Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data

Abstract x (oxides of nitrogen), 64 Gg for VOC (volatile organic compound), 0.28 Gg for NH3 (ammonia), 0.26 Gg for N2 O (nitrous oxide) and 11.38 Gg for CH4 (methane) for 2018 with an uncertainty of 60 %–68 %. The hourly emission variation shows bimodal peaks corresponding to morning and evening rush hours and congestion. The minimum emission rates are estimated in the early morning hours whereas the maximum emissions occurred during the evening hours. Inner Delhi is found to have higher emission flux because of higher road density and relatively lower average speed. Petrol vehicles dominate emission share (> 50  %) across all pollutants except PM, BC and NOx, and within them the 2W (two-wheeler motorcycles) are the major contributors. Diesel-fuelled vehicles contribute most of the PM emission. Diesel and CNG (compressed natural gas) vehicles have a substantial contribution in NOx emission. This study provides very detailed spatiotemporal emission maps for megacity Delhi, which can be used in air quality models for developing suitable strategies to reduce the traffic-related pollution. Moreover, the developed methodology is a step forward in developing real-time emission with the growing availability of real-time traffic data. The complete dataset is publicly available on Zenodo at https://doi.org/10.5281/zenodo.6553770 (Singh et al., 2022).

Angaben zum Objekt

• Standort: Deutsche Nationalbibliothek Frankfurt am Main
• Umfang: Online-Ressource
• Sprache: Englisch

Verweise und Beziehungen

• Erschienen in: Spatially resolved hourly traffic emission over megacity Delhi using advanced traffic flow data ; volume:15 ; number:2 ; year:2023 ; pages:661-680 ; extent:20 ; Earth system science data ; 15, Heft 2 (2023), 661-680 (gesamt 20)

Beteiligte, Orts- und Zeitangaben

• Urheber: Biswal, Akash ; Singh, Vikas ; Malik, Leeza ; Tiwari, Geetam ; Ravindra, Khaiwal ; Mor, Suman

Weitere Informationen

• DOI: 10.5194/essd-15-661-2023
• URN: urn:nbn:de:101:1-2023033007190934873162
• Rechteinformation: Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
• Letzte Aktualisierung: 14.08.2025, 10:49 MESZ