Talk:Sachchida Nand Tripathi

Large Scale Sensor based AQ measurements

The Ambient Air Quality Monitoring of Rural Areas using Indigenous Technology (AMRIT) is a flagship project of Center of Excellence on Advanced Technologies for Monitoring Air-quality iNdicators (ATMAN) that will deploy a dense Sensor Ambient Air Quality Monitor (SAAQM) network with 1,400 nodes across rural areas in the states of Bihar and Uttar Pradesh. This initiative is the first of its kind to monitor air quality comprehensively in these regions, where data has been limited to cities and towns. The CoE team will be working with the State Pollution Control Board of Bihar and Department of Environment, Forests & Climate Change, Government of Uttar Pradesh on AMRIT to enhance air quality action in these states.

The PM2.5 Prediction and Airshed Management is a project that utilizes micro-satellite imagery, sensor-based ambient air quality networks, and machine learning to predict PM2.5 levels at finer resolutions. Additionally, the CoE is developing an airshed approach to address air pollution on a larger scale with data-driven policy decisions.

The CoE is at the forefront of indigenous air quality sensor fabrication, combining it with artificial intelligence and machine learning models to ensure precise and reliable results. The technology's optimization involves careful sensor placement to maximize overall citizen satisfaction with air quality information available to the public. Shilpaiitk (talk) 05:58, 8 January 2024 (UTC)