Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown

Detalhes bibliográficos
Autor(a) principal: Contador, Thaís Miike [UNESP]
Data de Publicação: 2021
Outros Autores: Alcântara, Enner [UNESP], Rodrigues, Thanan, Park, Edward
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.rsase.2021.100511
http://hdl.handle.net/11449/206208
Resumo: As of October 8th, 2020, the number of confirmed cases and deaths in Brazil due to COVID-19 hit 5,002,357 and 148,304, respectively, making the country one of the most affected by the pandemic. The State of São Paulo (SSP) hosts the largest number of confirmed cases in Brazil, with over 1,016,755 cases to date. This study was carried out to investigate how the social distancing measures could have influenced the Ibitinga reservoir's water transparency in São Paulo State, Brazil. We hypothesize that although the city's drainage is the major reservoir's input, as opposed to what has been reported elsewhere, the effect of extensive lockdown in the city of São Paulo due to COVID-19 is marginal on the water transparency. A time series of OLI/Landsat-8 images since 2014 were used to estimate the Secchi Disk Depth (ZSD). The COVID-19 cases and deaths (per 100,000 inhabitants), and social isolation index were used to find links between the ZSD and COVID-19. The results showed that the highest ZDS (higher than 1.6 m) occurred during the dry season (Austral autumn and beginning of Austral winter) and the lowest (0.4–0.8 m) during March 2020 (end of Austral summer). Paired sample t-Tests between images of 2020 and all the others showed that April 20th values were not different from that of June 14th, April 17th and March 18th. ZSD values from May 20th were not statistically different from May 14th and April 15th; June 20th values were not different from June 14th; and March 20th values were statistically different from all. We therefore conclude that, based on satellite data, the lockdown in SSP unlikely have influenced the water transparency in the Ibitinga reservoir.
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spelling Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdownLockdownOLI/Landsat-8SARS-CoV-2 pandemicWater transparencyAs of October 8th, 2020, the number of confirmed cases and deaths in Brazil due to COVID-19 hit 5,002,357 and 148,304, respectively, making the country one of the most affected by the pandemic. The State of São Paulo (SSP) hosts the largest number of confirmed cases in Brazil, with over 1,016,755 cases to date. This study was carried out to investigate how the social distancing measures could have influenced the Ibitinga reservoir's water transparency in São Paulo State, Brazil. We hypothesize that although the city's drainage is the major reservoir's input, as opposed to what has been reported elsewhere, the effect of extensive lockdown in the city of São Paulo due to COVID-19 is marginal on the water transparency. A time series of OLI/Landsat-8 images since 2014 were used to estimate the Secchi Disk Depth (ZSD). The COVID-19 cases and deaths (per 100,000 inhabitants), and social isolation index were used to find links between the ZSD and COVID-19. The results showed that the highest ZDS (higher than 1.6 m) occurred during the dry season (Austral autumn and beginning of Austral winter) and the lowest (0.4–0.8 m) during March 2020 (end of Austral summer). Paired sample t-Tests between images of 2020 and all the others showed that April 20th values were not different from that of June 14th, April 17th and March 18th. ZSD values from May 20th were not statistically different from May 14th and April 15th; June 20th values were not different from June 14th; and March 20th values were statistically different from all. We therefore conclude that, based on satellite data, the lockdown in SSP unlikely have influenced the water transparency in the Ibitinga reservoir.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)ASCRS Research FoundationSão Paulo State University – Unesp Department of Environmental EngineeringFederal Institute of Education Science and Technology of Pará StateNational Institute of Education and Asian School of the Environment Nanyang Technological UniversitySão Paulo State University – Unesp Department of Environmental EngineeringUniversidade Estadual Paulista (Unesp)Science and Technology of Pará StateNanyang Technological UniversityContador, Thaís Miike [UNESP]Alcântara, Enner [UNESP]Rodrigues, ThananPark, Edward2021-06-25T10:28:20Z2021-06-25T10:28:20Z2021-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1016/j.rsase.2021.100511Remote Sensing Applications: Society and Environment, v. 22.2352-9385http://hdl.handle.net/11449/20620810.1016/j.rsase.2021.1005112-s2.0-85104339982Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRemote Sensing Applications: Society and Environmentinfo:eu-repo/semantics/openAccess2021-10-22T22:23:46Zoai:repositorio.unesp.br:11449/206208Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:16:12.826530Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
title Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
spellingShingle Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
Contador, Thaís Miike [UNESP]
Lockdown
OLI/Landsat-8
SARS-CoV-2 pandemic
Water transparency
title_short Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
title_full Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
title_fullStr Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
title_full_unstemmed Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
title_sort Remote sensing of water transparency variability in the Ibitinga reservoir during COVID-19 lockdown
author Contador, Thaís Miike [UNESP]
author_facet Contador, Thaís Miike [UNESP]
Alcântara, Enner [UNESP]
Rodrigues, Thanan
Park, Edward
author_role author
author2 Alcântara, Enner [UNESP]
Rodrigues, Thanan
Park, Edward
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Science and Technology of Pará State
Nanyang Technological University
dc.contributor.author.fl_str_mv Contador, Thaís Miike [UNESP]
Alcântara, Enner [UNESP]
Rodrigues, Thanan
Park, Edward
dc.subject.por.fl_str_mv Lockdown
OLI/Landsat-8
SARS-CoV-2 pandemic
Water transparency
topic Lockdown
OLI/Landsat-8
SARS-CoV-2 pandemic
Water transparency
description As of October 8th, 2020, the number of confirmed cases and deaths in Brazil due to COVID-19 hit 5,002,357 and 148,304, respectively, making the country one of the most affected by the pandemic. The State of São Paulo (SSP) hosts the largest number of confirmed cases in Brazil, with over 1,016,755 cases to date. This study was carried out to investigate how the social distancing measures could have influenced the Ibitinga reservoir's water transparency in São Paulo State, Brazil. We hypothesize that although the city's drainage is the major reservoir's input, as opposed to what has been reported elsewhere, the effect of extensive lockdown in the city of São Paulo due to COVID-19 is marginal on the water transparency. A time series of OLI/Landsat-8 images since 2014 were used to estimate the Secchi Disk Depth (ZSD). The COVID-19 cases and deaths (per 100,000 inhabitants), and social isolation index were used to find links between the ZSD and COVID-19. The results showed that the highest ZDS (higher than 1.6 m) occurred during the dry season (Austral autumn and beginning of Austral winter) and the lowest (0.4–0.8 m) during March 2020 (end of Austral summer). Paired sample t-Tests between images of 2020 and all the others showed that April 20th values were not different from that of June 14th, April 17th and March 18th. ZSD values from May 20th were not statistically different from May 14th and April 15th; June 20th values were not different from June 14th; and March 20th values were statistically different from all. We therefore conclude that, based on satellite data, the lockdown in SSP unlikely have influenced the water transparency in the Ibitinga reservoir.
publishDate 2021
dc.date.none.fl_str_mv 2021-06-25T10:28:20Z
2021-06-25T10:28:20Z
2021-04-01
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.rsase.2021.100511
Remote Sensing Applications: Society and Environment, v. 22.
2352-9385
http://hdl.handle.net/11449/206208
10.1016/j.rsase.2021.100511
2-s2.0-85104339982
url http://dx.doi.org/10.1016/j.rsase.2021.100511
http://hdl.handle.net/11449/206208
identifier_str_mv Remote Sensing Applications: Society and Environment, v. 22.
2352-9385
10.1016/j.rsase.2021.100511
2-s2.0-85104339982
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Remote Sensing Applications: Society and Environment
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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