Online training course Addressing air quality data analytics and pollution source assessment for better air quality management

Air quality monitoring, data generation and analytics are critical steps for better air quality management in urban centres. Air quality data analysis, pollution source assessment complemented by public health linkages provide crucial evidence in understanding and identifying key air pollutants, their contribution to hotspot area identification and assessmentand formulating source-specific intervention strategies for air pollution mitigation. 

New approaches and techniques such as advanced instrumentations, real-time monitoring, low-cost and cost-effective monitoring and methods, satellite-based air quality monitoring, real-time source apportionment and integrated and dynamic emission inventory are emerging globally. 

This online training course represents our initiative to promote good regulatory practices, enhance knowledge and build capacity on understanding air quality monitoring data analytics and pollution source assessment and deepen understanding within the larger context of air pollution mitigation. 

This course is designed for a diverse set of stakeholders includinggovernment officials, practitioners, professionals, consultants, academics, researchers, students etc to understand and build knowledge and insights into the imperative of air quality data and analytics and its linkages to strategies and interventions within the air quality management perspective.  

Course structure

This online training course will be conducted on the Moodle and Zoom platforms through a variety of tools such as recorded video lectures, classroom exercises, reading materials and resources, audio/visual methods including short films and interviews, and interactions with key experts. The programme will cover the following:

• Module 1: Understanding air quality data for better air quality management
• Module 2: Strengtheningair quality monitoring
• Module 3: Understanding air quality index and health implications
• Module 4: Air quality data analytics
• Module 5: New air quality monitoring and assessment approaches including satellite-based monitoring, remote sensing
• Module 6: Understanding air pollution sources, source apportionment, dynamic and integrated emission inventory
• Module 7: Air quality forecasting
• Module 8:Advance data analysis technique using AI 

The self-paced training has been designed in such a way that it can be completed along with a regular job or study 

Learning outcomes

1. Fundamentals of air quality data availability, analysis and significance
2. Data and policy correlation
3. Understanding source apportionment and emission inventory
4. Sourcing air quality related satellite data, analysis and interpretation
5. Remote sensing techniques in air quality monitoring, research and long-range transport analysis
6. Advanced analysis techniques using programming language and AI 

For more information, please contact 

Shubhansh Tiwari
Mobile: +91-8448337484
Email: shubhansh.tiwari@cseindia.org 

Priyanka Chandola
Mobile: +91 – 9810414938
Email: priyanka@cseindia.org