Highlights A sampling method is proposed to reduce the missing data impact on ship emission inventory. The calculation of ship emissions is sensitive to the temporal resolution of AIS data. Estimating all ship emissions in the Yangtze River provide scientific base to make regulations for limiting ship emissions.

    Abstract In this study, we propose a sampling method for calculating ship exhaust emission inventories, which reduces the uncertainties induced by missing ship static data in traditional methods. The stratified random sampling method is utilized to take sample ships based on the ship density, ship type, and main engine power. The exhaust emissions from sample ship are calculated using an activity-based method with 1 s temporal resolution AIS (Automatic Identification System) data. Then the regional ship exhaust emissions are estimated based on the sampling relationship. Sensitivity experiments show that the relative error of the proposed method decreases quickly with the sampling ratio (the ratio between the number of sampled ships and total ships) and it is less than 3.5% when the sampling ratio is higher than 10%. The method is used to estimate the inventories of ship exhaust emissions in the Yangtze river, which can improve the computational accuracy of ship emissions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    A sampling method for calculating regional ship emission inventories


    Beteiligte:
    Peng, Xin (Autor:in) / Wen, Yuanqiao (Autor:in) / Wu, Lichuan (Autor:in) / Xiao, Changshi (Autor:in) / Zhou, Chunhui (Autor:in) / Han, Dong (Autor:in)


    Erscheinungsdatum :

    2020-01-01




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Estimating Regional Air Quality Vehicle Emission Inventories: Constructing Robust Driving Cycles

    Lin, J. / Niemeier, D. A. | British Library Online Contents | 2003


    Ship Emission Inventories in Estuary of the Yangtze River Using Terrestrial AIS Data

    Xin Yao / Junmin Mou / Pengfei Chen et al. | DOAJ | 2016

    Freier Zugriff


    Quantifying the effects of input aggregation and model randomness on regional transportation emission inventories

    Sider, Timothy / Goulet-Langlois, Gabriel / Eluru, Naveen et al. | Online Contents | 2015


    Advances in transport emission inventories and forecasts

    Samaras,Z. / Conservation of Clean Air and Water in Europe,CONCAWE,BE | Kraftfahrwesen | 2004