Source apportionment of fine particles in Kuwait City

Alolayan, Mohammad A.; Brown, Kathleen Ward; Evans, John S.; Bouhamra, Walid; Koutrakis, Petros

doi:10.1016/j.scitotenv.2012.11.090

Cited by 90 publications

(57 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, the shorter cluster NW S could carry the anthropogenic emissions to aggravate the air pollution in Beijing when the air-flow fell in the south Hebei province (750 hPa) after blocking by high mountains (the Yinshan Mountain and Da Hinggan Mountains) and created an arc movement back to Beijing (1000 hPa) at last. Besides, the cluster W originated from the near surface layer on the Badain Jaran Desert (950 hPa), and then crossed the arid and semi-arid grasslands in Inner Mongolia, so it could carry natural soil dust from the desert to Beijing since the soil dust were one of the main sources of PM 2.5 in several regions (Hwang and Hopke, 2007;Alolayan et al, 2013;Zhang et al, 2013). Two clusters were grouped in the layer of 1500 m (Fig.…”

Section: Potential Sourcesmentioning

confidence: 99%

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Yang

Guochen

2017

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

Comprehensively using Inverse Distance Weighted (IDW) analysis, Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) model, three-dimensional (3D) cluster analysis, Weight Potential Source Concentration Function (WPSCF) analysis and other statistic methods, we mainly studied about the spatio-temporal variation, long-range transport and potential source regions of PM 2.5 in Beijing during a short severe haze from Dec05 to Dec11, 2015. The results showed that the concentration of PM 2.5 decreased from south to north of Beijing. PM 2.5 accumulation in the short-severe haze had high correlation with calm and steady meteorological condition (high relative humidity (RH), low wind speed (WS), low boundary-layer temperature (BLT) and surface air pressure (SAP)). In addition, air-flow in different heights (500 m, 1500 m and 3000 m) had different effects on the haze episode and the air flows at 500 m had the greatest contribution of the air pollution. The potential sources were mainly from the desert in northwest of Beijing and the built-up areas in Jing-Jin-Ji zone. Higher WPSCF values (> 0.7) were mainly distributed in Hebei, west Shandong province (around 0.5) and south Tianjin (around 0.5).

show abstract

Section: Potential Sourcesmentioning

confidence: 99%

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Yang

Guochen

2017

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

show abstract

“…The long range transport of particulate matter (PM) which could add to local emissions and the contribution of pollutants particles, especially associations between fine airborne PM exposure and adverse human health (Alolayan et al, 2015;Hellack et al, 2015). It is therefore important to determine long range transportation of particulate matter and potential sources.…”

Section: * Corresponding Authormentioning

confidence: 99%

Identification of Long-Range Transport Pathways and Potential Sources of PM10 in Tibetan Plateau Uplift Area: Case Study of Xining, China in 2014

Xin

Wang

Chen

2016

Aerosol Air Qual. Res.

View full text Add to dashboard Cite

The aim of the study is to identify long-range transport pathways that may have an important influence on PM 10 levels in plateau uplift area, namely Xining in northwestern China. Cluster analysis was applied to identify the main trajectory groups in horizontal direction and 3D cluster analysis was employed to identify the origins and distributions of major trajectory groups in vertical direction. Potential Source Contribution Function (PSCF) and Concentration-weighted Trajectory (CWT) were applied to identify the major potential source areas (PSA). Based on the temporal and spatial distribution of backward trajectories, four major trajectory pathways were clustered. The results indicated that Xining was easily affected by inland trajectories in four seasons but there were obvious results that different trajectories have dissimilar influences on the mean PM 10 concentrations. In horizontal direction, the long-range transport pathways were obvious in spring and winter while a few of long-range transport pathways could be found in summer and autumn. Because wind mainly came from north or west in spring and winter and it was very strong, which had a big influence on the transportation of transport pathways while wind in summer and autumn had a small impact on the transportation of transport pathways. In vertical direction, in the 700 hPa barometric altitude (3000 m) above, air masses in winter and spring with long transport pathways were the most important back-trajectories which had a great influence on Xining city. In summer and autumn, Xining was mainly influenced by airflow distributed below 700 hPa barometric altitude. In spring and winter, eastern Xinjiang, border areas between Gansu and Inner Mongolia and southern Tibet in China with the highest Weight Potential Source Contribution Function (WPSCF) and Weight Concentration-weighted Trajectory (WCWT) values were the dominant potential sources, which demonstrated the contribution from sources outside of Xining were significant. In summer and autumn, WPSCF values outside of Xining were no more than 0.5 (most of them were less than 0.3) and WCWT values were almost lower than 100 µg m -3 in those two seasons, which suggested that there were no main important PSA in those two seasons. Furthermore, the study also revealed that Tibet in China was one of the potential sources of PM 10 in Xining.

show abstract

“…Sand dust and oil combustion power plants were the first 2 major sources contributing to fine particles PM 2.5 in Kuwait accounting for almost 54% and 18% of the total atmospheric PM 2.5 , respectively. Meanwhile, the petrochemical industry, traffic and transported emissions from the outside of this country contributed to the remaining 28% of the total PM 2.5 [75]. to 31 μg/m 3 in 2009 [94].…”

Section: Kuwaitmentioning

confidence: 99%

Outdoor particulate matter (PM) and associated cardiovascular diseases in the Middle East

Nasser¹,

Salameh²,

Nasser³

et al. 2015

Int J Occup Med Environ Health

View full text Add to dashboard Cite

Air pollution is a widespread environmental concern. Considerable epidemiological evidence indicates air pollution, particularly particulate matter (PM), as a major risk factor for cardiovascular diseases (CVD) in the developed countries. The main objective of our review is to assess the levels and sources of PM across the Middle East area and to search evidence for the relationship between PM exposure and CVD. An extensive review of the published literature pertaining to the subject (2000-2013) was conducted using PubMed, Medline and Google Scholar databases. We reveal that low utilization of public transport, ageing vehicle fleet and the increasing number of personal cars in the developing countries all contribute to the traffic congestion and aggravate the pollution problem. The annual average values of PM pollutants in the Middle East region are much higher than the World Health Organization 2006 guidelines (PM 2.5 = 10 μg/m 3 , PM 10 = 20 μg/m 3 ). We uncover evidence on the association between PM and CVD in 4 Middle East countries: Iran, Kingdom of Saudi Arabia, Qatar and the United Arab Emirates. The findings are in light of the international figures. Ambient PM pollution is considered a potential risk factor for platelet activation and atherosclerosis and has been found to be linked with an increased risk for mortality and hospital admissions due to CVD. This review highlights the importance of developing a strategy to improve air quality and reduce outdoor air pollution in the developing countries, particularly in the Middle East. Future studies should weigh the potential impact of PM on the overall burden of cardiac diseases.

show abstract

Source apportionment of fine particles in Kuwait City

Cited by 90 publications

References 27 publications

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Analysis of Long-Range Transport Effects on PM2.5 during a Short Severe Haze in Beijing, China

Identification of Long-Range Transport Pathways and Potential Sources of PM10 in Tibetan Plateau Uplift Area: Case Study of Xining, China in 2014

Outdoor particulate matter (PM) and associated cardiovascular diseases in the Middle East

Contact Info

Product

Resources

About