Decision Support Systems (DSSs) are key tools to help the decision makers in the development of effective strategies to reduce atmospheric pollution. This is especially true for secondary atmospheric pollutants, which are generated in the atmosphere through complex non-linear reactions, involving anthropogenic and biogenic precursor emissions. In this work, a new methodology called Concentration Reduction Apportionment (CRA) technique, is formalized and applied to support decision makers in air quality planning. The feasible potential impacts and costs of the application of emission abatement measures in different clusters of anthropic activities on PM10 concentrations are assessed and a case study in Northern Italy is then presented.
Concentration Reduction Apportionment (CRA) Approach: a new methodology to define effective air quality plans.
CARNEVALE, Claudio;FINZI, Giovanna;PEDERZOLI, Anna;TURRINI, Enrico;VOLTA, Marialuisa
2017-01-01
Abstract
Decision Support Systems (DSSs) are key tools to help the decision makers in the development of effective strategies to reduce atmospheric pollution. This is especially true for secondary atmospheric pollutants, which are generated in the atmosphere through complex non-linear reactions, involving anthropogenic and biogenic precursor emissions. In this work, a new methodology called Concentration Reduction Apportionment (CRA) technique, is formalized and applied to support decision makers in air quality planning. The feasible potential impacts and costs of the application of emission abatement measures in different clusters of anthropic activities on PM10 concentrations are assessed and a case study in Northern Italy is then presented.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
