Disaggregating the contribution of local dispersion and long-range transport to the high PM10 values measured in a Mediterranean urban environment

Paschalidou, Anastasia Κ.; Kassomenos, Pavlos; Karanikola, Paraskevi

doi:10.1016/j.scitotenv.2015.04.094

Cited by 17 publications

(8 citation statements)

References 35 publications

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“…In case of the suburban area of THR (Figure 6b), it seems that PM10 presents a lower concentration with a small number of exceedance days during the year. In both cases (ARI and THR), the extreme PM10 concentrations have been related, in most cases, with the Sahara dust event [23][24] (transportation of African dust). According to Figure 7, it is evident that in the city center the air quality is poorer than the air quality in the suburban area of THR.…”

Section: Resultsmentioning

confidence: 93%

Temporal Variation of Particulate Matter Concentrations within the Urban Area of Athens, Greece

Najam¹,

Moustris²,

Nastos³

2016

Preprint

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The main objective of this work is to investigate the temporal variation of PM10 concentrations within the urban area of Athens during the years 2001-2015. For this purpose, the time series of the particulate matter with aerodynamic diameter less than 10μm (PM10) is recorded for a 15-year period (2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012)(2013)(2014)(2015) in two different monitoring stations located in the urban area of Athens. The results show a totally different behavior of PM10 concentrations between the Athens city center and the suburban areas. It seems that in the city center the main sources of PM10 are traffic and heating systems especially during the cold period of the year. Furthermore, in the city center a significant seasonal variation was found with high concentrations during the cold period of the year and lower concentrations during the warm period of the year. Moreover, it was found that during the weekends, there is a decrease in PM10 concentrations probably due to the fact that majority of people do not use their vehicles. Finally, for both locations a significant temporal decreasing trend of the mean annual PM10 concentrations was found which indicates that during the last years, there have been improvements towards a better air quality.

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Section: Resultsmentioning

confidence: 93%

Temporal Variation of Particulate Matter Concentrations within the Urban Area of Athens, Greece

Najam¹,

Moustris²,

Nastos³

2016

Preprint

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“…The GAA seems to have better atmospheric conditions against other metropolitan cities, such as the holy city of Makkah, Saudi Arabia, and the city of Cairo, Egypt, even taking into account the large amounts of particulate matter transported from the Saharan desert [17,18]. During the last years, the air quality (concerning PM 10 ) is getting better, having a protective impact on public health.…”

Section: Discussionmentioning

confidence: 99%

Estimation of Particulate Matter Impact on Human Health within the Urban Environment of Athens City, Greece

2017

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Abstract:The main objective of this work is the assessment of the annual number of hospital admissions for respiratory diseases (HARD) due to the exposure to inhalable particulate matter (PM 10 ), within the greater Athens area (GAA), Greece. To achieve this aim, on the one hand, time series of the particulate matter with aerodynamic diameter less than 10 µm (PM 10 ) recorded in six monitoring stations located in the GAA, for a 13-year period 2001-2013, have been statistically analyzed. On the other hand, the AirQ2.2.3 software developed by the World Health Organization (WHO) was used to evaluate adverse health effects by PM 10 in the GAA during the examined period. The results show that, during the examined period, PM 10 concentrations present a significant decreasing trend. Also, the mean annual HARD cases per 100,000 inhabitants ranged between 20 (suburban area) and 40 (city center area). Approximately 70% of the annual HARD cases are due to city center residents. In all examined sites, a declining trend in the annual number of HARD cases appears. Moreover, a strong relation between the annual number of HARD cases and the annual number of days exceeding the European Union daily PM 10 threshold value was found.

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“…The data from the suburban site were considered to reflect the regional contribution, whereas those from the traffic sites were considered to reflect the local contribution. The local increment factor of the PM 2.5 pollution (Paschalidou et al, 2015) was calculated as the concentration difference between the suburban site and the traffic sites: D-value = Con(traffic) -Con(suburban), where Con(traffic) denotes the average PM 2.5 concentration at the three traffic sites and Con(suburban) represents the PM 2.5 concentration at the one suburban site. A large and positive D-value was considered to indicate that local emissions made a greater contribution to PM 2.5 pollution than did regional emissions.…”

Section: Figmentioning

confidence: 99%

Spatial and Temporal Characteristics and Main Contributing Regions of High PM2.5 Pollution in Hong Kong

Ding

et al. 2017

Aerosol Air Qual. Res.

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Fine particulate matter (PM 2.5 ) pollution episodes occur frequently in most Chinese metropolises. Because Hong Kong is affected by the East Asian monsoon, its high PM 2.5 pollution is potentially contributed to by a combination of local and regional emissions. This study identified the spatial and temporal characteristics and contributing regions of PM 2.5 pollution episodes in Hong Kong. We analyzed the hourly monitoring data collected at various monitoring stations in Hong Kong for the year 2014 in addition to spatial distributions of PM 2.5 in China in the days preceding high pollution episodes, and we identified the spatial and temporal characteristics of high PM 2.5 pollution in Hong Kong. The relative contributions of local and regional sources to high PM 2.5 episodes were then quantified. Finally, backward trajectories of air masses arriving in Hong Kong during high PM 2.5 episodes were generated to determine the main contributing regions. The results indicated that PM 2.5 levels were higher in the northwestern and southeastern parts of Hong Kong and the Yuen Long station observed the most serious pollution, with a highest daily average PM 2.5 concentration of 118 µg m -3; other areas noted relatively lower concentrations, with maximum daily average concentrations less than 100 µg m -3. Regional sources accounted for almost 70% of the PM 2.5 pollution and were mostly from the northern and northeastern areas of Hong Kong. Six main contributing regions were identified: the northern region of Guangdong province, Henan-Shandong, the Yangtze River Delta, Jiangxi, Fujian, and Anhui-Hubei. Among these, Guangdong province contributed the highest proportion of the pollution. Because PM 2.5 is a major air pollutant in Hong Kong, the findings of this study will be useful for forecasting PM 2.5 pollution episodes. Moreover, the developed methodology can be extended to other pollutants if their characteristics and main contributing regions can be identified.

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Disaggregating the contribution of local dispersion and long-range transport to the high PM10 values measured in a Mediterranean urban environment

Cited by 17 publications

References 35 publications

Temporal Variation of Particulate Matter Concentrations within the Urban Area of Athens, Greece

Temporal Variation of Particulate Matter Concentrations within the Urban Area of Athens, Greece

Estimation of Particulate Matter Impact on Human Health within the Urban Environment of Athens City, Greece

Spatial and Temporal Characteristics and Main Contributing Regions of High PM2.5 Pollution in Hong Kong

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