Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.

Detalhes bibliográficos
Autor(a) principal: Edivam Josà da Silva
Data de Publicação: 2009
Tipo de documento: Dissertação
Idioma: por
Título da fonte: Biblioteca Digital de Teses e Dissertações da UFC
Texto Completo: http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=5282
Resumo: For the adoption of water resources management in dry regions where water availability is limited, knowledge of the different processes of the hydrological cycle is needed, especially the precipitation and flow. Therefore, techniques of GIS are essential in studies of hydrological modeling. The study on maximum flow in a watershed is important because the same act on soil erosion, flooding in urban and rural areas, hydraulic works, among others. The Salitre basin is located in the State of Bahia, Brazil, and its Pacui sub-basin is fully inserted in the Campo Formoso municipio. With a drainage area of 987.74 km2, it is one of the main drainage sub-basin of Salitre river. Hence, the objective of this work was to characterize physiographically the Pacui sub-basin, estimate peak flow by USDA-SCS and Dooge methods, and estimate the hourly evapotranspiration in the sub-basin using the algorithm SEBAL (Surface Energy Balance Algorithms for Land) and images from Landsat 7 - ETM. The Global Mapper software was used for the analysis of land numerical model (SRTM). The ENVI 4.3 software was used for georeferencing of data from topographic maps of SUDENE, and the Arcmap 9.2 software was used for watershed delineation. The time of concentration was determined by USDA and Dooge methods. To determine the radiation balance images from the INPE (National Institute for Space Research) were used and processed by Arcmap  software, within algorithm SEBAL was developed. The basin presented low slope and then tends to reduce the flood peak because of the low speed runoff. ArcHidro proved to be an effective tool in the delineation of river basins and the generation of drainage network and compared with those obtained by maps from SUDENE. The algorithm SEBAL proved to be an agile and efficient tool in evapotranspiration estimation. The use of SRTM provided information of parameters as surface albedo, incident long-wave and shortwave radiations, pixel to pixel. Lower rates of hourly evapotranspiration (<0.15 mm.h-1) were recorded in areas of exposed soils, and higher rates were found in irrigated areas and vegetation, expressing the sensitivity of algorithm SEBAL on evapotranspiration estimation in watershed scale.
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spelling info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisHydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.CaracterizaÃÃo hidrogeolÃgica de bacias hidrogrÃficas do semiÃrido baiano atravÃs de tÃcnicas de geoprocessamento2009-02-10Adunias dos Santos Teixeira33344423453http://lattes.cnpq.br/9646492923898649LuÃs Henrique Bassoi07874037847http://lattes.cnpq.br/3724572927371418Eunice Maia de Andrade11748729349http://lattes.cnpq.br/701234844712252244126363331http://lattes.cnpq.br/7925880476389859Edivam Josà da SilvaUniversidade Federal do CearÃPrograma de PÃs-GraduaÃÃo em Engenharia AgrÃcolaUFCBRHidrologia Sensoriamento remoto VazÃo de pico Tempo de concentraÃÃo SEBAL.Hidrology Remote sensing Discharge peak Time of concentration SEBAL.IRRIGACAO E DRENAGEMFor the adoption of water resources management in dry regions where water availability is limited, knowledge of the different processes of the hydrological cycle is needed, especially the precipitation and flow. Therefore, techniques of GIS are essential in studies of hydrological modeling. The study on maximum flow in a watershed is important because the same act on soil erosion, flooding in urban and rural areas, hydraulic works, among others. The Salitre basin is located in the State of Bahia, Brazil, and its Pacui sub-basin is fully inserted in the Campo Formoso municipio. With a drainage area of 987.74 km2, it is one of the main drainage sub-basin of Salitre river. Hence, the objective of this work was to characterize physiographically the Pacui sub-basin, estimate peak flow by USDA-SCS and Dooge methods, and estimate the hourly evapotranspiration in the sub-basin using the algorithm SEBAL (Surface Energy Balance Algorithms for Land) and images from Landsat 7 - ETM. The Global Mapper software was used for the analysis of land numerical model (SRTM). The ENVI 4.3 software was used for georeferencing of data from topographic maps of SUDENE, and the Arcmap 9.2 software was used for watershed delineation. The time of concentration was determined by USDA and Dooge methods. To determine the radiation balance images from the INPE (National Institute for Space Research) were used and processed by Arcmap  software, within algorithm SEBAL was developed. The basin presented low slope and then tends to reduce the flood peak because of the low speed runoff. ArcHidro proved to be an effective tool in the delineation of river basins and the generation of drainage network and compared with those obtained by maps from SUDENE. The algorithm SEBAL proved to be an agile and efficient tool in evapotranspiration estimation. The use of SRTM provided information of parameters as surface albedo, incident long-wave and shortwave radiations, pixel to pixel. Lower rates of hourly evapotranspiration (<0.15 mm.h-1) were recorded in areas of exposed soils, and higher rates were found in irrigated areas and vegetation, expressing the sensitivity of algorithm SEBAL on evapotranspiration estimation in watershed scale.Para a adoÃÃo de uma gestÃo adequada dos recursos hÃdricos tendo como unidade de planejamento a bacia hidrogrÃfica, o conhecimento dos diferentes processos do ciclo hidrolÃgico se faz necessÃrio, notadamente da precipitaÃÃo, do escoamento e da evapotranspiraÃÃo. Portanto, tÃcnicas de geoprocessamento sÃo imprescindÃveis nos estudos de modelagem hidrolÃgica a nÃvel de bacias hidrogrÃficas. O estudo sobre o escoamento superficial, em uma bacia hidrogrÃfica à importante pelo fato do mesmo atuar sobre a erosÃo do solo, inundaÃÃes em Ãreas rurais e urbanas, obras hidrÃulicas, entre outros. A bacia do rio Salitre esta localizada no Estado da Bahia, e a sub-bacia do rio Pacui esta inserida totalmente no municÃpio de Campo Formoso, com Ãrea de drenagem de 987,74 km2, constituindo umas das principais subbacias de drenagem para o rio Salitre. Nesse contexto, objetivou-se caracterizar fisiograficamente a sub-bacia rio Pacui e bacia do rio Salitre, analisar a estimativa de vazÃo de pico pelos mÃtodos de SCS-USDA e de Dooge, e estimar a evapotranspiraÃÃo horÃria na bacia do rio Pacui utilizando-se o algoritmo SEBAL (Surface Energy Balance Algorithms for Land) e imagens do Landsat 7 â ETM. Utilizou-se os softwares Global Mapper, para anÃlises do modelo numÃrico do terreno (SRTM), ENVI 4.3, para georeferenciamento dos dados tendo como base as cartas topogrÃficas da SUDENE e do software ArcMap 9.2 para delimitaÃÃo automÃtica de bacias. O tempo de concentraÃÃo foi determinado pelos mÃtodos USDA e de Dooge. Para determinar o balanÃo de radiaÃÃo utilizou-se de imagem da regiÃo obtida junto ao INPE (Instituto Nacional de Pesquisas Espaciais) e processadas na ferramenta Ãlgebra de mapa no software ArcMap onde foi desenvolvido o algoritmo SEBAL. A bacia apresenta baixa declividade, portanto tende a uma reduÃÃo dos picos de descargas devido à baixa velocidade de escoamento superficial. A extensÃo ArcHidro mostrou-se uma ferramenta eficaz na delimitaÃÃo de bacias e na geraÃÃo de rede drenagem, comparando com as obtidas pelas cartas da DSG/SUDENE. O algoritmo SEBAL mostrou-se uma ferramenta Ãgil e eficiente na estimativa da evapotranspiraÃÃo. A utilizaÃÃo do SRTM proporcionou ganhos de informaÃÃes nos parÃmetros albedo da superfÃcie, radiaÃÃo de ondas longas incidente, radiaÃÃo de onda curtas incidente, pixel a pixel. Menores taxas de evapotranspiraÃÃo horÃria (< 0,15 mm.h-1) foram registradas em Ãreas de solos expostos e as maiores nas Ãreas irrigadas e vegetaÃÃo no geral, expressando a sensibilidade do algoritmo SEBAL na estimativa da evapotranspiraÃÃo em escala de bacias hidrogrÃficas.Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgicohttp://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=5282application/pdfinfo:eu-repo/semantics/openAccessporreponame:Biblioteca Digital de Teses e Dissertações da UFCinstname:Universidade Federal do Cearáinstacron:UFC2019-01-21T11:18:22Zmail@mail.com -
dc.title.en.fl_str_mv Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
dc.title.alternative.pt.fl_str_mv CaracterizaÃÃo hidrogeolÃgica de bacias hidrogrÃficas do semiÃrido baiano atravÃs de tÃcnicas de geoprocessamento
title Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
spellingShingle Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
Edivam Josà da Silva
Hidrologia
Sensoriamento remoto
VazÃo de pico
Tempo de concentraÃÃo
SEBAL.
Hidrology
Remote sensing
Discharge peak
Time of concentration
SEBAL.
IRRIGACAO E DRENAGEM
title_short Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
title_full Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
title_fullStr Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
title_full_unstemmed Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
title_sort Hydrogeological characterization of watersheds in the semi arid baiano using GIS techniques.
author Edivam Josà da Silva
author_facet Edivam Josà da Silva
author_role author
dc.contributor.advisor1.fl_str_mv Adunias dos Santos Teixeira
dc.contributor.advisor1ID.fl_str_mv 33344423453
dc.contributor.advisor1Lattes.fl_str_mv http://lattes.cnpq.br/9646492923898649
dc.contributor.referee1.fl_str_mv LuÃs Henrique Bassoi
dc.contributor.referee1ID.fl_str_mv 07874037847
dc.contributor.referee1Lattes.fl_str_mv http://lattes.cnpq.br/3724572927371418
dc.contributor.referee2.fl_str_mv Eunice Maia de Andrade
dc.contributor.referee2ID.fl_str_mv 11748729349
dc.contributor.referee2Lattes.fl_str_mv http://lattes.cnpq.br/7012348447122522
dc.contributor.authorID.fl_str_mv 44126363331
dc.contributor.authorLattes.fl_str_mv http://lattes.cnpq.br/7925880476389859
dc.contributor.author.fl_str_mv Edivam Josà da Silva
contributor_str_mv Adunias dos Santos Teixeira
LuÃs Henrique Bassoi
Eunice Maia de Andrade
dc.subject.por.fl_str_mv Hidrologia
Sensoriamento remoto
VazÃo de pico
Tempo de concentraÃÃo
SEBAL.
topic Hidrologia
Sensoriamento remoto
VazÃo de pico
Tempo de concentraÃÃo
SEBAL.
Hidrology
Remote sensing
Discharge peak
Time of concentration
SEBAL.
IRRIGACAO E DRENAGEM
dc.subject.eng.fl_str_mv Hidrology
Remote sensing
Discharge peak
Time of concentration
SEBAL.
dc.subject.cnpq.fl_str_mv IRRIGACAO E DRENAGEM
dc.description.sponsorship.fl_txt_mv Conselho Nacional de Desenvolvimento CientÃfico e TecnolÃgico
dc.description.abstract.por.fl_txt_mv For the adoption of water resources management in dry regions where water availability is limited, knowledge of the different processes of the hydrological cycle is needed, especially the precipitation and flow. Therefore, techniques of GIS are essential in studies of hydrological modeling. The study on maximum flow in a watershed is important because the same act on soil erosion, flooding in urban and rural areas, hydraulic works, among others. The Salitre basin is located in the State of Bahia, Brazil, and its Pacui sub-basin is fully inserted in the Campo Formoso municipio. With a drainage area of 987.74 km2, it is one of the main drainage sub-basin of Salitre river. Hence, the objective of this work was to characterize physiographically the Pacui sub-basin, estimate peak flow by USDA-SCS and Dooge methods, and estimate the hourly evapotranspiration in the sub-basin using the algorithm SEBAL (Surface Energy Balance Algorithms for Land) and images from Landsat 7 - ETM. The Global Mapper software was used for the analysis of land numerical model (SRTM). The ENVI 4.3 software was used for georeferencing of data from topographic maps of SUDENE, and the Arcmap 9.2 software was used for watershed delineation. The time of concentration was determined by USDA and Dooge methods. To determine the radiation balance images from the INPE (National Institute for Space Research) were used and processed by Arcmap  software, within algorithm SEBAL was developed. The basin presented low slope and then tends to reduce the flood peak because of the low speed runoff. ArcHidro proved to be an effective tool in the delineation of river basins and the generation of drainage network and compared with those obtained by maps from SUDENE. The algorithm SEBAL proved to be an agile and efficient tool in evapotranspiration estimation. The use of SRTM provided information of parameters as surface albedo, incident long-wave and shortwave radiations, pixel to pixel. Lower rates of hourly evapotranspiration (<0.15 mm.h-1) were recorded in areas of exposed soils, and higher rates were found in irrigated areas and vegetation, expressing the sensitivity of algorithm SEBAL on evapotranspiration estimation in watershed scale.
Para a adoÃÃo de uma gestÃo adequada dos recursos hÃdricos tendo como unidade de planejamento a bacia hidrogrÃfica, o conhecimento dos diferentes processos do ciclo hidrolÃgico se faz necessÃrio, notadamente da precipitaÃÃo, do escoamento e da evapotranspiraÃÃo. Portanto, tÃcnicas de geoprocessamento sÃo imprescindÃveis nos estudos de modelagem hidrolÃgica a nÃvel de bacias hidrogrÃficas. O estudo sobre o escoamento superficial, em uma bacia hidrogrÃfica à importante pelo fato do mesmo atuar sobre a erosÃo do solo, inundaÃÃes em Ãreas rurais e urbanas, obras hidrÃulicas, entre outros. A bacia do rio Salitre esta localizada no Estado da Bahia, e a sub-bacia do rio Pacui esta inserida totalmente no municÃpio de Campo Formoso, com Ãrea de drenagem de 987,74 km2, constituindo umas das principais subbacias de drenagem para o rio Salitre. Nesse contexto, objetivou-se caracterizar fisiograficamente a sub-bacia rio Pacui e bacia do rio Salitre, analisar a estimativa de vazÃo de pico pelos mÃtodos de SCS-USDA e de Dooge, e estimar a evapotranspiraÃÃo horÃria na bacia do rio Pacui utilizando-se o algoritmo SEBAL (Surface Energy Balance Algorithms for Land) e imagens do Landsat 7 â ETM. Utilizou-se os softwares Global Mapper, para anÃlises do modelo numÃrico do terreno (SRTM), ENVI 4.3, para georeferenciamento dos dados tendo como base as cartas topogrÃficas da SUDENE e do software ArcMap 9.2 para delimitaÃÃo automÃtica de bacias. O tempo de concentraÃÃo foi determinado pelos mÃtodos USDA e de Dooge. Para determinar o balanÃo de radiaÃÃo utilizou-se de imagem da regiÃo obtida junto ao INPE (Instituto Nacional de Pesquisas Espaciais) e processadas na ferramenta Ãlgebra de mapa no software ArcMap onde foi desenvolvido o algoritmo SEBAL. A bacia apresenta baixa declividade, portanto tende a uma reduÃÃo dos picos de descargas devido à baixa velocidade de escoamento superficial. A extensÃo ArcHidro mostrou-se uma ferramenta eficaz na delimitaÃÃo de bacias e na geraÃÃo de rede drenagem, comparando com as obtidas pelas cartas da DSG/SUDENE. O algoritmo SEBAL mostrou-se uma ferramenta Ãgil e eficiente na estimativa da evapotranspiraÃÃo. A utilizaÃÃo do SRTM proporcionou ganhos de informaÃÃes nos parÃmetros albedo da superfÃcie, radiaÃÃo de ondas longas incidente, radiaÃÃo de onda curtas incidente, pixel a pixel. Menores taxas de evapotranspiraÃÃo horÃria (< 0,15 mm.h-1) foram registradas em Ãreas de solos expostos e as maiores nas Ãreas irrigadas e vegetaÃÃo no geral, expressando a sensibilidade do algoritmo SEBAL na estimativa da evapotranspiraÃÃo em escala de bacias hidrogrÃficas.
description For the adoption of water resources management in dry regions where water availability is limited, knowledge of the different processes of the hydrological cycle is needed, especially the precipitation and flow. Therefore, techniques of GIS are essential in studies of hydrological modeling. The study on maximum flow in a watershed is important because the same act on soil erosion, flooding in urban and rural areas, hydraulic works, among others. The Salitre basin is located in the State of Bahia, Brazil, and its Pacui sub-basin is fully inserted in the Campo Formoso municipio. With a drainage area of 987.74 km2, it is one of the main drainage sub-basin of Salitre river. Hence, the objective of this work was to characterize physiographically the Pacui sub-basin, estimate peak flow by USDA-SCS and Dooge methods, and estimate the hourly evapotranspiration in the sub-basin using the algorithm SEBAL (Surface Energy Balance Algorithms for Land) and images from Landsat 7 - ETM. The Global Mapper software was used for the analysis of land numerical model (SRTM). The ENVI 4.3 software was used for georeferencing of data from topographic maps of SUDENE, and the Arcmap 9.2 software was used for watershed delineation. The time of concentration was determined by USDA and Dooge methods. To determine the radiation balance images from the INPE (National Institute for Space Research) were used and processed by Arcmap  software, within algorithm SEBAL was developed. The basin presented low slope and then tends to reduce the flood peak because of the low speed runoff. ArcHidro proved to be an effective tool in the delineation of river basins and the generation of drainage network and compared with those obtained by maps from SUDENE. The algorithm SEBAL proved to be an agile and efficient tool in evapotranspiration estimation. The use of SRTM provided information of parameters as surface albedo, incident long-wave and shortwave radiations, pixel to pixel. Lower rates of hourly evapotranspiration (<0.15 mm.h-1) were recorded in areas of exposed soils, and higher rates were found in irrigated areas and vegetation, expressing the sensitivity of algorithm SEBAL on evapotranspiration estimation in watershed scale.
publishDate 2009
dc.date.issued.fl_str_mv 2009-02-10
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/masterThesis
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dc.publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.publisher.program.fl_str_mv Programa de PÃs-GraduaÃÃo em Engenharia AgrÃcola
dc.publisher.initials.fl_str_mv UFC
dc.publisher.country.fl_str_mv BR
publisher.none.fl_str_mv Universidade Federal do CearÃ
dc.source.none.fl_str_mv reponame:Biblioteca Digital de Teses e Dissertações da UFC
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