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Effects of Satellite Data Assimilation in Air Quality Modelling in Bulgaria Read chapter Read first chapter

2021 | OriginalPaper | Chapter

Performance of Operational Chemical Transport Models for Particulate Matter Concentrations in Bulgaria

Authors : Hristina Kirova, Nadya Neykova, Emilia Georgieva

Published in: Environmental Protection and Disaster Risks

Publisher: Springer International Publishing

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Abstract

The main objective of this study is to evaluate the performance of some well-known and widely used operational air quality modelling systems (EMEP-MSC-W, and the models at the Copernicus Atmosphere Monitoring Service (CAMS)) for simulations of ground-level particulate matter in Bulgaria. The analysis is focused on two months—a summer one (August 2017) and a winter one (February 2019). The comparison of models to observations from regular air quality background stations is based on statistical indicators and various plots (box plots, kernel density estimations, and scatter plots). The EMEP and CAMS regional models underestimate the observed concentrations, on average by about 50% for PM10 and by about 22% for PM2.5. These models perform better at a rural remote (mountain) site than at urban background stations indicating that the outputs of the models could be used for indicative values of PM background concentrations. The model inter-comparison consists of an analysis of the spatial distribution of monthly mean concentrations and values for domain averaged model concentrations. The CAMS global model simulates in summer different spatial distribution due to the assimilation of satellite data providing information for dust storms and wildfires.

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previous chapter Chemical Characteristics of Precipitation and Cloud Water at High Elevation Site in Bulgaria
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Literature
1.
McMurry, P., Shepherd, M.F., Vickery, J.S.: Particulate Matter Science for Policy Makers: A NARISTO Assessment. Cambridge University Press, Cambridge (2004)
2.
Miranda, A., Silveira, C., Ferreira, J., Monteiro, A., Lopes, D., Relvas, H., Borrego, C., Roebeling, P.: Current air quality plans in Europe designed to support air quality management policies. Atmos. Pollut. Res. 6(3), 434–443 (2015)CrossRef
3.
Solazzo, E., Bianconi, R., Pirovano, G., Matthias, V., Vautard, R., Moran, M.D., Appel, K.W., Bessagnet, B., Brandt, J., Christensen, J.H.: Operational model evaluation for particulate matter in Europe and North America in the context of AQMEII. Atmos. Environ. 53, 75–92 (2012)CrossRef
4.
5.
Schaap, M., Timmermans, R.M., Roemer, M., Boersen, G., Builtjes, P.J., Sauter, F.J., Velders, G.J., Beck, J.P.: The LOTOS EUROS model: description, validation and latest developments. Int. J. Environ. Pollut. 32(2), 270–290 (2008)CrossRef
6.
Sofiev, M., Galperin, M., Genikhovich, E.A.: Construction and evaluation of Eulerian dynamic core for the air quality and emergency modelling system SILAM. In: Borrego, C., Miranda A.I. (eds.) Air Pollution Modeling and Its Application, vol. XIX, pp. 699–701. Springer Netherlands, Dordrecht (2008)
7.
Mailler, S., Menut, L., Khvorostyanov, D., Valari, M., Couvidat, F., Siour, G., Turquety, S., Briant, R., Tuccella, P., Bessagnet, B., Colette, A., Letinois, L., Meleux, F.: CHIMERE-2017: from urban to hemispheric chemistry-transport modeling. Geosci. Model Dev. 10, 2397–2423 (2017)CrossRef
8.
Syrakov, D., Prodanova, M., Slavov, K., Etropolska, I., Ganev, K., Miloshev, N., Ljubenov, T.: Bulgarian system for air pollution forecast. J. Int. Sci. Pub. Ecol. Saf. 7(1), 325–334 (2013)
9.
Etropolska, I., Prodanova, M., Syrakov, D., Ganev, K., Miloshev, N., Slavov, K.: Bulgarian operative System for chemical weather forecast. In: Dimov, I., Dimova, S., Kolkovska, N. (eds.) Numerical Methods and Applications, NMA 2010. Lecture Notes in Computer Science, vol. 6046, pp. 141–149. Springer, Berlin, Heidelberg (2011)
10.
Brunner, D., Savage, N., Jorba, O., Eder, B., Giordano, L., Badia, A., Balzarini, A., Baró, R., Bianconi, R., Chemel, C., Curci, G., Forkel, R., Jiménez-Guerrero, P., Hirtl, M., Hodzic, A., Honzak, L., Im, U., Knote, C., Makar, P., Manders-Groot, A., van Meijgaard, E., Neal, L., Pérez, J.L., Pirovano, G., San Jose, R., Schröder, W., Sokhi, R.S., Syrakov, D., Torian, A., Tuccella, A., Werhahn, J., Wolke, R., Yahya, K., Zabkar, R., Zhang, Y., Hogrefe, C., Galmarini, S.: Comparative analysis of meteorological performance of coupled chemistry-meteorology models in the context of AQMEII phase 2. Atmos. Environ. 115, 470–498 (2015)CrossRef
11.
Curci, G., Hogrefe, C., Bianconi, R., Im, U., Balzarini, A., Baró, R., Brunner, D., Forkel, R., Giordano, L., Hirtl, M., Honzak, L., Jiménez Guerrero, P., Knote, C., Langer, M., Makar, P., Pirovano, G., Perez, J.L., San José, R., Syrakov, D., Tuccella, P., Werhahn, J., Wolke, R., Žabkar, R., Zhang, Y.: Uncertainties of simulated aerosol optical properties induced by assumptions on aerosol physical and chemical properties: an AQMEII-2 perspective. Atmos. Environ. 115, 541–552 (2015)CrossRef
12.
Im, U., Bianconi, R., Solazzo, E., Kioutsioukis, I., Badia, A., Balzarini, A., Baró, R., Bellasio, R., Brunner, D., Chemel, C., Curci, G., van der Gon, H.D., Flemming, J., Forkel, R., Giordano, L., Jiménez-Guerrero, P., Hirtl, M., Hodzic, A., Honzak, L., Jorba, O., Knote, C., Makar, P.A., Manders-Groot, A., Neal, L., Pérez, J.L., Pirovano, G., Pouliot, G., San Jose, R., Savage, N., Schroder, W., Sokhi, R.S., Syrakov, D., Torian, A., Tuccella, P., Wang, K., Werhahn, J., Wolke, R., Zabkar, R., Zhang, Y., Zhang, J., Hogrefe, C., Galmarini, S.: Evaluation of operational online-coupled regional air quality models over Europe and North America in the context of AQMEII phase 2. Part II: Particulate matter. Atmos. Environ. 115, 421–441 (2015)CrossRef
13.
Georgieva, E., Syrakov, D., Prodanova, M., Etropolska, I., Slavov, K.: Evaluating the performance of WRF-CMAQ air quality modelling system in Bulgaria by means of the DELTA tool. Int. J. Environ. Pollut. 57(3/4), 272–284 (2015)CrossRef
14.
Naydenova, I., Petrova, T., Velichkova, R., Simova I.: PM10 exceedance in Bulgaria. In: CBU International Conference on Innovations in Science and Education, pp. 1129–1138 (2018)
15.
16.
Simpson, D., Benedictow, A., Berge, H., Bergström, R., Emberson, L.D., Fagerli, H., Flechard, C.R., Hayman, G.D., Gauss, M., Jonson, J.E., Jenkin, M.E., Nyíri, A., Richter, C., Semeena, V.S., Tsyro, S., Tuovinen, J.-P., Valdebenito, Á., Wind, P.: The EMEP MSC-W chemical transport model—technical description. Atmos. Chem. Phys. 12(16), 7825–7865 (2012)CrossRef
17.
Binkowski, F., Shankar, U.: The regional particulate matter model. 1. Model description and preliminary results. J. Geophys. Res. Atmos. 1002(D12), 26191–26210 (1995)
18.
19.
Benedetti, A., Morcrette, J. J., Boucher, O., Dethof, A., Engelen, R., Fisher, M., Flentje, H., Huneeus, N., Jones, L., and Kaiser, J.: Aerosol analysis and forecast in the European centre for medium-range weather forecasts integrated forecast system: 2. Data assimilation. J. Geophys. Res. 114, D13205 (2009). https://​doi.​org/​10.​1029/​2008JD011115
20.
21.
22.
Acker, J.G., Leptoukh, G.: Online analysis enhances use of NASA earth science data. EOS Trans. AGU 88(2), 14–17 (2007)CrossRef
Metadata
Title
Performance of Operational Chemical Transport Models for Particulate Matter Concentrations in Bulgaria
Authors
Hristina Kirova
Nadya Neykova
Emilia Georgieva
Copyright Year
2021
Book
Environmental Protection and Disaster Risks

Print ISBN: 978-3-030-70189-5

Electronic ISBN: 978-3-030-70190-1

Copyright Year: 2021

DOI
https://doi.org/10.1007/978-3-030-70190-1_8