The impact of a foehn wind on PM10 concentrations and the urban boundary layer in complex terrain: a case study from Kraków, Poland
References
- Álvarez, C. A. and Noel Carbajal, N. 2019. Regions of influence and environmental effects of Santa Ana wind event. Air Qual. Atmos. Health 12 , 1019–1034. doi:10.1007/s11869-019-00719-3
- Bénard, P. , Vivoda, J. , MašEk, J. , Smolíková, P. , Yessad, K. and co-authors. 2010. Dynamical kernel of the Aladin-NH spectral limited-area model: Revised formulation and sensitivity experiments. Q. J. R. Meteorol. Soc. 136 , 155–169. https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.522. doi:10.1002/qj.522
- Bokwa, A. 2011. Influence of air temperature inversions on the air pollution dispersion conditions in Krakow. Prace Geogr. IGiGP UJ 126 , 41–51. http://www.pg.geo.uj.edu.pl/documents/3189230/4482219/2011_126_41-51.pdf/3a9b98f7-8324-48de-a772-aba57ac3aae2.
-
Bokwa, A.
2007.
Zanieczyszczenie powietrza [Air pollution ]. In: Klimat Krakowa w XX wieku [Climate of Kraków in the 20th century] (ed. D. Matuszko ). Institute of Geography and Spatial Management, Jagiellonian University, Kraków, Poland, pp. 187–199. - Bokwa, A. 2008. Environmental impacts of long-term air pollution changes in Kraków, Poland. Pol. J. Envir. Stud. 17 , 673–686. http://www.pjoes.com/Issue-5-2008,3821.
- Bougeault, P. and Lacarrere, P. 1989. Parameterization of orography induced turbulence in a meso-beta-scale model. Mon. Wea. Rev. 117 , 1872–1888. https://journals.ametsoc.org/doi/abs/10.1175/1520-0493%281989%29117%3C1872%3APOOITI%3E2.0.CO%3B2. doi:10.1175/1520-0493(1989)117<;1872:POOITI>2.0.CO;2
- Brinkmann, W. A. R. 1971. What is a foehn? Weather 26 , 230–239. doi:10.1002/j.1477-8696.1971.tb04200.x
- Burnett, R. T. , Pope, C. A. , Ezzati, M. , Olives, C. , Lim, S. S. and co-authors. 2014. An integrated risk function for estimating the global burden of disease attributable to ambient fine particulate matter exposure. Environ. Health Perspect. 122 , 397–403. doi:10.1289/ehp.1307049
- Cetti, C. , Buzzi, B. , and Sprenger, M. 2015. Climatology of Alpine north foehn. Sci. Rep. MeteoSwiss 100 , 76.
- Corsmeier, U. , Kossmann, M. , Kalthoff, N. and Sturman, A. 2006. Temporal evolution of winter smog within a nocturnal boundary layer at Christchurch. Meteorol. Atmos. Phys. 91 , 129–148. doi:10.1007/s00703-005-0111-5
- Cuxart, J. , Bougeault, P. and Redelsperger, J.-L. 2000. A turbulence scheme allowing for mesoscale and large-eddy simulations. QJ. Royal Met. Soc. 126 , 1–30. https://rmets.onlinelibrary.wiley.com/doi/10.1002/qj.49712656202.
- Drechsel, S. and Mayr, G. J. 2008. Objective Forecasting of Foehn Winds for a Subgrid-Scale Alpine Valley. Weather Forecast. 23 , 205–218. doi:10.1175/2007WAF2006021.1
- Drobinski, P. , Steinacker, R. , Richner, H. , Baumann-Stanzer, K. , Beffrey, G. and co-authors. 2007. Föhn in the Rhine Valley during MAP: A review of its multiscale dynamics in complex valley geometry. Q. J. R. Meteorol. Soc. 133 , 897–916. doi:10.1002/qj.70
- Elvidge, A. D. , Renfrew, I. A. , King, J. C. , Orr, A. and Lachlan-Cope, T. A. 2016. Foehn warming distributions in nonlinear and linear flow regimes: a focus on the Antarctic Peninsula. Q. J. R. Meteorol. Soc. 142 , 618–631. doi:10.1002/qj.2489
- European Environment Agency . (2018). Air quality in Europe — 2018 report. European Environment Agency, Luxembourg, Publications Office of the European Union, http://www.eea.europa.eu/publications/air-quality-in-europe-2018.
- Flamant, C. , Drobinski, P. , Furger, M. , Chimani, B. , Tschannett, S. and co-authors. 2006. Föohn/cold-pool interactions in the Rhine valley during MAP IOP 15. Q. J. R. Meteorol. Soc. 132 , 3035–3058. doi:10.1256/qj.06.36
- Gohm, A. and Mayr, G. J. 2004. Hydraulic aspects of fohn winds in an Alpine valley. Q J. R Meteorol. Soc. 130 , 449–480. doi:10.1256/qj.03.28
-
Hajto, M.
and
Rozwoda, W.
2010.
Wykorzystanie danych sodarowych do oceny warunków rozprzestrzeniania się zanieczyszczeń w warstwie granicznej atmosfery w Krakowie [Application of sodar data for evaluation of air pollution dispersion conditions in the boundary layer in Kraków] . In: Ochrona powietrza w teorii i praktyce [Air Protection in Theory and Practice] , Vol. 2, Instytut Podstaw Inżynierii Środowiska Polskiej Akademii Nauk [Institute of Environmental Engineering, Polish Academy of Sciences], Zabrze, Poland, pp. 81–92. - Hann, J. 1901., Lehrbuch der Meteorologie (1st ed.), Verlag C. H. Tauchnitz, Leipzig, 805 pp.
- Hess, M. 1974. Klimat Krakowa [Climate of Kraków]. Folia Geogr. Ser. Geogr. Phys. 8 , 45–102.
- Hoinka, K. P. 2007. Observation of the airflow over the Alps during a foehn event. Qjr. Meteorol. Soc. 111 , 199–224. doi:10.1002/qj.49711146709
-
Kishcha, P.
,
Starobinets, B.
and
Alpert, P.
2017.
Modelling of foehn-induced extreme local dust pollution in the Dead Sea valley . In: Air Pollution Modeling and Its Applications XXV (eds. C. Mensink and G. Kallos ). Springer Proceedings in Complexity, Springer, Cham, pp. 433–437. doi:10.1007/978-3-319-57645-9_68. - Kunin, P. , Alpert, P. and Rostkier-Edelstein, D. 2019. Investigation of sea-breeze/foehn in the Dead Sea valley employing high resolution WRF and observations. Atmos. Res. 229 , 240–254. doi:10.1016/j.atmosres.2019.06.012
- Largeron, Y. and Staquet, C. 2016. Persistent inversion dynamics and wintertime PM10 air pollution in Alpine valleys. Atmos. Environ. 135 , 92–108. doi:10.1016/j.atmosenv.2016.03.045
- Li, X. , Xia, X. , Wang, L. , Cai, R. , Zhao, L. and co-authors. 2015. The role of foehn in the formation of heavy air pollution events in Urumqi, China. J. Geophys. Res. Atmos. 120 , 5371–5384. doi:10.1002/2014JD022778
- Li, Y. , Chen, Q. , Zhao, H. , Wang, L. and Tao, R. 2015. Variations in PM10, PM2.5 and PM1.0 in an urban area of the Sichuan basin and their relation to meteorological factors. Atmosphere 6 , 150–163. doi:10.3390/atmos6010150
- Liu, L. , Zhang, Z. , Zhong, J. , Wang, J. and Yang, Y. 2019. The ‘two-way feedback mechanism’ between unfavorable meteorological conditions and cumulative PM2.5 mass existing in polluted areas south of Beijing. Atmos. Environ. 208 , 1–9. doi:10.1016/j.atmosenv.2019.02.050
- Masson, V. , Le Moigne, P. , Martin, E. , Faroux, S. , Alias, A. and co-authors. 2013. The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. Geosci. Model Dev. 6 , 929–960. doi:10.5194/gmd-6-929-2013
- Mira-Salama, D. , Van Dingenen, R. , Gruening, C. , Putaud, J.-P. , Cavalli, F. and co-authors. 2008. Using Föhn Conditions to Characterize Urban and Regional Sources of Particles. Atmos. Res 90 , 159–169. doi:10.1016/j.atmosres.2008.02.007
- Moore, K. , Krudysz, M. , Pakbin, P. , Hudda, N. and Sioutas, C. 2009. Intra-Community Variability in total particle number concentrations in the San Pedro Harbor area (Los Angeles, California). Aerosol Sci. Technol. 43 , 587–603. doi:10.1080/02786820902800900
- Muñoz, R. C. and Corral, M. J. 2017. Surface Indices of wind, stability, and turbulence at a highly polluted urban site in Santiago, Chile, and their relationship with nocturnal particulate matter concentrations. Aerosol Air Qual. Res. 17 , 2780–2790. doi:10.4209/aaqr.2017.05.0190
- Nance, L. B. and Durran, D. R. 1998. A modeling study of nonstationary trapped mountain lee waves. Part II Nonlinearity. J. Atmos. Sci 55 , 1429–1445., 1998.
- Niedźwiedź, T. and Olecki, Z. 1994. Wpływ sytuacji synoptycznych na zanieczyszczenie powietrza w Krakowie. Zesz. Nauk UJ, Pr. Geogr 96 , 55–68. [Impact of synoptic situations on air pollution in Kraków].
-
Niedźwiedź, T.
and
Olecki, Z.
1995.
The variability of air pollution in Cracow . In: Klimat i bioklimat miast [Urban Climate and Bioclimate] (ed. K. Kłysik ). Publishing House of the University of Łódź, Łódź, pp. 205−212. - Pergaud, J. , Masson, V. , Malardel, S. and Couvreux, F. 2009. A parameterization of dry thermals and shallow cumuli for mesoscale numerical weather prediction. Boundary-Layer Meteorol. 132 , 83–106. doi:10.1007/s10546-009-9388-0
- Prtenjak, M. T. , Jericevic, A. , Kraljevic, L. , Bulic, I. H. , Nitis, T. and co-authors. 2009. Exploring atmospheric boundary layer characteristics in a severe SO2 episode in the north-eastern Adriatic. Atmos. Chem. Phys. 9 , 4467–4483. doi:10.5194/acp-9-4467-2009
-
Richner, H.
and
Hächler, P.
2013.
Understanding and forecasting alpine foehn . In: Mountain Weather Research and Forecasting (eds. F. Chow , S. De Wekker , and B. Snyder ). Springer Atmospheric Sciences. Springer, Dordrecht. - Seibert, P. 1990. South fohn studies since the ALPEX experiment. Meteorl. Atmos. Phys. 43 , 91–103. doi:10.1007/BF01028112
- Seinfeld, J. H. and Pandis, S. N. 1998. Atmospheric Chemistry and Physics: From Air Pollution to Climate Change . John Wiley and Sons, New York, NY, USA.
- Sheridan, P. F. 2019. Synoptic-flow interaction with valley cold-air pools and effects on cold-air pool persistence: Influence of valley size and atmospheric stability. Q. J. R. Meteorol. Soc. 145 , 1636–1659. doi:10.1002/qj.3517
- Sheridan, P. F. and Vosper, S. B. 2005. Numerical simulations of rotors, hydraulic jumps and eddy shedding in the Falkland Islands. Atmos. Sci. Lett. 6 , 211–218. doi:10.1002/asl.118
- Statistical Yearbook of Kraków . 2019. Statistical Office in Kraków. http://krakow.stat.gov.pl.
- Termonia, P. , Fischer, C. , Bazile, E. , Bouyssel, F. , Brožková, R. and co-authors. 2018. The ALADIN System and its Canonical Model Configurations AROME CY41T1 and ALARO CY40T1. Geosci. Model Dev. 11 , 257–281. doi:10.5194/gmd-11-257-2018
- Tomaszewska, A. M. 1994. Zależność stężeń zanieczyszczeń atmosfery w Krakowie od wybranych elementów meteorologicznych w okresie grzewczym 1992/1993 [Dependence of air pollution concentration in Kraków from selected meteorological elements in the heating season 1992/1993]. Wiad. IMGW 3 , 5–17.
- Toro A, R. , Kvakić, M. , Klaić, Z. B. , Koračin, D. , Morales S, R. G. E. and co-authors. 2019. Exploring atmospheric stagnation during a severe particulate matter air pollution episode over complex terrain in Santiago, Chile. Environ. Pollut. 244 , 705–714. doi:10.1016/j.envpol.2018.10.067
- Turton, J. V. , Kirchgaessner, A. , Ross, A. N. and King, J. C. 2018. The spatial distribution and temporal variability of föhn winds over the Larsen C Ice Shelf Antarctica Quarterly. Q. J. R. Meteorol. Soc. 144 , 1169–1178. doi:10.1002/qj.3284
- Ustrnul, Z. 1992a. Potencjalne warunki występowania wiatrów fenowych w Karpatach Polskich (Potential conditions of foehn effects in the Polish Carpathians). Zeszyty Naukowe UJ, Prace Geograficzne 90 , 97–112.
- Ustrnul, Z. 1992b. Influence of foehn winds on air temperature and humidity in the Polish Carpathians. Theor. Appl. Climatol. 45 , 43–47. doi:10.1007/BF00865992
- Vergeiner, J. 2004. South foehn studies and a new foehn classification scheme in the Wipp and Inn valley, Ph.D. thesis, Univ. of Innsbruck, Austria.
- Vicente, A. B. , Juan, P. , Meseguer, S. , Díaz-Avalos, C. and Serra, L. 2018. Variability of PM10 in industrialized-urban areas. New coefficients to establish significant differences between sampling points. Environ. Pollut. 234 , 969–978. doi:10.1016/j.envpol.2017.12.026
- Vüllers, J. , Mayr, G. J. , Corsmeier, U. and Kottmeier, C. 2018. Characteristics and evolution of diurnal foehn events in the Dead Sea valley. Atmos. Chem. Phys. 18 , 18169–18186. doi:10.5194/acp-18-18169-2018
- Walczewski, J. , Heryan, A. and Krokowski, J. A. 1996. Monitoring powietrza i wody w Krakowie jako narzędzie ochrony zdrowia mieszkańców [Air and water monitoring in Kraków as a tool of the inhabitans’ health protection]. Folia Geogr. Ser. Geogr. Phys. 26 − 27 , 159–171.
- Wang, C. , Wang, C. , Myint, S. and Wang, Z. 2017. Landscape determinants of spatio-temporal patterns of aerosol optical depth in the two most polluted metropolitans in the United States. Sci Total Environ. 609 , 1556–1565. doi:10.1016/j.scitotenv.2017.07.273
- WHO . 2016. WHO: Ambient Air Pollution: A global assessment of exposure and burden for disease 2016. WHO, Geneva. https://apps.who.int/iris/bitstream/handle/10665/250141/9789241511353-eng.pdf?sequence=1.
- Zängl, G. 2003. Deep and shallow south foehn in the region of Innsbruck: Typical features and semi-idealized numerical simulations. Meteorol. Atmos. Phys. 83 , 237–261. doi:10.1007/s00703-002-0565-7
DOI: https://doi.org/10.1080/16000889.2021.1933780 | Journal eISSN: 1600-0889
Language: English
Page range: 1933780 - 1933780
Published on: Jan 1, 2021
Published by: Stockholm University Press
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© 2021 Piotr Sekuła, Anita Bokwa, Zbigniew Ustrnul, Mirosław Zimnoch, Bogdan Bochenek, published by Stockholm University Press
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