Establishing a link between fine particulate matter (PM2.5) zones and COVID -19 over India based on anthropogenic emission sources and air quality data
| Autor: | V. Vinoj, Suvarna Tikle, Poonam Mangaraj, S.K. Sahu, Bhishma Tyagi, Gufran Beig |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Pollution
Atmospheric Science Emission inventory 010504 meteorology & atmospheric sciences Coronavirus disease 2019 (COVID-19) Fine particulate media_common.quotation_subject Geography Planning and Development PM2.5 010501 environmental sciences Environmental Science (miscellaneous) 01 natural sciences Anthropogenic Article Environmental protection Air quality index 0105 earth and related environmental sciences media_common business.industry Fossil fuel COVID-19 Fossil fuel emissions Urban Studies Air quality Environmental science business |
| Zdroj: | Urban Climate |
| ISSN: | 2212-0955 |
| Popis: | The spread of coronavirus disease of 2019 (COVID-19) pandemic around the globe is affecting people. The majority of Indian urban complexes are reeling under high emissions of deadly fine particulate matter PM2.5 and resulting in poor air quality. These fine particles penetrate deep into the body and fuel inflammation in the lungs and respiratory tract, leading to the risk of having cardiovascular and respiratory problems, including a weak immune system. In the present study, we report the first national-scale study over India, which establishes a strong relationship between the PM2.5 emission load and COVID-19 infections and resulting deaths. We find a significant correlation (R2 = 0.66 & 0.60) between the states as well as districts having varied levels of PM2.5 emissions with corresponding COVID-19 positive cases respectively, and R2 = 0.61 between wavering air quality on a longer time scale and the number of COVID-19 related deaths till 5 November 2020. This study provides practical evidence that cities having pollution hotspot where fossil fuel emissions are dominating are highly susceptible to COVID-19 cases. Graphical abstract Unlabelled Image |
| Databáze: | OpenAIRE |
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