No 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.