Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia

Detalhes bibliográficos
Autor(a) principal: Pereira,Anderson de Jesus
Data de Publicação: 2022
Outros Autores: Oliveira Junior,Israel de, Bassoi,Luís Henrique, Costa,Taiara Souza
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista ciência agronômica (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100418
Resumo: ABSTRACT Topograph ic data extracted from a digital terrain model (DTM) make it possible to analyze factors associated with various phenomena arising on the earth’s surface. The aim of this study was to evaluate environmental susceptibility to soil salinization using the modeling of topographic data in the semiarid region of Brazil. The municipality of Jeremoabo, Bahia, was defined as the spatial scale for the analysis due to the climate characteristics and signs of environmental deterioration. The fuzzy gamma operator was applied to integrate the slope, plan and profile curvature, and topographic wetness index, and to configure scenarios of susceptibility to salinization. Together, the classes of high and severe susceptibility to soil salinization occur in around 22.29% of the total area. They are associated with low slopes, high topographic wetness indices, a concave curvature profile, and the planar class of plan curvature of the terrain. The data show the need to carry out effective land use planning for agriculture, such as the use of irrigation, to minimize the process of soil salinization, which is associated with the phenomenon of desertification.
id UFC-2_87bd654e1225972e9698d6df31070e50
oai_identifier_str oai:scielo:S1806-66902022000100418
network_acronym_str UFC-2
network_name_str Revista ciência agronômica (Online)
repository_id_str
spelling Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, BahiaEnvironmental analysisGeoprocessingFuzzy logicSalinityABSTRACT Topograph ic data extracted from a digital terrain model (DTM) make it possible to analyze factors associated with various phenomena arising on the earth’s surface. The aim of this study was to evaluate environmental susceptibility to soil salinization using the modeling of topographic data in the semiarid region of Brazil. The municipality of Jeremoabo, Bahia, was defined as the spatial scale for the analysis due to the climate characteristics and signs of environmental deterioration. The fuzzy gamma operator was applied to integrate the slope, plan and profile curvature, and topographic wetness index, and to configure scenarios of susceptibility to salinization. Together, the classes of high and severe susceptibility to soil salinization occur in around 22.29% of the total area. They are associated with low slopes, high topographic wetness indices, a concave curvature profile, and the planar class of plan curvature of the terrain. The data show the need to carry out effective land use planning for agriculture, such as the use of irrigation, to minimize the process of soil salinization, which is associated with the phenomenon of desertification.Universidade Federal do Ceará2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100418Revista Ciência Agronômica v.53 2022reponame:Revista ciência agronômica (Online)instname:Universidade Federal do Ceará (UFC)instacron:UFC10.5935/1806-6690.20220018info:eu-repo/semantics/openAccessPereira,Anderson de JesusOliveira Junior,Israel deBassoi,Luís HenriqueCosta,Taiara Souzaeng2022-01-07T00:00:00Zoai:scielo:S1806-66902022000100418Revistahttp://www.ccarevista.ufc.br/PUBhttps://old.scielo.br/oai/scielo-oai.php||alekdutra@ufc.br|| ccarev@ufc.br1806-66900045-6888opendoar:2022-01-07T00:00Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
title Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
spellingShingle Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
Pereira,Anderson de Jesus
Environmental analysis
Geoprocessing
Fuzzy logic
Salinity
title_short Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
title_full Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
title_fullStr Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
title_full_unstemmed Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
title_sort Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
author Pereira,Anderson de Jesus
author_facet Pereira,Anderson de Jesus
Oliveira Junior,Israel de
Bassoi,Luís Henrique
Costa,Taiara Souza
author_role author
author2 Oliveira Junior,Israel de
Bassoi,Luís Henrique
Costa,Taiara Souza
author2_role author
author
author
dc.contributor.author.fl_str_mv Pereira,Anderson de Jesus
Oliveira Junior,Israel de
Bassoi,Luís Henrique
Costa,Taiara Souza
dc.subject.por.fl_str_mv Environmental analysis
Geoprocessing
Fuzzy logic
Salinity
topic Environmental analysis
Geoprocessing
Fuzzy logic
Salinity
description ABSTRACT Topograph ic data extracted from a digital terrain model (DTM) make it possible to analyze factors associated with various phenomena arising on the earth’s surface. The aim of this study was to evaluate environmental susceptibility to soil salinization using the modeling of topographic data in the semiarid region of Brazil. The municipality of Jeremoabo, Bahia, was defined as the spatial scale for the analysis due to the climate characteristics and signs of environmental deterioration. The fuzzy gamma operator was applied to integrate the slope, plan and profile curvature, and topographic wetness index, and to configure scenarios of susceptibility to salinization. Together, the classes of high and severe susceptibility to soil salinization occur in around 22.29% of the total area. They are associated with low slopes, high topographic wetness indices, a concave curvature profile, and the planar class of plan curvature of the terrain. The data show the need to carry out effective land use planning for agriculture, such as the use of irrigation, to minimize the process of soil salinization, which is associated with the phenomenon of desertification.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
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=S1806-66902022000100418
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1806-66902022000100418
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.5935/1806-6690.20220018
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 Universidade Federal do Ceará
publisher.none.fl_str_mv Universidade Federal do Ceará
dc.source.none.fl_str_mv Revista Ciência Agronômica v.53 2022
reponame:Revista ciência agronômica (Online)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Revista ciência agronômica (Online)
collection Revista ciência agronômica (Online)
repository.name.fl_str_mv Revista ciência agronômica (Online) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv ||alekdutra@ufc.br|| ccarev@ufc.br
_version_ 1750297490496684032