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Prof. Dr. Kassomenos Pavlos
Division of Environment and Meteorology, School of Physics, University of Ioannina, 45110 Ioannina, Greece

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0 Atmosphere
0 Atmospheric Physics
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Journal article
Published: 11 May 2021 in Science of The Total Environment
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A dedicated extremely low frequency (ELF) detector has been constructed and used successfully for Schumann Resonance (SRs) measurements in N.W. Greece. The main objective of this work was to investigate the effect of local lightning activity on the recorded signal of our ELF detector and consequently on the estimated SRs parameters, namely the power, the frequency and the quality factor of each mode. Therefore, several measurements were taken into account for the ELF signal continuously recorded and the lightning intensity in a specific range around the ELF detector. Additionally, a simple filtering technique was used, in order to reject the distorted SRs spectra. The statistical analysis performed showed a positive and statistically significant correlation between the lightning events and the recorded magnetic component of the ELF signal. It was found that local lightnings have a significant impact on the SRs measurements, and it is necessary to be removed from the background signal.

ACS Style

G. Tatsis; A. Sakkas; V. Christofilakis; G. Baldoumas; S.K. Chronopoulos; A.K. Paschalidou; P. Kassomenos; I. Petrou; P. Kostarakis; C. Repapis; V. Tritakis. CORRELATION OF LOCAL LIGHTNING ACTIVITY WITH EXTRA LOW FREQUENCY DETECTOR FOR SCHUMANN RESONANCE MEASUREMENTS. Science of The Total Environment 2021, 787, 147671 .

AMA Style

G. Tatsis, A. Sakkas, V. Christofilakis, G. Baldoumas, S.K. Chronopoulos, A.K. Paschalidou, P. Kassomenos, I. Petrou, P. Kostarakis, C. Repapis, V. Tritakis. CORRELATION OF LOCAL LIGHTNING ACTIVITY WITH EXTRA LOW FREQUENCY DETECTOR FOR SCHUMANN RESONANCE MEASUREMENTS. Science of The Total Environment. 2021; 787 ():147671.

Chicago/Turabian Style

G. Tatsis; A. Sakkas; V. Christofilakis; G. Baldoumas; S.K. Chronopoulos; A.K. Paschalidou; P. Kassomenos; I. Petrou; P. Kostarakis; C. Repapis; V. Tritakis. 2021. "CORRELATION OF LOCAL LIGHTNING ACTIVITY WITH EXTRA LOW FREQUENCY DETECTOR FOR SCHUMANN RESONANCE MEASUREMENTS." Science of The Total Environment 787, no. : 147671.

Journal article
Published: 12 January 2021 in Environmental Research
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Recycling of electric and electronic waste products (e-waste) which amounted to more than 50 million metric tonnes per year worldwide is a massive and global operation. Unfortunately, an estimated 70–80% of this waste has not been properly managed because the waste went from developed to low-income countries to be dumped into landfills or informally recycled. Such recycling has been carried out either directly on landfill sites or in small, often family-run recycling shops without much regulations or oversights. The process traditionally involved manual dismantling, cleaning with hazardous solvents, burning and melting on open fires, etc., which would generate a variety of toxic substances and exposure/hazards to applicators, family members, proximate residents and the environment. The situation clearly calls for global responsibility to reduce the impact on human health and the environment, especially in developing countries where poor residents have been shouldering the hazardous burden. On the other hand, formal e-waste recycling has been mainly conducted in small scales in industrialized countries. Whether the latter process would impose less risk to populations and environment has not been determined yet. Therefore, the main objectives of this review are: 1. to address current trends and emerging threats of not only informal but also formal e-waste management practices, and 2. to propose adequate measures and interventions. A major recommendation is to conduct independent surveillance of compliance with e-waste trading and processing according to the Basel Ban Amendment. The recycling industry needs to be carefully evaluated by joint effort from international agencies, producing industries and other stakeholders to develop better processes. Subsequent transition to more sustainable and equitable e-waste management solutions should result in more effective use of natural resources, and in prevention of adverse effects on health and the environment.

ACS Style

Balázs Ádám; Thomas Göen; Paul T.J. Scheepers; Diana Adliene; Bojan Batinic; Lygia T. Budnik; Radu-Corneliu Duca; Manosij Ghosh; Doina I. Giurgiu; Lode Godderis; Ozlem Goksel; Karoline K. Hansen; Pavlos Kassomenos; Natasa Milic; Hans Orru; Anastasia Paschalidou; Maja Petrovic; Judita Puiso; Jelena Radonic; Maja T. Sekulic; Joao Paulo Teixeira; Hilal Zaid; William W. Au. From inequitable to sustainable e-waste processing for reduction of impact on human health and the environment. Environmental Research 2021, 194, 110728 .

AMA Style

Balázs Ádám, Thomas Göen, Paul T.J. Scheepers, Diana Adliene, Bojan Batinic, Lygia T. Budnik, Radu-Corneliu Duca, Manosij Ghosh, Doina I. Giurgiu, Lode Godderis, Ozlem Goksel, Karoline K. Hansen, Pavlos Kassomenos, Natasa Milic, Hans Orru, Anastasia Paschalidou, Maja Petrovic, Judita Puiso, Jelena Radonic, Maja T. Sekulic, Joao Paulo Teixeira, Hilal Zaid, William W. Au. From inequitable to sustainable e-waste processing for reduction of impact on human health and the environment. Environmental Research. 2021; 194 ():110728.

Chicago/Turabian Style

Balázs Ádám; Thomas Göen; Paul T.J. Scheepers; Diana Adliene; Bojan Batinic; Lygia T. Budnik; Radu-Corneliu Duca; Manosij Ghosh; Doina I. Giurgiu; Lode Godderis; Ozlem Goksel; Karoline K. Hansen; Pavlos Kassomenos; Natasa Milic; Hans Orru; Anastasia Paschalidou; Maja Petrovic; Judita Puiso; Jelena Radonic; Maja T. Sekulic; Joao Paulo Teixeira; Hilal Zaid; William W. Au. 2021. "From inequitable to sustainable e-waste processing for reduction of impact on human health and the environment." Environmental Research 194, no. : 110728.

Research article
Published: 23 October 2020 in Environmental Science and Pollution Research
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In the recent years, the environmental noise is a global issue of great concern. Especially, it is considered to be one of the most deleterious environmental risk factors for the human health and well-being in urban areas. In this study, we focus on the major source of the transportation noise in the modern-day urbanized societies, which is the road traffic noise. The study was performed in the urban complex in Thessaloniki-Neapoli in Greece, and the estimation of the road traffic noise levels was based on the CoRTN (Calculation of Road Traffic Noise) prediction method. In addition, we estimated the EBD (environmental burden of disease), in terms of DALYs (disability-adjusted life years), due to the annoyance and sleep disturbances associated with the exposure to road traffic noise. The estimation of the EBD was based on the strategic noise mapping in Thessaloniki-Neapoli as well as on the guidance document produced by the WHO (World Health Organization) for the quantitative assessment on the humans’ health consequences of the environmental noise. Above all, the results revealed the magnitude of the health damage caused by the transportation noise.

ACS Style

Paraskevi Begou; Pavlos Kassomenos. Exposure to the road traffic noise in an urban complex in Greece: the quantification of healthy life years lost due to noise-induced annoyance and noise-induced sleep disturbances. Environmental Science and Pollution Research 2020, 28, 12932 -12943.

AMA Style

Paraskevi Begou, Pavlos Kassomenos. Exposure to the road traffic noise in an urban complex in Greece: the quantification of healthy life years lost due to noise-induced annoyance and noise-induced sleep disturbances. Environmental Science and Pollution Research. 2020; 28 (10):12932-12943.

Chicago/Turabian Style

Paraskevi Begou; Pavlos Kassomenos. 2020. "Exposure to the road traffic noise in an urban complex in Greece: the quantification of healthy life years lost due to noise-induced annoyance and noise-induced sleep disturbances." Environmental Science and Pollution Research 28, no. 10: 12932-12943.

Journal article
Published: 06 September 2020 in Science of The Total Environment
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A.I.A (Athens International Airport) is the first major transportation infrastructure in Greece. Environmental protection is a priority and AIA is committed to protect the environment and preventing or lessening negative impacts, through a comprehensive Environmental Policy and Procedures. The scope of this article is to perform a comprehensive risk assessment of climate-related risks to the direct and indirect operations of Athens International Airport and to its assets. To achieve that, we proceeded to collect and analyse the historical climate data as well as the future climate scenarios for the region in which the airport operates. Ιn addition, we prepared a questionnaire on the climatic conditions at the airport and the protection measures already in place. The questionnaire was shared with employees in key-positions, as well as to third parties. A round of interviews was held, with important conclusions to be drawn. Finally, we come up with a list of risks assessments, related to climate change, for the airport and some actions to be implemented in the next period.

ACS Style

Konstantinos Vogiatzis; Pavlos Kassomenos; Georgia Gerolymatou; Panagiotis Valamvanos; Evdokia Anamaterou. Climate Change Adaptation Studies as a tool to ensure airport's sustainability: The case of Athens International Airport (A.I.A.). Science of The Total Environment 2020, 754, 142153 .

AMA Style

Konstantinos Vogiatzis, Pavlos Kassomenos, Georgia Gerolymatou, Panagiotis Valamvanos, Evdokia Anamaterou. Climate Change Adaptation Studies as a tool to ensure airport's sustainability: The case of Athens International Airport (A.I.A.). Science of The Total Environment. 2020; 754 ():142153.

Chicago/Turabian Style

Konstantinos Vogiatzis; Pavlos Kassomenos; Georgia Gerolymatou; Panagiotis Valamvanos; Evdokia Anamaterou. 2020. "Climate Change Adaptation Studies as a tool to ensure airport's sustainability: The case of Athens International Airport (A.I.A.)." Science of The Total Environment 754, no. : 142153.

Journal article
Published: 01 February 2020 in Science of The Total Environment
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Road traffic noise is a growing challenge for human health in the last decades. World Health Organization (WHO) summarized the scientific evidence on side effects of noise on public health and wellbeing since 1999 in its publication "Guidelines for community noise". The WHO's documentation was completed in 2009 with the Night Noise Guidelines for Europe and in 2011 with the Burden of disease from environmental noise highlighting the negative effects of environmental noise on health. In this paper, we studied and presented the overall noise levels and the exposure of the population in the city of Thessaloniki, Greece. The estimation of the exposure to road traffic noise was based on the census data for a 15-year time period (e.g. 2000-2015). The quantification of the environmental burden of cardiovascular diseases, due to urban traffic noise, is calculated in terms of DALYs. The calculation is based on the morbidity and mortality data from the hypertensive, ischemic heart, and cerebrovascular diseases of the total population. Our analysis proved that the road traffic noise in Thessaloniki causes almost 2000 DALYs lost in the total population each year. Also, the exposure to road traffic noise was estimated by three measuring points, two of them located in the urban Thessaloniki (a high traffic highway and a residential area) and the third one situated in one urban background area in the urban outskirts of Thessaloniki. The noise levels were measured for a 24-h period during a 3 year time period for every measuring point. The imposed WHO noise levels were exceeded in both high traffic highway and residential areas for almost the whole time of the measurement period.

ACS Style

Paraskevi Begou; Pavlos Kassomenos; Apostolos Kelessis. Effects of road traffic noise on the prevalence of cardiovascular diseases: The case of Thessaloniki, Greece. Science of The Total Environment 2020, 703, 134477 .

AMA Style

Paraskevi Begou, Pavlos Kassomenos, Apostolos Kelessis. Effects of road traffic noise on the prevalence of cardiovascular diseases: The case of Thessaloniki, Greece. Science of The Total Environment. 2020; 703 ():134477.

Chicago/Turabian Style

Paraskevi Begou; Pavlos Kassomenos; Apostolos Kelessis. 2020. "Effects of road traffic noise on the prevalence of cardiovascular diseases: The case of Thessaloniki, Greece." Science of The Total Environment 703, no. : 134477.

Journal article
Published: 25 January 2020 in Science of The Total Environment
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Schumann resonances (SRs) provide a unique tool for exploring continuous and long-term monitoring of global environmental parameters, although their detection and study is a very complex task. This paper presents diurnal and seasonal variations of principal parameters, namely the resonance frequency, the Q-factor, and the power of SRs, in the North-South (NS) magnetic field component for the first five modes from Extra Low Frequency (ELF) measurements. These were acquired at the observation site located at Doliana, Kalpaki, in the Region of Epirus, North West Greece. These variations are the first ones reported for the principal parameters in the South Eastern Mediterranean area and correspond to the one-year measurement period from 2016 to 2017. The comparison with variations at several observations sites is also discussed. Moreover, correlation with global lighting centers, as well as local lightning activity, and SRs parameters variation is attempted.

ACS Style

G. Tatsis; Vasilis Christofilakis; S.K. Chronopoulos; G. Baldoumas; A. Sakkas; A.K. Paschalidou; P. Kassomenos; I. Petrou; P. Kostarakis; C. Repapis; V. Tritakis. Study of the variations in the Schumann resonances parameters measured in a southern Mediterranean environment. Science of The Total Environment 2020, 715, 136926 .

AMA Style

G. Tatsis, Vasilis Christofilakis, S.K. Chronopoulos, G. Baldoumas, A. Sakkas, A.K. Paschalidou, P. Kassomenos, I. Petrou, P. Kostarakis, C. Repapis, V. Tritakis. Study of the variations in the Schumann resonances parameters measured in a southern Mediterranean environment. Science of The Total Environment. 2020; 715 ():136926.

Chicago/Turabian Style

G. Tatsis; Vasilis Christofilakis; S.K. Chronopoulos; G. Baldoumas; A. Sakkas; A.K. Paschalidou; P. Kassomenos; I. Petrou; P. Kostarakis; C. Repapis; V. Tritakis. 2020. "Study of the variations in the Schumann resonances parameters measured in a southern Mediterranean environment." Science of The Total Environment 715, no. : 136926.

Journal article
Published: 20 November 2019 in Science of The Total Environment
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The electrical component of the atmosphere is a key element to understand bio-effects of atmospheric processes. In this paper an attempt was made to find possible interactions between air masses arriving in Santander, Northern Spain, and electrical properties of nanoparticles measured in this zone. A methodological approach is proposed to characterize electrically the predominant weather types in the study area. An electrical low pressure impactor device (ELPI®+) was used to measure atmospheric particles net charge and particle net charge distribution in real time in July 2018, among other parameters. Data from two specific channels [0.054–0.071 μm] and [2.5–3.0 μm] has been initially used. Atmospheric circulation was defined attending to two, subjective and objective, weather type classifications. Back trajectories of nanoparticles were also computed by the Hybrid Single-Particle Lagrangian Integrated Trajectory model. Results confirm that atmospheric nanoparticles charge varies according to their size. The highest mean absolute charge is associated with local circulation in Santander for both channels. The studied nanoparticles show a quicker reaction to weather conditions than microparticles. They also have a significant correlation with meteorological variables for 18 synoptic groups found, but humidity. Microparticles [2.5–3.0 μm] are negatively related with air humidity, mainly with S-SE circulation pattern.

ACS Style

Pablo Fdez-Arroyabe; Ciro Luis Salcines Suárez; Ion-Andrei Nita; Pavlos Kassomenos; Elias Petrou; Ana Santurtún. Electrical characterization of circulation weather types in Northern Spain based on atmospheric nanoparticles measurements: A pilot study. Science of The Total Environment 2019, 704, 135320 .

AMA Style

Pablo Fdez-Arroyabe, Ciro Luis Salcines Suárez, Ion-Andrei Nita, Pavlos Kassomenos, Elias Petrou, Ana Santurtún. Electrical characterization of circulation weather types in Northern Spain based on atmospheric nanoparticles measurements: A pilot study. Science of The Total Environment. 2019; 704 ():135320.

Chicago/Turabian Style

Pablo Fdez-Arroyabe; Ciro Luis Salcines Suárez; Ion-Andrei Nita; Pavlos Kassomenos; Elias Petrou; Ana Santurtún. 2019. "Electrical characterization of circulation weather types in Northern Spain based on atmospheric nanoparticles measurements: A pilot study." Science of The Total Environment 704, no. : 135320.

Editorial
Published: 25 September 2018 in Science of The Total Environment
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ACS Style

Georges Kouroussis; Konstantinos Vogiatzis; Pavlos Kassomenos. The effect of transportation vibration on the urban acoustic environment. Science of The Total Environment 2018, 650, 2640 .

AMA Style

Georges Kouroussis, Konstantinos Vogiatzis, Pavlos Kassomenos. The effect of transportation vibration on the urban acoustic environment. Science of The Total Environment. 2018; 650 ():2640.

Chicago/Turabian Style

Georges Kouroussis; Konstantinos Vogiatzis; Pavlos Kassomenos. 2018. "The effect of transportation vibration on the urban acoustic environment." Science of The Total Environment 650, no. : 2640.

Journal article
Published: 01 October 2016 in Science of The Total Environment
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ACS Style

Pavlos Kassomenos; Konstantinos Vogiatzis; George Kouroussis. Special Issue on Impact on the urban environment and the quality of life from the construction and operation of LRT (Light Rapid Transit) systems. Science of The Total Environment 2016, 568, 1275 -1275.

AMA Style

Pavlos Kassomenos, Konstantinos Vogiatzis, George Kouroussis. Special Issue on Impact on the urban environment and the quality of life from the construction and operation of LRT (Light Rapid Transit) systems. Science of The Total Environment. 2016; 568 ():1275-1275.

Chicago/Turabian Style

Pavlos Kassomenos; Konstantinos Vogiatzis; George Kouroussis. 2016. "Special Issue on Impact on the urban environment and the quality of life from the construction and operation of LRT (Light Rapid Transit) systems." Science of The Total Environment 568, no. : 1275-1275.

Journal article
Published: 19 April 2015 in Regional Environmental Change
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Climatic change results in increased occurrence of heat waves, and the thermal stress caused by such phenomena is leading to higher levels of heat-related mortality worldwide. This study is the first to examine the effect of extreme weather on mortality in Cyprus. It investigates the individual effect of meteorological indicators on mortality, as well as the role of particulate air pollution (PM10). A generalized linear model (GLM) with quasi-Poisson regression was implemented. GLM included a temperature function and was adjusted for relative humidity and seasonality. The temperature function was developed under a newly developed framework of distributed lag nonlinear models, which capture nonlinearities and delayed effects of heat simultaneously. GLM was extended to examine the confounding effect of air pollution. All the results on heat effects are presented. High temperatures had a significant effect on mortality with increased mortality rates, independent of humidity and seasonality. Mortality risk increased steeply above a temperature threshold. A direct heat effect was shown, with higher risk on the current and next day of a severe heat event. PM10 was not found to have a confounding effect on the temperature–mortality relationship, since the strength of this relationship remained after the inclusion of PM10 in the model. Differences existed between urban and coastal areas.

ACS Style

Haritini Tsangari; Anastasia Paschalidou; Sotiris Vardoulakis; Clare Heaviside; Zoi Konsoula; Stephanie Christou; Kyriakos E. Georgiou; Kyriaki Ioannou; Theodoulos Mesimeris; Savvas Kleanthous; Stelios Pashiardis; Pavlos Pavlou; Pavlos Kassomenos; Edna N. Yamasaki. Human mortality in Cyprus: the role of temperature and particulate air pollution. Regional Environmental Change 2015, 16, 1905 -1913.

AMA Style

Haritini Tsangari, Anastasia Paschalidou, Sotiris Vardoulakis, Clare Heaviside, Zoi Konsoula, Stephanie Christou, Kyriakos E. Georgiou, Kyriaki Ioannou, Theodoulos Mesimeris, Savvas Kleanthous, Stelios Pashiardis, Pavlos Pavlou, Pavlos Kassomenos, Edna N. Yamasaki. Human mortality in Cyprus: the role of temperature and particulate air pollution. Regional Environmental Change. 2015; 16 (7):1905-1913.

Chicago/Turabian Style

Haritini Tsangari; Anastasia Paschalidou; Sotiris Vardoulakis; Clare Heaviside; Zoi Konsoula; Stephanie Christou; Kyriakos E. Georgiou; Kyriaki Ioannou; Theodoulos Mesimeris; Savvas Kleanthous; Stelios Pashiardis; Pavlos Pavlou; Pavlos Kassomenos; Edna N. Yamasaki. 2015. "Human mortality in Cyprus: the role of temperature and particulate air pollution." Regional Environmental Change 16, no. 7: 1905-1913.

Journal article
Published: 01 August 2014 in Science of The Total Environment
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ACS Style

Selahattin Incecik; Alan Gertler; Pavlos Kassomenos. Aerosols and air quality. Science of The Total Environment 2014, 488-489, 355 .

AMA Style

Selahattin Incecik, Alan Gertler, Pavlos Kassomenos. Aerosols and air quality. Science of The Total Environment. 2014; 488-489 ():355.

Chicago/Turabian Style

Selahattin Incecik; Alan Gertler; Pavlos Kassomenos. 2014. "Aerosols and air quality." Science of The Total Environment 488-489, no. : 355.

Journal article
Published: 01 July 2014 in Environmental Pollution
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This paper aims to decompose the profile of particulates in Karlsruhe and Potsdam (Germany), focusing on the localization of PM potential transboundary sources. An air mass cluster analysis was implemented, followed by a study of air mass residence time on a grid of a 0.5° × 0.5° resolution. Particulate/gaseous daily air pollution and meteorological data were used to indicate PM local sources. Four Principal Component Analysis (PCA) components were produced: traffic, photochemical, industrial/domestic and particulate. PM2.5/PM10 ratio seasonal trends, indicated production of PMCOARSE (PM10-PM2.5) from secondary sources in Potsdam during warm period (WP). The residing areas of incoming slow moving air masses are potential transboundary PM sources. For Karlsruhe those areas were mainly around the city. An air mass residence time secondary peak was observed over Stuttgart. For Potsdam, areas with increased dwelling time of the arriving air parcels were detected particularly above E/SE Germany.

ACS Style

Konstantinos Dimitriou; Pavlos Kassomenos. Decomposing the profile of PM in two low polluted German cities – Mapping of air mass residence time, focusing on potential long range transport impacts. Environmental Pollution 2014, 190, 91 -100.

AMA Style

Konstantinos Dimitriou, Pavlos Kassomenos. Decomposing the profile of PM in two low polluted German cities – Mapping of air mass residence time, focusing on potential long range transport impacts. Environmental Pollution. 2014; 190 ():91-100.

Chicago/Turabian Style

Konstantinos Dimitriou; Pavlos Kassomenos. 2014. "Decomposing the profile of PM in two low polluted German cities – Mapping of air mass residence time, focusing on potential long range transport impacts." Environmental Pollution 190, no. : 91-100.

Journal article
Published: 19 July 2013 in Theoretical and Applied Climatology
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ACS Style

Konstantinos Dimitriou; Pavlos Kassomenos. Local and regional sources of fine and coarse particulate matter based on traffic and background monitoring. Theoretical and Applied Climatology 2013, 116, 413 -433.

AMA Style

Konstantinos Dimitriou, Pavlos Kassomenos. Local and regional sources of fine and coarse particulate matter based on traffic and background monitoring. Theoretical and Applied Climatology. 2013; 116 ():413-433.

Chicago/Turabian Style

Konstantinos Dimitriou; Pavlos Kassomenos. 2013. "Local and regional sources of fine and coarse particulate matter based on traffic and background monitoring." Theoretical and Applied Climatology 116, no. : 413-433.

Journal article
Published: 10 February 2013 in Theoretical and Applied Climatology
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Particulate air pollution is associated with adverse health effects to the population exposed. The aim of this paper is the identification of local and regional sources, affecting PM10 and PM2.5 levels in four large cities of southern Europe, namely: Lisbon, Madrid, Marseille, and Rome. Air pollution data from seven sampling sites of the European Union network were used. These stations were selected due to their ability of monitoring PM2.5 concentrations and providing reliable series of data. Each station’s background was also taken into account. Pearson correlation coefficients and primal component analysis components were extracted separately for cold and warm periods in order to define the relationships among particle matters (PMs) and gaseous pollutants (CO, NO2, SO2, and O3) and evaluate the contributions of local sources. Possible seasonal variations of PM2.5/PM10 ratio daily values were also used as markers of PM sources, influencing particulate size distribution. Particle emissions were primarily attributed to traffic and secondarily to natural sources. Minimum daily values of PM2.5/PM10 ratio were observed during warm periods, particularly at suburban stations with rural background, due to dust resuspension and also due to the increase of biogenic coarse PM (pollen, dust, etc.). Hybrid Single-Particle Lagrangian Integrated Trajectory Model trajectory model was used in order to compute the 4-day backward trajectories of the air masses that affected the four cities which are under study during days with recorded PM10 exceedances, within a 5-year period (2003–2007), at 300, 750, and 1,500 m above ground level (AGL). The trajectories were then divided to clusters with a K-means analysis. In all four cities, the influence of slow-moving air masses was associated with a large fraction of PM10 exceedances and with high average and maximum daily mean PM10 concentrations, principally at the 300 m AGL analysis. As far the issue of the increased PM10 concentrations, the results were weaker in Marseille and particularly in Rome, probably due to their greater distance from Northwest Africa, in comparison to Madrid and Lisbon. Dust intrusions from the Sahara desert and transportation of Mediterranean/Atlantic sea spray, were characterized as primary regional sources of exogenous PM10 in all four cities. Continental trajectories from the industrialized northern Italy affected PM10 levels particularly in Marseille and Rome, due to their more eastern geographical position.

ACS Style

Konstantinos Dimitriou; Pavlos Kassomenos. The fine and coarse particulate matter at four major Mediterranean cities: local and regional sources. Theoretical and Applied Climatology 2013, 114, 375 -391.

AMA Style

Konstantinos Dimitriou, Pavlos Kassomenos. The fine and coarse particulate matter at four major Mediterranean cities: local and regional sources. Theoretical and Applied Climatology. 2013; 114 (3-4):375-391.

Chicago/Turabian Style

Konstantinos Dimitriou; Pavlos Kassomenos. 2013. "The fine and coarse particulate matter at four major Mediterranean cities: local and regional sources." Theoretical and Applied Climatology 114, no. 3-4: 375-391.

Journal article
Published: 02 April 2011 in Air Quality, Atmosphere & Health
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The relative contribution of chemical (air pollution) and physical (temperature and humidity) health stressors to urban hospitalization rates is the objective of the current study. The data used in the study included the daily number of hospital admissions due to cardiorespiratory diseases, hourly mean concentrations of CO, NO2, SO2, O3, and black smoke in several monitoring stations, as well as meteorological data (temperature, relative humidity, wind speed/direction) in Athens, Greece. The relations among the data above were studied using Generalized Linear Models (GLMs) and Artificial Neural Networks (ANNs). Elevated particulate concentrations are the dominant parameter related to hospital admissions (an increase of 10 μg/m3 leads to an increase of 8.6% in hospital admissions), followed by O3 and the other atmospheric pollutants (CO, NO2, and SO2). Meteorological parameters also play a decisive role in the formation of air-pollutant levels affecting public health. Both models performed adequately, however the ANN adaptation in complicate environmental issues results in improved modeling outcomes compared to the GLMs. The major finding of the study lies on the flexibility and the adaptation of the methodological approach for assessing non-linear problems and specifically the effect of non-linear parameters, such as the temperature. Moreover, the importance of temperature is established even when the whole dataset is modeled, reflecting the dual mode effect of temperature on cardiorespiratory admissions. Considering the urgent challenge to predict climate change effects on public health, a mathematical tool that successfully captures the direct impact of the affecting meteorological parameters (temperature and humidity) to health outcomes is of high added value.

ACS Style

Pavlos Kassomenos; Michael Petrakis; Dimosthenis Sarigiannis; Alberto Gotti; Spyridon Karakitsios. Identifying the contribution of physical and chemical stressors to the daily number of hospital admissions implementing an artificial neural network model. Air Quality, Atmosphere & Health 2011, 4, 263 -272.

AMA Style

Pavlos Kassomenos, Michael Petrakis, Dimosthenis Sarigiannis, Alberto Gotti, Spyridon Karakitsios. Identifying the contribution of physical and chemical stressors to the daily number of hospital admissions implementing an artificial neural network model. Air Quality, Atmosphere & Health. 2011; 4 (3-4):263-272.

Chicago/Turabian Style

Pavlos Kassomenos; Michael Petrakis; Dimosthenis Sarigiannis; Alberto Gotti; Spyridon Karakitsios. 2011. "Identifying the contribution of physical and chemical stressors to the daily number of hospital admissions implementing an artificial neural network model." Air Quality, Atmosphere & Health 4, no. 3-4: 263-272.

Evaluation study
Published: 15 March 2011 in Science of The Total Environment
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Forecasting models based on stepwise multiple linear regression (MLR) have been developed for Athens and Helsinki. The predictor variables were the hourly concentrations of pollutants (NO, NO2, NOx, CO, O3, PM2.5 and PM10) and the meteorological variables (ambient temperature, wind speed/direction, and relative humidity) and in case of Helsinki also Monin-Obukhov length and mixing height of the present day. The variables to be forecasted are the maximum hourly concentrations of PM10 and NOx, and the daily average PM10 concentrations of the next day. The meteorological pre-processing model MPP-FMI was used for computing the Monin-Obukhov length and the mixing height. The limitations of such statistical models include the persistence of both the meteorological and air quality situation; the model cannot account for rapid changes (on a temporal scale of hours or less than a day) that are commonly associated, e.g., with meteorological fronts, or episodes of a long-range transport origin. We have selected the input data for the model from one urban background and one urban traffic station both in Athens and Helsinki, in 2005. We have used various statistical evaluation parameters to analyze the performance of the models, and inter-compared the performance of the predictions for both cities. Forecasts from the MLR model were also compared to those from an Artificial Neural Network model (ANN) to investigate, if there are substantial gains that might justify the additional computational effort. The best predictor variables for both cities were the concentrations of NOx and PM10 during the evening hours as well as wind speed, and the Monin-Obukhov length. In Athens, the index of agreement (IA) for NOx ranged from 0.77 to 0.84 and from 0.69 to 0.72, in the warm and cold periods of the year. In Helsinki, the corresponding values of IA ranged from 0.32 to 0.82 and from 0.67 to 0.86 for the warm and cold periods. In case of Helsinki the model accuracy was expectedly better on the average, when Monin-Obukhov length and mixing height were included as predictor variables. The models provide better forecasts of the daily average concentration, compared with the maximum hourly concentration for PM10. The results derived by the ANN model where only slightly better than the ones derived by the MLR methodology. The results therefore suggest that the MLR methodology is a useful and fairly accurate tool for regulatory purposes.

ACS Style

A. Vlachogianni; P. Kassomenos; Ari Karppinen; S. Karakitsios; Jaakko Kukkonen. Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki. Science of The Total Environment 2011, 409, 1559 -1571.

AMA Style

A. Vlachogianni, P. Kassomenos, Ari Karppinen, S. Karakitsios, Jaakko Kukkonen. Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki. Science of The Total Environment. 2011; 409 (8):1559-1571.

Chicago/Turabian Style

A. Vlachogianni; P. Kassomenos; Ari Karppinen; S. Karakitsios; Jaakko Kukkonen. 2011. "Evaluation of a multiple regression model for the forecasting of the concentrations of NOx and PM10 in Athens and Helsinki." Science of The Total Environment 409, no. 8: 1559-1571.

Original paper
Published: 02 December 2009 in Theoretical and Applied Climatology
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In this study, we used and compared three different statistical clustering methods: an hierarchical, a non-hierarchical (K-means) and an artificial neural network technique (self-organizing maps (SOM)). These classification methods were applied to a 4-year dataset of 5 days kinematic back trajectories of air masses arriving in Athens, Greece at 12.00 UTC, in three different heights, above the ground. The atmospheric back trajectories were simulated with the HYSPLIT Vesion 4.7 model of National Oceanic and Atmospheric Administration (NOAA). The meteorological data used for the computation of trajectories were obtained from NOAA reanalysis database. A comparison of the three statistical clustering methods through statistical indices was attempted. It was found that all three statistical methods seem to depend to the arrival height of the trajectories, but the degree of dependence differs substantially. Hierarchical clustering showed the highest level of dependence for fast-moving trajectories to the arrival height, followed by SOM. K-means was found to be the least depended clustering technique on the arrival height. The air quality management applications of these results in relation to PM10 concentrations recorded in Athens, Greece, were also discussed. Differences of PM10 concentrations, during certain clusters, were found statistically different (at 95% confidence level) indicating that these clusters appear to be associated with long-range transportation of particulates. This study can improve the interpretation of modelled atmospheric trajectories, leading to a more reliable analysis of synoptic weather circulation patterns and their impacts on urban air quality.

ACS Style

P. Kassomenos; Sotiris Vardoulakis; R. Borge; J. Lumbreras; C. Papaloukas; S. Karakitsios. Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories. Theoretical and Applied Climatology 2009, 102, 1 -12.

AMA Style

P. Kassomenos, Sotiris Vardoulakis, R. Borge, J. Lumbreras, C. Papaloukas, S. Karakitsios. Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories. Theoretical and Applied Climatology. 2009; 102 (1):1-12.

Chicago/Turabian Style

P. Kassomenos; Sotiris Vardoulakis; R. Borge; J. Lumbreras; C. Papaloukas; S. Karakitsios. 2009. "Comparison of statistical clustering techniques for the classification of modelled atmospheric trajectories." Theoretical and Applied Climatology 102, no. 1: 1-12.

Journal article
Published: 02 February 2009 in Sensors
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The objective of the current study was the development of a reliable modeling platform to calculate in real time the personal exposure and the associated health risk for filling station employees evaluating current environmental parameters (traffic, meteorological and amount of fuel traded) determined by the appropriate sensor network. A set of Artificial Neural Networks (ANNs) was developed to predict benzene exposure pattern for the filling station employees. Furthermore, a Physiology Based Pharmaco-Kinetic (PBPK) risk assessment model was developed in order to calculate the lifetime probability distribution of leukemia to the employees, fed by data obtained by the ANN model. Bayesian algorithm was involved in crucial points of both model sub compartments. The application was evaluated in two filling stations (one urban and one rural). Among several algorithms available for the development of the ANN exposure model, Bayesian regularization provided the best results and seemed to be a promising technique for prediction of the exposure pattern of that occupational population group. On assessing the estimated leukemia risk under the scope of providing a distribution curve based on the exposure levels and the different susceptibility of the population, the Bayesian algorithm was a prerequisite of the Monte Carlo approach, which is integrated in the PBPK-based risk model. In conclusion, the modeling system described herein is capable of exploiting the information collected by the environmental sensors in order to estimate in real time the personal exposure and the resulting health risk for employees of gasoline filling stations.

ACS Style

Dimosthenis A. Sarigiannis; Spyros P. Karakitsios; Alberto Gotti; Costas L. Papaloukas; Pavlos A. Kassomenos; Georgios A. Pilidis. Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks. Sensors 2009, 9, 731 -755.

AMA Style

Dimosthenis A. Sarigiannis, Spyros P. Karakitsios, Alberto Gotti, Costas L. Papaloukas, Pavlos A. Kassomenos, Georgios A. Pilidis. Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks. Sensors. 2009; 9 (2):731-755.

Chicago/Turabian Style

Dimosthenis A. Sarigiannis; Spyros P. Karakitsios; Alberto Gotti; Costas L. Papaloukas; Pavlos A. Kassomenos; Georgios A. Pilidis. 2009. "Bayesian Algorithm Implementation in a Real Time Exposure Assessment Model on Benzene with Calculation of Associated Cancer Risks." Sensors 9, no. 2: 731-755.

Journal article
Published: 24 April 2007 in Environmental Health
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The project "Assessment and prevention of acute health effects of weather conditions in Europe" (PHEWE) had the aim of assessing the association between weather conditions and acute health effects, during both warm and cold seasons in 16 European cities with widely differing climatic conditions and to provide information for public health policies.

ACS Style

Paola Michelozzi; Ursula Kirchmayer; Klea Katsouyanni; Annibale Biggeri; Glenn McGregor; Bettina Menne; Pavlos Kassomenos; Hugh Ross Anderson; Michela Baccini; Gabriele Accetta; Antonis Analytis; Tom Kosatsky. Assessment and prevention of acute health effects of weather conditions in Europe, the PHEWE project: background, objectives, design. Environmental Health 2007, 6, 12 -12.

AMA Style

Paola Michelozzi, Ursula Kirchmayer, Klea Katsouyanni, Annibale Biggeri, Glenn McGregor, Bettina Menne, Pavlos Kassomenos, Hugh Ross Anderson, Michela Baccini, Gabriele Accetta, Antonis Analytis, Tom Kosatsky. Assessment and prevention of acute health effects of weather conditions in Europe, the PHEWE project: background, objectives, design. Environmental Health. 2007; 6 (1):12-12.

Chicago/Turabian Style

Paola Michelozzi; Ursula Kirchmayer; Klea Katsouyanni; Annibale Biggeri; Glenn McGregor; Bettina Menne; Pavlos Kassomenos; Hugh Ross Anderson; Michela Baccini; Gabriele Accetta; Antonis Analytis; Tom Kosatsky. 2007. "Assessment and prevention of acute health effects of weather conditions in Europe, the PHEWE project: background, objectives, design." Environmental Health 6, no. 1: 12-12.