气候变化领域集成服务门户(CCPortal): Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study

CCPortal

DOI	10.1016/j.atmosenv.2020.117752
	Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study
	Andre M.; Sartelet K.; Moukhtar S.; Andre J.M.; Redaelli M.
发表日期	2020
ISSN	1352-2310
卷号	241
英文摘要	Air pollution from road traffic and its mitigation is a major concern in most cities. A platform for simulating pollutant emissions and concentrations was developed and applied to the Île-de-France Region (Greater Paris) of France, taking account of anthropogenic and natural sources and ‘imported’ pollution from elsewhere in France and Europe. Four technological scenarios for 2025 were studied and compared to the 2014 reference situation (1-REF). These scenarios included the current evolution of the park with widespread adoption of diesel particulate filters (DPFs) (2-BAU), decline in the sale of diesel vehicles and a corresponding increase in petrol vehicle sales (3-PET), promotion of electric vehicles in urban areas (4-ELEC), and a combinaison with a decrease in traffic of about 15% in the densely populated area inside the A86 outer ring road (5-AIR). The corresponding vehicle fleets were determined using a fleet simulation model. Traffic pollutant emissions were computed with the COPERT4 European methodology and hourly traffic data over the Île-de-France road network. Particulate matter (PM10, PM2,5 and PM1,0), particles number (PN), black carbon (BC), organic matter (OM), nitrogen oxides (NOx) and nitrogen dioxide (NO2), non-methane volatile organic compounds (VOC), ammonia (NH3), carbon monoxide (CO) and carbon dioxide (CO2) were considered. Emissions for other sectors were taken from a regional inventory. Emissions outside the Île-de-France region (Europe and France) were derived from the European and French emission inventories. Pollutant concentrations (PM2,5, PM10, organic and inorganic PM10, PN, BC, NO2 and O3) were simulated over nested domains (Europe, France and Île-de-France) using the Polyphemus platform for two scenarios (2-BAU and 3-PET). Methodological aspects and results for Île-de-France are discussed here. All scenarios led to a sharp decrease in traffic emissions in Île-de-France (−30% to −60%) by 2025. The decline in diesel induced a stronger renewal of the fleet. PM and NOx emissions were more strongly reduced than VOC or NH3. Traffic reduction reduced all emissions in the densely populated area within the A86 outer ring road (−20% to −45% for exhaust particles and gaseous pollutants). The 2-BAU and 3-PET scenarios lowered annual average concentrations, especially for NO2 and BC, and more strongly influenced daily-peak than daily-average concentrations. In Île-de-France, PM of diameter <10 μm (PM10), and NO2 concentrations, decreased in the most densely populated areas. The entire population would benefit from a PM10 annual mean concentration decrease of ≥0.4 μg/m3, and the annual mean NO2 concentration would decrease by ≥ 10 μg/m3 for 40–50% of the population. For other pollutants (PM2.5, secondary pollutants, etc.), reductions were more limited, due to the other activity sectors and atmospheric chemistry. Ozone concentrations might even increase in urban locations, suggesting an increase in oxidants and thus an increase in secondary aerosol formation if precursors were not reduced. Differences between 2-BAU and 3-PET scenarios were slight. For PM and NO2 concentrations, the petrol scenario was slightly more favorable than the “business-as-usual” scenario with diesel vehicles and DPF; differences were strong for primary particles and NO2 and weak for secondary compounds. This slight advantage was due to lower emissions and accelerated fleet renewal (higher proportion of Euro 5 & 6). © 2020 Elsevier Ltd
关键词	Concentration COPERT Pollutant emission Polyphemus Road traffic Scenario Simulation Vehicle fleet Vehicle technology
语种	英语
scopus关键词	Air quality; Ammonia; Atmospheric chemistry; Carbon dioxide; Carbon monoxide; Diesel engines; Diesel locomotives; Electric automobiles; Fleet operations; Fog; Gasoline; Nitrogen oxides; Particulate emissions; Roads and streets; Simulation platform; Volatile organic compounds; Annual average concentration; Average concentration; Diesel particulate filters; Emission inventories; Methodological aspects; Non-methane volatile organic compounds; Pollutant concentration; Reference situation; Particles (particulate matter); ammonia; black carbon; carbon dioxide; carbon monoxide; gasoline; nitrogen dioxide; nitrogen oxide; organic matter; volatile organic compound; aerosol; air quality; ammonia; black carbon; carbon dioxide; carbon monoxide; electric vehicle; emission control; emission inventory; nitrogen dioxide; nitrogen oxides; road traffic; aerosol; air pollutant; air quality; Article; concentration (parameter); diesel engine; exhaust gas; France; methodology; motor vehicle; particulate matter 10; particulate matter 2.5; precursor; priority journal; simulation; urban area; France; Ile de France; Polyphemus
来源期刊	ATMOSPHERIC ENVIRONMENT
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/248935
作者单位	Université Gustave Eiffel - IFSTTAR, Bron, 69675, France; CEREA, Joint Laboratory Ecole des Ponts ParisTech, EdF R&D, Marne-la-Vallee, 77455, France; Airparif, Paris, 75004, France; CITEPA, Paris, 75010, France; ANSES, Maisons-Alfort, 94701, France
推荐引用方式 GB/T 7714	Andre M.,Sartelet K.,Moukhtar S.,et al. Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study[J],2020,241.
APA	Andre M.,Sartelet K.,Moukhtar S.,Andre J.M.,&Redaelli M..(2020).Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study.ATMOSPHERIC ENVIRONMENT,241.
MLA	Andre M.,et al."Diesel, petrol or electric vehicles: What choices to improve urban air quality in the Ile-de-France region? A simulation platform and case study".ATMOSPHERIC ENVIRONMENT 241(2020).