing in winter. This study identifies the main factors contributing to O3 pollution in different regions of China and can serve as a valuable reference for O3 pollution control. Full article
(This article belongs to the Special Issue Stereoscopic Remote Sensing of Atmospheric Ozone and Its Precursors and Its Applications)
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Graphical abstract

18 pages, 5302 KiB  
Article
Differences in the Vertical Distribution of Aerosols, Nitrogen Dioxide, and Formaldehyde between Islands and Inland Areas: A Case Study in the Yangtze River Delta of China
by Jinping Ou, Qihou Hu, Chengzhi Xing, Yizhi Zhu, Jiaxuan Feng, Xinqi Wang, Xiangguang Ji, Hua Lin, Hao Yin and Cheng Liu
Remote Sens. 2023, 15(23), 5475; https://doi.org/10.3390/rs15235475 - 23 Nov 2023
Cited by 1 | Viewed by 1097
Abstract
Due to the difference of industrialization degree and meteorological conditions, there are obvious differences in the composition of air pollution between islands and inland areas. With Zhoushan (ZS) and Nanjing (NJ) representing islands and inland cities in the Yangtze River Delta, the differences [...] Read more.
Due to the difference of industrialization degree and meteorological conditions, there are obvious differences in the composition of air pollution between islands and inland areas. With Zhoushan (ZS) and Nanjing (NJ) representing islands and inland cities in the Yangtze River Delta, the differences in vertical distribution of atmospheric components were investigated. A combination of multi-axial differential optical absorption spectroscopy (MAX-DOAS), weather research and forecasting (WRF), and potential source contribution function (PSCF) models were used to obtain vertical distribution data for aerosols, nitrogen dioxide (NO2) and formaldehyde (HCHO), meteorological factors, and pollution sources in summer 2019. The findings indicate that, except for the aerosol extinction coefficient (AE), the atmospheric composition at the ZS site was not significantly stratified. However, the AE, NO2, and HCHO at NJ all displayed a decreasing trend with altitude. Here is the interesting finding that the ZS site has a higher AE value than the NJ site, while NJ displays higher NO2 and HCHO columns than the ZS site. This discrepancy was primarily attributable to Zhoushan City’s extremely low traffic emissions when compared to inland cities. In addition, HCHO in the YRD region was significantly affected by human activities. Analysis of potential pollution sources found that regional transport contributed to differences in atmospheric composition at different altitudes in different regions. Aerosols, NO2, and HCHO in Nanjing were significantly affected by transport in inland areas. Aerosols in Zhoushan were easily affected by transport in the Yellow Sea and East China Sea, and NO2 and HCHO were significantly affected by transport contributions from surrounding areas in inland areas. The study strongly suggests that land and sea breezes play an important role in the vertical distribution of aerosols over island regions. Full article
(This article belongs to the Special Issue Stereoscopic Remote Sensing of Atmospheric Ozone and Its Precursors and Its Applications)
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