ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT

Detalhes bibliográficos
Autor(a) principal: Pereira, Anderson de Jesus
Data de Publicação: 2020
Outros Autores: Oliveira Junior, Israel de, Lobão, Jocimara Souza Britto
Tipo de documento: Artigo
Idioma: por
Título da fonte: Geo UERJ
Texto Completo: https://www.e-publicacoes.uerj.br/geouerj/article/view/39260
Resumo: Environmental susceptibility indicates the probability of natural fragility concerning certain environmental issues, such as those related to desertification. The aim of this study was to identify areas susceptible to desertification in caatinga environments, based on the analysis of Canudos and Jeremoabo, both located in the northern area of Bahia. Fuzzy logic was applied in order to integrate the physical-environmental data (lithology, soils, and relief variables) and elaborate the susceptibility modeling. The topographic indexes of humidity, declivity, plane and profile of the relief curvature were obtained from the digital elevation model (DEM) and assembled the relief variable. After the composition and analysis of the environmental scenario, we observed that 13% of the studied territory corresponds to severe susceptibility and 15% corresponds to high susceptibility. Besides, we verified that both areas located in undulated relief, heavily undulated relief and mountainous relief and are in environments of medium-low and low topographic humidity index. In the cities we investigated, an average susceptibility stands out, which is higher than 40%. The data derived from the modeling shows the need to carry out an effective soil use in order to avoid or reduce environmental degradation processes of the caatinga biome, such as conservation practices to avoid actions that produce accelerated erosion, element of the desertification process.
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spelling ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENTANÁLISE DA SUSCEPTIBILIDADE À DESERTIFICAÇÃO EM AMBIENTE DE CAATINGAAnálise ambiental. Degradação. Erosão. Geotecnologias. Manejo das terras.Environmental analysis. Degradation. Erosion. Geotechnologies. Land management.Environmental susceptibility indicates the probability of natural fragility concerning certain environmental issues, such as those related to desertification. The aim of this study was to identify areas susceptible to desertification in caatinga environments, based on the analysis of Canudos and Jeremoabo, both located in the northern area of Bahia. Fuzzy logic was applied in order to integrate the physical-environmental data (lithology, soils, and relief variables) and elaborate the susceptibility modeling. The topographic indexes of humidity, declivity, plane and profile of the relief curvature were obtained from the digital elevation model (DEM) and assembled the relief variable. After the composition and analysis of the environmental scenario, we observed that 13% of the studied territory corresponds to severe susceptibility and 15% corresponds to high susceptibility. Besides, we verified that both areas located in undulated relief, heavily undulated relief and mountainous relief and are in environments of medium-low and low topographic humidity index. In the cities we investigated, an average susceptibility stands out, which is higher than 40%. The data derived from the modeling shows the need to carry out an effective soil use in order to avoid or reduce environmental degradation processes of the caatinga biome, such as conservation practices to avoid actions that produce accelerated erosion, element of the desertification process.A susceptibilidade ambiental indica a probabilidade de fragilidade natural em relação à determinadas problemáticas ambientais, como as relacionadas à desertificação. Por este estudo, objetivou-se identificar as áreas susceptíveis à desertificação em ambientes da caatinga, tendo como escala de análise os municípios de Canudos e Jeremoabo, localizados no norte do estado da Bahia. Aplicou-se a lógica fuzzy para a integração de dados físico-ambientais (litologia, solos e variáveis do relevo) e elaboração da modelagem de susceptibilidade. O índice topográfico de umidade, declividade, plano e perfil de curvatura do relevo foram extraídos do modelo digital de terreno (MDT) e compuseram as variáveis do relevo. Após a elaboração e análise do cenário ambiental, constatou-se que 13% do território em estudo correspondem à susceptibilidade severa e a susceptibilidade alta a 15%, e ambas se encontram em relevos ondulados, forte-ondulados e montanhosos, em ambientes de médio-baixo e baixo índice topográfico de umidade. Nos municípios, destacam-se a susceptibilidade média, a qual é superior a 40%. Os dados oriundos da modelagem demonstram a necessidade de realizar um planejamento eficaz de uso do solo, a fim de evitar ou reduzir os processos de degradação ambiental do bioma caatinga, por meio da adoção de práticas conservacionistas no tocante de combater ações que desencadeiem a erosão acelerada, fator do processo de desertificação.Universidade do Estado do Rio de Janeiro2020-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://www.e-publicacoes.uerj.br/geouerj/article/view/3926010.12957/geouerj.2020.39260Geo UERJ; n. 37 (2020): Jul/Dez - Olhares Geográficos sobre o Moçambique; e392601981-90211415-7543reponame:Geo UERJinstname:Universidade do Estado do Rio de Janeiro (UERJ)instacron:UERJporhttps://www.e-publicacoes.uerj.br/geouerj/article/view/39260/35278Copyright (c) 2020 Anderson de Jesus Pereira, Israel de Oliveira Junior, Jocimara Souza Brito Lobãoinfo:eu-repo/semantics/openAccessPereira, Anderson de JesusOliveira Junior, Israel deLobão, Jocimara Souza Britto2022-02-20T22:23:21Zoai:ojs.www.e-publicacoes.uerj.br:article/39260Revistahttps://www.e-publicacoes.uerj.br/index.php/geouerjPUBhttps://www.e-publicacoes.uerj.br/index.php/geouerj/oaitunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com1981-90211415-7543opendoar:2022-02-20T22:23:21Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ)false
dc.title.none.fl_str_mv ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
ANÁLISE DA SUSCEPTIBILIDADE À DESERTIFICAÇÃO EM AMBIENTE DE CAATINGA
title ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
spellingShingle ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
Pereira, Anderson de Jesus
Análise ambiental. Degradação. Erosão. Geotecnologias. Manejo das terras.
Environmental analysis. Degradation. Erosion. Geotechnologies. Land management.
title_short ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
title_full ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
title_fullStr ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
title_full_unstemmed ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
title_sort ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
author Pereira, Anderson de Jesus
author_facet Pereira, Anderson de Jesus
Oliveira Junior, Israel de
Lobão, Jocimara Souza Britto
author_role author
author2 Oliveira Junior, Israel de
Lobão, Jocimara Souza Britto
author2_role author
author
dc.contributor.author.fl_str_mv Pereira, Anderson de Jesus
Oliveira Junior, Israel de
Lobão, Jocimara Souza Britto
dc.subject.por.fl_str_mv Análise ambiental. Degradação. Erosão. Geotecnologias. Manejo das terras.
Environmental analysis. Degradation. Erosion. Geotechnologies. Land management.
topic Análise ambiental. Degradação. Erosão. Geotecnologias. Manejo das terras.
Environmental analysis. Degradation. Erosion. Geotechnologies. Land management.
description Environmental susceptibility indicates the probability of natural fragility concerning certain environmental issues, such as those related to desertification. The aim of this study was to identify areas susceptible to desertification in caatinga environments, based on the analysis of Canudos and Jeremoabo, both located in the northern area of Bahia. Fuzzy logic was applied in order to integrate the physical-environmental data (lithology, soils, and relief variables) and elaborate the susceptibility modeling. The topographic indexes of humidity, declivity, plane and profile of the relief curvature were obtained from the digital elevation model (DEM) and assembled the relief variable. After the composition and analysis of the environmental scenario, we observed that 13% of the studied territory corresponds to severe susceptibility and 15% corresponds to high susceptibility. Besides, we verified that both areas located in undulated relief, heavily undulated relief and mountainous relief and are in environments of medium-low and low topographic humidity index. In the cities we investigated, an average susceptibility stands out, which is higher than 40%. The data derived from the modeling shows the need to carry out an effective soil use in order to avoid or reduce environmental degradation processes of the caatinga biome, such as conservation practices to avoid actions that produce accelerated erosion, element of the desertification process.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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format article
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dc.identifier.uri.fl_str_mv https://www.e-publicacoes.uerj.br/geouerj/article/view/39260
10.12957/geouerj.2020.39260
url https://www.e-publicacoes.uerj.br/geouerj/article/view/39260
identifier_str_mv 10.12957/geouerj.2020.39260
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://www.e-publicacoes.uerj.br/geouerj/article/view/39260/35278
dc.rights.driver.fl_str_mv Copyright (c) 2020 Anderson de Jesus Pereira, Israel de Oliveira Junior, Jocimara Souza Brito Lobão
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Anderson de Jesus Pereira, Israel de Oliveira Junior, Jocimara Souza Brito Lobão
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
publisher.none.fl_str_mv Universidade do Estado do Rio de Janeiro
dc.source.none.fl_str_mv Geo UERJ; n. 37 (2020): Jul/Dez - Olhares Geográficos sobre o Moçambique; e39260
1981-9021
1415-7543
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repository.name.fl_str_mv Geo UERJ - Universidade do Estado do Rio de Janeiro (UERJ)
repository.mail.fl_str_mv tunesregina@gmail.com || ppeuerj@eduerj.uerj.br || geouerj.revista@gmail.com || glauciomarafon@hotmail.com
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