Spatio-temporal characterization of tropospheric ozone and its precursor pollutants NO2 and HCHO over South Asia

Baruah, Ujjal Deka; Robeson, Scott M.; Saikia, Anup; Mili, Nitashree; Sung, Kang; Chand, Pritam

doi:10.1016/j.scitotenv.2021.151135

Cited by 25 publications

(8 citation statements)

References 77 publications

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“…Many studies have taken advantage of this favourable vertical distribution of NO2 to derive surface emissions of NO2 from space (Silvern et al, 2019;Boersma et al, 2009;Streets et al, 2013;Anand and Monks, 2017;Lu et al, 2015;Ghude et al, 2013;Cooper et al, 2020). Meanwhile, the use of NO2 column measurements to explore tropospheric O3 sensitivities has been the subject of several past studies, which disclosed that this diagnosis of O3 production rate (PO3) is consistent with the findings of surface photochemistry (Jin et al, 2017;Jin and Holloway, 2015;Sun et al, 2018;Yin et al, 2021b;Souri et al, 2017;Sun et al, 2021b;Jin et al, 2020;Choi and Souri, 2015;Schroeder et al, 2017;Baruah et al, 2021).…”

Section: Comparisons With the Cnmec Datamentioning

confidence: 73%

Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Yin

Sun

Notholt

et al. 2022

Preprint

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Abstract. Nitrogen dioxide (NO2) is mainly affected by local emission and meteorology rather than long-range transport. Accurate acknowledge of its long-term variabilities and drivers are significant for understanding the evolutions of economic and social development, anthropogenic emission, and the effectiveness of pollution control measures on regional scale. In this study, we quantity the long-term variabilities and the underlying drivers of NO2 from 2005 to 2020 over the Yangtze River Delta (YRD), one of the most densely populated and highly industrialized city clusters in China, using OMI space borne observations and the multiple linear regression (MLR) model. We have compared the space borne tropospheric results to the surface in-situ data, yielding correlation coefficients of 0.8 to 0.9 over all megacities within the YRD. As a result, the tropospheric NO2 column measurements can be used as representatives of near-surface conditions, and we thus only use ground-level meteorological data for MLR regression. The inter-annual variabilities of tropospheric NO2 vertical column densities (VCDs) from 2005 to 2020 over the YRD can be divided into two stages. The first stage was from 2005 to 2011, which showed overall increasing trends with a wide range of (1.91 ± 1.50) to (6.70 ± 0.10) × 1014 molecules/cm2·yr−1 (p < 0.01) over the YRD. The second stage was from 2011 to 2020, which showed over all decreasing trends of (−6.31 ± 0.71) to (−11.01 ± 0.90) × 1014 molecules/cm2·yr−1 (p < 0.01) over each of the megacities. The seasonal cycles of tropospheric NO2 VCDs over the YRD are mainly driven by meteorology (81.01 % – 83.91 %) except during winter when anthropogenic emission contributions are pronounced (16.09 % – 18.99 %). The inter annual variabilities of tropospheric NO2 VCDs are mainly driven by anthropogenic emission (69.18 % – 81.34 %) except for a few years such as 2018 which are partly attributed to meteorology anomalies (39.07 % – 91.51 %). The increasing trends in tropospheric NO2 VCDs from 2005 to 2011 over the YRD are mainly attributed to high energy consumption associated with rapid economic growth which cause significant increases in anthropogenic NO2 emissions. The decreasing trends in tropospheric NO2 VCDs from 2011 to 2020 over the YRD are mainly attributed to the stringent clean air measures which either adjust high energy industrial structure toward low energy industrial structure or directly reduce pollutant emissions from different industrial sectors.

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Section: Comparisons With the Cnmec Datamentioning

confidence: 73%

Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Yin

Sun

Notholt

et al. 2022

Preprint

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“…The ozone increase over China during this period is slightly smaller than that over India. Several studies based on satellite observations have shown that NO X emissions in China have been declining since 2012 due to stringent air pollution controls (e.g., Duncan et al., 2016; Krotkov et al., 2016; Liu, Beirle, et al., 2017), whereas in India NO X emissions have continued increasing with a related deterioration in air quality (e.g., Baruah et al., 2022). The strong positive trend of tropospheric column ozone over Indonesia is driven by intense fire activity in recent years as well as increasing pollution (Rosanka et al., 2021).…”

Section: Tropospheric Ozone Change and Its Contribution To Changes In...mentioning

confidence: 99%

“…The averaged TCO increases ranged from 1.5 to 3 DU during the past 14 years over many polluted regions with maxima over India, China and Indonesia. The strong positive trends of tropospheric ozone over India and China are primarily driven by their anthropogenic emissions increases (Baruah et al., 2022; Cooper et al., 2014; Lal et al., 2012; Lu et al., 2018; Gaudel et al., 2020; Sun et al., 2016; Wang et al., 2017). The ozone increase over China during this period is slightly smaller than that over India.…”

Section: Tropospheric Ozone Change and Its Contribution To Changes In...mentioning

confidence: 99%

Change in Tropospheric Ozone in the Recent Decades and Its Contribution to Global Total Ozone

et al. 2022

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The ozone (O 3 ) layer in the stratosphere plays an important role in shielding the biosphere from dangerous solar ultraviolet (UV) radiation, shapes the temperature structure of the stratosphere, and consequently has a direct impact on the general circulation and tropospheric climate. The large ozone decline has been observed from the early satellite era (∼1980) to the mid-1990s due to the increase of ozone-depleting substances (ODSs) (WMO, 2014). The concentrations of major ODSs have been declining with successful regulation of the Montreal Protocol since the late 1990s. Many studies based on observations and modeling have shown that latitudinally dependent ozone increases in the upper stratosphere from 2000 to 2016, as a result of declining ODSs and the enhancement of upper-stratospheric cooling associated with increases in greenhouse gases (GHG) (e.g.,

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“…GEMS can observe the atmospheric environment of East Asia 6-10 times a day, thereby reducing the space-time limitation of the satellite [23,24]. The verification of various methods for reliability analysis is essential because GEMS is the first air quality species observation payload operated in GEO. In this study, to ensure the reliability of GEMS observations, the spatial distribution of the East Asian region was analyzed using the initial data of the pilot operation and compared with that reported in previous studies [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42]. The reliability was analyzed by comparing it with the data observed from an existing LEO satellite.…”

Section: Introductionmentioning

confidence: 99%

Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS)

Choi,

Moon,

Kim

et al. 2023

Atmosphere

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Air pollutants adversely affect human health, and thus a global improvement in air quality is urgent. A Geostationary Environment Monitoring Spectrometer (GEMS) was mounted on the geostationary Chollian 2B satellite in 2020 to observe the spatial distribution of air pollution, and sequential observations have been released since July 2022. The reliability of GEMS must be analyzed because it is the first payload on the geostationary Earth orbit satellite to observe trace gases. This study analyzed the initial results of GEMS observations such as the aerosol optical depth and vertical column densities (VCD) of ozone (O3), nitrogen dioxide (NO2), sulfur dioxide (SO2), and formaldehyde (HCHO), and compared them with previous studies. The correlation coefficient of O3 ranged from 0.90 (Ozone Monitoring Instrument, OMI) to 0.97 (TROPOspheric Monitoring Instrument, TROPOMI), whereas that of NO2 ranged from 0.47 (winter, OMI and OMPS) to 0.83 (summer, TROPOMI). GEMS yielded a higher VCD of NO2 than that of OMI and TROPOMI. Based on the sources of O3 and NO2, GEMS observed the maximum VCD at a different time (3–4 h) to that of the ground observations. Overall, GEMS can make observations several times a day and is a potential tool for atmospheric environmental analysis.

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Spatio-temporal characterization of tropospheric ozone and its precursor pollutants NO2 and HCHO over South Asia

Cited by 25 publications

References 77 publications

Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Change in Tropospheric Ozone in the Recent Decades and Its Contribution to Global Total Ozone

Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS)

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Spatio-temporal characterization of tropospheric ozone and its precursor pollutants NO2 and HCHO over South Asia

Cited by 25 publications

References 77 publications

Space borne tropospheric nitrogen dioxide (NO&lt;sub&gt;2&lt;/sub&gt;) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Space borne tropospheric nitrogen dioxide (NO&lt;sub&gt;2&lt;/sub&gt;) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Change in Tropospheric Ozone in the Recent Decades and Its Contribution to Global Total Ozone

Reliability Analysis Based on Air Quality Characteristics in East Asia Using Primary Data from the Test Operation of Geostationary Environment Monitoring Spectrometer (GEMS)

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Product

Resources

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Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers

Space borne tropospheric nitrogen dioxide (NO<sub>2</sub>) observations from 2005–2020 over the Yangtze River Delta (YRD), China: variabilities, implications, and drivers