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23/01/21 09:30 AM IST

AI to help improve the air quality

In news

Air Quality Commission ropes in top technical institutions to set up a Decision Support System

Significance
  • The System will use Artificial Intelligence(AI) to help improve the air quality over targeted sectors of Delhi /NCR
  • This tool will help immensely in capturing the static and dynamic features of the emissions from various sources.
  • It will have an integrated framework to handle both primary and secondary pollutants using chemical transport model.
  • The system will also be able to handle the source specific interventions with the framework to estimate benefits of interventions and will focus on presenting the best results in a comprehensive user friendly and simple format for different users.
Functioning
  • The Air Quality Management Decision Support Tool (DST) integrates an emissions inventory development application and database; regional, local and source–receptor modelling; and Geographical Information System (GIS) based visualization tools in a software framework so as to build a robust system to formulate and implement source specific interventions to improve the air quality over targeted sectors of Delhi / NCR.
  • Identification of source specific interventions by the DST is deliberated with the involvement of stake holders.
  • The sources covered will include industries, transport, power plants, residential, DG sets, road dust, agricultural burning, refuse burning, construction dust, ammonia, volatile organic compounds, landfill etc.  
  • For instance, municipalities, industrial associations, industrial development authorities etc. would be the stake holders for identifying interventions related to waste burning, industrial source pollution, respectively.
Air quality management refers to all the activities a regulatory authority undertakes to help protect human health and the environment from the harmful effects of air pollution. The process of managing air quality can be illustrated as a cycle of inter-related elements.



Source: PIB

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