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Assessment of GHG mitigation and CDM technology in urban transport sector of Chandigarh, India

Author:
Bhargava, Nitin, Gurjar, BholaRam, Mor, Suman, Ravindra, Khaiwal
Source:
Environmental science and pollution research international 2018 v.25 no.1 pp. 363-374
ISSN:
0944-1344
Subject:
air pollution, carbon dioxide, cities, climate change, emissions factor, greenhouse gas emissions, greenhouse gases, inventories, models, nitrous oxide, pollution control, road transportation, urban areas, vehicles (equipment), India
Abstract:
The increase in number of vehicles in metropolitan cities has resulted in increase of greenhouse gas (GHG) emissions in urban environment. In this study, emission load of GHGs (CO, N₂O, CO₂) from Chandigarh road transport sector has been estimated using Vehicular Air Pollution Inventory (VAPI) model, which uses emission factors prevalent in Indian cities. Contribution of 2-wheelers (2-w), 3-wheelers (3-w), cars, buses, and heavy commercial vehicles (HCVs) to CO, N₂O, CO₂, and total GHG emissions was calculated. Potential for GHG mitigation through clean development mechanism (CDM) in transport sector of Chandigarh under two scenarios, i.e., business as usual (BAU) and best estimate scenario (BES) using VAPI model, has been explored. A major contribution of GHG load (~ 50%) in Chandigarh was from four-wheelers until 2011; however, it shows a declining trend after 2011 until 2020. The estimated GHG emission from motor vehicles in Chandigarh has increased more than two times from 1065 Gg in 2005 to 2486 Gg by 2011 and is expected to increase to 4014 Gg by 2020 under BAU scenario. Under BES scenario, 30% of private transport has been transformed to public transport; GHG load was possibly reduced by 520 Gg. An increase of 173 Gg in GHGs load is projected from additional scenario (ADS) in Chandigarh city if all the diesel buses are transformed to CNG buses by 2020. Current study also offers potential for other cities to plan better GHG reduction strategies in transport sector to reduce their climate change impacts.
Agid:
5889498