The RAMS-CALMET-CALGRID modelling system developed by the LaMMA consortium has been used as a supporting tool within the framework of the "MODIVASET" project promoted by the Tuscan Regional Government with the aim of modelling emission scenarios variations. The system is based on the RAMS meteorological model forecasting and the CALGRID photochemical grid dispersion model, being suitably modified for the present work to be applied for inert pollutants, i.e., NO(x). A one-year long-term application of RAMS-CALMET-CALGRID has been carried out over the Florence metropolitan area, Italy The study area is 49x40 Km(2) wide, featuring a 1-Km spaced 3-D computational grid. The main project's aim is to assess possible air quality improvements after a number of interventions on emission scenarios have been planned by local authorities. Therefore, basing on IRSE regional emission inventory, two emission scenarios have been set: a present one, updated to 2003, and a future one, projected to 2010-2012 years, where "business as usual" emission variations are supposed to occur. All types of emission sources have been taken into account, that is point, line and area (split into 4 sub-categories) ones. This enabled single contributions brought by any to be assessed, as well as the overall one. Summarizing, a total of 14 (2 scenarios by 7 sources) combinations has been run by the modelling system. CALGRID-calculated NO(x) concentrations resulting from present and future emission scenarios have been compared, both in terms of spatial pattern over the study area and locally referred to a number of chemical stations. The final result was a general NO(x) concentration reduction in the order of 10 divided by 35%, particularly effective over the Florence and Prato urban areas. Summarizing, the proper use of an integrated modelling system proved to be a fundamental tool for planning emission scenarios variations to improve air quality standards. Moreover, methodologies implemented and results achieved in the present paper are in agreement with other similar scenarios analysis works.
Modelling emission scenarios variations: an inert-mode CALGRID long-term application over the Florence metropolitan area
Giovanni Gualtieri;Francesca Calastrini
2008
Abstract
The RAMS-CALMET-CALGRID modelling system developed by the LaMMA consortium has been used as a supporting tool within the framework of the "MODIVASET" project promoted by the Tuscan Regional Government with the aim of modelling emission scenarios variations. The system is based on the RAMS meteorological model forecasting and the CALGRID photochemical grid dispersion model, being suitably modified for the present work to be applied for inert pollutants, i.e., NO(x). A one-year long-term application of RAMS-CALMET-CALGRID has been carried out over the Florence metropolitan area, Italy The study area is 49x40 Km(2) wide, featuring a 1-Km spaced 3-D computational grid. The main project's aim is to assess possible air quality improvements after a number of interventions on emission scenarios have been planned by local authorities. Therefore, basing on IRSE regional emission inventory, two emission scenarios have been set: a present one, updated to 2003, and a future one, projected to 2010-2012 years, where "business as usual" emission variations are supposed to occur. All types of emission sources have been taken into account, that is point, line and area (split into 4 sub-categories) ones. This enabled single contributions brought by any to be assessed, as well as the overall one. Summarizing, a total of 14 (2 scenarios by 7 sources) combinations has been run by the modelling system. CALGRID-calculated NO(x) concentrations resulting from present and future emission scenarios have been compared, both in terms of spatial pattern over the study area and locally referred to a number of chemical stations. The final result was a general NO(x) concentration reduction in the order of 10 divided by 35%, particularly effective over the Florence and Prato urban areas. Summarizing, the proper use of an integrated modelling system proved to be a fundamental tool for planning emission scenarios variations to improve air quality standards. Moreover, methodologies implemented and results achieved in the present paper are in agreement with other similar scenarios analysis works.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
