Journal: Atmospheric Environment

Abbreviation

Atmos. Environ.

Publisher

Elsevier

Journal Volumes

ISSN

1352-2310
1878-2442

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Publications1 - 10 of 93
  • Elevated aerosol stratification above the Rhine Valley under strong anticyclonic conditions
    Item type: Journal Article
    Frioud, M.; Mitev, V.; Matthey, R.; et al. (2003)
    Atmospheric Environment
  • Update of SO2 emission inventory in the Megacity of Chongqing, China by inverse modeling
    Item type: Journal Article
    Feng, Xiaoxiao; Zhang, Xiaole; Wang, Jing (2023)
    Atmospheric Environment
    Chongqing, a metropolitan with over 32 million residents in southwest China, has suffered from SO2 pollution since 1980s. The emission inventory is an important tool to evaluate the SO2 pollution and to design the effective emission reduction policies. The present work developed a scheme to update the obsolescent SO2 emission inventory in Chongqing obtained from Multi-resolution Emission Inventory for China in 2008 (MEIC2008). The updated emission inventory was estimated by integrating the a priori knowledge of the baseline emissions and the current observations based on Bayesian inference, in which the source-receptor sensitivities were calculated by the Decoupled Direct Method in Three Dimensions in the Community Multiscale Air Quality Modeling System (CMAQ DDM-3D). An analytical solution of the Bayesian theorem was derived based on the linear response assumption and applied to estimate the actual SO2 emissions. The updated emission inventory was comparable with the most recent MEIC emission inventory in 2016 and 2017, and was in line with the decline trend of SO2 emissions in Chongqing in the last decade. The adjustment of the emissions improved the accuracy in predicting SO2 concentrations with the developed method.
  • Recent atmospheric Pb deposition at a rural site in southern Germany assessed using a peat core and snowpack, and comparison with other archives
    Item type: Journal Article
    Le Roux, Gaël; Aubert, Dominique; Stille, Peter; et al. (2005)
    Atmospheric Environment
  • The impact of automation and connectivity on traffic flow and CO2 emissions
    Item type: Journal Article
    Makridis, Michail; Mattas, Konstantinos; Mogno, Caterina; et al. (2020)
    Atmospheric Environment
    The interest on the impact of vehicle automation and connectivity in the future road transport networks is very high, both from a research and a policy perspective. Results in the literature show that many of the anticipated advantages of connected and automated vehicles or automated vehicles without connectivity (CAVs and AVs respectively) on congestion and energy consumption are questionable. Some studies provide quantitative answers to the above questions through microsimulation but they systematically ignore the realistic simulation of vehicle dynamics, driver behaviour or instantaneous emissions estimates, mostly due to the overall increased complexity of the transport systems and the need for low computational demand on large-scale simulations. However, recent studies question the capability of common car-following models to produce realistic vehicle dynamics or driving behaviour, which directly impacts emissions estimations as well. This work presents a microsimulation study that contributes on the topic, using a scenario-based approach to give insights regarding the impact of CAVs and AVs on the evolution of emissions over a highway network. The motivation here is to answer whether the different driving behaviours produce significant differences in emissions during rush hours, and how significant is the impact of detailed vehicle dynamics simulation and instantaneous emissions in the outcome. The status of the network is assessed in terms of flow and speed. Furthermore, emissions are estimated using both the average-speed EMEP/EEA fuel consumption factors and a generic version of the European Commission's CO2MPAS model that provides instantaneous fuel consumption estimates. The simulation results of this work show that AVs can deteriorate the status of the network, and that connectivity is the key for improved traffic flow. Emissions-wise, the AVs have the highest fuel consumption per km travelled among other types, while CAVs only marginally lower the overall consumption of human-driven vehicles. For the same traffic demand, the total emissions for different vehicle types remain at comparable levels.
  • Atmospheric composition change
    Item type: Journal Article
    Isaksen, I. S.A.; Granier, C.; Myhre, G.; et al. (2009)
    Atmospheric Environment
  • Measurement of plutonium isotopes, (PU)-P-239 and Pu-240, in air-filter samples from Seville (2001-2002)
    Item type: Journal Article
    Chamizo, E.; García-León, Manuel; Enamorado, S.M.; et al. (2010)
    Atmospheric Environment
  • First detection of nitrogen from NOx in tree rings
    Item type: Journal Article
    Saurer, M.; Cherubini, P.; Ammann, M.; et al. (2004)
    Atmospheric Environment
  • Atmospheric composition change - global and regional air quality
    Item type: Journal Article
    Monks, Paul S.; Granier, Claire; Fuzzi, Sandro; et al. (2009)
    Atmospheric Environment
  • Air quality modelling over Bogota, Colombia
    Item type: Journal Article
    Zárate, Erika; Belalcázar, Luis Carlos; Clappier, Alain; et al. (2007)
    Atmospheric Environment
Publications1 - 10 of 93