Inferring floodplain bathymetry using inundation frequency
Autor(a) principal: | |
---|---|
Data de Publicação: | 2020 |
Outros Autores: | , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.jenvman.2020.111138 http://hdl.handle.net/11449/208824 |
Resumo: | This study proposes a new method to retrieve the bathymetry of turbid-water floodplains from the inundation frequency (IF) data derived from over 32 years of composite optical remote sensing data. The new method was tested and validated over the Curuai floodplain in the lower Amazon River, where the entire bathymetry was surveyed in 2004, and water level gauge data has been available since 1960. The depth was estimated based on the relationship derived from IF and surveyed depth data, and the results were compared to those retrieved from bare-Earth DEM. We further assessed the sensitivity of the approach by analyzing the deepest part of the lake (i.e., permanent water body similar to 8m) with high IF, as well as the effect of gradual sedimentation in the lake over time. The results showed that the model is highly accurate and sensitive to IF changes even in the permanent water body areas, suggesting that this model can be used in other seasonal lakes worldwide with turbid-waters, where large-scale bathymetry surveys are not feasible due to high operation costs. |
id |
UNSP_8ffb7d4f8945aceb40c75665c498c3e6 |
---|---|
oai_identifier_str |
oai:repositorio.unesp.br:11449/208824 |
network_acronym_str |
UNSP |
network_name_str |
Repositório Institucional da UNESP |
repository_id_str |
2946 |
spelling |
Inferring floodplain bathymetry using inundation frequencyBathymetryInundation frequencyRemote sensingHydrologyEcologyThis study proposes a new method to retrieve the bathymetry of turbid-water floodplains from the inundation frequency (IF) data derived from over 32 years of composite optical remote sensing data. The new method was tested and validated over the Curuai floodplain in the lower Amazon River, where the entire bathymetry was surveyed in 2004, and water level gauge data has been available since 1960. The depth was estimated based on the relationship derived from IF and surveyed depth data, and the results were compared to those retrieved from bare-Earth DEM. We further assessed the sensitivity of the approach by analyzing the deepest part of the lake (i.e., permanent water body similar to 8m) with high IF, as well as the effect of gradual sedimentation in the lake over time. The results showed that the model is highly accurate and sensitive to IF changes even in the permanent water body areas, suggesting that this model can be used in other seasonal lakes worldwide with turbid-waters, where large-scale bathymetry surveys are not feasible due to high operation costs.National Institute of Education at Nanyang Technological UniversityNanyang Technol Univ, Natl Inst Educ, Singapore, SingaporeNanyang Technol Univ, Asian Sch Environm, Singapore, SingaporeSao Paulo State Univ, Dept Environm Engn, Sao Paulo, BrazilGuangzhou Univ, Sch Geog Sci, Guangzhou, Peoples R ChinaSao Paulo State Univ, Dept Environm Engn, Sao Paulo, BrazilNational Institute of Education at Nanyang Technological University: SUG-NAP (EP 3/19)Elsevier B.V.Nanyang Technol UnivUniversidade Estadual Paulista (Unesp)Guangzhou UnivPark, EdwardEmadzadeh, AdelAlcantara, Enner [UNESP]Yang, XiankunHo, Huu Loc2021-06-25T11:21:37Z2021-06-25T11:21:37Z2020-11-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article8http://dx.doi.org/10.1016/j.jenvman.2020.111138Journal Of Environmental Management. London: Academic Press Ltd- Elsevier Science Ltd, v. 273, 8 p., 2020.0301-4797http://hdl.handle.net/11449/20882410.1016/j.jenvman.2020.111138WOS:000571860800004Web of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal Of Environmental Managementinfo:eu-repo/semantics/openAccess2021-10-23T19:02:32Zoai:repositorio.unesp.br:11449/208824Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:37:30.324598Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Inferring floodplain bathymetry using inundation frequency |
title |
Inferring floodplain bathymetry using inundation frequency |
spellingShingle |
Inferring floodplain bathymetry using inundation frequency Park, Edward Bathymetry Inundation frequency Remote sensing Hydrology Ecology |
title_short |
Inferring floodplain bathymetry using inundation frequency |
title_full |
Inferring floodplain bathymetry using inundation frequency |
title_fullStr |
Inferring floodplain bathymetry using inundation frequency |
title_full_unstemmed |
Inferring floodplain bathymetry using inundation frequency |
title_sort |
Inferring floodplain bathymetry using inundation frequency |
author |
Park, Edward |
author_facet |
Park, Edward Emadzadeh, Adel Alcantara, Enner [UNESP] Yang, Xiankun Ho, Huu Loc |
author_role |
author |
author2 |
Emadzadeh, Adel Alcantara, Enner [UNESP] Yang, Xiankun Ho, Huu Loc |
author2_role |
author author author author |
dc.contributor.none.fl_str_mv |
Nanyang Technol Univ Universidade Estadual Paulista (Unesp) Guangzhou Univ |
dc.contributor.author.fl_str_mv |
Park, Edward Emadzadeh, Adel Alcantara, Enner [UNESP] Yang, Xiankun Ho, Huu Loc |
dc.subject.por.fl_str_mv |
Bathymetry Inundation frequency Remote sensing Hydrology Ecology |
topic |
Bathymetry Inundation frequency Remote sensing Hydrology Ecology |
description |
This study proposes a new method to retrieve the bathymetry of turbid-water floodplains from the inundation frequency (IF) data derived from over 32 years of composite optical remote sensing data. The new method was tested and validated over the Curuai floodplain in the lower Amazon River, where the entire bathymetry was surveyed in 2004, and water level gauge data has been available since 1960. The depth was estimated based on the relationship derived from IF and surveyed depth data, and the results were compared to those retrieved from bare-Earth DEM. We further assessed the sensitivity of the approach by analyzing the deepest part of the lake (i.e., permanent water body similar to 8m) with high IF, as well as the effect of gradual sedimentation in the lake over time. The results showed that the model is highly accurate and sensitive to IF changes even in the permanent water body areas, suggesting that this model can be used in other seasonal lakes worldwide with turbid-waters, where large-scale bathymetry surveys are not feasible due to high operation costs. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-11-01 2021-06-25T11:21:37Z 2021-06-25T11:21:37Z |
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.jenvman.2020.111138 Journal Of Environmental Management. London: Academic Press Ltd- Elsevier Science Ltd, v. 273, 8 p., 2020. 0301-4797 http://hdl.handle.net/11449/208824 10.1016/j.jenvman.2020.111138 WOS:000571860800004 |
url |
http://dx.doi.org/10.1016/j.jenvman.2020.111138 http://hdl.handle.net/11449/208824 |
identifier_str_mv |
Journal Of Environmental Management. London: Academic Press Ltd- Elsevier Science Ltd, v. 273, 8 p., 2020. 0301-4797 10.1016/j.jenvman.2020.111138 WOS:000571860800004 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal Of Environmental Management |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
8 |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science 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_ |
1808129342405869568 |