Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil
Autor(a) principal: | |
---|---|
Data de Publicação: | 2014 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UFRN |
Texto Completo: | https://repositorio.ufrn.br/handle/123456789/31043 |
Resumo: | Prognostic studies of the shoreline are of utmost importance for Ponta Negra Beach, located in Natal, Northeastern Brazil, where the infrastructure recently built along the shoreline is severely affected by flooding and erosion. This study compares shoreline predictions using three linear regression methods (LMS, LRR and WLR) and tries to discern the best method for different shoreline position scenarios. The methods have shown erosion on the beach in each of the scenarios tested, even in less intense dynamic conditions. The WLA_A with confidence interval of 95% was the well-adjusted model and calculated a retreat of -1.25 m/yr to -2.0 m/yr in hot spot areas. The change of the shoreline on Ponta Negra Beach can be measured as a negative exponential curve. Analysis of these methods has shown a correlation with the morphodynamic stage of the beach |
id |
UFRN_24bad3dffa60995ceda3085f398d95ea |
---|---|
oai_identifier_str |
oai:https://repositorio.ufrn.br:123456789/31043 |
network_acronym_str |
UFRN |
network_name_str |
Repositório Institucional da UFRN |
repository_id_str |
|
spelling |
Busman, Débora VieiraAmaro, Venerando EustáquioPrudêncio, Mattheus da Cunha2020-12-17T20:10:42Z2020-12-17T20:10:42Z2014BUSMAN, D. V.; AMARO, V. E.; PRUDENCIO, M. C.. Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil. World Academy of Science, Engineering and Technology, v. 8, p. 17-21, 2014. Disponível em: https://publications.waset.org/9997740/comparison-of-prognostic-models-in-different-scenarios-of-shoreline-position-on-ponta-negra-beach-in-northeastern-brazil. Acesso em: 07 dez. 2020. https://doi.org/10.5281/zenodo.10914121307-6892https://repositorio.ufrn.br/handle/123456789/3104310.5281/zenodo.1091412World Academy of Science, Engineering and TechnologyAttribution 3.0 Brazilhttp://creativecommons.org/licenses/by/3.0/br/info:eu-repo/semantics/openAccessCoastal ErosionPrognostic ModelDSASComparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlePrognostic studies of the shoreline are of utmost importance for Ponta Negra Beach, located in Natal, Northeastern Brazil, where the infrastructure recently built along the shoreline is severely affected by flooding and erosion. This study compares shoreline predictions using three linear regression methods (LMS, LRR and WLR) and tries to discern the best method for different shoreline position scenarios. The methods have shown erosion on the beach in each of the scenarios tested, even in less intense dynamic conditions. The WLA_A with confidence interval of 95% was the well-adjusted model and calculated a retreat of -1.25 m/yr to -2.0 m/yr in hot spot areas. The change of the shoreline on Ponta Negra Beach can be measured as a negative exponential curve. Analysis of these methods has shown a correlation with the morphodynamic stage of the beachengreponame:Repositório Institucional da UFRNinstname:Universidade Federal do Rio Grande do Norte (UFRN)instacron:UFRNORIGINALComparisonPrognosticModels_AMARO_2014.pdfComparisonPrognosticModels_AMARO_2014.pdfapplication/pdf827004https://repositorio.ufrn.br/bitstream/123456789/31043/1/ComparisonPrognosticModels_AMARO_2014.pdf4de74a651eba4d86d5118041933d6c4eMD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8914https://repositorio.ufrn.br/bitstream/123456789/31043/2/license_rdf4d2950bda3d176f570a9f8b328dfbbefMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-81484https://repositorio.ufrn.br/bitstream/123456789/31043/3/license.txte9597aa2854d128fd968be5edc8a28d9MD53TEXTComparisonPrognosticModels_AMARO_2014.pdf.txtComparisonPrognosticModels_AMARO_2014.pdf.txtExtracted texttext/plain26060https://repositorio.ufrn.br/bitstream/123456789/31043/4/ComparisonPrognosticModels_AMARO_2014.pdf.txt96bf81f6d8fe6c50d6ad59d2a44b0f32MD54THUMBNAILComparisonPrognosticModels_AMARO_2014.pdf.jpgComparisonPrognosticModels_AMARO_2014.pdf.jpgGenerated Thumbnailimage/jpeg1727https://repositorio.ufrn.br/bitstream/123456789/31043/5/ComparisonPrognosticModels_AMARO_2014.pdf.jpg3f575795381888859459458a3f8b4542MD55123456789/310432020-12-20 04:59:53.954oai:https://repositorio.ufrn.br:123456789/31043Tk9OLUVYQ0xVU0lWRSBESVNUUklCVVRJT04gTElDRU5TRQoKCkJ5IHNpZ25pbmcgYW5kIGRlbGl2ZXJpbmcgdGhpcyBsaWNlbnNlLCBNci4gKGF1dGhvciBvciBjb3B5cmlnaHQgaG9sZGVyKToKCgphKSBHcmFudHMgdGhlIFVuaXZlcnNpZGFkZSBGZWRlcmFsIFJpbyBHcmFuZGUgZG8gTm9ydGUgdGhlIG5vbi1leGNsdXNpdmUgcmlnaHQgb2YKcmVwcm9kdWNlLCBjb252ZXJ0IChhcyBkZWZpbmVkIGJlbG93KSwgY29tbXVuaWNhdGUgYW5kIC8gb3IKZGlzdHJpYnV0ZSB0aGUgZGVsaXZlcmVkIGRvY3VtZW50IChpbmNsdWRpbmcgYWJzdHJhY3QgLyBhYnN0cmFjdCkgaW4KZGlnaXRhbCBvciBwcmludGVkIGZvcm1hdCBhbmQgaW4gYW55IG1lZGl1bS4KCmIpIERlY2xhcmVzIHRoYXQgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBpdHMgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQKeW91IGhhdmUgdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gRGVjbGFyZXMKdGhhdCB0aGUgZGVsaXZlcnkgb2YgdGhlIGRvY3VtZW50IGRvZXMgbm90IGluZnJpbmdlLCBhcyBmYXIgYXMgaXQgaXMKdGhlIHJpZ2h0cyBvZiBhbnkgb3RoZXIgcGVyc29uIG9yIGVudGl0eS4KCmMpIElmIHRoZSBkb2N1bWVudCBkZWxpdmVyZWQgY29udGFpbnMgbWF0ZXJpYWwgd2hpY2ggZG9lcyBub3QKcmlnaHRzLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBvYnRhaW5lZCBhdXRob3JpemF0aW9uIGZyb20gdGhlIGhvbGRlciBvZiB0aGUKY29weXJpZ2h0IHRvIGdyYW50IHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlIHRoZSByaWdodHMgcmVxdWlyZWQgYnkgdGhpcyBsaWNlbnNlLCBhbmQgdGhhdCB0aGlzIG1hdGVyaWFsIHdob3NlIHJpZ2h0cyBhcmUgb2YKdGhpcmQgcGFydGllcyBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIHJlY29nbml6ZWQgaW4gdGhlIHRleHQgb3IKY29udGVudCBvZiB0aGUgZG9jdW1lbnQgZGVsaXZlcmVkLgoKSWYgdGhlIGRvY3VtZW50IHN1Ym1pdHRlZCBpcyBiYXNlZCBvbiBmdW5kZWQgb3Igc3VwcG9ydGVkIHdvcmsKYnkgYW5vdGhlciBpbnN0aXR1dGlvbiBvdGhlciB0aGFuIHRoZSBVbml2ZXJzaWRhZGUgRmVkZXJhbCBkbyBSaW8gR3JhbmRlIGRvIE5vcnRlLCBkZWNsYXJlcyB0aGF0IGl0IGhhcyBmdWxmaWxsZWQgYW55IG9ibGlnYXRpb25zIHJlcXVpcmVkIGJ5IHRoZSByZXNwZWN0aXZlIGFncmVlbWVudCBvciBhZ3JlZW1lbnQuCgpUaGUgVW5pdmVyc2lkYWRlIEZlZGVyYWwgZG8gUmlvIEdyYW5kZSBkbyBOb3J0ZSB3aWxsIGNsZWFybHkgaWRlbnRpZnkgaXRzIG5hbWUgKHMpIGFzIHRoZSBhdXRob3IgKHMpIG9yIGhvbGRlciAocykgb2YgdGhlIGRvY3VtZW50J3MgcmlnaHRzCmRlbGl2ZXJlZCwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGNoYW5nZXMsIG90aGVyIHRoYW4gdGhvc2UgcGVybWl0dGVkIGJ5CnRoaXMgbGljZW5zZQo=Repositório de PublicaçõesPUBhttp://repositorio.ufrn.br/oai/opendoar:2020-12-20T07:59:53Repositório Institucional da UFRN - Universidade Federal do Rio Grande do Norte (UFRN)false |
dc.title.pt_BR.fl_str_mv |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
title |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
spellingShingle |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil Busman, Débora Vieira Coastal Erosion Prognostic Model DSAS |
title_short |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
title_full |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
title_fullStr |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
title_full_unstemmed |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
title_sort |
Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil |
author |
Busman, Débora Vieira |
author_facet |
Busman, Débora Vieira Amaro, Venerando Eustáquio Prudêncio, Mattheus da Cunha |
author_role |
author |
author2 |
Amaro, Venerando Eustáquio Prudêncio, Mattheus da Cunha |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Busman, Débora Vieira Amaro, Venerando Eustáquio Prudêncio, Mattheus da Cunha |
dc.subject.por.fl_str_mv |
Coastal Erosion Prognostic Model DSAS |
topic |
Coastal Erosion Prognostic Model DSAS |
description |
Prognostic studies of the shoreline are of utmost importance for Ponta Negra Beach, located in Natal, Northeastern Brazil, where the infrastructure recently built along the shoreline is severely affected by flooding and erosion. This study compares shoreline predictions using three linear regression methods (LMS, LRR and WLR) and tries to discern the best method for different shoreline position scenarios. The methods have shown erosion on the beach in each of the scenarios tested, even in less intense dynamic conditions. The WLA_A with confidence interval of 95% was the well-adjusted model and calculated a retreat of -1.25 m/yr to -2.0 m/yr in hot spot areas. The change of the shoreline on Ponta Negra Beach can be measured as a negative exponential curve. Analysis of these methods has shown a correlation with the morphodynamic stage of the beach |
publishDate |
2014 |
dc.date.issued.fl_str_mv |
2014 |
dc.date.accessioned.fl_str_mv |
2020-12-17T20:10:42Z |
dc.date.available.fl_str_mv |
2020-12-17T20:10:42Z |
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 |
BUSMAN, D. V.; AMARO, V. E.; PRUDENCIO, M. C.. Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil. World Academy of Science, Engineering and Technology, v. 8, p. 17-21, 2014. Disponível em: https://publications.waset.org/9997740/comparison-of-prognostic-models-in-different-scenarios-of-shoreline-position-on-ponta-negra-beach-in-northeastern-brazil. Acesso em: 07 dez. 2020. https://doi.org/10.5281/zenodo.1091412 |
dc.identifier.uri.fl_str_mv |
https://repositorio.ufrn.br/handle/123456789/31043 |
dc.identifier.issn.none.fl_str_mv |
1307-6892 |
dc.identifier.doi.none.fl_str_mv |
10.5281/zenodo.1091412 |
identifier_str_mv |
BUSMAN, D. V.; AMARO, V. E.; PRUDENCIO, M. C.. Comparison of prognostic models in different scenarios of shoreline position on Ponta Negra beach in Northeastern Brazil. World Academy of Science, Engineering and Technology, v. 8, p. 17-21, 2014. Disponível em: https://publications.waset.org/9997740/comparison-of-prognostic-models-in-different-scenarios-of-shoreline-position-on-ponta-negra-beach-in-northeastern-brazil. Acesso em: 07 dez. 2020. https://doi.org/10.5281/zenodo.1091412 1307-6892 10.5281/zenodo.1091412 |
url |
https://repositorio.ufrn.br/handle/123456789/31043 |
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 |
World Academy of Science, Engineering and Technology |
publisher.none.fl_str_mv |
World Academy of Science, Engineering and Technology |
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/123456789/31043/1/ComparisonPrognosticModels_AMARO_2014.pdf https://repositorio.ufrn.br/bitstream/123456789/31043/2/license_rdf https://repositorio.ufrn.br/bitstream/123456789/31043/3/license.txt https://repositorio.ufrn.br/bitstream/123456789/31043/4/ComparisonPrognosticModels_AMARO_2014.pdf.txt https://repositorio.ufrn.br/bitstream/123456789/31043/5/ComparisonPrognosticModels_AMARO_2014.pdf.jpg |
bitstream.checksum.fl_str_mv |
4de74a651eba4d86d5118041933d6c4e 4d2950bda3d176f570a9f8b328dfbbef e9597aa2854d128fd968be5edc8a28d9 96bf81f6d8fe6c50d6ad59d2a44b0f32 3f575795381888859459458a3f8b4542 |
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_ |
1814832848814735360 |