Air pollution resulting from sources located inside and nearby the urban context represents a significant problem in urban areas. Emission inventories offer comprehensive information on emission sources and fluxes and they are important tools to manage air quality. The main purpose of inventories is to provide an estimate of the pressure exerted on an area; clearly data accuracy is strongly related to their spatial resolution. This work describes a top-down approach to disaggregate a municipal emission inventory from an higher scale down to a lower one (100x100 m cells). The proposed methodology aims to develop a tool able to detail information on pressures impacting on a high density population area. The case study is the urban area of Ravenna (North-Eastern Italy). The methodology focuses on the main urban emission sources in the air: domestic heating and vehicular traffic. In order to develop a methodology applicable also with low information availability, different surrogate variables allowing the disaggregation were identified starting from the easiness of data retrieval. The selected variables are: resident population and volume of buildings (for domestic heating), type and length of roads (for vehicular traffic). The methodology is based on the following assumptions: 1) strong correlation between the emission of a given activity and the surrogate variable; 2) the correlation does not lose its significance down-sizing from higher to lower scale. The results obtained using the surrogate variables have been verified by the ones obtained by using the following data: fuel consumption for each household and emission flows for each road. The comparison has confirmed that the selected surrogate variables allow to obtain satisfactory results, in particular for domestic heating. The traffic has more uncertainty situations, particularly for the shorter secondary roads. The results of this work will then be use to evaluate the urban area air quality.
Spatial surrogates for the disaggregation of emission inventories inside the urban area / Marinello, Samuele; Andretta, Massimo; Righi, Serena; Lucialli, Patrizia; Pollini, Elisa. - (2012). (Intervento presentato al convegno Conference Urban Environmental Pollution 2012 tenutosi a Amsterdam nel Novembre 2012).
Spatial surrogates for the disaggregation of emission inventories inside the urban area
Samuele Marinello
;
2012
Abstract
Air pollution resulting from sources located inside and nearby the urban context represents a significant problem in urban areas. Emission inventories offer comprehensive information on emission sources and fluxes and they are important tools to manage air quality. The main purpose of inventories is to provide an estimate of the pressure exerted on an area; clearly data accuracy is strongly related to their spatial resolution. This work describes a top-down approach to disaggregate a municipal emission inventory from an higher scale down to a lower one (100x100 m cells). The proposed methodology aims to develop a tool able to detail information on pressures impacting on a high density population area. The case study is the urban area of Ravenna (North-Eastern Italy). The methodology focuses on the main urban emission sources in the air: domestic heating and vehicular traffic. In order to develop a methodology applicable also with low information availability, different surrogate variables allowing the disaggregation were identified starting from the easiness of data retrieval. The selected variables are: resident population and volume of buildings (for domestic heating), type and length of roads (for vehicular traffic). The methodology is based on the following assumptions: 1) strong correlation between the emission of a given activity and the surrogate variable; 2) the correlation does not lose its significance down-sizing from higher to lower scale. The results obtained using the surrogate variables have been verified by the ones obtained by using the following data: fuel consumption for each household and emission flows for each road. The comparison has confirmed that the selected surrogate variables allow to obtain satisfactory results, in particular for domestic heating. The traffic has more uncertainty situations, particularly for the shorter secondary roads. The results of this work will then be use to evaluate the urban area air quality.
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