The dataset is a large-scale dataset that consists of 5-year spatiotemporal data in Seoul city, Korea, from 2015 to 2019. This dataset includes air pollutants, such as PM2.5, meteorological data, like temperature, wind speed, wind direction, rainfall,...; traffic volume of main roads; average driving speed on roads; and the air pollution from 3 areas in China (Beijing, Shanghai, and Shandong) that affects Seoul’s air quality.
In 2022, the air pollution level from particulate matter (PM10) in South Korea amounted to approximately ** micrograms per cubic meter. It is a decrease from ** micrograms per cubic meter in 2008.
In 2022, the annual air pollution level of particulate matter (PM2.5) in Seoul in South Korea stood at around ** micrograms per cubic meter, down from about ** micrograms per cubic meter a year ago.
Data collected for this research provides information on mixing layer heights and in-situ formaldehyde concentrations at Olympic Park during the KORUS-AQ field campaign.
This dataset is associated with the following publication: Kim, H., J. Gil, J. Jung, A. Whitehill, J. Szykman, G. Lee, D. Kim, S. Cho, J. Ahn, J. Hong, and M. Park. Factors controlling surface ozone in the Seoul Metropolitan Area During the Korus AQ campaign. Elementa: Science of the Anthropocene. University of California Press (UC Press), Oakland, CA, USA, NA, (2020).
In 2022, the air pollution level of NO2 in Seoul amounted to ** parts per billion, down from ** parts per billion in 2009. The annual emissions of NO2 in the year decreased over the years; the value recorded in the last three years was the lowest in the past decade.
In 2022, the air pollution level of particulate matter (PM10) in Seoul amounted to approximately 33 micrograms per cubic meter. It is down from about 55 micrograms per cubic meter in 2008.
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South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data was reported at 0.000 % in 2021. This stayed constant from the previous number of 0.000 % for 2020. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data is updated yearly, averaging 0.000 % from Dec 1994 (Median) to 2021, with 28 observations. The data reached an all-time high of 0.000 % in 2021 and a record low of 0.000 % in 2021. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Pollution data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.
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North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data was reported at 100.000 % in 2016. This stayed constant from the previous number of 100.000 % for 2015. North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data is updated yearly, averaging 100.000 % from Dec 1990 (Median) to 2016, with 11 observations. The data reached an all-time high of 100.000 % in 2016 and a record low of 100.000 % in 2016. North Korea KP: PM2.5 Air Pollution: Population Exposed to Levels Exceeding WHO Interim Target-3 Value: % of Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s North Korea – Table KP.World Bank: Environment: Pollution. Percent of population exposed to ambient concentrations of PM2.5 that exceed the World Health Organization (WHO) Interim Target 3 (IT-3) is defined as the portion of a country’s population living in places where mean annual concentrations of PM2.5 are greater than 15 micrograms per cubic meter. The Air Quality Guideline (AQG) of 10 micrograms per cubic meter is recommended by the WHO as the lower end of the range of concentrations over which adverse health effects due to PM2.5 exposure have been observed.; ; Brauer, M. et al. 2016, for the Global Burden of Disease Study 2016.; Weighted Average;
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South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Energy data was reported at 1.850 % in 2022. This records a decrease from the previous number of 3.084 % for 2021. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Energy data is updated yearly, averaging 7.027 % from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 9.552 % in 2001 and a record low of 1.850 % in 2022. South Korea Air Pollution: Tax Revenue: % of Total Tax Revenue: Energy data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.
In 2022, the air pollution level of ozone (O3) in South Korea amounted to around ** parts per billion. It is up from about ** parts per billion in 2008.
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This dataset includes MDA8 O3 and 24-hour NO2 concentrations measured in the Seoul Metropolitan Area from May 2018 to April 2021.
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Air pollution is closely associated with the development of respiratory illness. Behavioral adaptations of people to air pollution may influence its impact, yet this has not been investigated in the literature. Our hypothesis is that people experience and learn the underlying air quality to decide their adaptation, and they have a stronger incentive to behaviorally adapt to the air quality as it deteriorates. We tested our hypothesis on a sample of approximately 25,700 individuals from South Korea from 2002 to 2013 that contained information on daily doctor’s visits due to respiratory disease. We matched individuals to the mean of the past seven-day concentration of the particulate matter of size between 2.5 and 10 micrometers (PM10) in their county of residence. We examined whether people living in counties with greater air pollution suffer less from respiratory disease when the concentration increases. For the analysis, we separated counties into quintiles based on their mean seven-day PM10, and regressed the binary indicator of a daily doctor’s visit with a resulting diagnosis of respiratory disease on the seven-day PM10 concentration of the county of residence interacted with the quintile dummies. The key findings are that a 1-standard-deviation increase in the seven-day PM10 concentration in the two lowest quintiles is associated with an increase of 0.054 percentage points in the likelihood of a doctor’s visit with a resulting diagnosis of respiratory disease, which is about 40% larger than the effect in higher quintiles, and the size of 1-standard-deviation gradually increases from 0.037 percentage points in the third quintile to 0.040 percentage points in the fifth quintile. The smaller increase in the likelihood of respiratory disease in more polluted locations can be explained by the behavioral adaptation to the environment, but the effectiveness of the adaptation seems limited among the highly polluted locations.
In 2022, the air pollution level of carbon monoxide (CO) in South Korea amounted to approximately *** parts per million. This is a decrease compared to the level of 2008.
In 2022, the annual air polluton level of ozone (O3) in Seoul in South Korea amounted to around ** parts per billion. It was *** point up from about ** parts per billion that year before.
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South Korea Air Pollution: Tax Revenue: % of GDP: Transport data was reported at 0.044 % in 2014. This records a decrease from the previous number of 0.046 % for 2013. South Korea Air Pollution: Tax Revenue: % of GDP: Transport data is updated yearly, averaging 0.056 % from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 0.060 % in 2006 and a record low of 0.026 % in 1995. South Korea Air Pollution: Tax Revenue: % of GDP: Transport data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s South Korea – Table KR.OECD.ESG: Environmental: Environmentally Related Tax Revenue: Environmental Protection Domains: OECD Member: Annual.
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Additional file 2: Figure S1. The location of the Korean Air Quality monitoring stations (AQMS) in South Korea with highlighted box of Seoul Metropolis. Figure S2. The results of cross-validation for daily mean concentration of PM10, PM2.5, and NO2 in South Korea during 2012 and 2013. x-axis: observed values. y-axis: predicted values.
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Adjusted association between exposure to ambient air pollutants and the incidences of otitis media in a nationwide population study for children in South Korea.
https://data.go.kr/ugs/selectPortalPolicyView.dohttps://data.go.kr/ugs/selectPortalPolicyView.do
This information provided by Seoul Metro is about indoor air quality in subway stations managed by the Corporation. As of 2021, indoor air quality measuring devices have been installed in a total of 259 stations from Lines 1 to 8, and air quality within each station is collected on an hourly basis, nearly in real time. This information is public data for the health and safety of citizens, and measured items include fine dust (PM10), ultrafine dust (PM2.5), carbon dioxide (CO₂), formaldehyde (HCHO), carbon monoxide (CO), nitrogen dioxide (NO₂), and volatile organic compounds (VOCs), allowing for a comprehensive understanding of air pollution levels within stations.
PM2.5 air pollution of Democratic People's Republic of Korea fell by 3.84% from 31.12 micrograms per cubic meter in 2019 to 29.93 micrograms per cubic meter in 2020. Since the 1.41% climb in 2017, PM2.5 air pollution sank by 23.59% in 2020.
In 2022, the air pollution level of particulate matter (PM10) in Daegu, South Korea, amounted to approximately ** micrograms per cubic meter, a decrease from ** micrograms per cubic meter in the previous year.
The dataset is a large-scale dataset that consists of 5-year spatiotemporal data in Seoul city, Korea, from 2015 to 2019. This dataset includes air pollutants, such as PM2.5, meteorological data, like temperature, wind speed, wind direction, rainfall,...; traffic volume of main roads; average driving speed on roads; and the air pollution from 3 areas in China (Beijing, Shanghai, and Shandong) that affects Seoul’s air quality.