Ocena modelu dyspersji zanieczyszczeń powietrza OSPM: studium przypadku, Polska, Kraków

Rzeszutek, M.; Bogacki, M.

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Tytuł artykułu

Ocena modelu dyspersji zanieczyszczeń powietrza OSPM: studium przypadku, Polska, Kraków

Autorzy

Rzeszutek M. , Bogacki M.

Treść / Zawartość

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Warianty tytułu

Evaluation of the OSPM Air Pollutants Dispersion Model: Case Study, Krakow, Poland

Języki publikacji

Abstrakty

The study represents the evaluation of the OSPM model on the basis of the simulation results carried out for the street canyon located in the Zygmunt Krasinski alley in Krakow. Road emission was estimated based on the data from 2012 in regard to the traffic volume and the types of vehicles. Meteorological data were acquired from the station located in the vicinity of the examined canyon. Ambient air quality was determined based on the monitoring data from the urban background station in Krakow. The calculation results were compared with the 1-hour concentration measurements from the traffic station located on the green belt between the two lanes of the analysed canyon. The analysis was restricted to the nitrogen dioxide (NO₂) and the PM10 and PM².5 particulate matter concentrations. Model evaluation was carried out according to the methodology of the air quality models assessment. Values of OSPM model statistical evaluation parameters fall within the range of “good models”, which indicates a very good quality of this model calculation results. A very strong correlation between the results of calculations and the observations was found, particularly for the particulate matter PM10 and PM².5. Correlation coefficient values for these pollutants are 0.90 and 0.91, respectively. A detailed analysis revealed that the overall quality of the model is better with respect to nitrogen dioxide than for the analysed dust pollutants. However, this model is burdened with a tendency to underestimate 1-hour concentrations of particulate matter, which can be associated with: negligence of the lifting effect of the dust deposited on the road surface, the effect of removing the particulate filters from vehicles and the adequate ambient air quality for the analysed monitoring site. Very good agreement of the simulation results and observations indicates that the OSPM modelling system can be successfully applied to support the air quality management system in Krakow.

Słowa kluczowe

ocena modelu OSPM modelowanie dyspersji atmosferycznej kanion uliczny zanieczyszczenie powietrza

evaluation of model OSPM modeling of atmospheric dispersion street canyon air pollution

Wydawca

Politechnika Koszalińska

Czasopismo

Rocznik Ochrona Środowiska

Rocznik

2016

Tom

Tom 18, cz. 2

Strony

351--362

Opis fizyczny

Bibliogr. 23 poz.

Twórcy

autor

Rzeszutek M.

AGH Akademia Górniczo-Hutnicza w Krakowie

autor

Bogacki M.

AGH Akademia Górniczo-Hutnicza w Krakowie

Bibliografia

1. Aquilina, N. & Micallef, A. (2004). Evaluation of the operational street pollution model using data from European cities. Environmental Monitoring and Assessment, 95, 75-96.
2. Berkowicz, R., Ketzel, M., Jensen, S.S., Hvidberg, M. & Raaschou-Nielsen, O. (2008). Evaluation and application of OSPM for traffic pollution assessment for a large number of street locations. Environmental Modelling and Software, 23(3), 296-303.
3. Chang, J.C. & Hanna, S.R. (2004). Air quality model performance evaluation. Meteorology and Atmospheric Physics, 87, 167-196.
4. Elbir, T., Kara, M., Bayram, A., Altiok, H. & Dumanoglu, Y. (2011). Comparison of predicted and observed PM10 concentrations in several urban street canyons. Air Quality, Atmosphere and Health, 4(2), 121-131.
5. European Environment Agency (EEA) (2013). EMEP/EEA air pollutant emission inventory guidebook 2013: Technical guidance to prepare national emission inventories. Available at doi:10.2800/92722
6. European Environment Agency (EEA) (2015). Air quality in Europe – 2015 report. Available at doi:10.2800/62459
7. Gualtieri, G. (2010). A street canyon model intercomparison in Florence, Italy. Water, Air, & Soil Pollution, 2012, 461-482.
8. Hanna, S. & Chang, J. (2012). Acceptance criteria for urban dispersion model evaluation. Meteorology and Atmospheric Physics, 116(3-4), 133-146.
9. Holmes, N.S. & Morawska, L. (2006). A review of dispersion modelling and its application to the dispersion of particles: An overview of different dispersion models available. Atmospheric Environment, 40(30), 5902-5928.
10. Hülsmann, F., Gerike, R. & Ketzel, M. (2014). Modelling traffic and air pollution in an integrated approach – the case of Munich. Urban Climate, 10(4), 732-744.
11. Kakosimos, K.E., Hertel, O., Ketzel, M. & Berkowicz, R. (2010). Operational Street Pollution Model (OSPM) – A review of performed application and validation studies, and future prospects. Environmental Chemistry, 7(6), 485-503.
12. Kukkonen, J. et al. (2003). Evaluation of the OSPM model combined with an urban background model against the data measured in 1997 in Runeberg Street, Helsinki. Atmospheric Environment, 37(8), 1101-1112.
13. Mancilla, Y. & Mendoza, A. (2012). A tunnel study to characterize PM2.5 emissions from gasoline-powered vehicles in Monterrey, Mexico. Atmospheric Environment, 59, 449-460.
14. Murena, F., Favale, G., Vardoulakis, S. & Solazzo, E. (2009). Modelling dispersion of traffic pollution in a deep street canyon: Application of CFD and operational models. Atmospheric Environment, 43(14), 2303-2311.
15. Oleniacz, R., Bogacki, M., Rzeszutek, M. & Kot, A. (2014). Meteorologiczne determinanty jakości powietrza w Krakowie. W: J. Konieczyński (red.), Ochrona powietrza w teorii i praktyce (t. 2, s. 163-178). Zabrze: Instytut Podstaw Inżynierii Środowiska Polskiej Akademii Nauk w Zabrzu.
16. Pant, P. & Harrison, R.M. (2013). Estimation of the contribution of road traffic emissions to particulate matter concentrations from field measurements: A review. Atmospheric Environment, 77, 78-97.
17. Scire, J.S., Robe, F.R., Fernau, M. E. & Yamartino, R. J. (2000). A user’s guide for the CALMET meteorological model (Version 5). Available at http://www.src.com/calpuff/download/CALMET_UsersGuide.pdf
18. Thaker, P. & Gokhale, S. (2015). The impact of traffic-flow patterns on air quality in urban street canyons. Environmental pollution, 208, 161-169.
19. U.S. EPA (2011). AP 42, Fifth Edition, Compilation of air pollutant emission factors. Section 13.2.1, Paved Roads. Available at https://www3.epa.gov/ttn/chief/ap42/ch13/final/c13s01.pdf
20. Vardoulakis, S., Fisher, B.E., Pericleous, K. & Gonzalez-Flesca, N. (2003). Modelling air quality in street canyons: A review. Atmospheric Environment, 37(2), 155-182.
21. Vardoulakis, S., Valiantis, M., Milner, J. & ApSimon, H. (2007). Operational air pollution modelling in the UK-Street canyon applications and challenges. Atmospheric Environment, 41(22), 4622-4637.
22. Weber, S., Kordowski, K. & Kuttler, W. (2013). Variability of particle number concentration and particle size dynamics in an urban street canyon under different meteorological conditions. Science of the Total Environment, 449, 102-114.
23. Ziv, A., Berkowicz, R., Genikhovich, E.L., Palmgren, F. & Yakovleva, E. (2002). Analysis of the St. Petersburg traffic data using the OSPM. Water, Air, & Soil Pollution: Focus, 2(5), 297-310.

Uwagi

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.

Typ dokumentu

Bibliografia

Identyfikator YADDA

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