Articles | Volume 21, issue 9
https://doi.org/10.5194/acp-21-7199-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/acp-21-7199-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Mobile monitoring of urban air quality at high spatial resolution by low-cost sensors: impacts of COVID-19 pandemic lockdown
Shibao Wang
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Yun Ma
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Zhongrui Wang
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Lei Wang
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Xuguang Chi
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Aijun Ding
School of Atmospheric Sciences, Nanjing University, Nanjing, China
Mingzhi Yao
Beijing SPC Environment Protection Tech Company Ltd., Beijing, China
Yunpeng Li
Beijing SPC Environment Protection Tech Company Ltd., Beijing, China
Qilin Li
Beijing SPC Environment Protection Tech Company Ltd., Beijing, China
Mengxian Wu
Hebei Sailhero Environmental Protection Hi-tech. Ltd.,
Shijiazhuang, Hebei, China
Ling Zhang
Hebei Sailhero Environmental Protection Hi-tech. Ltd.,
Shijiazhuang, Hebei, China
Yongle Xiao
Hebei Sailhero Environmental Protection Hi-tech. Ltd.,
Shijiazhuang, Hebei, China
Yanxu Zhang
CORRESPONDING AUTHOR
School of Atmospheric Sciences, Nanjing University, Nanjing, China
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Cited
9 citations as recorded by crossref.
- The effect of urban morphological characteristics on the spatial variation of PM2.5 air quality in downtown Nanjing T. Kokkonen et al. 10.1039/D1EA00035G
- Evaluating cost and benefit of air pollution control policies in China: a systematic review X. Liu et al. 10.1016/j.jes.2022.02.043
- Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia F. Hassan et al. 10.3390/su13137184
- AQ-Bench: a benchmark dataset for machine learning on global air quality metrics C. Betancourt et al. 10.5194/essd-13-3013-2021
- Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model V. Costa et al. 10.1016/j.apenergy.2022.118848
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data W. Che et al. 10.1016/j.jes.2022.02.041
- Modeling of Various Spatial Patterns of SARS-CoV-2: The Case of Germany A. Mościcka et al. 10.3390/jcm10071409
8 citations as recorded by crossref.
- The effect of urban morphological characteristics on the spatial variation of PM2.5 air quality in downtown Nanjing T. Kokkonen et al. 10.1039/D1EA00035G
- Evaluating cost and benefit of air pollution control policies in China: a systematic review X. Liu et al. 10.1016/j.jes.2022.02.043
- Monitoring the Impact of COVID-19 Lockdown on the Production of Nitrogen Dioxide (NO2) Pollutants Using Satellite Imagery: A Case Study of South Asia F. Hassan et al. 10.3390/su13137184
- AQ-Bench: a benchmark dataset for machine learning on global air quality metrics C. Betancourt et al. 10.5194/essd-13-3013-2021
- Future assessment of the impact of the COVID-19 pandemic on the electricity market based on a stochastic socioeconomic model V. Costa et al. 10.1016/j.apenergy.2022.118848
- A review of Space-Air-Ground integrated remote sensing techniques for atmospheric monitoring B. Zhou et al. 10.1016/j.jes.2021.12.008
- Atmospheric environment monitoring technology and equipment in China: A review and outlook Y. Sun et al. 10.1016/j.jes.2022.01.014
- Impacts of pollution heterogeneity on population exposure in dense urban areas using ultra-fine resolution air quality data W. Che et al. 10.1016/j.jes.2022.02.041
1 citations as recorded by crossref.
Latest update: 06 Jun 2023
Short summary
Mobile monitoring with low-cost sensors is a promising approach to garner high-spatial-resolution observations representative of the community scale. We develop a grid analysis method to obtain 50 m resolution maps of major air pollutants (CO, NO2, and O3) based on GIS technology. Our results demonstrate the sensing power of mobile monitoring for urban air pollution, which provides detailed information for source attribution and accurate traceability at the urban micro-scale.
Mobile monitoring with low-cost sensors is a promising approach to garner...
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