Research

Earth, Atmosphere & Environment Sciences

Title :

Fine-grained air quality exposure modeling and forecasting using machine learning.

Area of research :

Earth, Atmosphere & Environment Sciences

Focus area :

Atmospheric Science

Principal Investigator :

PI: Dr. Nipun Batra, Computer Science and Engineering, Indian Institute of Technology GandhinagarPalaj, Gandhinagar - 382055, Gujarat

Timeline Start Year :

2023

Details

Executive Summary :

Development of novel machine learning algorithms for leveraging various grades of air quality sensors (with different noise assumptions) and accurately inferring a spatially fine-grained air quality map of a megacity is attempted. Implementation of novel fusion techniques to leverage multi-modal data from sources including, but not limited to: satellite retrievals, traffic data, high-resolution (spatial and temporal) meteorological data, population density, geophysical variables (e.g. distance to road, land use pattern, non-vehicle point sources, etc. Implementation of data-driven air quality forecasting models leveraging various meteorological data, and advances in machine learning

Co-PI:

Dr. Udit Bhatia, Discipline of Civil Engineering, Indian Institute of Technology GandhinagarPalaj, Gandhinagar - 382055, Gujarat, Dr. SagnikDey, Centre for Atmospheric Sciences, Indian Institute of Technology Delhi, HauzKhas, New Delhi-110016 , Dr. RijurekhaSen, Indian Institute of Technology Delhi, HauzKhas, New Delhi-110016

Total Budget (INR):

61,40,960

Organizations involved