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Announcement
Assessing greenhouse gas emissions and air pollution in Delhi by transport sector

Student name: Ms Kanchan Tomar
Guide: Dr Anand Madhukar
Year of completion: 2023
Host Organisation: GeoSpoc Geospatial Pvt Ltd.
Supervisor (Host Organisation): Mr Devdatta Tengshe
Abstract:

The decarbonization of the transportation sector has become a critical concern due to the increasing global awareness regarding climate change and air pollution. Urban areas, particularly the national capital Delhi in India, face significant challenges in this regard. Delhi is notorious for being one of the most polluted cities globally, with its transportation sector being a major contributor to greenhouse gas (GHG) emissions and air pollution. Hence, the objective of this study is to assess the emissions of GHGs and air pollutants stemming from Delhi's transportation sector.

This research aims to evaluate the levels of carbon dioxide (CO2), nitrogen oxides (NOx), and methane (CH4) emissions, which contribute to GHG emissions. Additionally, it seeks to estimate the emissions of carbon dioxide (CO2), nitrogen oxides (NOx), and particulate matter (PM), which are responsible for air pollution. The calculations will provide valuable insights into the magnitude of these pollutants originating from the transportation sector in Delhi. By analyzing these emissions, the study intends to contribute to a comprehensive understanding of the environmental impact caused by the transportation sector in Delhi. The findings will provide crucial information for policy makers, stakeholders, and researchers in formulating effective strategies and measures to address the pressing issues of climate change and air pollution in the city. The assessment is conducted by considering the Regional Transport Offices (RTOs) as a basis, which are further subdivided into districts. In the present paper, vehicular emission is analyzed using vehicle kilometer travelled and vehicle population and emission factor of gaseous pollutants. North Delhi has the highest emissions and pollutant level after interpolation, and geostatistical analysis techniques are utilized to enhance the analysis and explore the correlation between greenhouse gas pollutants and air pollution pollutants. LMV and 2W emit maximum emissions because of high fuel consumption and higher population and usage. It is worth noting that there is a scarcity of studies that comprehensively examine the combined impact of GHG emissions and air pollution in this context, so this study is an important contributor to this domain.