Monitoring of air pollution levels related to Charilaos Trikoupis Bridge

Sarigiannis, D; Handakas, Evangelos; Kermenidou, M; Zarkadas, Ioannis S.; Gotti, Alberto; Charisiadis, Pantelis; Makris, Konstantinos C.; Manousakas, M.; Eleftheriadis, Konstantinos; Karakitsios, Spyros

doi:10.1016/j.scitotenv.2017.06.230

Cited by 19 publications

(8 citation statements)

References 38 publications

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“…PMF, on the other hand, is usually applied with no prior knowledge of the source profiles (Viana et al, 2008), thus providing more flexibility in terms of identifying chemical profiles representative of the receptor sites. Nonetheless, due to limitations in data availability, some PMF studies use combined datasets of PM chemical composition from different areas within the same city, in order to produce a final dataset of substantial size to be used for source apportionment (Sarigiannis et al, 2017). This may lead to mixed profiles that are less specific for the single receptor while are more representative of the entire city.…”

Section: Introductionmentioning

confidence: 99%

Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area

Manousakas

Diapouli

Belis

et al. 2021

Environmental Research

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The study aims to assess the differences between the chemical profiles of the major anthropogenic and natural PM sources in two areas with different levels of urbanization and traffic density within the same urban agglomeration. A traffic site and an urban background site in the Athens Metropolitan Area have been selected for this comparison. For both sites, eight sources were identified, with seven of them being common for the two sites (Mineral Dust, non-Exhaust Emissions, Exhaust Emissions, Heavy Oil Combustion, Sulfates & Organics, Sea Salt and Biomass Burning) and one, site-specific (Nitrates for the traffic site and Aged Sea Salt for the urban background site). The similarity between the source profiles was quantified using two statistical analysis tools, Pearson correlation (PC) and Standardized Identity Distance (SID). According to Pearson coefficients five out of the eight source profiles present high (PC > 0.8) correlation (Mineral Dust, Biomass Burning, Sea Salt, Sulfates and Heavy Oil Combustion), one presented moderate (0.8 > PC > 0.6) correlation (Exhaust) and two low/no (PC < 0.6) correlation (non-Exhaust, Nitrates/Aged Sea Salt). The source profiles that appear to be more correlated are those of sources that are not expected to have high spatial variability because there are either natural/secondary and thus have a regional character or are emitted outside the urban agglomeration and are transported to both sites. According to SID four out of the eight sources have high statistical correlation (SID < 1) in the two sites (Mineral Dust, Sea salt, Sulfates, Heavy Oil Combustion). Biomass Burning was found to be the source that yielded different results from the two methodologies. The careful examination of the source profile of that source revealed the reason for this discrepancy. SID takes all the species of the profile equally into account, while PC might be disproportionally affected by a few numbers of species with very high concentrations. It is suggested, based on the findings of this work, that the combined use of both tools can lead the users to a thorough evaluation of the similarity of source profiles. This work is, to the best of our knowledge, the first time a study is focused on the quantitative comparison of the source profiles for sites inside the same urban agglomeration using statistical indicators.

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Section: Introductionmentioning

confidence: 99%

Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area

Manousakas

Diapouli

Belis

et al. 2021

Environmental Research

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“…Additionally, two highways are placed close to the sampling station, satisfying both local and international transportation needs that further hinder the air quality of the examined region. The recorded SO 2 concentrations, were significantly lower compared to urban centers even in non-heating periods such as large Chinese cities (5-40 µg/m 3 ) [11] , or Tehran (110-150 µg/m 3 ) [12 ] but were comparable to suburban site in Greece however with significant traffic load (Rio-Antirio, 1.5-3.0 µg/m 3 ) [13] or even to suburnan sites of US [14] .…”

Section: Predominant Weather Conditionmentioning

confidence: 82%

Temporal Evolution of Air Pollution Levels in the Wider Industrial Zone of Kavala, East Macedonia and Thrace, Greece

Gaidajis¹

2019

JESTR

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The aim of the present research is to examine the temporal evolution of air pollution levels in the wider industrial zone of Kavala region, Northeastern Greece in terms of four major air pollutants: sulfur dioxide (SO 2), hydrogen sulfide (H 2 S), methane (CH 4) and total hydrocarbons (THC). The daily average concentrations of the specific pollutants were recorded for the period 2004-2016 (13 years), in parallel with key meteorological data. Results indicated a slightly increasing trend of concentrations over the years and especially during the period 2010-2013. In all cases the concentrations were below the limits set by the national legislation and alarm values. High values of the ratios average SO2 and H2S concentrations to median SO2 and H2S concentrations indicated few episodes with high concentration levels of SO 2 and H 2 S. The concentration levels measured during warm and cold period and during weekdays and weekends were identical indicating uniform sources within the year.

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“…Pollution by SO 2 in the area is believed to be dominated by road traffic [20,22]. Sarigiannis et al [31] SO 2 concentration starts to increase in the morning hours, reaching a morning peak (2.3 µg/m 3 ) from 11:00 until 20:00. A gradual increase of SO 2 concentration was noticeable, accompanied by the average hourly increase of trucks and buses.…”

Section: Resultsmentioning

confidence: 99%

Variation Concentration of Sulfur Dioxide and Correlation With Meteorological Parameters

Ilić

Markić

Bjelić

2018

AFST

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Levels of SO2 in air samples from urban zone of Banja Luka were determined at locality Center inBanja Luka (administrative center of the Republic of Srpska, in Bosnia and Herzegovina) which ishighly populated area, with intensive traffic and industry. Through experimental measuring, daily andweekend variation of SO2 concentration was determined. Daily variations are directly connected toregime and intensity of traffic and using fossil fuels. The paper presents measured average values ofsulfur dioxide, together with max and min values and relationship between some parameters of airquality and meteorological parameters, i. e. for pollution modelling together with meteorologicalparameters.

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Monitoring of air pollution levels related to Charilaos Trikoupis Bridge

Cited by 19 publications

References 38 publications

Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area

Quantitative assessment of the variability in chemical profiles from source apportionment analysis of PM10 and PM2.5 at different sites within a large metropolitan area

Temporal Evolution of Air Pollution Levels in the Wider Industrial Zone of Kavala, East Macedonia and Thrace, Greece

Variation Concentration of Sulfur Dioxide and Correlation With Meteorological Parameters

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