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: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.5935/1806-6690.20220018 http://hdl.handle.net/11449/230615 |
Resumo: | Topograp hic 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 defi ned 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 profi le curvature, and topographic wetness index, and to confi gure 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 profi le, 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 desertifi cation |
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Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, BahiaLógica fuzzy e dados topográfi cos: susceptibilidade à salinização dos solos no município de Jeremoabo-BAEnvironmental analysisFuzzy logicGeoprocessingSalinityTopograp hic 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 defi ned 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 profi le curvature, and topographic wetness index, and to confi gure 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 profi le, 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 desertifi cationPrograma de Pós-Graduação em Agronomia (Irrigação e Drenagem) Faculdade de Ciências Agronômicas Universidade Estadual Paulista (UNESP), SPPrograma de Pós-Graduação em Geografi a Universidade Federal da Bahia, BAEmbrapa Instrumentação, SPPrograma de Pós-Graduação em Engenharia Agrícola Universidade Federal de Viçosa (UFV), MGPrograma de Pós-Graduação em Agronomia (Irrigação e Drenagem) Faculdade de Ciências Agronômicas Universidade Estadual Paulista (UNESP), SPUniversidade Estadual Paulista (UNESP)Universidade Federal da Bahia (UFBA)Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA)Universidade Federal de Viçosa (UFV)de Jesus Pereira, Anderson [UNESP]de Oliveira Junior, IsraelBassoi, Luís HenriqueCosta, Taiara Souza2022-04-29T08:41:14Z2022-04-29T08:41:14Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.5935/1806-6690.20220018Revista Ciencia Agronomica, v. 53.1806-66900045-6888http://hdl.handle.net/11449/23061510.5935/1806-6690.202200182-s2.0-85126802383Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengRevista Ciencia Agronomicainfo:eu-repo/semantics/openAccess2024-04-30T14:01:04Zoai:repositorio.unesp.br:11449/230615Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-04-30T14:01:04Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Fuzzy logic and topographic data: susceptibility to soil salinization in the municipality of Jeremoabo, Bahia Lógica fuzzy e dados topográfi cos: susceptibilidade à salinização dos solos no município de Jeremoabo-BA |
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 de Jesus Pereira, Anderson [UNESP] Environmental analysis Fuzzy logic Geoprocessing 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 |
de Jesus Pereira, Anderson [UNESP] |
author_facet |
de Jesus Pereira, Anderson [UNESP] de Oliveira Junior, Israel Bassoi, Luís Henrique Costa, Taiara Souza |
author_role |
author |
author2 |
de Oliveira Junior, Israel Bassoi, Luís Henrique Costa, Taiara Souza |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) Universidade Federal da Bahia (UFBA) Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA) Universidade Federal de Viçosa (UFV) |
dc.contributor.author.fl_str_mv |
de Jesus Pereira, Anderson [UNESP] de Oliveira Junior, Israel Bassoi, Luís Henrique Costa, Taiara Souza |
dc.subject.por.fl_str_mv |
Environmental analysis Fuzzy logic Geoprocessing Salinity |
topic |
Environmental analysis Fuzzy logic Geoprocessing Salinity |
description |
Topograp hic 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 defi ned 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 profi le curvature, and topographic wetness index, and to confi gure 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 profi le, 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 desertifi cation |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-04-29T08:41:14Z 2022-04-29T08:41:14Z 2022-01-01 |
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.uri.fl_str_mv |
http://dx.doi.org/10.5935/1806-6690.20220018 Revista Ciencia Agronomica, v. 53. 1806-6690 0045-6888 http://hdl.handle.net/11449/230615 10.5935/1806-6690.20220018 2-s2.0-85126802383 |
url |
http://dx.doi.org/10.5935/1806-6690.20220018 http://hdl.handle.net/11449/230615 |
identifier_str_mv |
Revista Ciencia Agronomica, v. 53. 1806-6690 0045-6888 10.5935/1806-6690.20220018 2-s2.0-85126802383 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Revista Ciencia Agronomica |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1799964962693578752 |