ANALYSIS OF SUSCEPTIBILITY TO DESERTIFICATION IN CAATINGA ENVIRONMENT
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , |
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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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 info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
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 reponame:Geo UERJ instname:Universidade do Estado do Rio de Janeiro (UERJ) instacron:UERJ |
instname_str |
Universidade do Estado do Rio de Janeiro (UERJ) |
instacron_str |
UERJ |
institution |
UERJ |
reponame_str |
Geo UERJ |
collection |
Geo UERJ |
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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1799317529542262784 |