Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015)
Autor(a) principal: | |
---|---|
Data de Publicação: | 2018 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional do INPA |
Texto Completo: | https://repositorio.inpa.gov.br/handle/1/15687 |
Resumo: | The Purus River is one of the major tributaries of Solimões River in Brazil, draining an area of 370,091 km2 and stretching over 2765 km. Unlike those of the other main tributaries of the Amazon River, the Purus River's sediment discharge is poorly characterized. In this study, as an alternative to the logistic difficulties and considering high monitoring costs, we report an experiment where field measurement data and 2700 satellite (MODIS) images are combined to retrieve both seasonal and interannual dynamics in terms of the Purus river sediment discharge near its confluence with the Solimões River. Field radiometric and hydrologic measurements were acquired during 18 sampling trips, including 115 surface water samples and 61 river discharge measurements. Remote sensing reflectance gave important results in the red and infrared levels. They were very well correlated with suspended sediment concentration. The values of R2 are greater than 0.8 (red band) and 0.9 (NIR band). A retrieval algorithm based on the reflectance in both the red and the infrared was calibrated using the water samples collected for the determination of the surface-suspended sediment concentration (SSS). The algorithm was used to calculate 16 years of SSS time series with MODIS images at the Purus River near its confluence with the Solimões River. Results from satellite data correlated with in situ SSS values validate the use of satellite data to be used as a tool to monitor SSS in the Purus River. We evidenced a very short and intense sediment discharge pulse with 55% of the annual sediment budget discharged during the months of January and February. Using river discharge records, we calculated the mean annual sediment discharge of the Purus River at about of 17 Mt·yr−1. © 2017 Académie des sciences |
id |
INPA-2_aa4c6a17cca1a39a6606ee67e1a4483c |
---|---|
oai_identifier_str |
oai:repositorio:1/15687 |
network_acronym_str |
INPA-2 |
network_name_str |
Repositório Institucional do INPA |
repository_id_str |
|
spelling |
Santos, Andre Luis Martinelli Real dosMartinez, Jean MichelFilizola, Naziano PantojaArmijos, E.Alves, Luna Gripp Simões2020-05-18T14:33:53Z2020-05-18T14:33:53Z2018https://repositorio.inpa.gov.br/handle/1/1568710.1016/j.crte.2017.05.004The Purus River is one of the major tributaries of Solimões River in Brazil, draining an area of 370,091 km2 and stretching over 2765 km. Unlike those of the other main tributaries of the Amazon River, the Purus River's sediment discharge is poorly characterized. In this study, as an alternative to the logistic difficulties and considering high monitoring costs, we report an experiment where field measurement data and 2700 satellite (MODIS) images are combined to retrieve both seasonal and interannual dynamics in terms of the Purus river sediment discharge near its confluence with the Solimões River. Field radiometric and hydrologic measurements were acquired during 18 sampling trips, including 115 surface water samples and 61 river discharge measurements. Remote sensing reflectance gave important results in the red and infrared levels. They were very well correlated with suspended sediment concentration. The values of R2 are greater than 0.8 (red band) and 0.9 (NIR band). A retrieval algorithm based on the reflectance in both the red and the infrared was calibrated using the water samples collected for the determination of the surface-suspended sediment concentration (SSS). The algorithm was used to calculate 16 years of SSS time series with MODIS images at the Purus River near its confluence with the Solimões River. Results from satellite data correlated with in situ SSS values validate the use of satellite data to be used as a tool to monitor SSS in the Purus River. We evidenced a very short and intense sediment discharge pulse with 55% of the annual sediment budget discharged during the months of January and February. Using river discharge records, we calculated the mean annual sediment discharge of the Purus River at about of 17 Mt·yr−1. © 2017 Académie des sciencesVolume 350, Número 1-2, Pags. 13-19Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessFluvial DepositHydrologyModisRemote SensingRiver DischargeSatellite DataSatellite ImagerySuspended SedimentAmazon RiverPurus RiverPurus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015)info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleComptes Rendus - Geoscienceengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf1221316https://repositorio.inpa.gov.br/bitstream/1/15687/1/artigo-inpa.pdfe78095fa88dbaa59de99244c77d61a42MD511/156872020-05-18 11:02:23.298oai:repositorio:1/15687Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-05-18T15:02:23Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false |
dc.title.en.fl_str_mv |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
title |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
spellingShingle |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) Santos, Andre Luis Martinelli Real dos Fluvial Deposit Hydrology Modis Remote Sensing River Discharge Satellite Data Satellite Imagery Suspended Sediment Amazon River Purus River |
title_short |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
title_full |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
title_fullStr |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
title_full_unstemmed |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
title_sort |
Purus River suspended sediment variability and contributions to the Amazon River from satellite data (2000–2015) |
author |
Santos, Andre Luis Martinelli Real dos |
author_facet |
Santos, Andre Luis Martinelli Real dos Martinez, Jean Michel Filizola, Naziano Pantoja Armijos, E. Alves, Luna Gripp Simões |
author_role |
author |
author2 |
Martinez, Jean Michel Filizola, Naziano Pantoja Armijos, E. Alves, Luna Gripp Simões |
author2_role |
author author author author |
dc.contributor.author.fl_str_mv |
Santos, Andre Luis Martinelli Real dos Martinez, Jean Michel Filizola, Naziano Pantoja Armijos, E. Alves, Luna Gripp Simões |
dc.subject.eng.fl_str_mv |
Fluvial Deposit Hydrology Modis Remote Sensing River Discharge Satellite Data Satellite Imagery Suspended Sediment Amazon River Purus River |
topic |
Fluvial Deposit Hydrology Modis Remote Sensing River Discharge Satellite Data Satellite Imagery Suspended Sediment Amazon River Purus River |
description |
The Purus River is one of the major tributaries of Solimões River in Brazil, draining an area of 370,091 km2 and stretching over 2765 km. Unlike those of the other main tributaries of the Amazon River, the Purus River's sediment discharge is poorly characterized. In this study, as an alternative to the logistic difficulties and considering high monitoring costs, we report an experiment where field measurement data and 2700 satellite (MODIS) images are combined to retrieve both seasonal and interannual dynamics in terms of the Purus river sediment discharge near its confluence with the Solimões River. Field radiometric and hydrologic measurements were acquired during 18 sampling trips, including 115 surface water samples and 61 river discharge measurements. Remote sensing reflectance gave important results in the red and infrared levels. They were very well correlated with suspended sediment concentration. The values of R2 are greater than 0.8 (red band) and 0.9 (NIR band). A retrieval algorithm based on the reflectance in both the red and the infrared was calibrated using the water samples collected for the determination of the surface-suspended sediment concentration (SSS). The algorithm was used to calculate 16 years of SSS time series with MODIS images at the Purus River near its confluence with the Solimões River. Results from satellite data correlated with in situ SSS values validate the use of satellite data to be used as a tool to monitor SSS in the Purus River. We evidenced a very short and intense sediment discharge pulse with 55% of the annual sediment budget discharged during the months of January and February. Using river discharge records, we calculated the mean annual sediment discharge of the Purus River at about of 17 Mt·yr−1. © 2017 Académie des sciences |
publishDate |
2018 |
dc.date.issued.fl_str_mv |
2018 |
dc.date.accessioned.fl_str_mv |
2020-05-18T14:33:53Z |
dc.date.available.fl_str_mv |
2020-05-18T14:33:53Z |
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 |
https://repositorio.inpa.gov.br/handle/1/15687 |
dc.identifier.doi.none.fl_str_mv |
10.1016/j.crte.2017.05.004 |
url |
https://repositorio.inpa.gov.br/handle/1/15687 |
identifier_str_mv |
10.1016/j.crte.2017.05.004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.ispartof.pt_BR.fl_str_mv |
Volume 350, Número 1-2, Pags. 13-19 |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-NoDerivs 3.0 Brazil http://creativecommons.org/licenses/by-nc-nd/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Comptes Rendus - Geoscience |
publisher.none.fl_str_mv |
Comptes Rendus - Geoscience |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional do INPA instname:Instituto Nacional de Pesquisas da Amazônia (INPA) instacron:INPA |
instname_str |
Instituto Nacional de Pesquisas da Amazônia (INPA) |
instacron_str |
INPA |
institution |
INPA |
reponame_str |
Repositório Institucional do INPA |
collection |
Repositório Institucional do INPA |
bitstream.url.fl_str_mv |
https://repositorio.inpa.gov.br/bitstream/1/15687/1/artigo-inpa.pdf |
bitstream.checksum.fl_str_mv |
e78095fa88dbaa59de99244c77d61a42 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 |
repository.name.fl_str_mv |
Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA) |
repository.mail.fl_str_mv |
|
_version_ |
1809928889837813760 |