The project address three interrelated problems:

  1. Development and validation of a low-cost sensor array system to measure all the parameters needed for air quality index determination.
  2. Development and validation of techniques for obtaining air quality data at high enough spatio-temporal resolution, over sustained periods at city scale, with guarantees on the quality of the data, while keeping the costs of data acquisition sufficiently low, to allow for vastly improving understanding of a variety of air pollution related challenges.
  3. Determination of the sources of the pollutants and quantify their contributions (especially for vehicular sources) via a combination of multi-modal non-invasive sensing, air quality modelling and statistical inference techniques.

The project’s objectives are:

  • Objective 1: Low-cost sensor development:
    • Low-cost gas sensor development for COx, NOx, SOx, led by IISc
    • VOC, PM2.5 and PM10 sensor development, led by CEERI
    • Sensor characterisation, led by IISc
  • Objective 2: Deployment and data acquisition
    • Pilot and large scale deployments at Bangalore, led by IISc
    • Pilot and deployment in Delhi, led by CEERI
  • Objective 3: Analytics and Modelling
    • Algorithm development for calibration, led by IISc
    • Understanding the air quality data obtained from field measurements, led by USC
    • Using dispersion models to develop spatiotemporal profiles of pollutants to predict the exposure for humans in traffic and also validate data from the low-cost sensors, led by IISc