Particle.news
Download on the App Store
8 ARTICLES
·
4mo ago

Delhi Explores IIT Kanpur Tie-Up for AI System to Target Air Pollution at Its Source

A pilot in select wards using low-cost sensors will precede any wider rollout.

An environment department official said the plan is to initially carry out a pilot project – on a few wards – to assess data generation through low-cost sensors. (Getty Images/iStockphoto)
Image

Overview

  • Environment Minister Manjinder Singh Sirsa said the government is in talks with IIT Kanpur on an AI-enabled decision support system that fuses hyperlocal sensors, satellite data and dynamic source apportionment.
  • The proposed setup is designed to pinpoint contributions from road dust, vehicles, industry, waste burning and regional inputs at neighborhood scale to enable precise, timely interventions.
  • Officials are preparing a year-round clean-air framework that connects municipal bodies, district administrations and enforcement agencies on a shared data platform with defined roles and accountability.
  • The environment department will deliberate an implementation roadmap starting with a ward-level pilot using low-cost sensors to validate local data generation before scaling up.
  • Conventional measures continue, with 342 construction sites inspected in 24 hours, 6,291 km of roads mechanically swept, 405 anti-smog guns deployed, 7,023 challans issued and 65 non-destined trucks diverted.