Air pollution levels and PM2.5 concentrations in Khovd and Ulaanbaatar cities of Mongolia

Ariunsaikhan, Ariundelger; Batbaatar, B.; Dorjsuren, B.; Chonokhuu, Sonomdagva

doi:10.1007/s13762-022-04493-1

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…PM 2.5 concentrations in Ulaanbaatar city of Mongolia have been declining since 2018. However, PM 2.5 from January to March 2020 was about 129, 71, and 33 µg/m 3 , respectively [ 64 ]. SO 2 concentrations in India increased between 1980 and 2010.…”

Section: Resultsmentioning

confidence: 99%

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Guo

Wang

2023

Toxics

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Air pollution affects climate change, food production, traffic safety, and human health. In this paper, we analyze the changes in air quality index (AQI) and concentrations of six air pollutants in Jinan during 2014–2021. The results indicate that the annual average concentrations of PM10, PM2.5, NO2, SO2, CO, and O3 and AQI values all declined year after year during 2014–2021. Compared with 2014, AQI in Jinan City fell by 27.3% in 2021. Air quality in the four seasons of 2021 was obviously better than that in 2014. PM2.5 concentration was the highest in winter and PM2.5 concentration was the lowest in summer, while it was the opposite for O3 concentration. AQI in Jinan during the COVID epoch in 2020 was remarkably lower compared with that during the same epoch in 2021. Nevertheless, air quality during the post-COVID epoch in 2020 conspicuously deteriorated compared with that in 2021. Socioeconomic elements were the main reasons for the changes in air quality. AQI in Jinan was majorly influenced by energy consumption per 10,000-yuan GDP (ECPGDP), SO2 emissions (SDE), NOx emissions (NOE), particulate emissions (PE), PM2.5, and PM10. Clean policies in Jinan City played a key role in improving air quality. Unfavorable meteorological conditions led to heavy pollution weather in the winter. These results could provide a scientific reference for the control of air pollution in Jinan City.

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Section: Resultsmentioning

confidence: 99%

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Guo

Wang

2023

Toxics

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“…In biomass burning, particularly coal usage for indoor space heating, excessive PM is emitted into the atmosphere. At the same time, outdoor air pollution issues have been well-documented, showing that PM 2.5 concentrations frequently reach hazardous levels exceeding 500 µg/m 3 in the winter (Nishikawa et al, 2015;Ganbat et al, 2020;Ariunsaikhan et al, 2022), especially in ger areas (places where households live in either the traditional yurt or detached houses with insu cient infrastructure). Despite efforts to replace energy sources with renewables (e.g., solar, hydro, and wind) and socio-economic actions against air pollution, progress has been slow, and there is no signi cant trend to decrease coal consumption, which remains the leading cause of air pollution (Koo et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

An Annual Result of Outdoor and Indoor PM2.5 Analysis in Two Different Building Types in Ulaanbaatar, Mongolia

Batbold,

Narmandakh,

Batjargal

et al. 2024

Preprint

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Air pollution has been a significant environmental and public health concern in Ulaanbaatar, the capital city of Mongolia, for many years. The city experiences severe air pollution, particularly during the winter months. To gain better insights into this issue, the present study investigated the annual trends of outdoor and indoor PM2.5 concentrations at two neighboring sites in Ulaanbaatar: an Office and a household, using low-cost sensors. Both locations exhibited similar fluctuations in outdoor PM2.5 concentrations over time, with ambient PM2.5 levels rising in October and declining in April. During the mid-term of the heating season (November to February), hourly averaged PM2.5 concentrations were exceptionally high, with peak pollution events exceeding ~ 1000 µg/m³. Notably, PM2.5 concentrations were elevated during this heating season period. Time-activity patterns showed a decrease in PM2.5 concentrations during the periods of 6–8 AM and 2–6 PM. Besides, the study found that the indoor environment could remain safe when windows were well-sealed, even under severe outdoor pollution conditions. Overall, this study provided accurate insights into the annual patterns of PM2.5 concentrations and demonstrated how they fluctuated during the heating season when pollution levels were particularly high. The findings offer valuable recommendations for individuals to consider when going outside and taking action to improve indoor air quality in Ulaanbaatar.

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Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10

Mampitiya,

Rathnayake,

Hoshino

et al. 2024

Journal of Hazardous Materials Advances

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Air pollution levels and PM2.5 concentrations in Khovd and Ulaanbaatar cities of Mongolia

Cited by 4 publications

References 24 publications

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

Change in Air Quality during 2014–2021 in Jinan City in China and Its Influencing Factors

An Annual Result of Outdoor and Indoor PM2.5 Analysis in Two Different Building Types in Ulaanbaatar, Mongolia

Forecasting PM10 levels in Sri Lanka: A comparative analysis of machine learning models PM10

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