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Registro Completo |
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Biblioteca(s): |
Embrapa Semiárido. |
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Data corrente: |
20/09/2007 |
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Data da última atualização: |
20/09/2007 |
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Autoria: |
SILVA, S. R. da (Coord.). |
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Título: |
Bacias hidrográficas de Pernambuco. |
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Ano de publicação: |
2006 |
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Fonte/Imprenta: |
Recife: SECTMA, 2006. |
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Descrição Física: |
1 CD-ROM. |
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Idioma: |
Português |
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Notas: |
Mini CD. |
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Conteúdo: |
1 - Mapas temáticos de Pernambuco: Divisão regional; Regioes de desenvolvimento; Densidade demográfica; Clima; Temperatura do ar média anual; Precipitação pluviométrica média anual; Hipsometria; Relevo; Características geológicas; Grandes domínios de solos; Regiões fitogeográficas; Unidades de conservação; potencial de terras para a irrigação; Mapa imagem. 2 - Mapas de recursos hídricos em Pernambuco: Hidrografia; Domínio das águas; Rede de monitoramento meteorológico e pluviométrico; Rede de monitoramento dos rios e reservatórios; Rede de monitoramento da qualidade da água; Principais sistemas adutores; Barragens subterrâneas; Sistemas de dessalinização implantados; Cômites de bacias hidrográficas e conselhos de usuários de água; Planos de bacias diagnósticos existentes. 3 - Bacias hidrográficas de Pernambuco: Bacias hidrográficas; Goiana e GL6; GL1; GL2; Capibaribe; Ipojuca; Sirinhaém e GL3; Una, GL4 e GL5; Mundaú e GI1; Moxotó e GI3; Pajeu; Terra Nova, GI4 e GI5; Brígida e GI9; Graças, GI6 e GI7; Pontal e GI8; Fernando de Noronha. |
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Palavras-Chave: |
Brasil; Pernambuco. |
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Thesagro: |
Águas Interiores; Bacia Hidrográfica. |
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Categoria do assunto: |
-- |
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Marc: |
LEADER 01531nam a2200181 a 4500
001 1159458
005 2007-09-20
008 2006 bl uuuu 0 #d
100 1 $aSILVA, S. R. da (Coord.).
245 $aBacias hidrográficas de Pernambuco.
260 $aRecife: SECTMA$c2006
300 $c1 CD-ROM.
500 $aMini CD.
520 $a1 - Mapas temáticos de Pernambuco: Divisão regional; Regioes de desenvolvimento; Densidade demográfica; Clima; Temperatura do ar média anual; Precipitação pluviométrica média anual; Hipsometria; Relevo; Características geológicas; Grandes domínios de solos; Regiões fitogeográficas; Unidades de conservação; potencial de terras para a irrigação; Mapa imagem. 2 - Mapas de recursos hídricos em Pernambuco: Hidrografia; Domínio das águas; Rede de monitoramento meteorológico e pluviométrico; Rede de monitoramento dos rios e reservatórios; Rede de monitoramento da qualidade da água; Principais sistemas adutores; Barragens subterrâneas; Sistemas de dessalinização implantados; Cômites de bacias hidrográficas e conselhos de usuários de água; Planos de bacias diagnósticos existentes. 3 - Bacias hidrográficas de Pernambuco: Bacias hidrográficas; Goiana e GL6; GL1; GL2; Capibaribe; Ipojuca; Sirinhaém e GL3; Una, GL4 e GL5; Mundaú e GI1; Moxotó e GI3; Pajeu; Terra Nova, GI4 e GI5; Brígida e GI9; Graças, GI6 e GI7; Pontal e GI8; Fernando de Noronha.
650 $aÁguas Interiores
650 $aBacia Hidrográfica
653 $aBrasil
653 $aPernambuco
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Registro original: |
Embrapa Semiárido (CPATSA) |
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Registro Completo
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Biblioteca(s): |
Embrapa Territorial. |
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Data corrente: |
19/11/2021 |
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Data da última atualização: |
19/11/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
CASSARO, R.; FERREIRA, R. R. M.; FERREIRA, V. R. M.; RODRIGUES, V. G. S. |
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Afiliação: |
RAUL CASSARO, USP; ROGERIO RESENDE MARTINS FERREIRA, CNPM; VINICIUS R. M. FERREIRA, Siriema Produtos Ambientais -Ltda; VALÉRIA G. S. RODRIGUES, USP. |
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Título: |
Cluster analysis in degraded areas by erosion in the Nazareno (MG) region. |
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Ano de publicação: |
2021 |
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Fonte/Imprenta: |
In: ARGENTINE CONGRESS OF GEOLOGY APPLIED TO ENGINEERING AND THE ENVIRONMENT 2.,; IAEG SOUTH AMERICA REGIONAL CONFERENCE 1., 2021, Córdoba. Proceedings... Córdoba: Asagai, 2021. 5 p. |
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ISBN: |
978-987-21766-6-2 |
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Idioma: |
Inglês |
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Conteúdo: |
Abstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear the places (trenches) and the depths with greater susceptibility to erosion. MenosAbstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear... Mostrar Tudo |
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Palavras-Chave: |
Gully. |
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Thesaurus NAL: |
Multivariate analysis. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227923/1/5974.pdf
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Marc: |
LEADER 02264nam a2200181 a 4500
001 2136330
005 2021-11-19
008 2021 bl uuuu u00u1 u #d
020 $a978-987-21766-6-2
100 1 $aCASSARO, R.
245 $aCluster analysis in degraded areas by erosion in the Nazareno (MG) region.$h[electronic resource]
260 $aIn: ARGENTINE CONGRESS OF GEOLOGY APPLIED TO ENGINEERING AND THE ENVIRONMENT 2.,; IAEG SOUTH AMERICA REGIONAL CONFERENCE 1., 2021, Córdoba. Proceedings... Córdoba: Asagai, 2021. 5 p.$c2021
520 $aAbstract: When analyzing a database, summarize collected information is the analyst main challenge. In many cases, when you have a large number of data, it may be of interest to create groups. A cluster analysis is a multivariate statistical procedure that tries to group a data set into homogeneous subgroups, called clusters. In this context, RStudio software has a large number of functions and work packages for cluster analysis. In the Nazareno region (MG), numerous studies have addressed the characterization of areas degraded by large erosive processes (gullies). Thus, this study aimed at a cluster analysis in a database composed of soils collected in 4 trenches and at different depths Nazareno?s region (MG) gullies. The parameters obtained were: pH (pH in H2O and KCl), granulometric fractions, organic matter, density, total pore volume, microporosity and macroporosity. An analysis of clusters partitioned the data into three groups: a) 1 group: trench 4 (depth from 0 to 40 cm), composed of more clayey soils and higher content of organic matter; b) 2 group: trenches 1 and 2 (depths 20-30 cm and 30-40 cm), composed of siltier soils and lower organic matter content; c) group 3: trenches 1, 2 and 3 (different depths). With a cluster analysis, it was possible to separate 3 groups, and these are more related to soil granulometry and organic matter, which are parameters of fundamental importance when analyzing areas degraded by erosion processes. With the results it becomes clear the places (trenches) and the depths with greater susceptibility to erosion.
650 $aMultivariate analysis
653 $aGully
700 1 $aFERREIRA, R. R. M.
700 1 $aFERREIRA, V. R. M.
700 1 $aRODRIGUES, V. G. S.
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