Evaluation of Air Quality for Various Demand Management Scenario (Work from Home and Switch to Electric) for a Region in Delhi NCR

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发表日期：

2024年

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U. Gupta,
S. Padma,
R. Singh,
A. Shukla,
N. Dogra,
S. Ram

摘要

The transport sector contributes towards 28% and 24% of total pollution for PM2.5 and PM10 respectively in the Winter season in the region of Delhi according to a source apportionment study 2016 carried out by The Energy and Resource Institute (TERI). In order to control the air pollution in the atmosphere, Electric vehicles are being promoted via various schemes to lure the public to make a switch from petrol or diesel run vehicles to electricity run vehicles (EV). This paper aims to study the effectiveness of implementing such schemes. In addition to this, the effects of initiatives such as Work from Home (WFH) on pollutant concentration reduction are also studied. This is achieved by creating an air dispersion model using UK based ADMS-Urban software for three scenarios namely Original Scenario, Switch to Electric (STE) scenario and WFH Scenario and comparing the output concentration for each scenario. To better understand the contribution of traffic on pollutants, three different intensities of traffic volume have been incorporated in this paper, namely High Traffic Road, Medium Traffic and Low Traffic. Since the major air pollutants emerging from the transport sector constitutes NOx and CO, a lot of research has been done in the past to understand these pollutants but little research has been done on the minor pollutants of the transport sector that is PM10 and PM2.5. Till date, all the research evaluated the particulate matter concentration collectively, combining all sizes of PM. This research focuses on drawing a line between PM10 and PM2.5 and therefore the effect on these pollutants due to the implementation of the demand management scenario has been done separately for PM10 and PM2.5. It is found that a reduction of up to 4.19% for STE scenario and 2.32% for WFH is possible for high traffic roads for PM10. For PM2.5, the reduction observed is 1.13% and 2.23% for WFH and STE scenarios respectively.