Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1007/s10661-019-7789-1 http://hdl.handle.net/11449/189731 |
Resumo: | This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani fuzzy inference system was designed using linguistic variables, pertinence functions, and a set of rules associated to a traditional laminar erosion prediction model through the environmental conditioners slope, erodibility, and degree of soil protection. The laminar erosion prediction model associated with fuzzy logic is a qualitative evaluation of erosive potential capable of being spatialized with a greater level of detail, increasing the traditional classification by two levels. The processing of environmental and soil conditioning factors using the fuzzy logic resulted in values between 2.5 and 9.1, which places the basin at a low to very high laminar erosion potential. The results indicate areas that demand a greater attention regarding soil management; 56.89% of the area has a medium to high laminar erosion and high to very high erosion (6.99%). |
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spelling |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savannaFuzzificationGeoprocessingLaminar erosionMemberships functionsPrediction modelThis study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani fuzzy inference system was designed using linguistic variables, pertinence functions, and a set of rules associated to a traditional laminar erosion prediction model through the environmental conditioners slope, erodibility, and degree of soil protection. The laminar erosion prediction model associated with fuzzy logic is a qualitative evaluation of erosive potential capable of being spatialized with a greater level of detail, increasing the traditional classification by two levels. The processing of environmental and soil conditioning factors using the fuzzy logic resulted in values between 2.5 and 9.1, which places the basin at a low to very high laminar erosion potential. The results indicate areas that demand a greater attention regarding soil management; 56.89% of the area has a medium to high laminar erosion and high to very high erosion (6.99%).State Goiás University, 153 BR Road ,Area Block. 199 Km. AnapólisSorocaba São Paulo State University (UNESP) Institute of Science and TechnologyGeoprocessing and Environmental Mathematical Modeling Laboratory, 711, Three March Avenue, Sorocaba, São Paulo, 18087-180, Brazil. jomilc@gmail.comTechnological Research Institute of São Paulo (IPT), 532, Prof. Almeida Prado, University City, São Paulo, São Paulo, 05508-901, Brazil. jomilc@gmail.comFederal University of the South of Bahia, Universitary Campus Sosigenes Costa, Highway 367, km 30, Porto Seguro, Bahia, 45810-000, BrazilGeoprocessing and Environmental Mathematical Modeling Laboratory, 711, Three March Avenue, Sorocaba, São Paulo, 18087-180, BrazilSorocaba São Paulo State University (UNESP) Institute of Science and TechnologyState Goiás UniversityUniversidade Estadual Paulista (Unesp)de Souza, José CarlosSales, Jomil Costa Abreu [UNESP]do Nascimento Lopes, Elfany ReisRoveda, José Arnaldo Frutuoso [UNESP]Roveda, Sandra Regina Monteiro Masalskiene [UNESP]Lourenço, Roberto Wagner [UNESP]2019-10-06T16:50:24Z2019-10-06T16:50:24Z2019-09-07info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article624http://dx.doi.org/10.1007/s10661-019-7789-1Environmental monitoring and assessment, v. 191, n. 10, p. 624-, 2019.1573-2959http://hdl.handle.net/11449/18973110.1007/s10661-019-7789-12-s2.0-8507189660462498421093548560000-0003-3390-8747Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEnvironmental monitoring and assessmentinfo:eu-repo/semantics/openAccess2021-10-23T22:14:35Zoai:repositorio.unesp.br:11449/189731Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T22:14:35Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
title |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
spellingShingle |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna de Souza, José Carlos Fuzzification Geoprocessing Laminar erosion Memberships functions Prediction model |
title_short |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
title_full |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
title_fullStr |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
title_full_unstemmed |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
title_sort |
Valuation methodology of laminar erosion potential using fuzzy inference systems in a Brazilian savanna |
author |
de Souza, José Carlos |
author_facet |
de Souza, José Carlos Sales, Jomil Costa Abreu [UNESP] do Nascimento Lopes, Elfany Reis Roveda, José Arnaldo Frutuoso [UNESP] Roveda, Sandra Regina Monteiro Masalskiene [UNESP] Lourenço, Roberto Wagner [UNESP] |
author_role |
author |
author2 |
Sales, Jomil Costa Abreu [UNESP] do Nascimento Lopes, Elfany Reis Roveda, José Arnaldo Frutuoso [UNESP] Roveda, Sandra Regina Monteiro Masalskiene [UNESP] Lourenço, Roberto Wagner [UNESP] |
author2_role |
author author author author author |
dc.contributor.none.fl_str_mv |
State Goiás University Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
de Souza, José Carlos Sales, Jomil Costa Abreu [UNESP] do Nascimento Lopes, Elfany Reis Roveda, José Arnaldo Frutuoso [UNESP] Roveda, Sandra Regina Monteiro Masalskiene [UNESP] Lourenço, Roberto Wagner [UNESP] |
dc.subject.por.fl_str_mv |
Fuzzification Geoprocessing Laminar erosion Memberships functions Prediction model |
topic |
Fuzzification Geoprocessing Laminar erosion Memberships functions Prediction model |
description |
This study presents an approach on the evaluation of potential laminar erosion in the Ribeirão Sucuri Grande watershed. It is located in the northeast of the state of Goiás, Brazil, a conservation area under strong anthropogenic pressure. A Mamdani fuzzy inference system was designed using linguistic variables, pertinence functions, and a set of rules associated to a traditional laminar erosion prediction model through the environmental conditioners slope, erodibility, and degree of soil protection. The laminar erosion prediction model associated with fuzzy logic is a qualitative evaluation of erosive potential capable of being spatialized with a greater level of detail, increasing the traditional classification by two levels. The processing of environmental and soil conditioning factors using the fuzzy logic resulted in values between 2.5 and 9.1, which places the basin at a low to very high laminar erosion potential. The results indicate areas that demand a greater attention regarding soil management; 56.89% of the area has a medium to high laminar erosion and high to very high erosion (6.99%). |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019-10-06T16:50:24Z 2019-10-06T16:50:24Z 2019-09-07 |
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/10.1007/s10661-019-7789-1 Environmental monitoring and assessment, v. 191, n. 10, p. 624-, 2019. 1573-2959 http://hdl.handle.net/11449/189731 10.1007/s10661-019-7789-1 2-s2.0-85071896604 6249842109354856 0000-0003-3390-8747 |
url |
http://dx.doi.org/10.1007/s10661-019-7789-1 http://hdl.handle.net/11449/189731 |
identifier_str_mv |
Environmental monitoring and assessment, v. 191, n. 10, p. 624-, 2019. 1573-2959 10.1007/s10661-019-7789-1 2-s2.0-85071896604 6249842109354856 0000-0003-3390-8747 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Environmental monitoring and assessment |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
624 |
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_ |
1803650378308255744 |