A New Delhi-based study, which involved researchers from Energy Policy Institute at University of Chicago (EPIC), Yale University and New York University, has supported the use of low-cost sensors to improve pollution forecasting. It suggests building -driven low-cost monitoring systems that can detect hazardous urban air quality.
The study has offered a model that can identify pollution hotspots and place the low-cost sensors in such a way that these give accurate and better pollution-related data that could be used by the administration to take preventive measures.