Electric charge of atmospheric nanoparticles and its potential implications with human health

This research presents a pilot project developed within the framework of the COST Action 15,211 in which atmospheric nanoparticles were measured in July 2018, in a maritime environment in the city of Santander in Northern Spain. ELPI (R) + (Electrical low-Pressure Impactor) was used to measure nanoparticle properties (electric charge, number, size distribution and surface area) from 6 nm to 10,000 nm with 14 size channels. This study focused on the range between 6 and 380 nm. It considered atmospheric nanoparticle electric charge with surface area, deposited and number by size distribution at human respiratory tract regions in a standard person in Santander according to the human respiratory tract model of ICRP 94. An empirical distribution of nanoparticles deposited in the human respiratory tract model and its electric charge is presented for the city of Santander as the main output. Percentages of total and regional deposition in human respiratory tract model were calculated for the Atlantic climate. Nanoparticles have shown an alveolar surface area deposition plateau with a size distribution range between 6 nm to 150 nm. Negative charge of nanoparticles was clearly associated with primary atmospheric nanoparticles being mainly deposited in the alveolar region where a Brownian mechanism of deposition is predominant. We can demonstrate that electric charge may be a key element in explaining Brownian deposition of the smallest particles in the human respiratory tract and that it can be linked to theoretical positive and negative impacts on human health according to several biometeorological studies. To support our analysis, aerosol samples were characterized with transmission electron microscopy and Confocal Raman spectrometer to determinate morphology, size, chemical composition, and structure. The toxicological effects of the samples with the alveolar surface area had a greater deposition, remain to be studied.Peer reviewe

Levels, sources and seasonality of coarse particles (PM10-PM2.5) in three European capitals e implications for particulate pollution control

Coarse particles of aerodynamic diameter between 2.5 and 10 mm (PMc) are produced by a range of natural (windblown dust and sea sprays) and anthropogenic processes (non-exhaust vehicle emissions, industrial, agriculture, construction and quarrying activities). Although current ambient air quality regulations focus on PM2.5 and PM10, coarse particles are of interest from a public health point of view as they have been associated with certain mortality and morbidity outcomes. In this paper, an analysis of coarse particle levels in three European capitals (London, Madrid and Athens) is presented and discussed. For all three cities we analysed data from both traffic and urban background monitoring sites. The results showed that the levels of coarse particles present significant seasonal, weekly and daily variability. Their wind driven and non-wind driven resuspension as well as their roadside increment due to traffic were estimated. Both the local meteorological conditions and the air mass history indicating long-range atmospheric transport of particles of natural origin are significant parameters that influence the levels of coarse particles in the three cities especially during episodic events

Atmospheric circulation types and daily mortality in Athens, Greece.

We investigated the short-term effects of synoptic and mesoscale atmospheric circulation types on mortality in Athens, Greece. The synoptic patterns in the lower troposphere were classified in 8 a priori defined categories. The mesoscale weather types were classified into 11 categories, using meteorologic parameters from the Athens area surface monitoring network; the daily number of deaths was available for 1987-1991. We applied generalized additive models (GAM), extending Poisson regression, using a LOESS smoother to control for the confounding effects of seasonal patterns. We adjusted for long-term trends, day of the week, ambient particle concentrations, and additional temperature effects. Both classifications, synoptic and mesoscale, explain the daily variation of mortality to a statistically significant degree. The highest daily mortality was observed on days characterized by southeasterly flow [increase 10%; 95% confidence interval (CI), 6.1-13.9% compared to the high-low pressure system), followed by zonal flow (5.8%; 95% CI, 1.8-10%). The high-low pressure system and the northwesterly flow are associated with the lowest mortality. The seasonal patterns are consistent with the annual pattern. For mesoscale categories, in the cold period the highest mortality is observed during days characterized by the easterly flow category (increase 9.4%; 95% CI, 1.0-18.5% compared to flow without the main component). In the warm period, the highest mortality occurs during the strong southerly flow category (8.5% increase; 95% CI, 2.0-15.4% compared again to flow without the main component). Adjusting for ambient particle levels leaves the estimated associations unchanged for the synoptic categories and slightly increases the effects of mesoscale categories. In conclusion, synoptic and mesoscale weather classification is a useful tool for studying the weather-health associations in a warm Mediterranean climate situation

An Operational System For Monitoring Oil Spills In The Mediterranean Sea: The PROMED System

The primary objective of this work was the development of an operational system for early detection of oil-spills, monitoring of their evolution, and provision of support to responsible Public Authorities during cleanup operations, based on Remote Sensing and GIS technologies. In case of emergency, the principal characteristics of the oil spill are defined with the aid of a space-borne synthetic aperture radar (SAR). The transport, spreading and dispersion of the oil spill is subsequently simulated on the basis of wind forecasts of the area. The use of thematic maps of protected, fishing and urban areas, and regions of high tourism allows the better assessment of the impact of an oil spill on the areas to be affected in terms of environmental sensitivity. Finally, reports are generated notifying port authorities, the media, and local organizations to be potentially affected by the presence of the oil spill. The pilot site for testing the PROMED System in Greece is the island of Crete

Electrical Characterization of Circulation Weather Types in Northern Spain Based on Atmospheric Nanoparticles Measurements: A Pilot Study

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 lm] and [2.5?3.0 lm] 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 lm] are negatively related with air humidity, mainly with S-SE circulation pattern.Authors would like to thank Dekati Ltd. for providing the instrument used in this study through the company SOLMA Environmental Solutions SLU. Authors would like to thank NOAA Air researches Laboratory (ARL) for the provision of FNL-HYSPLIT data, the Hysplit transport and dispersion Model, and, the READY web site used in this publication. Also authors acknowledge Cost Action 15211, Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems, for funding a STSM of Prof. P. Kassomenos at the Geobiomet research group at the University of Cantabria, Santander. Authors would like to thank to support from the Spanish National Research Agency – Project CSO2016-75154-R and the European Funds for Regional Development (FEDER)

COST 733 - WG4: Applications of weather type classification

The main objective of the COST Action 733 is to achieve a general numerical method for assessing, comparing and classifying typical weather situations in the European regions. To accomplish this goal, different workgroups are established, each with their specific aims: WG1: Existing methods and applications (finished); WG2: Implementation and development of weather types classification methods; WG3: Comparison of selected weather types classifications; WG4: Testing methods for various applications. The main task of Workgroup 4 (WG4) in COST 733 implies the testing of the selected weather type methods for various classifications. In more detail, WG4 focuses on the following topics:• Selection of dedicated applications (using results from WG1), • Performance of the selected applications using available weather types provided by WG2, • Intercomparison of the application results as a results of different methods • Final assessment of the results and uncertainties, • Presentation and release of results to the other WGs and external interested • Recommend specifications for a new (common) method WG2 Introduction In order to address these specific aims, various applications are selected and WG4 is divided in subgroups accordingly: 1.Air quality 2. Hydrology (& Climatological mapping) 3. Forest fires 4. Climate change and variability 5. Risks and hazards Simultaneously, the special attention is paid to the several wide topics concerning some other COST Actions such as: phenology (COST725), biometeorology (COST730), agriculture (COST 734) and mesoscale modelling and air pollution (COST728). Sub-groups are established to find advantages and disadvantages of different classification methods for different applications. Focus is given to data requirements, spatial and temporal scale, domain area, specifi

Glossary on atmospheric electricity and its effects on biology

[EN] There is an increasing interest to study the interactions between atmospheric electrical parameters and living organisms at multiple scales. So far, relatively few studies have been published that focus on possible biological effects of atmospheric electric and magnetic fields. To foster future work in this area of multidisciplinary research, here we present a glossary of relevant terms. Its main purpose is to facilitate the process of learning and communication among the different scientific disciplines working on this topic. While some definitions come from existing sources, other concepts have been re-defined to better reflect the existing and emerging scientific needs of this multidisciplinary and transdisciplinary area of research.This paper is based upon work from the COST Action "Atmospheric Electricity Network: coupling with the Earth System, climate and biological systems (ELECTRONET)," supported by COST (European Cooperation in Science and Technology). AO received funding from Poland Ministry of Science and Higher Education for statutory research of the Institute of Geophysics, Polish Academy of Sciences (Grant No 3841/E-41/S/2019).Fdez-Arroyabe, P.; Kourtidis, K.; Haldoupis, C.; Savoska, S.; Matthews, J.; Mir, LM.; Kassomenos, P.... (2021). Glossary on atmospheric electricity and its effects on biology. International Journal of Biometeorology. 65(1):5-29. https://doi.org/10.1007/s00484-020-02013-9S529651Adrovic F (2012) Editor, Gamma radiation, IntechOpen.Alberts B (2014). Molecular biology of the cell (6th ed.). New York. ISBN 9780815344322Ambus Per, (2015) Sophie Zechmeister-Boltenstern Sophie, in Biology of the Nitrogen Cycle, 2007.G.P. Robertson1, P.M. Groffman2, in Soil Microbiology, Ecology and Biochemistry (4th Edition)Apollonio F, Liberti M, Paffi A, Merla C, Marracino P, Denzi A, Marino C, d’Inzeo G (2013) Feasibility for microwaves energy to affect biological systems via nonthermal mechanisms: a systematic approach. IEEE Trans Microwave Theory Techn 61(5):2031–2045. https://doi.org/10.1109/TMTT.2013.2250298Arnold F (1986) Atmospheric ions. Stud Environ Sci 26(103-133):135–142Barrington-Leigh CP, Inan US, Stanley M (2001) Identification of sprites and elves with intensified video and broadband array photometry. J Geophys Res 106(2):1741Bazilevskaya G (2000) Observations of variability in cosmic rays. Space Sci Rev 94:25–38. https://doi.org/10.1023/A:1026721912992Benson D, Markovich A, Lee SH (2010) Ternary homogeneous nucleation of H2SO, NH3, H2O under conditions relevant to the lower troposphere. Atmos Chem Phys 10(9):22395–22414Bonnafous P et al (1999) The generation of reactive-oxygen species associated with long-lasting pulse-induced electropermeabilization of mammalian cells is based on a non-destructive alteration of the plasma membrane. Biochim et BiophysActa (BBA) - Biomembr 1461:123–134. https://doi.org/10.1016/S0005-2736(99)00154-6Bór (2013) Optically perceptible characteristics of sprites observed in Central Europe in 2007-2009. J Atmos Sol Terr Phys 92:151–177. https://doi.org/10.1016/j.jastp.2012.10.008Bowker GE, Crenshaw HC (2007) Electrostatic forces in wind-pollination, Part 1: Measurement of the electrostatic charge on pollen. Atmos Environ 41(8):1587–1595Buonsanto MJ (1999) Ionospheric storms–a review. Space Sci Rev 88:563–601Chafai DE et al (2019) Reversible and irreversible modulation of tubulin self-assembly by intense nanosecond pulsed electric fields. Adv Mater 31:e1903636Chalmers JA (1949) Atmospheric electricity, 1st edn. Pergamon Press, OxfordChilingarian A, Soghomonyan S, Khanikyanc Y, Pokhsraryan D (2019) On the origin of particle fluxes from thunderclouds. Astropart Phys 105:54–62Cifra M, Pospíšil P (2014) Ultra-weak photon emission from biological samples: definition, mechanisms, properties, detection and applications. J Photochem Photobiol B Biol 139:2–10. https://doi.org/10.1016/j.jphotobiol.2014.02.009Cifra M, Fields JZ, Farhadi A (2011) Electromagnetic cellular interactions. Prog Biophys Mol Biol 105(3):223–246. https://doi.org/10.1016/j.pbiomolbio.2010.07.003Cifra M, Apollonio F, Liberti M et al (2020) Possible molecular and cellular mechanisms at the basis of atmospheric electromagnetic field bioeffects. Int J Biometeorol. https://doi.org/10.1007/s00484-020-01885-1Clarke D, Whitney H, Sutton G, Robert D (2013) Detection and learning of floral electric fields by bumblebees. Science 340:66–69Clarke D, Morley E, Robert D (2017) The bee, the flower, and the electric field: electric ecology and aerial electroreception. J Comp Physiol A 203(9):737–748Corbet SA, Beament J, Eisikowitch D (1982) Are electrostatic forces involved in pollen transfer? Plant Cell Environ 5(2):125–129Daintith and Gould (2006) The facts on file dictionary of astronomy/edited by John Daintith, William Gould New York, NY: Facts on File, c1994. Call # 520.3 FA. “Cosmic rays are a global source of ionization distributed through the Galaxy.” Source: Dalgarno, A. (2006), InterstelDal Maso M, Kulmala M, Lehtinen KEJ, Mäkelä JM, Aalto P, O’Dowd CD (2002) Condensation and coagulation sinks and formation of nucleation mode particles in coastal and boreal forest boundary layers. J Geophys Res 107. https://doi.org/10.1029/2001jd00Dal Maso M, Kulmala M, Riipinen I, Wagner R, Hussein T, Aalto PP, Lehtinen KEJ (2005) Formation and growth of fresh atmospheric aerosols: eight years of aerosol size distribution data from SMEAR II, Hyytiälä, Finland. Boreal Environ Res 1:2005Diaz AF, Felix-Navarro RM (2004) A semi-quantitative tribo-electric series for polymeric materials: the influence of chemical structure and properties. J Electrost 62(4):277–290. https://doi.org/10.1016/j.elstat.2004.05.005Djafer D, Irbah A (2013) Estimation of atmospheric turbidity over Ghardaïa city. Atmos Res, Elsevier 128:76–84. https://doi.org/10.1016/j.atmosres.2013.03.009ff.ffhal-00801475fDusenbery DB (1992) Sensory ecology. W.H. Freeman, New York ISBN 0-7167-2333-6EC-GPHSW (2013) European Commission. Guidance on the protection of the health and safety of workers from the potential risks related to nanomaterials at work-guidance for employers and health and safety practitioners. BrusselsEncyclopedia Britannica, (2019) https://www.britannica.com/ Accessed 1.10.2019European Committee for Standardization (1993) CEN-EN 481-workplace atmospheres-size fraction definitions for measurement of airborne particles.Fernandez de Arroyabe P, Lecha Estela L, Schimt F (2017) Digital divide, biometeorological data infrastructures and human vulnerability definition. Int J Biometeorol 2018:733–740. https://doi.org/10.1007/s00484-017-1398-xFeynman R (1970) The Feynman lectures on physics Vol II Addison-Wesley Publishing Longman.Finlay CC et al (2010) International Geomagnetic Reference Field: the eleventh generation. Geophys J Int 183(3):1216–1230Fishman GJ, Bhat PN, Mallozzi R, Horack JM, Koshut T, Kouveliotou C, Pendleton GN, Meegan CA, Wilson RB, Paciesas WS, Goodman SJ, Christian HJ (1994) Discovery of intense gamma-ray flashes of atmospheric origin. Science 264(5163):1313–1316. https://doi.org/10.1126/science.264.5163.1313Forbush SE (1937) On the effects in cosmic-ray intensity observed during the recent magnetic storm. Phys Rev 51(12):1108–1109. https://doi.org/10.1103/PhysRev.51.1108.3Franz RC, Nemzek RJ, Winckler JR (1990) Television image of a large upward electrical discharge above a thunderstorm system. Science 249:48–51Freeman S, Quilin K, Allison L (1965) Biological science 5th edition. (2013) Pearson Publishing.p.1059.Fullekrug, M., and M. J. Rycroft (2006) The contribution of sprites to the global atmospheric electric circuit. Earth Planets Space 58(9):1193–1196Fundamentals of Electronics (1965) Volume 1b — Basic Electricity - Alternating Current. Bureau of Naval Personnel. 1965. p. 197GFCS. WMO-WHO Global Framework for Climate Services (GFCS) (2020) http://www.wmo.int/gfcs/about-gfcs, Accessed 1.10.2019Gonzalez WD, Joselyn JA, Kamide Y, Kroehl HW, Rostoker G, Tsurutani BT, Vasyliunas VM (1994) What is a geomagnetic storm? J Geophys Res Space 99(A4):5771–5792. https://doi.org/10.1029/93JA02867GSFT - Glossary for the Solar Flare Theory (n.d.) web site by Gordon Holman and Sarah Benedict. Responsible NASA Official: Gordon D. Holman, Heliophysics Science Division, NASA/Goddard Space Flight Center, Solar Physics Laboratory / Code 671, [email protected] C (1998) Turbidity determination from broadband irradiance measurements: a detailed multi-coefficient approach. J Appl Meteorol 37:414–435Gunn R (1954) Diffusion charging of atmospheric droplets by ions, and the resulting combination coefficients. J Atmos Sci 11(5):339–347Haldoupis C (2012) Midlatitude sporadic E. A typical paradigm of atmosphere-ionosphere coupling. Space Sci Rev 168:441–461Handbook of Biological Effects of Electromagnetic Fields (third), (2007) Edited by Frank S. Barnes and Ben Greenebaum, 2007, CRC Press Taylor & Francis Group Boca Raton 33487-32742Hargreaves JK (1992) The solar-terrestrial environment. Cambridge Atmospheric and Space Science Series. Cambridge University PressHarrison RG (2000) Cloud formation and the possible significance of charge for atmospheric condensation and ice nuclei. Space Sci Rev 94(1):381–396Harrison RG (2013) The Carnegie curve. Surv Geophys 34:209–232. https://doi.org/10.1007/s10712-012-9210-2Harrison RG, Nicoll KA (2018) Fair weather criteria for atmospheric electricity measurements. J Atmos Sol Terr Phys 179:239–250Harrison RG, Tammet H (2008) Ions in the terrestrial atmosphere and other solar system atmospheres. Space Sci Rev 137:107–118. https://doi.org/10.1007/s11214-008-9356-xHayakawa M, Hattori K, Ando Y (2004) Natural electromagnetic phenomena and electromagnetic theory: a review. IEEJ Trans Fundam Mater 124(2004):72–79Hekstra DR et al (2016) Electric-field-stimulated protein mechanics. Nature 540.7633(2016):400Hinds W C (1982, 1999) Aerosol technology: properties, behavior and measurement of airborne particles, 2nd edn. Wiley, New York.Hirsikko A, Nieminen T, Gagné S, Lehtipalo K, Manninen HE, Ehn M, Hõrrak U, Kerminen VM, Laakso L, McMurry PH, Mirme A, Mirme S, Petäjä T, Tammet H, Vakkari V, Vana M, Kulmala M (2011) Atmospheric ions and nucleation: a review of observations. Atmos Chem Phys 11:767–798. https://doi.org/10.5194/acp-11-767-2011Hodgkin AL, Huxley AF (1952) Aquantitative description of membrane current and its application to conduction and excitation in nerves. J Physiol 117(4):500–544 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1392413/Hoppel WA (1969) Application of three-body recombination and attachment coefficients to tropospheric ions. Pure Appl Geophys 75:158–166Hörrak U, Salm J, Tammet H (2000) Statistical characterization of air ion mobility spectra at Tahkuse Observatory: classification of air ions. J Geophys Res 105(D7):9291–9302Hundhausen AJ (1995) The solar wind. In: Kivelson MG, Russell CT (eds) Introduction to space physics. Cambridge University Press, pp 91–198Hunting, E.R., Matthews, J., de Arróyabe Hernáez, P.F., England, S.J., Kourtidis, K., Koh, K., Nicoll, K., Harrison, R.G., Manser, K., Price, C. and Dragovic, S., (2020). Challenges in coupling atmospheric electricity with biological systems. u, pp.1-14. https://doi.org/10.1007/s00484-020-01960-7ICRP (1994) International Commission on Radiological Protection Human respiratory tract model for radiological protection, Annual 66.Imyanitov IM (1957) Instruments and methods for the study of atmospheric electricity (in Russian), Gostekhizdat.Imyanitov IM, Chubarina EV (1967) Electricity of free atmosphere, (Gidrometeoizdat, 1965) NASA/NSF Israel Program for Scientific Translations.Israël H (1971) Atmospheric electricity, Vol. I, Fundamentals, conductivity, ions, Israel Program for Scientific Translations, JerusalemIsraël H (1973) Atmospheric electricity, Vol. II, Fields, charges, currents, Israel Program for Scientific Translations, Jerusalem.James MR, Wilson L, Lane SJ, Gilbert JS, Mather TA, Harrison RG, Martin RS (2008) Electrical charging of volcanic plumes, Space Sci. Rev. 137:399–418. https://doi.org/10.1007/s11214-008-9362-zJärvinen A, Aitomaa M, Rostedt A, Keskinen J, Yli-Ojanperä J (2014) Calibration of the new electrical low pressure impactor (ELPI+). J Aerosol Sci 69:150–159. https://doi.org/10.1016/j.jaerosci.2013.12.006Kathren, RL (1998) NORM sources and their origins. Applied Radiation and Isotopes, 49(3):149–168.Kirkby J, Duplissy J, Sengupta K, Frege C, Gordon H, Williamson C, Heinritzi M, Simon M, Yan C, Almeida J, Tröstl J, Nieminen T, Ortega IK, Wagner R, Adamov A, Amorim A, Bernhammer AK, Bianchi F, Breitenlechner M, Brilke S, Chen X, Craven J, Dias A, Ehrhart S, Flagan RC, Franchin A, Fuchs C, Guida R, Hakala J, Hoyle CR, Jokinen T, Junninen H, Kangasluoma J, Kim J, Krapf M, Kürten A, Laaksonen A, Lehtipalo K, Makhmutov V, Mathot S, Molteni U, Onnela A, Peräkylä O, Piel F, Petäjä T, Praplan AP, Pringle K, Rap A, Richards NAD, Riipinen I, Rissanen MP, Rondo L, Sarnela N, Schobesberger S, Scott CE, Seinfeld JH, Sipilä M, Steiner G, Stozhkov Y, Stratmann F, Tomé A, Virtanen A, Vogel AL, Wagner AC, Wagner PE, Weingartner E, Wimmer D, Winkler PM, Ye P, Zhang X, Hansel A, Dommen J, Donahue NM, Worsnop DR, Baltensperger U, Kulmala M, Carslaw KS, Curtius J (2016) Ion-induced nucleation of pure biogenic particles. Nature 533:521–526. https://doi.org/10.1038/nature17953Kivelson MG, Russel ZT (1995) Introduction to space physics. Cambridge University Press, CambridgeKulkarni P, Baron PA, Willeke K (2011) Aerosol measurement: principles, techniques, and applications, 3rd edn. Wiley, New YorkKulmala M, Petäjä T, Nieminen T, Sipilä M, Manninen HE, Lehtipalo K, Dal Maso M, Aalto PP, Junninen H, Paasonen P, Riipinen I, Lehtinen KE, Laaksonen A, Kerminen VM (2012) Measurement of the nucleation of atmospheric aerosol particles. Nat Protoc 7(9):1651–1667. https://doi.org/10.1038/nprot.2012.091https://www.nature.com/articles/nprot.2012.091Kulmala M, Petaja T, Ehn M, Thornton J, Sipila M, Worsnop DR, Kerminen VM (2014) Chemistry of atmospheric nucleation: on the recent advances on precursor characterization and atmospheric cluster composition in connection with atmospheric new particle formation. Annu Rev Phys Chem 65:21–37L’Annunziata MF (2016) Radioactivity, ElsevierLaakso L, Anttila T, Lehtinen KEJ, Aalto PP, Kulmala M, Hõrrak U, Paatero J, Hanke M, Arnold F (2004) Kinetic nucleation and ions in boreal forest particle formation events. Atmos Chem Phys 4:2353–2366. https://doi.org/10.5194/acp-4-2353-2004Lee J-H, Jang A, Bhadri PR, Myers RR, Timmons W, Beyette FR, Papautsky I (2006) Fabrication of microelectrode arrays for in situ sensing of oxidation reduction potentials. Sensors Actuators B 115:220–226.Liberti M, Apollonio F, Merla C, D’Inzeo G (2009) Microdosimetry in the microwave range: a quantitative assessment at single cell level. IEEE Antennas Wireless Propagation Lett 8(5170009):865–868Lidén G (2011) The European Commission tries to define nanomaterials. Ann OccupHyg 55:1–5. https://doi.org/10.1093/annhyg/meq092Liu KN (2002) An introduction to atmospheric radiation. Academic Press, CambridgeLove JJ, Bedrosian PA (2019) Extreme-event geoelectric hazard maps. In: Buzulukova N (ed) Extreme events in geospace-origins, predictability, and consequences. Elsevier, Amsterdam, pp 209–230Lui ATY (1992) Magnetospheric substorms. Physics Fluids B: Plasma Physics 4:2257–2263. https://doi.org/10.1063/1.860194Maccarrone M, Fantini C, Finazzi Agrò A, Rosato N (1998) Kinetics of ultraweak light emission from human erythroleukemia K562 cells upon electroporation. Biochim et BiophysActa (BBA) - Biomembr 1414:43–50. https://doi.org/10.1016/S0005-2736(98)00150-3MacGorman D, Rust WD (1998) The electrical nature of storms. Oxford University Press, New YorkMach DM, Blakeslee RJ, Bateman MG (2011) Global electric circuit implications of combined aircraft storm electric current measurements and satellite-based diurnal lightning statistics. J Geophys Res 116:D05201. https://doi.org/10.1029/2010JD014462Magono C (1980) Thunderstorms. Elsevier, AmsterdamMarkson R (2007) The global circuit intensity: its measurement and variation over the last 50 years. Bull Am Meteorol Soc 88(2):223–242. https://doi.org/10.1175/BAMS-88-2-223Marracino P et al (2019) Tubulin response to intense nanosecond-scale electric field in molecular dynamics simulation. Sci Rep 9.1(2019):10477Mathews JD (1998) Sporadic E: current views and recent progress. J Atmos Sol-Terr Phys 60:413McIver SB (1985) Mechanoreception. In: Kerkut GA, Gilbert LI (eds) Comprehensive Insect Physiol, Biochem and Pharma, 6th edn. Pergamon Press, OxfordMcPherron RL (1995) Magnetospheric dynamics. In: Kivelson MG, Russell CT (eds) Introduction to space physics. Cambridge University Press, Cambridge, pp 400–457Mirabel PJ, Jaecker-Voirol A (1988) Binary homogeneous nucleation. In: Wagner PE, Vali G (eds) Atmospheric aerosols and nucleation. Lecture Notes in Physics, 309th edn. Springer, BerlinMirme A, Tamm E, Mordas G, Vana M, Uin J, Mirme S, Bernotas T, Laakso L, Hirsikko A, Kulmala M (2007) A wide-range multi-channel air ion spectrometer. Boreal Environ Res 12:247–264Miroshnichenko L (2015) Solar cosmic rays: fundamentals and applications. Springer, BerlinMitsutake G, Otsuka K, Hayakawa M, Sekiguchi M, Corndlissen G, Halberg F (2005) Does Schumann resonance affect our blood pressure? Biomed Pharmacother 59:S10–S14Munn RE (1987) Bioclimatology. In: Climatology. Encyclopedia of Earth Science. Springer, Boston. https://doi.org/10.1007/0-387-30749-4_26NASA (2020) https://www.nasa.gov/mission_pages/rbsp/science/rbsp-spaceweather.html Accessed in February 2020Neubert T, Rycroft M, Farges T, Blanc E, Chanrion O, Arnone E, Odzimek A, Arnold N, Enell C-F, Turunen E, Bosinger T, Mika A, Haldoupis C, Steiner RJ, Van der Velde O, Soula S, Berg P, Boberg F, Thejll P, Christiansen B, Ignaccolo M, Fullekrug M, Verronen PT, Montanya J, Crosby N (2008) Recent results from studies of electric discharges in the mesosphere. Surv Geophys 29:71–137. https://doi.org/10.1007/s10712-008-9043-1Nickolaenko AP, Hayakawa M, Hobara Y, (2010) Q-Bursts: natural ELF radio transients, Surv Geophys, Volume 31 4:409-425. https://doi.org/10.1007/s10712010-9096-9Nickolaenko AP, Hayakawa M (2002) Resonances in the Earth–ionosphere cavity. Kluwer Academic Publishers, DordrechtOdzimek A, Baranski P, Kubicki M, Jasinkiewicz D (2018) Electrical signatures of nimbostratus and stratus clouds in ground-level vertical atmospheric electric field and current density at mid-latitude station Swider, Poland. Atmos Res 109C:188–203. https://doi.org/10.1016/j.atmosres.2018.03.018Ogawa T, Tanaka Y, Yasuhara M, Fraser-Smith AC, Gendrin R (1967) Worldwide simultaneity of occurrence of a Q-type burst in the Schumann resonance frequency range. J Geomagn Geoelectr 19:377–384Ouzounov D, Pulinets S, Hattori K, Taylor P (2018) Pre-earthquake processes: a multidisciplinary approach to earthquake prediction studies. American Geophysical Union, WashingtonPalmer SJ, Rycroft MJ, Cermak M (2006) Solar and geomagnetic activity, extremely low frequency magnetic and electric fields and human health at the Earth’s surface. Surv Geophys 27:557–595Parkinson WL, Torreson OW (1931) The diurnal variation of the electric potential of the atmosphere over the oceans. Union Géodésique et Géophysique Internationale Bulletin 8:340–345Pasko VP, Yair Y, Kuo C-L (2012) Lightning related transient luminous events at high altitude in the Earth’s atmosphere: phenomenology, mechanisms, and effects, Space Sci. Rev. 168:475–516. https://doi.org/10.1007/s11214-011-9813-9Pöschl U (2005) Atmospheric aerosols: composition, transformation, climate and health effects. Angewandte Chemie International Edition 44, no. 46 (2005): 7520–40.Price C (2016) ELF Electromagnetic waves from lightning: the Schumann resonances. Atmosphere 7(9):116. https://doi.org/10.3390/atmos7090116Price C, Williams E, Elhalel G, & Sentman D (2020). Natural ELF fields in the atmosphere and in living organisms. In J Biometeorol 1-8.Priest ER (1995) Sun and its magnetohydrodynamics. In: Kivelson MG, Russell CT (eds) Introduction to space physics. Cambridge University Press, Cambridge, pp 58–90Probstein RF, Hicks R (1993) Removal of contaminants from soils by electric fields. Science 260(5107):498–503Purcell and Morin (2013) Harvard University. Electricity and Magnetism, 820 pages (3rd). Cambridge University Press, New York. ISBN 978-1-107-01402-2.Rakov VA, Uman MA (2002) Lightning: physics and effects. Press, Cambridge UniversityReiter R (1985) Fields, currents and aerosols in the lower atmosphere, Steinkopff Verlag, NSF Translation TT 76-52030Repacholi, Michael HB, Greenebaum B (1999) Interaction of static and extremely low frequency electric and magnetic fields with living systems: health effects and research needs. Bioelectromagnetics 20(3):133–160Revil A, Naudet V, Nouzaret J, Pessel M (2003) Principles of electrography applied to self-potential electrokinetic sources and hydrogeological applications. Water Resour Res 39(5)Rich PR (2003) The molecular machinery of Keilin’s respiratory chain. Biochem Soc Trans 31(Pt 6):1095–1105. https://doi.org/10.1042/BST0311095Rishbeth H, Garriot OK (1969), Introduction to ionospheric physics, Academic Press.Rodger CJ (1999) Red sprites, upward lightning, and VLF perturbations. Rev Geophys 37(3):317–336. https://doi.org/10.1029/1999RG900006Rogers RR (1979) A short course in cloud physics. Press, PergamonRoss E, Chaplin WJ (2019) The behaviour of galactic cosmic-ray intensity during solar activity cycle 24. Sol Phys 294:8Ruggeri F, Zosel F, Mutter N, Różycka M, Wojtas M, Ożyhar A, Schuler B, Krishnan M (2017) Single-molecule electrometry. Nat Nanotechnol 12(5):488–495Runge J, Balasis G, Daglis IA, Papad

Study of PM10 and PM2.5 levels in three European cities: Analysis of intra and inter urban variations

In the present paper, 1-year PM10 and PM 2.5 data from roadside and urban background monitoring stations in Athens (Greece), Madrid (Spain) and London (UK) are analysed in relation to other air pollutants (NO,NO2,NOx,CO,O3 and SO2)and several meteorological parameters (wind velocity, temperature, relative humidity, precipitation, solar radiation and atmospheric pressure), in order to investigate the sources and factors affecting particulate pollution in large European cities. Principal component and regression analyses are therefore used to quantify the contribution of both combustion and non-combustion sources to the PM10 and PM 2.5 levels observed. The analysis reveals that the EU legislated PM 10 and PM2.5 limit values are frequently breached, forming a potential public health hazard in the areas studied. The seasonal variability patterns of particulates varies among cities and sites, with Athens and Madrid presenting higher PM10 concentrations during the warm period and suggesting the larger relative contribution of secondary and natural particles during hot and dry days. It is estimated that the contribution of non-combustion sources varies substantially among cities, sites and seasons and ranges between 38-67% and 40-62% in London, 26-50% and 20-62% in Athens, and 31-58% and 33-68% in Madrid, for both PM10 and PM 2.5. Higher contributions from non-combustion sources are found at urban background sites in all three cities, whereas in the traffic sites the seasonal differences are smaller. In addition, the non-combustion fraction of both particle metrics is higher during the warm season at all sites. On the whole, the analysis provides evidence of the substantial impact of non-combustion sources on local air quality in all three cities. While vehicular exhaust emissions carry a large part of the risk posed on human health by particle exposure, it is most likely that mitigation measures designed for their reduction will have a major effect only at traffic sites and additional measures will be necessary for the control of background levels. However, efforts in mitigation strategies should always focus on optimal health effects