Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital Article Swipe

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Gufran Beig , K.S. Jayachandran , Mohan P. George , Aditi Rathod , S.B. Sobhana , Saroj Kumar Sahu , R. Shinde , V. Jindal ·

YOU? · · 2022 · Open Access · · DOI: https://doi.org/10.1016/j.chemosphere.2022.134271

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Environmental Science

Infectious Diseases (Medical Specialty)

Concepts

Environmental science Pollution Meteorology Air quality index Outbreak Air pollution Coronavirus disease 2019 (COVID-19) Geography Virology Ecology Medicine Infectious disease (medical specialty) Organic chemistry Chemistry Disease Biology Pathology

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.chemosphere.2022.134271
PDF: https://ars.els-cdn.com/content/image/1-s2.0-S0045653522007640-ga1_lrg.jpg
OA Status: bronze
Cited By: 2
References: 28
Related Works: 10
OpenAlex ID: https://openalex.org/W4220659104

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OpenAlex ID: https://openalex.org/W4220659104

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DOI: https://doi.org/10.1016/j.chemosphere.2022.134271

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Title: Process-based diagnostics of extreme pollution trail using numerical modelling during fatal second COVID-19 wave in the Indian capital

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Type: article

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Language: en

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Publication year: 2022

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Publication date: 2022-03-08

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Authors: Gufran Beig, K.S. Jayachandran, Mohan P. George, Aditi Rathod, S.B. Sobhana, Saroj Kumar Sahu, R. Shinde, V. Jindal

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Landing page: https://doi.org/10.1016/j.chemosphere.2022.134271

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OA status: bronze

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Concepts: Environmental science, Pollution, Meteorology, Air quality index, Outbreak, Air pollution, Coronavirus disease 2019 (COVID-19), Geography, Virology, Ecology, Medicine, Infectious disease (medical specialty), Organic chemistry, Chemistry, Disease, Biology, Pathology

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Cited by: 2

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References (count): 28

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Related works (count): 10

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