Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo

Detalhes bibliográficos
Autor(a) principal: Santos,Ewerton Danilo Souza
Data de Publicação: 2021
Outros Autores: Pinheiro,Helena Saraiva Koenow, Gallo Junior,Humberto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Floresta e Ambiente
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872021000200307
Resumo: Abstract Natural events associated to environmental disasters has increased with climate changes. Understanding the watershed behavior allows the managers to execute an efficient land use planning. By using as a study area the municipality of São Luiz do Paraitinga, the study’s goal was apply the Height Above the Nearest Drainage Model, which allows categorizing areas based on simulations of water level variations, to evaluate flooding risks at the municipality. The data were processed using ArcGIS Desktop v. 10.3, System for Automated Geoscientific Analysis and TerraHidro. The flood susceptibility map was generated with spatial resolution of 30 m. It was simulated water level variations of 7, 9, 12 and 15 meters and, according to the model, areas with high or very high flood susceptibility cover approximately 13% of the study area (81 km2). In general, the methods used afforded coherent results given the resolution of source data and available information.
id UFRJ-3_e6180570b9db9da897f8bed5498cd27e
oai_identifier_str oai:scielo:S2179-80872021000200307
network_acronym_str UFRJ-3
network_name_str Floresta e Ambiente
repository_id_str
spelling Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São PauloClimate changesland useflooding risksHAND modelAbstract Natural events associated to environmental disasters has increased with climate changes. Understanding the watershed behavior allows the managers to execute an efficient land use planning. By using as a study area the municipality of São Luiz do Paraitinga, the study’s goal was apply the Height Above the Nearest Drainage Model, which allows categorizing areas based on simulations of water level variations, to evaluate flooding risks at the municipality. The data were processed using ArcGIS Desktop v. 10.3, System for Automated Geoscientific Analysis and TerraHidro. The flood susceptibility map was generated with spatial resolution of 30 m. It was simulated water level variations of 7, 9, 12 and 15 meters and, according to the model, areas with high or very high flood susceptibility cover approximately 13% of the study area (81 km2). In general, the methods used afforded coherent results given the resolution of source data and available information.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2021-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872021000200307Floresta e Ambiente v.28 n.2 2021reponame:Floresta e Ambienteinstname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJ10.1590/2179-8087-floram-2020-0070info:eu-repo/semantics/openAccessSantos,Ewerton Danilo SouzaPinheiro,Helena Saraiva KoenowGallo Junior,Humbertoeng2021-06-21T00:00:00Zoai:scielo:S2179-80872021000200307Revistahttps://www.floram.org/PUBhttps://old.scielo.br/oai/scielo-oai.phpfloramjournal@gmail.com||floram@ufrrj.br||2179-80871415-0980opendoar:2021-06-21T00:00Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)false
dc.title.none.fl_str_mv Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
title Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
spellingShingle Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
Santos,Ewerton Danilo Souza
Climate changes
land use
flooding risks
HAND model
title_short Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
title_full Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
title_fullStr Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
title_full_unstemmed Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
title_sort Height Above the Nearest Drainage to Predict Flooding Areas in São Luiz do Paraitinga, São Paulo
author Santos,Ewerton Danilo Souza
author_facet Santos,Ewerton Danilo Souza
Pinheiro,Helena Saraiva Koenow
Gallo Junior,Humberto
author_role author
author2 Pinheiro,Helena Saraiva Koenow
Gallo Junior,Humberto
author2_role author
author
dc.contributor.author.fl_str_mv Santos,Ewerton Danilo Souza
Pinheiro,Helena Saraiva Koenow
Gallo Junior,Humberto
dc.subject.por.fl_str_mv Climate changes
land use
flooding risks
HAND model
topic Climate changes
land use
flooding risks
HAND model
description Abstract Natural events associated to environmental disasters has increased with climate changes. Understanding the watershed behavior allows the managers to execute an efficient land use planning. By using as a study area the municipality of São Luiz do Paraitinga, the study’s goal was apply the Height Above the Nearest Drainage Model, which allows categorizing areas based on simulations of water level variations, to evaluate flooding risks at the municipality. The data were processed using ArcGIS Desktop v. 10.3, System for Automated Geoscientific Analysis and TerraHidro. The flood susceptibility map was generated with spatial resolution of 30 m. It was simulated water level variations of 7, 9, 12 and 15 meters and, according to the model, areas with high or very high flood susceptibility cover approximately 13% of the study area (81 km2). In general, the methods used afforded coherent results given the resolution of source data and available information.
publishDate 2021
dc.date.none.fl_str_mv 2021-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872021000200307
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872021000200307
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/2179-8087-floram-2020-0070
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
publisher.none.fl_str_mv Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro
dc.source.none.fl_str_mv Floresta e Ambiente v.28 n.2 2021
reponame:Floresta e Ambiente
instname:Universidade Federal do Rio de Janeiro (UFRJ)
instacron:UFRJ
instname_str Universidade Federal do Rio de Janeiro (UFRJ)
instacron_str UFRJ
institution UFRJ
reponame_str Floresta e Ambiente
collection Floresta e Ambiente
repository.name.fl_str_mv Floresta e Ambiente - Universidade Federal do Rio de Janeiro (UFRJ)
repository.mail.fl_str_mv floramjournal@gmail.com||floram@ufrrj.br||
_version_ 1750128143745679360

Registros relacionados