GS 3: Environment & EcologyGS 3: Science & TechnologyGS 2: GovernancePrelims

Predictive analytics dashboards, hotspot detection: AI-based system set to make AQI forecast sharper, Pg4

IIT-Kanpur's Airawat Foundation partners with Delhi to deploy AI-driven system, promising sharper, year-round air quality forecasts and boosting GRAP effectiveness.

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Key Highlights:

  • IIT-Kanpur's Airawat Research Foundation (ARF) is developing an AI-based system to enhance air quality forecasting in Delhi.
  • The new system aims to provide sharper, year-round, and granular predictions, replacing the current Decision Support System (DSS).
  • An MoU has been signed between ARF and the Delhi Environment department for this pilot initiative.
  • It will offer 48-72 hour advance forecasts, including hotspot detection and hyperlocal source apportionment.
  • The improved forecasts are crucial for effective implementation of the Graded Response Action Plan (GRAP) and National Clean Air Programme (NCAP).

Detailed Insights:

  • The existing DSS has limitations, including an ageing emission inventory (EI) and uneven accuracy, particularly outside winter months.
  • The Council on Energy, Environment and Water (CEEW) recommended regular updates to the EI and using Machine Learning (ML) for error correction.
  • The new AI-driven system will continuously learn from past AQI data to improve its predictions over time.
  • It will pinpoint areas where pollution is building up, identify regional airsheds, and trace contributions from individual sources.
  • The project also involves expanding Delhi's monitoring network through low-cost sensors, mobile laboratories, and satellite data integration.
  • The agreement between ARF and the Delhi Environment department is valid for five years, with provisions for extension.

Key Concepts Involved:

  • Air Quality Index (AQI): A measure indicating the level of air pollution and its associated health risks.
  • Decision Support System (DSS): A computer-based system that assists in decision-making by analyzing data and providing insights.
  • Emission Inventory (EI): A comprehensive database detailing sources of air pollutants and the quantities they release.
  • Graded Response Action Plan (GRAP): A set of emergency measures implemented in Delhi-NCR to combat severe air pollution based on AQI levels.
  • National Clean Air Programme (NCAP): A national-level strategy in India to reduce air pollution across cities in a time-bound manner.
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