Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1080/20442041.2018.1482153 http://hdl.handle.net/11449/188419 |
Resumo: | Dissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms. |
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Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed imagesalgal bloomeutrophicationinland waterland use and land cover (LULC)sewage pollutionDissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms.Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)São Paulo State University (UNESP) Department of Cartography–Presidente Prudente (SP)National Institute of Scientific Research (INRS) Research Centre on Water Earth and the Environment–Québec (QC)São Paulo State University (UNESP) Department of Environmental Engineering–São José dos Campos (SP)Indiana University–Purdue University Indianapolis (IUPUI) Department of Earth Sciences–Indianapolis (IN)São Paulo State University (UNESP) Department of Cartography–Presidente Prudente (SP)São Paulo State University (UNESP) Department of Environmental Engineering–São José dos Campos (SP)FAPESP: 15/21586-9FAPESP: 2011/19523-8CNPq: 301365/2015-6Universidade Estadual Paulista (Unesp)and the Environment–Québec (QC)Indiana University–Purdue University Indianapolis (IUPUI)Martins, Sarah [UNESP]Chokmani, KaremAlcântara, Enner [UNESP]Ogashawara, IgorEl-Alem, Anas2019-10-06T16:07:29Z2019-10-06T16:07:29Z2018-10-02info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article488-504http://dx.doi.org/10.1080/20442041.2018.1482153Inland Waters, v. 8, n. 4, p. 488-504, 2018.2044-205X2044-2041http://hdl.handle.net/11449/18841910.1080/20442041.2018.14821532-s2.0-85057299934Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengInland Watersinfo:eu-repo/semantics/openAccess2024-06-18T15:01:52Zoai:repositorio.unesp.br:11449/188419Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-06-18T15:01:52Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
title |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
spellingShingle |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images Martins, Sarah [UNESP] algal bloom eutrophication inland water land use and land cover (LULC) sewage pollution |
title_short |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
title_full |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
title_fullStr |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
title_full_unstemmed |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
title_sort |
Mapping the coloured dissolved organic matter absorption coefficient in a eutrophic reservoir using remotely sensed images |
author |
Martins, Sarah [UNESP] |
author_facet |
Martins, Sarah [UNESP] Chokmani, Karem Alcântara, Enner [UNESP] Ogashawara, Igor El-Alem, Anas |
author_role |
author |
author2 |
Chokmani, Karem Alcântara, Enner [UNESP] Ogashawara, Igor El-Alem, Anas |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (Unesp) and the Environment–Québec (QC) Indiana University–Purdue University Indianapolis (IUPUI) |
dc.contributor.author.fl_str_mv |
Martins, Sarah [UNESP] Chokmani, Karem Alcântara, Enner [UNESP] Ogashawara, Igor El-Alem, Anas |
dc.subject.por.fl_str_mv |
algal bloom eutrophication inland water land use and land cover (LULC) sewage pollution |
topic |
algal bloom eutrophication inland water land use and land cover (LULC) sewage pollution |
description |
Dissolved organic matter (DOM) has 3 major sources: (1) autochthonous or surface water-derived of algal origin, (2) allochthonous or terrestrial material from soils, and (3) synthetic organic substances of man-made or industrial origin. Thus, its correlation with dissolved organic carbon (DOC) or chlorophyll a (Chl-a) depends on environmental dynamics and their related changes. Because coloured dissolved organic matter (CDOM) is the coloured fraction of DOM, historical measurements of DOM may be used as a suitable proxy for CDOM. In this research we (1) evaluated the performance of a set of bio-optical models, including empirical models and a quasi-analytical algorithm (QAA), by using simulated reflectance data based on the Thematic Mapper sensor parameters (TM); and (2) analyzed the possible sources of CDOM/DOM in a tropical eutrophic reservoir for a 15-year TM/Landsat-5 time series. Results showed that the literature-based models failed to retrieve the CDOM absorption coefficient (aCDOM) from simulated reflectance data. After correlation and collinearity analyses (2D colour correlation plot), an alternative wavelength (485 nm) and band ratio (B4/B1) gave the best relation to aCDOM. The proposed model had satisfactory performance (R2 = 0.91, p < 0.0001, RMSE = 7%, Nash-Sutcliffe = 0.91). Two significantly different aCDOM patterns were identified for the Funil hydroelectric reservoir (Brazil): one associated with land cover land use and rainfall/runoff occurrence and the other with elevated Chl-a associated with algal blooms. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-02 2019-10-06T16:07:29Z 2019-10-06T16:07:29Z |
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/10.1080/20442041.2018.1482153 Inland Waters, v. 8, n. 4, p. 488-504, 2018. 2044-205X 2044-2041 http://hdl.handle.net/11449/188419 10.1080/20442041.2018.1482153 2-s2.0-85057299934 |
url |
http://dx.doi.org/10.1080/20442041.2018.1482153 http://hdl.handle.net/11449/188419 |
identifier_str_mv |
Inland Waters, v. 8, n. 4, p. 488-504, 2018. 2044-205X 2044-2041 10.1080/20442041.2018.1482153 2-s2.0-85057299934 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Inland Waters |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
488-504 |
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 |
|
_version_ |
1803045482704928768 |