A Study on Air Pollution in Ulaanbaatar City, Mongolia

Amarsaikhan, D.; Battsengel, V.; Nergui, B.; Ganzorig, M.; Bolor, G.

doi:10.4236/gep.2014.22017

Cited by 29 publications

(19 citation statements)

References 5 publications

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“…mercuryconvention.org/ and Peru has embarked on a programme to improve mine drainage. 355 Air pollution control programmes are developing in cities in several low-income and middle-income countries, including Mexico City, 356 Ulaanbaatar, 357 and New Delhi. 358 China is embarking on a national effort to reduce air pollution that includes a plan to dramatically increase reliance on non-polluting, renewable energy sources, and is on track to nearly triple its solar capacity between 2015 and 2020, adding 15 to 20 GW of solar capacity per year.…”

Section: Soil Pollutionmentioning

confidence: 99%

The Lancet Commission on pollution and health

Landrigan

Fuller

Acosta³

et al. 2018

The Lancet

3,016

1,960

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Section: Soil Pollutionmentioning

confidence: 99%

The Lancet Commission on pollution and health

Landrigan

Fuller

Acosta³

et al. 2018

The Lancet

3,016

1,960

View full text Add to dashboard Cite

“…We conducted 48 h backward-trajectories of air parcels arriving at the Amgalan site at a height of 300 m above ground level (AGL) and computed 16 universal times of coordination (UTC). The time zone of Ulaanbaatar, Mongolia is +8 UTC, and the city is located at 1350 m above sea level [1]. The backward trajectories for 2017 were generated by the NOAA HYPSLIT model using 8760 backward trajectory values.…”

Section: Backward Trajectory Using Noaa Hypslit and Group Clusteringmentioning

confidence: 99%

“…and a point Y (Y1, Y2, etc.) as: (1) where n is the number of variables and Xi and Yi are the values of the ith variable at points X and Y, respectively [23].…”

Section: Backward Trajectory Using Noaa Hypslit and Group Clusteringmentioning

confidence: 99%

“…The population of Mongolia was around 3 million in 2017, and nearly half of its citizens are densely concentrated in the capital city, Ulaanbaatar. The reason for this crowding is the migration from rural to urban areas that has occurred in recent years [1]. To provide electricity to Mongolia's citizens, there are three power plants in Ulaanbaatar, which consume about five million tons of coal per year [2].…”

Section: Introductionmentioning

confidence: 99%

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Origin and Background Estimation of Sulfur Dioxide in Ulaanbaatar, 2017

Prikaz

Fang

Dash³

et al. 2018

Environments

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Particulate matter studies have been conducted regularly in the capital city of Mongolia. In contrast, studies related to the source and general estimation of levels of sulfur dioxide (SO 2 ) over whole years are lacking. To explore the yearly trend in SO 2 , whole-year data of air pollutants were obtained from the Air Pollution Reducing Department. The results showed that the annual average concentration of SO 2 was 32.43 µg/m 3 at the Amgalan official monitoring station in 2017, which changed from 53 µg/m 3 in 2016, representing a reduction of around 40%. The back-trajectory model and the National Oceanic and Atmospheric Administration (NOAA)'s hybrid single particle Lagrangian integrated trajectory model (HYPSLIT) were used to determine the source of SO 2 . A total of 8760 backward trajectories were divided into eight groups. The results showed that 78.8% of the total trajectories in Ulaanbaatar came from an area inside Mongolia. The results showed that pollutants enter Ulaanbaatar mainly from the northwest and north during the winter season. There are industrial cities, such as Darkhan and Sukhbaatar, in North Mongolia. Air pollutants created in the industrial area traveled into Ulaanbaatar during the winter season.

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“…However, there are more resource-intensive enterprises that entail high energy consumption per unit of production, resulting in an increase in the emission of industrial waste water again. It can be said that exercising pollution control is an important means for enterprises of the Yangtze River Delta Region to alleviate emissions of industrial "3W" pollutants [11][12][13].…”

Section: Model Verification On Yangtze River Delta Region's Influencimentioning

confidence: 99%

Empirical Study on the Structural and Spatial Difference between Industrial Pollutant Emissions and Economic Growth in Yangtze River Delta Region

Shen¹

2015

TOCSJ

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The provinces and cities located in the Yangtze River Delta Region have different industrial structures, consume energy in different ways and emit different pollutants. Hence, pollution control in these places should be focused on different issues. Studies till date were focused primarily on time-sequence or panel association work on emissions of specific pollutants in a region, and their applications were relatively limited. This paper uses dynamic data of the Logistic model to analyze the research approaches, validating both the rising tendency of the environmental Kuznets curve (EKC) and the differences in industrial pollutants from different regions in Yangtze River Delta through the use of the polynomial model. The proposed countermeasures are helpful in alleviating the pollutant emissions in the Yangtze River Delta Region and controlling the pollutant emissions in a structured manner across the region. Results show that there is a structural and spatial difference between industrial pollutant emissions and its economic growth in the Yangtze River Delta Region, and that the curve fitting model yields different inflection points and convergence times. The fitting curves for the three models demonstrate that the relation of industrial waste water, waste gas and "3W" (i.e. waste water, waste gas and solid waste) index with the regional GDP per capita takes on an inverse N shape, while the solid waste is linearly related to the regional GDP per capita.

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A Study on Air Pollution in Ulaanbaatar City, Mongolia

Cited by 29 publications

References 5 publications

The Lancet Commission on pollution and health

The Lancet Commission on pollution and health

Origin and Background Estimation of Sulfur Dioxide in Ulaanbaatar, 2017

Empirical Study on the Structural and Spatial Difference between Industrial Pollutant Emissions and Economic Growth in Yangtze River Delta Region

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