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  4. Computational tools for understanding air pollution
 
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Computational tools for understanding air pollution

Source
Ubicomp Iswc 2020 Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
Date Issued
2020-09-10
Author(s)
Adhikary, Rishiraj
Batra, Nipun  
DOI
10.1145/3410530.3414327
Abstract
Ambient fine particulate (PM2.5) is the most significant risk factor for premature death, shortening life expectancy at birth by 1.5 to 1.9 years [2]. 91% of the world's population lives in areas where air pollution exceeds safety limits1. 99% of the people in countries like India, Pakistan, Nepal, and Bangladesh experience ambient exposures of PM2.5 exceeding 75 µg/m3 to 100 µg/m3 [3]. My Ph.D. thesis will be on understanding the perception of air pollution among people using social media data. I also intend to develop a wearable air pollution exposure monitor and design an air pollution visualisation tool to reduce the entry barrier for air pollution research.
Unpaywall
URI
https://d8.irins.org/handle/IITG2025/24005
Subjects
air pollution perception | air pollution wearable | social media | visualisation
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