|
Light Sci Appl
Title: | Satellite UV-Vis spectroscopy: implications for air quality trends and their driving forces in China during 2005-2017 |
|
Author(s): | Zhang C; Liu C; Hu Q; Cai Z; Su W; Xia C; Zhu Y; Wang S; Liu J; |
|
Address: | "1School of Earth and Space Sciences, University of Science and Technology of China, 230026 Hefei, China. ISNI: 0000000121679639. GRID: grid.59053.3a 2Department of Precision Machinery and Precision Instrumentation, University of Science and Technology of China, 230026 Hefei, China. ISNI: 0000000121679639. GRID: grid.59053.3a 3Key Laboratory of Environmental Optics and Technology, Anhui Institute of Optics and Fine Mechanics, Chinese Academy of Sciences, 230031 Hefei, China. ISNI: 0000000119573309. GRID: grid.9227.e 4Center for Excellence in Regional Atmospheric Environment, Institute of Urban Environment, Chinese Academy of Sciences, 361021 Xiamen, China. ISNI: 0000000119573309. GRID: grid.9227.e 5Key Laboratory of Precision Scientific Instrumentation of Anhui Higher Education Institutes, University of Science and Technology of China, 230026 Hefei, China. ISNI: 0000000121679639. GRID: grid.59053.3a 6Key Laboratory of Middle Atmosphere and Global Environment Observation, Institute of Atmospheric Physics, Chinese Academy of Sciences, 100029 Beijing, China. ISNI: 0000000119573309. GRID: grid.9227.e 7Multiphase Chemistry Department, Max Planck Institute for Chemistry, 55128 Mainz, Germany. ISNI: 0000 0004 0491 8257. GRID: grid.419509.0" |
|
Journal Title: | Light Sci Appl |
Year: | 2019 |
Volume: | 20191113 |
Issue: | |
Page Number: | 100 - |
DOI: | 10.1038/s41377-019-0210-6 |
|
ISSN/ISBN: | 2047-7538 (Electronic) 2095-5545 (Print) 2047-7538 (Linking) |
|
Abstract: | "Abundances of a range of air pollutants can be inferred from satellite UV-Vis spectroscopy measurements by using the unique absorption signatures of gas species. Here, we implemented several spectral fitting methods to retrieve tropospheric NO(2), SO(2), and HCHO from the ozone monitoring instrument (OMI), with radiative simulations providing necessary information on the interactions of scattered solar light within the atmosphere. We analyzed the spatial distribution and temporal trends of satellite-observed air pollutants over eastern China during 2005-2017, especially in heavily polluted regions. We found significant decreasing trends in NO(2) and SO(2) since 2011 over most regions, despite varying temporal features and turning points. In contrast, an overall increasing trend was identified for tropospheric HCHO over these regions in recent years. Furthermore, generalized additive models were implemented to understand the driving forces of air quality trends in China and assess the effectiveness of emission controls. Our results indicated that although meteorological parameters, such as wind, water vapor, solar radiation and temperature, mainly dominated the day-to-day and seasonal fluctuations in air pollutants, anthropogenic emissions played a unique role in the long-term variation in the ambient concentrations of NO(2), SO(2), and HCHO in the past 13 years. Generally, recent declines in NO(2) and SO(2) could be attributed to emission reductions due to effective air quality policies, and the opposite trends in HCHO may urge the need to control anthropogenic volatile organic compound (VOC) emissions" |
|
Keywords: | Atmospheric optics Optical spectroscopy; |
|
Notes: | "PubMed-not-MEDLINEZhang, Chengxin Liu, Cheng Hu, Qihou Cai, Zhaonan Su, Wenjing Xia, Congzi Zhu, Yizhi Wang, Siwen Liu, Jianguo eng England 2019/11/23 Light Sci Appl. 2019 Nov 13; 8:100. doi: 10.1038/s41377-019-0210-6. eCollection 2019" |
|
|
|
|
|
Citation: El-Sayed AM 2024. The Pherobase: Database of Pheromones and Semiochemicals. <http://www.pherobase.com>.
© 2003-2024 The Pherobase - Extensive Database of Pheromones and Semiochemicals. Ashraf M. El-Sayed.
Page created on 25-11-2024
|