Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Tipo de documento: | Dissertação |
Idioma: | por |
Título da fonte: | Repositório Institucional da UFRR |
Texto Completo: | http://repositorio.ufrr.br:8080/jspui/handle/prefix/463 |
Resumo: | The State of Roraima one bes situated in the extreme north of Brazil. It has as capital the cityof Boa Vista and makes limits to the north with cities of Amajarí and Pacaraima; to the south with the cities of Mucajaí and Alto Alegre; to the east with the cities of Bonfim and Cantá. Considering all the urban construction of Boa Vista, the following variables had been studied: altitude, water level and limit of probing, objectify the preliminary characterization of the subsoil of Boa Vista through probing of simple recognition. Had been used 75 point whose 47 were from the data base of the company A.P Engineering and RC engineering in the year of 1994 to the 2007 and more 28 data raise during the research. Was accomplished the analysis of multivary for the knowledge of standard not supervised according to the technique of Analysis of Hierarchic Component confirm by the Analysis of the Major result. With this 3 Zones for the City of Boa Vista had been identified: Less Vulnerable; Zone 1 - only englobando the Cidade Satelite districts and Zone 3 - the Aquilino da Mota Duarte districts, Centro districts and its transecto until the Caçari districts, Caçari districts and Paraviana districts; More vulnerable: Zone 2 - all the districts located after the limit of BR 174, felt east, with exception of the Aquiline districts of the Mota Duarte and the districts between BR 174, Center, Caçari and Paraviana. The average of the water Level (In) of the city was of 6,3m, the districts with bigger curve of level if they had fit in the districts of little vulnerability; in the points Cecília Brasil, Cel Mota, Ig Mirandinha, Av Gen Sampaio they had registered In the one in the surface; the ground most resistant was the point Center SEFAZ, in the Center districts with limit of sounding of 1,1m, the ground with lesser resistance was located point BR 174 in area of after closed the bridge of the Cauamé. After the determination of the zones and less vulnerable was carried through a granulometria analysis to represent each zone, that classified the material of the point more vulnerable as frank sand and frank arenaceous and for the representative point of the zone less vulnerable it presented the classification of the material as frank argilo arenaceous and frank arenaceous. Therefore, has the necessity of if evaluating the potentially polluting activities of underground waters as localization of cemeteries, in the septic construction of sewerage system and the monitoring of fuel ranks. Thus, the results of this work will serve as plus ambient indicatives for a taking of decisions of public politics, considering the economic, social and ambient factors. |
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Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimentoSondagem SPTVulnerabilidadeRoraimaStandard Penetration TestVulnerabilityCNPQ::CIENCIAS BIOLOGICASThe State of Roraima one bes situated in the extreme north of Brazil. It has as capital the cityof Boa Vista and makes limits to the north with cities of Amajarí and Pacaraima; to the south with the cities of Mucajaí and Alto Alegre; to the east with the cities of Bonfim and Cantá. Considering all the urban construction of Boa Vista, the following variables had been studied: altitude, water level and limit of probing, objectify the preliminary characterization of the subsoil of Boa Vista through probing of simple recognition. Had been used 75 point whose 47 were from the data base of the company A.P Engineering and RC engineering in the year of 1994 to the 2007 and more 28 data raise during the research. Was accomplished the analysis of multivary for the knowledge of standard not supervised according to the technique of Analysis of Hierarchic Component confirm by the Analysis of the Major result. With this 3 Zones for the City of Boa Vista had been identified: Less Vulnerable; Zone 1 - only englobando the Cidade Satelite districts and Zone 3 - the Aquilino da Mota Duarte districts, Centro districts and its transecto until the Caçari districts, Caçari districts and Paraviana districts; More vulnerable: Zone 2 - all the districts located after the limit of BR 174, felt east, with exception of the Aquiline districts of the Mota Duarte and the districts between BR 174, Center, Caçari and Paraviana. The average of the water Level (In) of the city was of 6,3m, the districts with bigger curve of level if they had fit in the districts of little vulnerability; in the points Cecília Brasil, Cel Mota, Ig Mirandinha, Av Gen Sampaio they had registered In the one in the surface; the ground most resistant was the point Center SEFAZ, in the Center districts with limit of sounding of 1,1m, the ground with lesser resistance was located point BR 174 in area of after closed the bridge of the Cauamé. After the determination of the zones and less vulnerable was carried through a granulometria analysis to represent each zone, that classified the material of the point more vulnerable as frank sand and frank arenaceous and for the representative point of the zone less vulnerable it presented the classification of the material as frank argilo arenaceous and frank arenaceous. Therefore, has the necessity of if evaluating the potentially polluting activities of underground waters as localization of cemeteries, in the septic construction of sewerage system and the monitoring of fuel ranks. Thus, the results of this work will serve as plus ambient indicatives for a taking of decisions of public politics, considering the economic, social and ambient factors.O Estado de Roraima localiza-se no extremo norte do Brasil, faz limites ao Norte com os Municípios de Amajarí e Pacaraima; ao Sul como os Municípios de Mucajaí e Alto Alegre; ao Leste com os municípios de Bonfim e Cantá. O trabalho foi desenvolvido na área urbana de Boa Vista, as variáveis estudadas foram: altitude, nível da água e limite de sondagem objetivando a caracterização preliminar do subsolo de Boa Vista, através de sondagens de simples reconhecimento. Foram utilizados 75 pontos dos quais 47 do banco de dados da empresa A.P. Engenharia e RC engenharia nos anos de 1994 à 2007 e mais 28 dados levantados durante a pesquisa. Foi realizado a análise multivariada para o conhecimento de padrões não supervisionados as técnicas de Análise de Componentes Hierárquicos confirmados pela Análise de Componentes Principais. Com isto foram identificadas 3 Zonas para a Cidade de Boa Vista: Menos Vulneráveis; Zona 1 - englobando somente o bairro Cidade Satélite e Zona 3 - os bairros Aquilino da Mota Duarte, bairro Centro e seu transecto até o bairro Caçari, bairro Caçari e bairro Paraviana.; Mais vulneráveis: Zona 2 - todos os bairros localizados após o limite da BR 174, sentido leste, com exceção do Bairro Aquilino da Mota Duarte e os bairro entre a BR 174, Centro, Caçari e Paraviana. A média do Nível de água (NA) da cidade foi de 6,3m, os bairros com maior curva de nível se enquadraram nos bairros de menos vulnerabilidade; nos pontos Cecília Brasil, Cel Mota, Ig Mirandinha, Av. Gen. Sampaio registraram NA na superfície; o solo mais resistente foi o ponto Centro SEFAZ, no bairro Centro com limite de sondagem de 1,1m, o solo com menor resistência foi o ponto BR 174 localizado em área de cerrado após a ponte do Cauamé. Após a determinação das zonas menos e mais vulneráveis foi realizada uma análise de granulometria para representar cada zona, que classificou o material do ponto mais vulnerável como areia franca e franco arenoso e para o ponto representante da zona menos vulnerável apresentou a classificação do material como franco argilo arenoso e franco arenoso. Portanto, há a necessidade de se avaliar as atividades potencialmente poluidoras de águas subterrâneas como localização de cemitérios, na construção de fossas sépticas e no monitoramento de postos de combustível. Assim os resultados deste trabalho servirão como mais uma ferramenta de análise ambiental para uma tomada de decisão embasada e dentro do mais viável econômico social e ambiental.Agência 1Universidade Federal de RoraimaBrasilPRPPG - Pró-reitoria de Pesquisa e Pós-GraduaçãoPRONAT - Programa de Pós-Graduação em Recursos NaturaisUFRREvangelista, Renato Augusto de Oliveirahttp://lattes.cnpq.br/6817293043842834Avila, Iana Carmem de Souza e Silva2022-02-09T19:29:18Z20222022-02-09T19:29:18Z2007info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisAVILA, Iana Carmem de Souza e Silva. Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento. 2007. 89f. Dissertação (Mestrado em Ciências Ambientais) - Programa de Pós-Graduação em Recursos Naturais, Universidade Federal de Roraima, Boa Vista, 2007.http://repositorio.ufrr.br:8080/jspui/handle/prefix/463porAttribution-NonCommercial-ShareAlike 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-sa/3.0/br/info:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFRRinstname:Universidade Federal de Roraima (UFRR)instacron:UFRR2024-01-15T15:49:59Zoai:repositorio.ufrr.br:prefix/463Repositório InstitucionalPUBhttp://repositorio.ufrr.br:8080/oai/requestangelsenhora@gmail.comopendoar:2024-01-15T15:49:59Repositório Institucional da UFRR - Universidade Federal de Roraima (UFRR)false |
dc.title.none.fl_str_mv |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
title |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
spellingShingle |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento Avila, Iana Carmem de Souza e Silva Sondagem SPT Vulnerabilidade Roraima Standard Penetration Test Vulnerability CNPQ::CIENCIAS BIOLOGICAS |
title_short |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
title_full |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
title_fullStr |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
title_full_unstemmed |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
title_sort |
Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento |
author |
Avila, Iana Carmem de Souza e Silva |
author_facet |
Avila, Iana Carmem de Souza e Silva |
author_role |
author |
dc.contributor.none.fl_str_mv |
Evangelista, Renato Augusto de Oliveira http://lattes.cnpq.br/6817293043842834 |
dc.contributor.author.fl_str_mv |
Avila, Iana Carmem de Souza e Silva |
dc.subject.por.fl_str_mv |
Sondagem SPT Vulnerabilidade Roraima Standard Penetration Test Vulnerability CNPQ::CIENCIAS BIOLOGICAS |
topic |
Sondagem SPT Vulnerabilidade Roraima Standard Penetration Test Vulnerability CNPQ::CIENCIAS BIOLOGICAS |
description |
The State of Roraima one bes situated in the extreme north of Brazil. It has as capital the cityof Boa Vista and makes limits to the north with cities of Amajarí and Pacaraima; to the south with the cities of Mucajaí and Alto Alegre; to the east with the cities of Bonfim and Cantá. Considering all the urban construction of Boa Vista, the following variables had been studied: altitude, water level and limit of probing, objectify the preliminary characterization of the subsoil of Boa Vista through probing of simple recognition. Had been used 75 point whose 47 were from the data base of the company A.P Engineering and RC engineering in the year of 1994 to the 2007 and more 28 data raise during the research. Was accomplished the analysis of multivary for the knowledge of standard not supervised according to the technique of Analysis of Hierarchic Component confirm by the Analysis of the Major result. With this 3 Zones for the City of Boa Vista had been identified: Less Vulnerable; Zone 1 - only englobando the Cidade Satelite districts and Zone 3 - the Aquilino da Mota Duarte districts, Centro districts and its transecto until the Caçari districts, Caçari districts and Paraviana districts; More vulnerable: Zone 2 - all the districts located after the limit of BR 174, felt east, with exception of the Aquiline districts of the Mota Duarte and the districts between BR 174, Center, Caçari and Paraviana. The average of the water Level (In) of the city was of 6,3m, the districts with bigger curve of level if they had fit in the districts of little vulnerability; in the points Cecília Brasil, Cel Mota, Ig Mirandinha, Av Gen Sampaio they had registered In the one in the surface; the ground most resistant was the point Center SEFAZ, in the Center districts with limit of sounding of 1,1m, the ground with lesser resistance was located point BR 174 in area of after closed the bridge of the Cauamé. After the determination of the zones and less vulnerable was carried through a granulometria analysis to represent each zone, that classified the material of the point more vulnerable as frank sand and frank arenaceous and for the representative point of the zone less vulnerable it presented the classification of the material as frank argilo arenaceous and frank arenaceous. Therefore, has the necessity of if evaluating the potentially polluting activities of underground waters as localization of cemeteries, in the septic construction of sewerage system and the monitoring of fuel ranks. Thus, the results of this work will serve as plus ambient indicatives for a taking of decisions of public politics, considering the economic, social and ambient factors. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007 2022-02-09T19:29:18Z 2022 2022-02-09T19:29:18Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/masterThesis |
format |
masterThesis |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
AVILA, Iana Carmem de Souza e Silva. Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento. 2007. 89f. Dissertação (Mestrado em Ciências Ambientais) - Programa de Pós-Graduação em Recursos Naturais, Universidade Federal de Roraima, Boa Vista, 2007. http://repositorio.ufrr.br:8080/jspui/handle/prefix/463 |
identifier_str_mv |
AVILA, Iana Carmem de Souza e Silva. Caracterização preliminar do subsolo da área urbana de Boa Vista-RR, a partir de sondagens de simples reconhecimento. 2007. 89f. Dissertação (Mestrado em Ciências Ambientais) - Programa de Pós-Graduação em Recursos Naturais, Universidade Federal de Roraima, Boa Vista, 2007. |
url |
http://repositorio.ufrr.br:8080/jspui/handle/prefix/463 |
dc.language.iso.fl_str_mv |
por |
language |
por |
dc.rights.driver.fl_str_mv |
Attribution-NonCommercial-ShareAlike 3.0 Brazil http://creativecommons.org/licenses/by-nc-sa/3.0/br/ info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Attribution-NonCommercial-ShareAlike 3.0 Brazil http://creativecommons.org/licenses/by-nc-sa/3.0/br/ |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
Universidade Federal de Roraima Brasil PRPPG - Pró-reitoria de Pesquisa e Pós-Graduação PRONAT - Programa de Pós-Graduação em Recursos Naturais UFRR |
publisher.none.fl_str_mv |
Universidade Federal de Roraima Brasil PRPPG - Pró-reitoria de Pesquisa e Pós-Graduação PRONAT - Programa de Pós-Graduação em Recursos Naturais UFRR |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UFRR instname:Universidade Federal de Roraima (UFRR) instacron:UFRR |
instname_str |
Universidade Federal de Roraima (UFRR) |
instacron_str |
UFRR |
institution |
UFRR |
reponame_str |
Repositório Institucional da UFRR |
collection |
Repositório Institucional da UFRR |
repository.name.fl_str_mv |
Repositório Institucional da UFRR - Universidade Federal de Roraima (UFRR) |
repository.mail.fl_str_mv |
angelsenhora@gmail.com |
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1802112038406717440 |