A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes
The mixing layer height (MLH) is a crucial parameter in order to investigate the near surface concentrations of air pollutants. The MLH can be estimated by measurements of some atmospheric variables, by indirect estimates based on trace gases concentration or aerosol, or by numerical models. Here, a...
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| Format: | Article |
| Language: | English |
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Wiley
2015-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2015/298492 |
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| author | F. Guarnieri F. Calastrini C. Busillo G. Messeri B. Gozzini |
| author_facet | F. Guarnieri F. Calastrini C. Busillo G. Messeri B. Gozzini |
| author_sort | F. Guarnieri |
| collection | DOAJ |
| description | The mixing layer height (MLH) is a crucial parameter in order to investigate the near surface concentrations of air pollutants. The MLH can be estimated by measurements of some atmospheric variables, by indirect estimates based on trace gases concentration or aerosol, or by numerical models. Here, a modelling approach is proposed. The developed modelling system is based on the models WRF-ARW and CALMET. This system is applied on Firenze-Prato-Pistoia area (Central Italy), during 2010, and it is compared with in situ measurements. The aim of this work is to evaluate the use of MLH model estimates to characterize the critical episodes for PM10 in a limited area. In order to find out the meteorological conditions predisposing accumulation of PM10 in the atmosphere’s lower level, some indicators are used: daily mean wind speed, cumulated rainfall, and mean MLH estimates from CALMET model. This indicator is linked to orography, which has important consequences on local weather dynamics. However, during critical events the local emission sources are crucial to the determination of threshold exceeding of PM10. Results show that the modelled MLH, together with cumulative rainfall and wind speed, can identify the meteorological conditions predisposing accumulation of air pollutant at ground level. |
| format | Article |
| id | doaj-art-1a8eed4fb94040f5a9bbedc71d29cbd4 |
| institution | OA Journals |
| issn | 2356-6140 1537-744X |
| language | English |
| publishDate | 2015-01-01 |
| publisher | Wiley |
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| series | The Scientific World Journal |
| spelling | doaj-art-1a8eed4fb94040f5a9bbedc71d29cbd42025-08-20T02:02:00ZengWileyThe Scientific World Journal2356-61401537-744X2015-01-01201510.1155/2015/298492298492A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion ProcessesF. Guarnieri0F. Calastrini1C. Busillo2G. Messeri3B. Gozzini4LAMMA Consortium, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyLAMMA Consortium, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyLAMMA Consortium, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyIBIMET, National Research Council, Via G. Caproni 8, 50145 Florence, ItalyLAMMA Consortium, Via Madonna del Piano 10, 50019 Sesto Fiorentino, ItalyThe mixing layer height (MLH) is a crucial parameter in order to investigate the near surface concentrations of air pollutants. The MLH can be estimated by measurements of some atmospheric variables, by indirect estimates based on trace gases concentration or aerosol, or by numerical models. Here, a modelling approach is proposed. The developed modelling system is based on the models WRF-ARW and CALMET. This system is applied on Firenze-Prato-Pistoia area (Central Italy), during 2010, and it is compared with in situ measurements. The aim of this work is to evaluate the use of MLH model estimates to characterize the critical episodes for PM10 in a limited area. In order to find out the meteorological conditions predisposing accumulation of PM10 in the atmosphere’s lower level, some indicators are used: daily mean wind speed, cumulated rainfall, and mean MLH estimates from CALMET model. This indicator is linked to orography, which has important consequences on local weather dynamics. However, during critical events the local emission sources are crucial to the determination of threshold exceeding of PM10. Results show that the modelled MLH, together with cumulative rainfall and wind speed, can identify the meteorological conditions predisposing accumulation of air pollutant at ground level.http://dx.doi.org/10.1155/2015/298492 |
| spellingShingle | F. Guarnieri F. Calastrini C. Busillo G. Messeri B. Gozzini A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes The Scientific World Journal |
| title | A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes |
| title_full | A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes |
| title_fullStr | A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes |
| title_full_unstemmed | A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes |
| title_short | A Model Chain Application to Estimate Mixing Layer Height Related to PM10 Dispersion Processes |
| title_sort | model chain application to estimate mixing layer height related to pm10 dispersion processes |
| url | http://dx.doi.org/10.1155/2015/298492 |
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