Cost-Effective Air Quality Monitoring with Decision Support

    • (Funded by Mphasis Labs at Ashoka and 3CS)
    • PI: Anirban Mondal (Ashoka University, India); Girish Agrawal (O.P. Jindal Global University) and P. Krishna Reddy, Professor, IIIT Hyderabad

The goal of this project is to provide a visual tool both for the public, and for administrators and planners charged with improving air quality. The tool will allow the public to assess in real-time the air quality around them, and work with their local representatives and government officials to take steps to improve their local air quality. The final product will also be an easy-to-use tool for state, regional and local administrators and planners to evaluate various scenarios for improving air quality, the impact of various interventions on air quality, by performing what-if analyses, and achieve SDG targets related to improving public health through improved air quality.

We are developing a dashboard, a visual tool, for the project cities to ensure progress towards achieving sustainable development in the mobility and environment sector. The architecture of this dashboard is shown below. Research challenges include (but are not limited to) intelligent data collection, data curation and integration w.r.t. event semantics, spatio-temporal database indexing, spatio-temporal query processing at different granularities, analytics to understand the correlation between air quality across multiple cities at different times, data visualization based on stakeholder preferences and recommendation alerts for users based on their queried preferences.

Architecture of Proposed Dashboard/Visual Tool

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