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Ground-Level NO2 Concentrations over China Inferred from the Satellite OMI and CMAQ Model Simulations
- Source :
- Remote Sensing, Volume 9, Issue 6, Pages: 519
- Publication Year :
- 2017
- Publisher :
- MDPI AG, 2017.
-
Abstract
- In the past decades, continuous efforts have been made at a national level to reduce Nitrogen Dioxide (NO2) emissions in the atmosphere over China. However, public concern and related research mostly deal with tropospheric NO2 columns rather than ground-level NO2 concentrations, but actually ground-level NO2 concentrations are more closely related to anthropogenic emissions, and directly affect human health. This paper presents one method to derive the ground-level NO2 concentrations using the total column of NO2 observed from the Ozone Monitoring Instrument (OMI) and the simulations from the Community Multi-scale Air Quality (CMAQ) model in China. One year’s worth of data from 2014 was processed and the results compared with ground-based NO2 measurements from a network of China’s National Environmental Monitoring Centre (CNEMC). The standard deviation between ground-level NO2 concentrations over China, the CMAQ simulated measurements and in-situ measurements by CNEMC for January was 21.79 μg/m3, which was improved to a standard deviation of 18.90 μg/m3 between our method and CNEMC data. Correlation coefficients between the CMAQ simulation and in-situ measurements were 0.75 for January and July, and they were improved to 0.80 and 0.78, respectively. Our results revealed that the method presented in this paper can be used to better measure ground-level NO2 concentrations over China.
- Subjects :
- Ozone Monitoring Instrument
010504 meteorology & atmospheric sciences
Meteorology
ground-level concentrations
OMI
0211 other engineering and technologies
02 engineering and technology
01 natural sciences
Standard deviation
Troposphere
Atmosphere
chemistry.chemical_compound
CMAQ
chemistry
NO2
Environmental monitoring
General Earth and Planetary Sciences
Environmental science
Nitrogen dioxide
Air quality index
profile shape
021101 geological & geomatics engineering
0105 earth and related environmental sciences
Subjects
Details
- ISSN :
- 20724292
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Remote Sensing
- Accession number :
- edsair.doi.dedup.....c8f7d8dba73165c9671d8563cd88b3a8