HAIDER, MISHA (2021) Investigating the representativeness of air pollution observational network in Northern Plains, China and Indo-Gangetic Plains, India. Bachelor thesis, Global Responsibility & Leadership (GRL).
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Abstract
One of the most severe problems the world is facing today is air pollution. In 2019, the two nations accounted for 58 percent of all fatalities globally attributable to PM2.5 pollution. When air pollution accumulates in high enough concentrations, it can be harmful to us. There are millions of people around the world that reside in regions where particle pollution, urban smog, and hazardous chemicals pose severe health risks. To combat the frightening number caused by air pollution and take action to clean up the world, it is essential to get a grasp on what components are involved, where this pollution has the highest concentration, how this occurs, and what can be done to neutralize it. To do so, extensive air monitoring on a national and worldwide scale is vital. One of these pollutants is PM2.5 which shall be the main area of focus in the paper, that shall be examining the Northern Plains of China and Indo-Gangetic Plains of India to provide a comparison between how both the countries are performing in their respective attempt to curb PM2.5 emissions. According to the State of Global Air 2020 report, India had the world's highest annual average concentration of PM 2.5 exposure in its air in 2019, extending a decade of rising trend of the common air pollutant that has started to emerge as a respiratory health risk in the Capital and other cities. China recorded 1.42 million premature deaths due to PM 2.5 exposure in 2019, compared to 980,000 in India. The paper aims to see how the location of the air quality stations might bias policy formation and the lives of people positively or negatively supported by data obtained through these stations. At present, there is a saturated amount of literature present that has been published on the topic of air pollution. This literature explored in the paper also dives into the PM 2.5 matter. The hypothesis being made in the paper is that the distribution of air quality stations is not evenly spread out, leading to receiving skewed information which consequently results in biased policies.
Item Type: | Thesis (Bachelor) |
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Name supervisor: | Ansari, T.U. |
Date Deposited: | 20 Apr 2022 12:18 |
Last Modified: | 20 Apr 2022 12:18 |
URI: | https://campus-fryslan.studenttheses.ub.rug.nl/id/eprint/109 |
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