The dataset is a large-scale dataset that consists of 3-year spatiotemporal data in Seoul city, Korea, from 2015 to 2017. 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.

The data was adapted from https://www.kaggle.com/bappekim/air-pollution-in-seoul. The original data was from Seoul Open Data Plaza.The data consisted of 25 different zones in Seoul; however, the Jung district located in the center of Seoul was modeled with PFM and served as a model for Seoul air pollution. The 26,241 hourly values were manually processed on Excel to fit the input requirements for the model. The dates and hours were changed to a M-D-Y HH:MM:SS format to satisfy PFM’s formatting requirements. Any error reading from the sensors denoted by “-1” was replaced with “NA” as PFM would interpolate the missing values. https://creativecommons.org/licenses/by-sa/4.0/

In 2022, the annual air polluton level of ozone (O3) in Seoul in South Korea amounted to around 29 parts per billion. It was one point up from about 28 parts per billion that year before.

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 annual air pollution level of particulate matter (PM2.5) in Seoul in South Korea stood at around 18 micrograms per cubic meter, down from about 20 micrograms per cubic meter a year ago.

In 2022, the air pollution level of NO2 in Seoul amounted to 21 parts per billion, down from 35 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.

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 ozone (O3) in South Korea amounted to around 32 parts per billion. It is up from about 23 parts per billion in 2008.

South Korea Air Pollution: Tax Revenue: % of GDP: Energy data was reported at 0.591 % in 2022. This records a decrease from the previous number of 0.918 % for 2021. South Korea Air Pollution: Tax Revenue: % of GDP: Energy data is updated yearly, averaging 1.604 % from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 2.025 % in 2001 and a record low of 0.591 % in 2022. South Korea Air Pollution: Tax Revenue: % of GDP: 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.

South Korea Air Pollution: Tax Revenue: USD: Transport data was reported at 658.025 USD mn in 2014. This records an increase from the previous number of 631.800 USD mn for 2013. South Korea Air Pollution: Tax Revenue: USD: Transport data is updated yearly, averaging 476.535 USD mn from Dec 1995 (Median) to 2014, with 20 observations. The data reached an all-time high of 680.339 USD mn in 2007 and a record low of 149.108 USD mn in 1995. South Korea Air Pollution: Tax Revenue: USD: 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.

In 2022, the air pollution level from particulate matter (PM10) in South Korea amounted to approximately 31 micrograms per cubic meter. It is a decrease from 54 micrograms per cubic meter in 2008.

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.

South Korea Air Pollution: Tax Revenue: USD: Energy data was reported at 9.901 USD bn in 2022. This records a decrease from the previous number of 16.692 USD bn for 2021. South Korea Air Pollution: Tax Revenue: USD: Energy data is updated yearly, averaging 14.609 USD bn from Dec 1994 (Median) to 2022, with 29 observations. The data reached an all-time high of 23.818 USD bn in 2014 and a record low of 3.377 USD bn in 1994. South Korea Air Pollution: Tax Revenue: USD: 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.

South Korea Air Pollution: Tax Revenue: USD data was reported at 24.476 USD bn in 2014. This records an increase from the previous number of 22.922 USD bn for 2013. South Korea Air Pollution: Tax Revenue: USD data is updated yearly, averaging 15.073 USD bn from Dec 1994 (Median) to 2014, with 21 observations. The data reached an all-time high of 24.476 USD bn in 2014 and a record low of 3.377 USD bn in 1994. South Korea Air Pollution: Tax Revenue: USD 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.

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. 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. 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.

This study investigated the various temporal (weekly, monthly, and inter-annual) variability of air pollutants (PM10, SO2, NO2, O3, CO) in seven megacities in South Korea (Seoul, Busan, Incheon, Daegu, Gwangju, Daejeon, and Ulsan). We found that the general decreasing trend of PM10, SO2, NO2, and CO. An exceptional pollutant is O3, showing a clear increasing trend consistently in all seven megacities. Seasonally PM10, SO2, NO2, and CO have the highest level in winter due to the large fossil-fuel combustion for the heating demand, but O3 shows the maximum peak in summer related to the intensified photochemistry. Based on the analysis for percentile values of air pollutants, we recognized that some patterns of air pollutants in Korean megacities are overlooked: O3 increase is not perfectly related to the NO2 pattern, somewhat high SO2 in the coastal cities, ambiguous weekly pattern on Monday (as a weekday) and Sunday (as a weekend). Through this comprehensive analysis of multiple air pollutants using the percentile values, the characteristic for various temporal change of air pollutants in Korean megacities can be better understood, and some useful ideas for the air quality control in the urban region can be also excavated.

This dataset includes MDA8 O3 and 24-hour NO2 concentrations measured in the Seoul Metropolitan Area from May 2018 to April 2021.

In 2022, the air pollution level of particulate matter (PM2.5) in Daejeon, South Korea, amounted to approximately 17 micrograms per cubic meter. This is a slight increase from the previous year.

BackgroundOtitis media (OM) is a major reason for children’s visits to physicians and a major cause of their being treated with antibiotics. It not only causes economic burdens but also influences hearing, speech, and education. To our knowledge, no nationwide population-based study has assessed the association between air pollution and OM. Therefore, this study evaluated the association between air pollution levels and the incidence of OM.MethodsWe identified cases of OM that occurred in South Korea between January 2011 and December 2012 from the Korea National Health Insurance Service-National Sample Cohort database, and evaluated its relationship with five air pollutants: particulate matter (PM10, particulates ≤10 μm in diameter), nitrogen dioxide (NO2), ozone (O3), sulfur dioxide, and carbon monoxide. Associations between the weekly incidence of OM and the five air pollutants were analyzed using generalized estimating equations. Conditional logistic regression analysis was used to obtain odds ratios (ORs) and their 99.9% Bonferroni-corrected confidence intervals after adjusting for gender, age, season, and region.ResultsWe based our analysis on 160,875 hospital visits for OM by children aged