OLYMPUS v1.0: development of an integrated air pollutant and GHG urban emissions model – methodology and calibration over greater Paris
Autor: | Isabelle Coll, Arthur Elessa Etuman |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
Pollutant
050210 logistics & transportation 010504 meteorology & atmospheric sciences 05 social sciences lcsh:QE1-996.5 Air pollution Context (language use) Energy consumption Environmental economics medicine.disease_cause 01 natural sciences Unit (housing) lcsh:Geology Traffic congestion Urban climate Greenhouse gas 0502 economics and business medicine Environmental science 0105 earth and related environmental sciences |
Zdroj: | Geoscientific Model Development, Vol 11, Pp 5085-5111 (2018) |
ISSN: | 1991-9603 |
Popis: | Air pollutants and greenhouse gases have many effects on health, the economy, urban climate and atmospheric environment. At the city level, the transport and heating sectors contribute significantly to air pollution. In order to quantify the impact of urban policies on anthropogenic air pollutants, the main processes leading to emissions need to be understood: they principally include mobility for work and leisure as well as household behavior, themselves impacted by a variety of social parameters. In this context, the OLYMPUS modeling platform has been designed for environmental decision support. It generates a synthetic population of individuals and defines the mobility of each individual in the city through an activity-based approach of travel demand. The model then spatializes road traffic by taking into account congestion on the road network. It also includes a module that estimates the energy demand of the territory by calculating the unit energy consumption of households and the commercial–institutional sector. Finally, the emissions associated with all the modeled activities are calculated using the COPERT emission factors for traffic and the European Environmental Agency (EEA) methodology for heating-related combustion. The comparison of emissions with AIRPARIF's regional inventory shows discrepancies that are consistent with differences in assumptions and input data, mainly in the sense of underestimation. The methodological choices and the potential ways of improvement, including the refinement of traffic congestion modeling and of the transport of goods, are discussed. |
Databáze: | OpenAIRE |
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