Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory

Kim, Hyun Cheol; Kim, Soontae; Lee, Sang‐Hyun; Kim, Byeong-Uk; Lee, Pius

doi:10.3390/atmos11010101

Cited by 23 publications

(15 citation statements)

References 75 publications

(82 reference statements)

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“…Its resolution is higher than that of similar previous instruments such as OMI and GOME-2. TROPOMI’s ability to resolve individual emissions sources and plumes has been demonstrated in regional validation studies of the Canadian Oil Sands ( 58 ), Helsinki ( 59 ), and South Korea ( 60 ), which verified TROPOMI’s performance against ground-based spectroscopy, ground-based monitors, and integrated air quality models.…”

Section: Methodsmentioning

confidence: 84%

Air pollution impacts of COVID-19–related containment measures

Chossière

Dixit

et al. 2021

Sci. Adv.

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Responses to the COVID-19 outbreak resulted in one of the largest short-term decreases in anthropogenic emissions in modern history. To date, there has been no comprehensive assessment of the impact of lockdowns on air quality and human health. Using global satellite observations and ground measurements from 36 countries in Europe, North America, and East Asia, we find that lockdowns led to reductions in NO2 concentrations globally, resulting in ~32,000 avoided premature mortalities, including ~21,000 in China. However, we do not find corresponding reductions in PM2.5 and ozone globally. Using satellite measurements, we show that the disconnect between NO2 and ozone changes stems from local chemical regimes. The COVID-related lockdowns demonstrate the need for targeted air quality policies to reduce the global burden of air pollution, especially related to secondary pollutants.

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Section: Methodsmentioning

confidence: 84%

Air pollution impacts of COVID-19–related containment measures

Chossière

Dixit

et al. 2021

Sci. Adv.

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“…2b). Contrary to NO x emissions, PM 2.5 concentrations typically show a slight increase near LNY, likely due to increased PM 2.5 emissions from fireworks, a long-held tradition in China (Kong et al, 2015), and show only a relatively moderate reduction from typical levels (by 10 %-20 %) over the remainder of the spring festival. Unlike NO x emissions, the case of PM 2.5 involves both direct emissions of particulate matter and gas-to-particle conversion of emitted precursors (e.g., SO 2 , NO x , NH 3 , VOCsvolatile organic compounds) mediated by atmospheric chemical transformations.…”

Section: Time-series Analysismentioning

confidence: 93%

Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity

Kim

Cohen

et al. 2021

Atmos. Chem. Phys.

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Abstract. Sixty days after the lockdown of Hubei Province, where the coronavirus was first reported, China's true recovery from the pandemic remained an outstanding question. This study investigates how human activity changed during this period using observations of surface pollutants. By combining surface data with a three-dimensional chemistry model, the impacts of meteorological variations and variations in yearly emission control are minimized, demonstrating how pollutant levels over China changed before and after the Lunar New Year from 2017 to 2020. The results show that the reduction in NO2 concentrations, an indicator of emissions in the transportation sector, was clearly greater and longer in 2020 than in normal years and started to recover after 15 February. By contrast, PM2.5 emissions had not yet recovered by the end of March, showing a reduction of around 30 % compared with normal years. SO2 emissions were not affected significantly by the pandemic. An additional model study using a top–down emission adjustment still confirms a reduction of around 25 % in unknown surface PM2.5 emissions over the same period, even after realistically updating SO2 and NOx emissions. This evidence suggests that different economic sectors in China may be recovering at different rates, with the fastest recovery in transportation and a slower recovery likely in agriculture. The apparent difference between the recovery timelines of NO2 and PM2.5 implies that monitoring a single pollutant alone (e.g., NOx emissions) is insufficient to draw conclusions on the overall recovery of the Chinese economy.

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“…This normalised flag is to be used as a threshold for discarding poor-quality retrievals from useful ones. Most authors use the default threshold value of 0.75 [2,3,36,37]. However, this highly limits the number of retrievals in temperate climate due to intensive cloud cover, especially during the winter months.…”

Section: Tropomimentioning

confidence: 99%

Spatial and Temporal Variation of NO2 Vertical Column Densities (VCDs) over Poland: Comparison of the Sentinel-5P TROPOMI Observations and the GEM-AQ Model Simulations

2021

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The TROPOMI instrument aboard Sentinel-5P is a relatively new, high-resolution source of information about atmosphere composition. One of the primary atmospheric trace gases that we can observe is nitrogen dioxide. Thanks to TROPOMI capabilities (high resolution and short revisit time), one can describe regional and seasonal NO2 concentration patterns. Thus far, such patterns have been analysed by either ground measurements (which have been limited to specific locations and only to the near-surface troposphere layer) or numerical models. This paper compares the TROPOMI and GEM-AQ derived vertical column densities (VCD) over Poland, focusing on large point sources. Although well established in atmospheric science, the GEM-AQ simulations are always based on emission data, which in the case of the energy sector were reported by stack operators. In addition, we checked how cloudy conditions influence TROPOMI results. Finally, we tried to link the NO2 column number densities with surface concentration using boundary layer height as an additional explanatory variable. Our results showed a general underestimation of NO2 tropospheric column number density by the GEM-AQ model (compared to the TROPOMI). However, for the locations of the most significant point sources, we noticed a systematic overestimation by the GEM-AQ model (excluding spring and summer months when TROPOMI presents larger NO2 VCDs than GEM-AQ). For the winter months, we have found TROPOMI NO2 VCD results highly dependent on the choice of qa_value threshold.

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Fine-Scale Columnar and Surface NOx Concentrations over South Korea: Comparison of Surface Monitors, TROPOMI, CMAQ and CAPSS Inventory

Cited by 23 publications

References 75 publications

Air pollution impacts of COVID-19–related containment measures

Air pollution impacts of COVID-19–related containment measures

Quantitative assessment of changes in surface particulate matter concentrations and precursor emissions over China during the COVID-19 pandemic and their implications for Chinese economic activity

Spatial and Temporal Variation of NO2 Vertical Column Densities (VCDs) over Poland: Comparison of the Sentinel-5P TROPOMI Observations and the GEM-AQ Model Simulations

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