Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2019 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/30904 |
Resumo: | Flooding is a natural disaster which affects thousands of riverside, coastal, and urban communities causing severe damage. River flood mapping is the process of determining inundation extents and depth by comparing historical river water levels with ground surface elevation references. This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibration digital elevation model (DEM), historic river level data and geoprocessing techniques. The temporal series of maximum annual level records of the Uruguay River, for the years 1942 to 2017, were linked to the Brazilian Geodetic System using geometric leveling and submitted for descriptive statistical analysis and probability. The DEM was calibrated with ground control points (GCPs) of high vertical accuracy based on post-processed high-precision Global Navigation Satellite System surveys. Using the temporal series statistical analysis results, the spatialization of flood hazard classes on the calibrated DEM was assessed and validated. Finally, the modeling of the simulated flood level was visually compared against the flood area on the satellite image, which were both registered on the same date. The free DEM calibration model indicated high correspondence with GCPs (R2=0.81; p<0.001). The calibrated DEM showed a 68.15 % improvement in vertical accuracy (RMSE = 1.00 m). Five classes of flood hazards were determined: extremely high flood hazard, high flood hazard, moderate flood hazard, low flood hazard, and non-floodable. The flood episodes, with a return time of 100 years, were modeled with a 57.24 m altimetric level. Altimetric levels above 51.66 m have a high potential of causing damage, mainly affecting properties and public facilities in the city's northern and western peripheries. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land use planning in areas exposed to flood hazard |
id |
UFRN_a0f9bcb0d0f42719d3b1be4bddae5ae7 |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/30904 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
spelling |
Araújo, Paulo Victor N.Amaro, Venerando EustáquioSilva, Robert M.Lopes, Alexandre B.2020-12-08T13:36:09Z2020-12-08T13:36:09Z2019ARAÚJO, Paulo Victor N.; AMARO, Venerando E.; SILVA, Robert M.; LOPES, Alexandre B.. Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the uruguay river, itaqui, southern Brazil. Natural Hazards and Earth System Sciences, [S.L.], v. 19, n. 1, p. 237-250, 25 jan. 2019.Disponível em: https://nhess.copernicus.org/articles/19/237/2019/. Acesso em: 25 nov. 2020. https://doi.org/10.5194/nhess-19-237-20191561-86331684-9981https://repositorio.ufrn.br/handle/123456789/3090410.5194/nhess-19-237-2019European Geosciences UnionAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessBrazilian Geodetic SystemDigital elevation modelDelimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFlooding is a natural disaster which affects thousands of riverside, coastal, and urban communities causing severe damage. River flood mapping is the process of determining inundation extents and depth by comparing historical river water levels with ground surface elevation references. This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibration digital elevation model (DEM), historic river level data and geoprocessing techniques. The temporal series of maximum annual level records of the Uruguay River, for the years 1942 to 2017, were linked to the Brazilian Geodetic System using geometric leveling and submitted for descriptive statistical analysis and probability. The DEM was calibrated with ground control points (GCPs) of high vertical accuracy based on post-processed high-precision Global Navigation Satellite System surveys. Using the temporal series statistical analysis results, the spatialization of flood hazard classes on the calibrated DEM was assessed and validated. Finally, the modeling of the simulated flood level was visually compared against the flood area on the satellite image, which were both registered on the same date. The free DEM calibration model indicated high correspondence with GCPs (R2=0.81; p<0.001). The calibrated DEM showed a 68.15 % improvement in vertical accuracy (RMSE = 1.00 m). Five classes of flood hazards were determined: extremely high flood hazard, high flood hazard, moderate flood hazard, low flood hazard, and non-floodable. The flood episodes, with a return time of 100 years, were modeled with a 57.24 m altimetric level. Altimetric levels above 51.66 m have a high potential of causing damage, mainly affecting properties and public facilities in the city's northern and western peripheries. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land use planning in areas exposed to flood hazardengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALDelimitationFloodAreas_AMARO_2019.pdfDelimitationFloodAreas_AMARO_2019.pdfapplication/pdf7647917https://repositorio.ufrn.br/bitstream/123456789/30904/1/DelimitationFloodAreas_AMARO_2019.pdf6bcb39761f66c3ada657d30ef0c7c76fMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/30904/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/30904/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTDelimitationFloodAreas_AMARO_2019.pdf.txtDelimitationFloodAreas_AMARO_2019.pdf.txtExtracted texttext/plain60222https://repositorio.ufrn.br/bitstream/123456789/30904/4/DelimitationFloodAreas_AMARO_2019.pdf.txtd387d15472b37f33b2f21cf47049d80eMD54THUMBNAILDelimitationFloodAreas_AMARO_2019.pdf.jpgDelimitationFloodAreas_AMARO_2019.pdf.jpgGenerated Thumbnailimage/jpeg1737https://repositorio.ufrn.br/bitstream/123456789/30904/5/DelimitationFloodAreas_AMARO_2019.pdf.jpg645b3f4105b85a005a22d613d025e717MD55123456789/309042020-12-13 05:01:56.492oai:https://repositorio.ufrn.br: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Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-13T08:01:56Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
title |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
spellingShingle |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil Araújo, Paulo Victor N. Brazilian Geodetic System Digital elevation model |
title_short |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
title_full |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
title_fullStr |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
title_full_unstemmed |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
title_sort |
Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the Uruguay River, Itaqui, southern Brazil |
author |
Araújo, Paulo Victor N. |
author_facet |
Araújo, Paulo Victor N. Amaro, Venerando Eustáquio Silva, Robert M. Lopes, Alexandre B. |
author_role |
author |
author2 |
Amaro, Venerando Eustáquio Silva, Robert M. Lopes, Alexandre B. |
author2_role |
author author author |
dc.contributor.author.fl_str_mv |
Araújo, Paulo Victor N. Amaro, Venerando Eustáquio Silva, Robert M. Lopes, Alexandre B. |
dc.subject.por.fl_str_mv |
Brazilian Geodetic System Digital elevation model |
topic |
Brazilian Geodetic System Digital elevation model |
description |
Flooding is a natural disaster which affects thousands of riverside, coastal, and urban communities causing severe damage. River flood mapping is the process of determining inundation extents and depth by comparing historical river water levels with ground surface elevation references. This paper aims to map flood hazard areas under the influence of the Uruguay River, Itaqui (southern Brazil), using a calibration digital elevation model (DEM), historic river level data and geoprocessing techniques. The temporal series of maximum annual level records of the Uruguay River, for the years 1942 to 2017, were linked to the Brazilian Geodetic System using geometric leveling and submitted for descriptive statistical analysis and probability. The DEM was calibrated with ground control points (GCPs) of high vertical accuracy based on post-processed high-precision Global Navigation Satellite System surveys. Using the temporal series statistical analysis results, the spatialization of flood hazard classes on the calibrated DEM was assessed and validated. Finally, the modeling of the simulated flood level was visually compared against the flood area on the satellite image, which were both registered on the same date. The free DEM calibration model indicated high correspondence with GCPs (R2=0.81; p<0.001). The calibrated DEM showed a 68.15 % improvement in vertical accuracy (RMSE = 1.00 m). Five classes of flood hazards were determined: extremely high flood hazard, high flood hazard, moderate flood hazard, low flood hazard, and non-floodable. The flood episodes, with a return time of 100 years, were modeled with a 57.24 m altimetric level. Altimetric levels above 51.66 m have a high potential of causing damage, mainly affecting properties and public facilities in the city's northern and western peripheries. Assessment of the areas that can potentially be flooded can help to reduce the negative impact of flood events by supporting the process of land use planning in areas exposed to flood hazard |
publishDate |
2019 |
dc.date.issued.fl_str_mv |
2019 |
dc.date.accessioned.fl_str_mv |
2020-12-08T13:36:09Z |
dc.date.available.fl_str_mv |
2020-12-08T13:36:09Z |
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.citation.fl_str_mv |
ARAÚJO, Paulo Victor N.; AMARO, Venerando E.; SILVA, Robert M.; LOPES, Alexandre B.. Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the uruguay river, itaqui, southern Brazil. Natural Hazards and Earth System Sciences, [S.L.], v. 19, n. 1, p. 237-250, 25 jan. 2019.Disponível em: https://nhess.copernicus.org/articles/19/237/2019/. Acesso em: 25 nov. 2020. https://doi.org/10.5194/nhess-19-237-2019 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/30904 |
dc.identifier.issn.none.fl_str_mv |
1561-8633 1684-9981 |
dc.identifier.doi.none.fl_str_mv |
10.5194/nhess-19-237-2019 |
identifier_str_mv |
ARAÚJO, Paulo Victor N.; AMARO, Venerando E.; SILVA, Robert M.; LOPES, Alexandre B.. Delimitation of flood areas based on a calibrated a DEM and geoprocessing: case study on the uruguay river, itaqui, southern Brazil. Natural Hazards and Earth System Sciences, [S.L.], v. 19, n. 1, p. 237-250, 25 jan. 2019.Disponível em: https://nhess.copernicus.org/articles/19/237/2019/. Acesso em: 25 nov. 2020. https://doi.org/10.5194/nhess-19-237-2019 1561-8633 1684-9981 10.5194/nhess-19-237-2019 |
url |
https://repositorio.ufrn.br/handle/123456789/30904 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution 3.0 Brazil http://creativecommons.org/licenses/by/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
European Geosciences Union |
publisher.none.fl_str_mv |
European Geosciences Union |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRN instname:Universidade Federal do Rio Grande do Norte (UFRN) instacron:UFRN |
instname_str |
Universidade Federal do Rio Grande do Norte (UFRN) |
instacron_str |
UFRN |
institution |
UFRN |
reponame_str |
Repositório Institucional da UFRN |
collection |
Repositório Institucional da UFRN |
bitstream.url.fl_str_mv |
https://repositorio.ufrn.br/bitstream/123456789/30904/1/DelimitationFloodAreas_AMARO_2019.pdf https://repositorio.ufrn.br/bitstream/123456789/30904/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/30904/3/license.txt https://repositorio.ufrn.br/bitstream/123456789/30904/4/DelimitationFloodAreas_AMARO_2019.pdf.txt https://repositorio.ufrn.br/bitstream/123456789/30904/5/DelimitationFloodAreas_AMARO_2019.pdf.jpg |
bitstream.checksum.fl_str_mv |
6bcb39761f66c3ada657d30ef0c7c76f 4d2950bda3d176f570a9f8b328dfbbef e9597aa2854d128fd968be5edc8a28d9 d387d15472b37f33b2f21cf47049d80e 645b3f4105b85a005a22d613d025e717 |
bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
repository.name.fl_str_mv |
Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN) |
repository.mail.fl_str_mv |
|
_version_ |
1802117847018635264 |