Predicting discharge of ungauged basins in the Brazilian Cerrados.

Detalhes bibliográficos
Ano de defesa: 2016
Autor(a) principal: Agerbeek, S.
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Tese
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Não Informado pela instituição
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1070128
Resumo: Rapid population growth in urban areas resulting in an increase in cropland and the use of hydro-electric dams are seen as causes of ecological problems in Brazil, of which the non-sustainable use of water resource is a major concern. Small rivers have an important ecological and socio-economic function, but are more vulnerable to environmental changes. This thesis tests a downscaling methodology, using a regional and a local watershed SWAT model, for the Preto river and the Buriti Vermelho river respectively. The models are constructed using data from the Brazilian Cerrados. This methodology attempts to predict discharge in other ungauged small rivers by using calibrated parameters from the regional watershed model as input for a local watershed model. The downscaling methodology resulted in a local watershed model able to predict average monthly discharge values with a Nash-Suthcliffe Efficiency > 0.1. This means that the discharge simulation using this downscaling methodology of ungauged river basins is only slightly better than the observed average discharge. Secondly, the regional watershed model was also used to assess the impacts of various environmental changes, namely climate change, land-use change and a hydropower dam on discharge. Climate change simulations showed a decrease in baseflow of the Preto river for the worst case scenario, with an annual discharge decrease of 18.1% in 2100. Land-use change mainly resulted in a decrease in baseflow and the hydropower dam caused a decrease in yearly discharge, as well as a decrease in seasonal fluctuations in discharge. These results show that these three different scenarios severely impact total discharge, but mostly groundwater flow in the Preto river watershed.
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spelling Predicting discharge of ungauged basins in the Brazilian Cerrados.Mudanças climáticasDistrito FederalRio PretoBuriti VermelhoHidrologiaBacia hidrográficaCerradoWatershed hydrologyRapid population growth in urban areas resulting in an increase in cropland and the use of hydro-electric dams are seen as causes of ecological problems in Brazil, of which the non-sustainable use of water resource is a major concern. Small rivers have an important ecological and socio-economic function, but are more vulnerable to environmental changes. This thesis tests a downscaling methodology, using a regional and a local watershed SWAT model, for the Preto river and the Buriti Vermelho river respectively. The models are constructed using data from the Brazilian Cerrados. This methodology attempts to predict discharge in other ungauged small rivers by using calibrated parameters from the regional watershed model as input for a local watershed model. The downscaling methodology resulted in a local watershed model able to predict average monthly discharge values with a Nash-Suthcliffe Efficiency > 0.1. This means that the discharge simulation using this downscaling methodology of ungauged river basins is only slightly better than the observed average discharge. Secondly, the regional watershed model was also used to assess the impacts of various environmental changes, namely climate change, land-use change and a hydropower dam on discharge. Climate change simulations showed a decrease in baseflow of the Preto river for the worst case scenario, with an annual discharge decrease of 18.1% in 2100. Land-use change mainly resulted in a decrease in baseflow and the hydropower dam caused a decrease in yearly discharge, as well as a decrease in seasonal fluctuations in discharge. These results show that these three different scenarios severely impact total discharge, but mostly groundwater flow in the Preto river watershed.Dissertação (Mestrado em Terra e Meio Ambiente) - Wageningen University, 2016. Lineu Neiva Rodrigues.2017-05-29T11:11:11Z2017-05-29T11:11:11Z2017-05-2920162017-05-29T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/doctoralThesis79 f.2016.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1070128porAgerbeek, S.info:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2017-08-16T04:29:16Zoai:www.alice.cnptia.embrapa.br:doc/1070128Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542017-08-16T04:29:16Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Predicting discharge of ungauged basins in the Brazilian Cerrados.
title Predicting discharge of ungauged basins in the Brazilian Cerrados.
spellingShingle Predicting discharge of ungauged basins in the Brazilian Cerrados.
Agerbeek, S.
Mudanças climáticas
Distrito Federal
Rio Preto
Buriti Vermelho
Hidrologia
Bacia hidrográfica
Cerrado
Watershed hydrology
title_short Predicting discharge of ungauged basins in the Brazilian Cerrados.
title_full Predicting discharge of ungauged basins in the Brazilian Cerrados.
title_fullStr Predicting discharge of ungauged basins in the Brazilian Cerrados.
title_full_unstemmed Predicting discharge of ungauged basins in the Brazilian Cerrados.
title_sort Predicting discharge of ungauged basins in the Brazilian Cerrados.
author Agerbeek, S.
author_facet Agerbeek, S.
author_role author
dc.contributor.author.fl_str_mv Agerbeek, S.
dc.subject.por.fl_str_mv Mudanças climáticas
Distrito Federal
Rio Preto
Buriti Vermelho
Hidrologia
Bacia hidrográfica
Cerrado
Watershed hydrology
topic Mudanças climáticas
Distrito Federal
Rio Preto
Buriti Vermelho
Hidrologia
Bacia hidrográfica
Cerrado
Watershed hydrology
description Rapid population growth in urban areas resulting in an increase in cropland and the use of hydro-electric dams are seen as causes of ecological problems in Brazil, of which the non-sustainable use of water resource is a major concern. Small rivers have an important ecological and socio-economic function, but are more vulnerable to environmental changes. This thesis tests a downscaling methodology, using a regional and a local watershed SWAT model, for the Preto river and the Buriti Vermelho river respectively. The models are constructed using data from the Brazilian Cerrados. This methodology attempts to predict discharge in other ungauged small rivers by using calibrated parameters from the regional watershed model as input for a local watershed model. The downscaling methodology resulted in a local watershed model able to predict average monthly discharge values with a Nash-Suthcliffe Efficiency > 0.1. This means that the discharge simulation using this downscaling methodology of ungauged river basins is only slightly better than the observed average discharge. Secondly, the regional watershed model was also used to assess the impacts of various environmental changes, namely climate change, land-use change and a hydropower dam on discharge. Climate change simulations showed a decrease in baseflow of the Preto river for the worst case scenario, with an annual discharge decrease of 18.1% in 2100. Land-use change mainly resulted in a decrease in baseflow and the hydropower dam caused a decrease in yearly discharge, as well as a decrease in seasonal fluctuations in discharge. These results show that these three different scenarios severely impact total discharge, but mostly groundwater flow in the Preto river watershed.
publishDate 2016
dc.date.none.fl_str_mv 2016
2017-05-29T11:11:11Z
2017-05-29T11:11:11Z
2017-05-29
2017-05-29T11:11:11Z
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