Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , |
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. |
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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 |