Spatio-temporal change and influencing factors of tropospheric NO&lt;inf&gt;2&lt;/inf&gt; column density of Beijing-Tianjin-Hebei Region in the decade based OMI product

Zhou, Chunyan; Li, Qing; He, Yuhong; Ma, Pengfei; Chen, Hui; Wang, Zhongting; Zhang, Lijuan; Mao, Huiqin; Zhang, Yuhuan; Chen, Cuihong

doi:10.1109/igarss.2016.7730074

Cited by 4 publications

(8 citation statements)

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“…Industrial pollution and transportation pollution are the major sources of nitrogen oxides and sulfides in the CCEZ [17,18,19]. However, to the best of our knowledge, air pollution in the CCEZ region is not as widely studied compared with that in the Beijing–Tianjin–Hebei region, Yangtze River delta, and Pearl River delta in China [20,21,22]. In recent years, China has begun to pay attention to environmental monitoring.…”

Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing

Cai

Zhang

et al. 2018

Sensors

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The Chengdu–Chongqing Economic Zone (CCEZ), which is located in southwestern China, is the fourth largest economic zone in China. The rapid economic development of this area has resulted in many environmental problems, including extremely high concentrations of nitrogen dioxide (NO2) and fine particulate matter (PM2.5). However, current ground observations lack spatial and temporal coverage. In this study, satellite remote sensing techniques were used to analyze the variation in NO2 and PM2.5 from 2005 to 2015 in the CCEZ. The Ozone Monitoring Instrument (OMI) and the Moderate Resolution Imaging Spectroradiometer (MODIS) aerosol optical depth (AOD) product were used to retrieve tropospheric NO2 vertical columns and estimate ground-level PM2.5 concentrations, respectively. Geographically, high NO2 concentrations were mainly located in the northwest of Chengdu and southeast of Chongqing. However, high PM2.5 concentrations were mainly located in the center areas of the basin. The seasonal average NO2 and PM2.5 concentrations were both highest in winter and lowest in summer. The seasonal average NO2 and PM2.5 were as high as 749.33 × 1013 molecules·cm−2 and 132.39 µg·m−3 in winter 2010, respectively. Over 11 years, the annual average NO2 and PM2.5 values in the CCEZ increased initially and then decreased, with 2011 as the inflection point. In 2007, the concentration of NO2 reached its lowest value since 2005, which was 230.15 × 1013 molecules·cm−2, and in 2015, the concentration of PM2.5 reached its lowest value since 2005, which was 26.43 µg·m−3. Our study demonstrates the potential use of satellite remote sensing to compensate for the lack of ground-observed data when quantitatively analyzing the spatial–temporal variations in regional air quality.

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Section: Introductionmentioning

confidence: 99%

Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing

Cai

Zhang

et al. 2018

Sensors

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“…“RA” is used to refer to the ratio of HCHO to NO 2 , either in VMRs (RA VMR ) or tropospheric VCD (RA VCD ). According to previous studies, O 3 production can be divided into VOCs-limited (RA < 1), transition zone (1 < RA < 2) and NO x -limited (RA > 2) [ 60 , 61 ]. In this study, in order to balance the quality and quantity of the data, only HCHO VMRs between 1 and 10 ppb and NO 2 larger than 0.1 ppb were considered for the calculation of RA [ 46 ].…”

Section: Resultsmentioning

confidence: 99%

“…The averaged NO 2 VCDs (4.69 × 10 15 molecule·cm −2 ) during our observation period are larger than the mean level (1.16 × 10 15 molecule·cm −2 ) in Heilongjiang province from 2005 to 2015 [ 60 ]. However, the mean HCHO VCDs in this study (1.19 × 10 16 molecule·cm −2 ) are lower than those (1.39 × 10 16 molecule·cm −2 ) in Heilongjiang province from 2005 to 2018 [ 61 ].…”

Section: Discussionmentioning

confidence: 99%

MAX-DOAS Measurements of Tropospheric NO2 and HCHO Vertical Profiles at the Longfengshan Regional Background Station in Northeastern China

Liu

Cheng

et al. 2023

Sensors

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The vertical profiles of nitrogen dioxide (NO2) and formaldehyde (HCHO) in the troposphere at the Longfengshan (LFS) regional atmospheric background station (127°36′ E, 44°44′ N, 330.5 m above sea level) from 24 October 2020 to 13 October 2021 were retrieved from solar scattering spectra by multi-axis differential optical absorption spectroscopy (MAX-DOAS). We analyzed the temporal variations of NO2 and HCHO as well as the sensitivity of ozone (O3) production to the concentration ratio of HCHO to NO2. The largest NO2 volume mixing ratios (VMRs) occur in the near-surface layer for each month, with high values concentrated in the morning and evening. HCHO has an elevated layer around the altitude of 1.4 km consistently. The means ± standard deviations of vertical column densities (VCDs) and near-surface VMRs were 4.69 ± 3.72 ×1015 molecule·cm−2 and 1.22 ± 1.09 ppb for NO2, and they were 1.19 ± 8.35 × 1016 molecule·cm−2 and 2.41 ± 3.26 ppb for HCHO. The VCDs and near-surface VMRs for NO2 were high in the cold months and low in the warm months, while HCHO presented the opposite. The larger near-surface NO2 VMRs appeared in the condition associated with lower temperature and higher humidity, but this relationship was not found between HCHO and temperature. We also found the O3 production at the Longfengshan station was mainly in the NOx-limited regime. This is the first study presenting the vertical distributions of NO2 and HCHO in the regional background atmosphere of northeastern China, which are significant to enhancing the understanding of background atmospheric chemistry and regional ozone pollution processes.

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“…And it is also a primary pollutant that forms acid rain, acid fog, and other air pollution phenomena (Zhou et al, 2016a). NO 2 have much to do with the formation and extinction of ozone in atmosphere and is also an essential precursor of PM 2.5 (Particulate Matter) (Qin and Zhao, 2003;Zhou et al, 2016b). NO 2 has both natural and anthropogenic sources (Tang et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…OMI (Ozone Monitoring Instrument) carried on the EOS (Earth Observing System) Aura satellite launched by NASA (National Aeronautics and Space Administration) on 15 July 2004, it can obtain daily monitoring results for NO 2 in the global atmospheric troposphere (Boersma et al, 2007). Aura-OMI is widely used due to its high spatial resolution (13 × 24 km 2 in sub-satellite pixels) and stable onorbit time (Liu et al, 2015;Zhou et al, 2016c). S5P (the Sentinel 5 precursor) with a sun-synchronous orbit satellite was launched on 13 October 2017 (Veefkind et al, 2012), it is designed for monitoring global air quality and acquiring the atmospheric composition information daily, includingNO 2 , SO 2 , O 3 , CO (carbon monoxide), CH 4 , HCHO (formaldehyde), and aerosol (Veefkind et al, 2012;Wang and Su, 2020).…”

Section: Introductionmentioning

confidence: 99%

The variability of NO2 concentrations over China based on satellite and influencing factors analysis during 2019–2021

Zhang,

Chen,

Guo

et al. 2024

Front. Environ. Sci.

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The variation of tropospheric nitrogen dioxide (NO2) vertical column densities (VCDs) indirectly reflects the difference in pollution emissions from industrial production and transportation. Accurately analyzing its pollution sources and driving factors plays an important role in energy conservation, emission reduction, and air pollution reduction. NO2 concentration products of Sentinel-5P (Sentinel-5 Precursor) TROPOMI (TROPOspheric Monitoring Instrument) from 2019 to 2021 and Aura OMI (Ozone Monitoring Instrument) from 2009 to 2021, combined with China’s main energy consumption, the growth value of the industry, Gross Domestic Product (GDP), and other data were used to analyze the influencing factors of NO2 variations. Firstly, NO2 tropospheric vertical column densities (NO2 TVCDs) of China increased by 14.72% and 3.26% in 2021 and 2020 compared with the 2019. The secondary and tertiary industry and the national energy consumption increased synchronously, which was highly related to the increase in NO2 TVCDs. Secondly, the impact of COVID-19 (coronavirus disease 2019) on China’s industrial production and residents was mainly concentrated in the first quarter of 2020, which leading to a decline in the annual average NO2 concentration in densely populated areas in 2020 compared to the same period in 2019. The industrial production scale and production capacity has gradually recovered since April 2020, and the NO2 concentration has gradually reached or exceeded the level of the same period of 2019. Finally, atmospheric pollution prevention and control measures played a positive role in the decline of NO2 of China.

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Spatio-temporal change and influencing factors of tropospheric NO<inf>2</inf> column density of Beijing-Tianjin-Hebei Region in the decade based OMI product

Cited by 4 publications

References 1 publication

Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing

Spatial–Temporal Variations in NO2 and PM2.5 over the Chengdu–Chongqing Economic Zone in China during 2005–2015 Based on Satellite Remote Sensing

MAX-DOAS Measurements of Tropospheric NO2 and HCHO Vertical Profiles at the Longfengshan Regional Background Station in Northeastern China

The variability of NO2 concentrations over China based on satellite and influencing factors analysis during 2019–2021

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