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1.
Bull Environ Contam Toxicol ; 110(1): 7, 2022 Dec 13.
Artigo em Inglês | MEDLINE | ID: mdl-36512073

RESUMO

Presence of suspended particulate matter (SPM) in a waterbody or a river can be caused by multiple parameters such as other pollutants by the discharge of poorly maintained sewage, siltation, sedimentation, flood and even bacteria. In this study, remote sensing techniques were used to understand the effects of pandemic-induced lockdown on the SPM concentration in the lower Tapi reservoir or Ukai reservoir. The estimation was done using Landsat-8 OLI (Operational Land Imager) having radiometric resolution (12-bit) and a spatial resolution of 30 m. The Google Earth Engine (GEE) cloud computing platform was used in this study to generate the products. The GEE is a semi-automated workflow system using a robust approach designed for scientific analysis and visualization of geospatial datasets. An algorithm was deployed, and a time-series (2013-2020) analysis was done for the study area. It was found that the average mean value of SPM in Tapi River during 2020 is lowest than the last seven years at the same time.


Assuntos
COVID-19 , Material Particulado , Humanos , Material Particulado/análise , Computação em Nuvem , Ferramenta de Busca , Controle de Doenças Transmissíveis
2.
Bull Environ Contam Toxicol ; 105(2): 198-204, 2020 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-32671411

RESUMO

The corona virus-2019 (COVID-19) is ravaging the whole world. Scientists have been trying to acquire more knowledge on different aspects of COVID-19. This study attempts to determine the effects of COVID-19, on a large population, which has already been persistently exposed to various atmospheric pollutants in different parts of India. Atmospheric pollutants and COVID-19 data, obtained from online resources, were used in this study. This study has shown strong positive correlation between the concentration of atmospheric nitrogen dioxide (NO2) and both the absolute number of COVID-19 deaths (r = 0.79, p < 0.05) and case fatality rate (r = 0.74, p < 0.05) in India. Statistical analysis of the amount of annual fossil fuels consumption in transportation, and the annual average concentration of the atmospheric PM2.5, PM10, NO2, in the different states of India, suggest that one of the main sources of atmospheric NO2 is from fossil fuels combustion in transportation. It is suggested that homeless, poverty-stricken Indians, hawkers, roadside vendors, and many others who are regularly exposed to vehicular exhaust, may be at a higher risk in the COVID-19 pandemic.


Assuntos
Poluentes Atmosféricos/análise , Infecções por Coronavirus/epidemiologia , Dióxido de Nitrogênio/análise , Pneumonia Viral/epidemiologia , Emissões de Veículos/análise , Poluição do Ar/análise , COVID-19 , Infecções por Coronavirus/mortalidade , Humanos , Índia/epidemiologia , Pandemias , Material Particulado/análise , Pneumonia Viral/mortalidade
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