The influence of emission sources and meteorological conditions on SO2 pollution in Mongolia

Luvsan, Munkh-Erdene; Shie, Ruei-Hao; Purevdorj, Tseden; Badarch, Lkhagvasuren; Baldorj, Barkhasragchaa; Chan, Chang-Chuan

doi:10.1016/j.atmosenv.2012.07.044

Cited by 63 publications

(47 citation statements)

References 15 publications

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“…PC2 (16.3% of the total variance) consist of CO and NO 2 , which points towards vehicular emissions [7], [38]. PC3 (11.7% of total variance) was weighted with only SO 2, which indicates industrial emissions and open burning [39]. A slight difference among the factors distribution was noticed in the principal components for SWM compared to the NEM.…”

Section: Pincipal Component Analysis Of Particulate Matter Concentrationmentioning

confidence: 99%

Seasonal Variation of Criteria Pollutant in an Urban Coastal Environment: Kuala Terengganu

2017

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Abstract. The aim of this study are (i) to determine the yearly and monsoonal variations of the criteria pollutants in Kuala Terengganu, (ii) identify the influences of the meteorological factors and other minor criteria pollutants that impose on the concentration of the most significant criteria pollutant using Principal Component Analysis (PCA). The hourly data for the criteria pollutants (PM10, CO, O3, NO2, and SO2) and meteorological factors (temperature, relative humidity, windspeed) for the duration of 10 years procured from the Department of Environment, Malaysia were analyzed. PM10 is the only pollutant that frequently recorded concentrations exceeding the MAAQG in the length of the year 2001 to 2010 and the criteria pollutants reported differ significantly between the monsoon seasons. PCA showed that sources contributing to the most significant criteria pollutant (PM10) are meteorological factor influences and industrial emissions.

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Section: Pincipal Component Analysis Of Particulate Matter Concentrationmentioning

confidence: 99%

Seasonal Variation of Criteria Pollutant in an Urban Coastal Environment: Kuala Terengganu

2017

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“…are expected to have important effects on PM 2.5 variation to some extent. For example, WS can alter the dispersion state of the atmosphere, while WD provides information on the path of pollutants (Luvsan et al, 2012;Tie et al, 2015). Low PBLH, a strong temperature inversion, and descending air motion under weak surface WS can increase the frequency of haze phenomenon in China (Jones et al, 2010;Hu et al, 2012), particularly in some cities located in basin regions during winter, such as Beijing and Xi'an Lin et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Impact of Meteorological Parameters and Gaseous Pollutants on PM2.5 and PM10 Mass Concentrations during 2010 in Xi’an, China

Wang

Cao

Tie

et al. 2015

Aerosol Air Qual. Res.

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Mass concentrations of PM 2.5 and PM 10 from the six urban/rural sampling sites of Xi'an were obtained during two weeks of every month corresponding to January, April, July and October during 2010, together with the six meteorological parameters and the data of two precursors. The result showed that the average annual mass concentrations of PM 2.5 and PM 10 were 140.9 ± 108.9 µg m -3 and 257.8 ± 194.7 µg m -3 , respectively. Basin terrain constrains the diffusion of PM 2.5 and PM 10 concentration spatially. High concentrations in wintertime and low concentrations in summertime are due to seasonal variations of meteorological parameters and cyclic changes of precursors (SO 2 and NO 2 ). Stepwise Multiple Linear Regression (MLR) analysis indicates that relative humidity is the main factor influencing on meteorological parameter. Entry MLR analysis suggests that SO 2 from local coal-burning power plants is still the primary pollutant. Trajectory cluster results of PM 2.5 at BRR indicate that the entrained urban pollutants carried by the westerly or winter monsoon forms the dominant regional pollution sources in winter and spring. Ultraviolet (UV) aerosol index verified the source and pathway of dust storm in spring.

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“…However, improving the air quality and enhancing the environment ecological protection awareness of governments, enterprises and individuals through compensations, rather than making economic compensation, are the ultimate goals (Luvsan et al,2012). Therefore, governments must improve corresponding security mechanisms to achieve the overall goals of sustainable development of local environment and ecology.…”

Section: Security Mechanismmentioning

confidence: 99%

Research on Value Assessment and Compensation for Health Hazards of Urban Air Pollution-A Case Study of Urumqi

Hui

2016

Braz. arch. biol. technol.

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The influence of emission sources and meteorological conditions on SO2 pollution in Mongolia

Cited by 63 publications

References 15 publications

Seasonal Variation of Criteria Pollutant in an Urban Coastal Environment: Kuala Terengganu

Seasonal Variation of Criteria Pollutant in an Urban Coastal Environment: Kuala Terengganu

Impact of Meteorological Parameters and Gaseous Pollutants on PM2.5 and PM10 Mass Concentrations during 2010 in Xi’an, China

Research on Value Assessment and Compensation for Health Hazards of Urban Air Pollution-A Case Study of Urumqi

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