Analysis and Visualization of Hyperlocal Emissions Data in New Delhi and Mumbai

Abstract Deteriorating air quality has an adverse impact on human health and causes irreversible damage to the environment. On this matter, while existing works focus on investigating macro-level and entity-level emissions, investigation of hyperlocal emissions and pollution data in urban cities has received little attention. In practice, hyperlocal insights about pollutants in ambient air are critical for building community-level awareness about pollution and climate change, which is a precursor toward developing data-driven policies across neighbourhoods in large cities. Hence, as a part of this study, we installed multiple air quality sensors across two major cities in India, namely New Delhi and Mumbai. After preprocessing data from these sensors, we performed a detailed investigation to derive novel insights concerning hyperlocal information. Moreover, we provide a description of an interactive Python-based interface with querying abilities for users to understand hyperlocal ambient air in real-time. In the near future, we shall expand this effort to other cities across India.