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Pregled bibliografske jedinice broj: 1072874

Evaluation of receptor and chemical transport models for PM10 source apportionment

Belis, C.A.; Pernigotti, D.; Pirovano, G.; Favez, O.; Jaffrezo, J.L.; Kuenen, J.; Denier van Der Gon, H.; Reizer, M.; Riffault, V.; Alleman, L.Y. et al.
Evaluation of receptor and chemical transport models for PM10 source apportionment // Atmospheric Environment: X, 5 (2020), 100053, 23 doi:10.1016/j.aeaoa.2019.100053 (međunarodna recenzija, članak, znanstveni)

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Naslov
Evaluation of receptor and chemical transport models for PM10 source apportionment

Autori
Belis, C.A. ; Pernigotti, D. ; Pirovano, G. ; Favez, O. ; Jaffrezo, J.L. ; Kuenen, J. ; Denier van Der Gon, H. ; Reizer, M. ; Riffault, V. ; Alleman, L.Y. ; Almeida, M. ; Amato, F. ; Angyal, A. ; Argyropoulos, G. ; Bande, S. ; Beslic, I. ; Besombes, J.-L. ; Bove, M.C. ; Brotto, P. ; Calori, G. ; Cesari, D. ; Colombi, C. ; Contini, D. ; De Gennaro, G. ; Di Gilio, A. ; Diapouli, E. ; El Haddad, I. ; Elbern, H. ; Eleftheriadis, K. ; Ferreira, J. ; Vivanco, M. Garcia ; Gilardoni, S. ; Golly, B. ; Hellebust, S. ; Hopke, P.K. ; Izadmanesh, Y. ; Jorquera, H. ; Krajsek, K. ; Kranenburg, R. ; Lazzeri, P. ; Lenartz, F. ; Lucarelli, F. ; Maciejewska, K. ; Manders, A. ; Manousakas, M. ; Masiol, M. ; Mircea, M. ; Mooibroek, D. ; Nava, S. ; Oliveira, D. ; Paglione, M. ; Pandolfi, M. ; Perrone, M. ; Petralia, E. ; Pietrodangelo, A. ; Pillon, S. ; Pokorna, P. ; Prati, P. ; Salameh, D. ; Samara, C. ; Samek, L. ; Saraga, D. ; Sauvage, S. ; Schaap, M. ; Scotto, F. ; Sega, K. ; Siour, G. ; Tauler, R. ; Valli, G. ; Vecchi, R. ; Venturini, E. ; Vestenius, M. ; Waked, A. ; Yubero, E.

Izvornik
Atmospheric Environment: X (2590-1621) 5 (2020); 100053, 23

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Source apportionment ; PM10 ; Receptor models ; Chemical transport models ; Intercomparison ; Lens

Sažetak
In this study, the performance of two types of source apportionment models was evaluated by assessing the results provided by 40 different groups in the framework of an intercomparison organised by FAIRMODE WG3 (Forum for air quality modelling in Europe, Working Group 3). The evaluation was based on two performance indicators: z-scores and the root mean square error weighted by the reference uncertainty (RMSEu), with preestablished acceptability criteria. By involving models based on completely different and independent input data, such as receptor models (RMs) and chemical transport models (CTMs), the intercomparison provided a unique opportunity for their cross-validation. In addition, comparing the CTM chemical profiles with those measured directly at the source contributed to corroborate the consistency of the tested model results. The most commonly used RM was the US EPA- PMF version 5. RMs showed very good performance for the overall dataset (91% of z-scores accepted) while more difficulties were observed with the source contribution time series (72% of RMSEu accepted). Industrial activities proved to be the most difficult sources to be quantified by RMs, with high variability in the estimated contributions. In the CTMs, the sum of computed source contributions was lower than the measured gravimetric PM10 mass concentrations. The performance tests pointed out the differences between the two CTM approaches used for source apportionment in this study: brute force (or emission reduction impact) and tagged species methods. The sources meeting the z-score and RMSEu acceptability criteria tests were 50% and 86%, respectively. The CTM source contributions to PM10 were in the majority of cases lower than the RM averages for the corresponding source. The CTMs and RMs source contributions for the overall dataset were more comparable (83% of the z-scores accepted) than their time series (successful RMSEu in the range 25% - 34%). The comparability between CTMs and RMs varied depending on the source: traffic/exhaust and industry were the source categories with the best results in the RMSEu tests while the most critical ones were soil dust and road dust. The differences between RMs and CTMs source reconstructions confirmed the importance of cross validating the results of these two families of models.

Izvorni jezik
Engleski



POVEZANOST RADA

Profili:

Avatar Url Ivan Bešlić (autor)

Avatar Url Krešimir Šega (autor)

Poveznice na cjeloviti tekst rada:

doi www.sciencedirect.com

Citiraj ovu publikaciju:

Belis, C.A.; Pernigotti, D.; Pirovano, G.; Favez, O.; Jaffrezo, J.L.; Kuenen, J.; Denier van Der Gon, H.; Reizer, M.; Riffault, V.; Alleman, L.Y. et al.
Evaluation of receptor and chemical transport models for PM10 source apportionment // Atmospheric Environment: X, 5 (2020), 100053, 23 doi:10.1016/j.aeaoa.2019.100053 (međunarodna recenzija, članak, znanstveni)
Belis, C., Pernigotti, D., Pirovano, G., Favez, O., Jaffrezo, J., Kuenen, J., Denier van Der Gon, H., Reizer, M., Riffault, V. & Alleman, L. (2020) Evaluation of receptor and chemical transport models for PM10 source apportionment. Atmospheric Environment: X, 5, 100053, 23 doi:10.1016/j.aeaoa.2019.100053.
@article{article, author = {Belis, C.A. and Pernigotti, D. and Pirovano, G. and Favez, O. and Jaffrezo, J.L. and Kuenen, J. and Denier van Der Gon, H. and Reizer, M. and Riffault, V. and Alleman, L.Y. and Almeida, M. and Amato, F. and Angyal, A. and Argyropoulos, G. and Bande, S. and Beslic, I. and Besombes, J.-L. and Bove, M.C. and Brotto, P. and Calori, G. and Cesari, D. and Colombi, C. and Contini, D. and De Gennaro, G. and Di Gilio, A. and Diapouli, E. and El Haddad, I. and Elbern, H. and Eleftheriadis, K. and Ferreira, J. and Vivanco, M. Garcia and Gilardoni, S. and Golly, B. and Hellebust, S. and Hopke, P.K. and Izadmanesh, Y. and Jorquera, H. and Krajsek, K. and Kranenburg, R. and Lazzeri, P. and Lenartz, F. and Lucarelli, F. and Maciejewska, K. and Manders, A. and Manousakas, M. and Masiol, M. and Mircea, M. and Mooibroek, D. and Nava, S. and Oliveira, D. and Paglione, M. and Pandolfi, M. and Perrone, M. and Petralia, E. and Pietrodangelo, A. and Pillon, S. and Pokorna, P. and Prati, P. and Salameh, D. and Samara, C. and Samek, L. and Saraga, D. and Sauvage, S. and Schaap, M. and Scotto, F. and Sega, K. and Siour, G. and Tauler, R. and Valli, G. and Vecchi, R. and Venturini, E. and Vestenius, M. and Waked, A. and Yubero, E.}, year = {2020}, pages = {23}, DOI = {10.1016/j.aeaoa.2019.100053}, chapter = {100053}, keywords = {Source apportionment, PM10, Receptor models, Chemical transport models, Intercomparison, Lens}, journal = {Atmospheric Environment: X}, doi = {10.1016/j.aeaoa.2019.100053}, volume = {5}, issn = {2590-1621}, title = {Evaluation of receptor and chemical transport models for PM10 source apportionment}, keyword = {Source apportionment, PM10, Receptor models, Chemical transport models, Intercomparison, Lens}, chapternumber = {100053} }
@article{article, author = {Belis, C.A. and Pernigotti, D. and Pirovano, G. and Favez, O. and Jaffrezo, J.L. and Kuenen, J. and Denier van Der Gon, H. and Reizer, M. and Riffault, V. and Alleman, L.Y. and Almeida, M. and Amato, F. and Angyal, A. and Argyropoulos, G. and Bande, S. and Beslic, I. and Besombes, J.-L. and Bove, M.C. and Brotto, P. and Calori, G. and Cesari, D. and Colombi, C. and Contini, D. and De Gennaro, G. and Di Gilio, A. and Diapouli, E. and El Haddad, I. and Elbern, H. and Eleftheriadis, K. and Ferreira, J. and Vivanco, M. Garcia and Gilardoni, S. and Golly, B. and Hellebust, S. and Hopke, P.K. and Izadmanesh, Y. and Jorquera, H. and Krajsek, K. and Kranenburg, R. and Lazzeri, P. and Lenartz, F. and Lucarelli, F. and Maciejewska, K. and Manders, A. and Manousakas, M. and Masiol, M. and Mircea, M. and Mooibroek, D. and Nava, S. and Oliveira, D. and Paglione, M. and Pandolfi, M. and Perrone, M. and Petralia, E. and Pietrodangelo, A. and Pillon, S. and Pokorna, P. and Prati, P. and Salameh, D. and Samara, C. and Samek, L. and Saraga, D. and Sauvage, S. and Schaap, M. and Scotto, F. and Sega, K. and Siour, G. and Tauler, R. and Valli, G. and Vecchi, R. and Venturini, E. and Vestenius, M. and Waked, A. and Yubero, E.}, year = {2020}, pages = {23}, DOI = {10.1016/j.aeaoa.2019.100053}, chapter = {100053}, keywords = {Source apportionment, PM10, Receptor models, Chemical transport models, Intercomparison, Lens}, journal = {Atmospheric Environment: X}, doi = {10.1016/j.aeaoa.2019.100053}, volume = {5}, issn = {2590-1621}, title = {Evaluation of receptor and chemical transport models for PM10 source apportionment}, keyword = {Source apportionment, PM10, Receptor models, Chemical transport models, Intercomparison, Lens}, chapternumber = {100053} }

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  • Scopus

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