Computational tools for understanding air pollution

Rishiraj Adhikary, Nipun Batra
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引用次数: 4

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.
了解空气污染的计算工具
环境细颗粒物(PM2.5)是导致过早死亡的最重要危险因素,可使出生时预期寿命缩短1.5至1.9年[2]。世界上91%的人口生活在空气污染超过安全限度的地区。在印度、巴基斯坦、尼泊尔和孟加拉国等国,99%的人都经历过PM2.5超过75至100 μg/m3的环境暴露[3]。我的博士论文将是关于利用社交媒体数据了解人们对空气污染的看法。我还打算开发一种可穿戴的空气污染暴露监测仪,并设计一种空气污染可视化工具,以减少空气污染研究的进入壁垒。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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