Hydrological modelling in small ungauged catchments

Detalhes bibliográficos
Autor(a) principal: COMINI,ULISSES B.
Data de Publicação: 2020
Outros Autores: SILVA,DEMETRIUS DAVID DA, MOREIRA,MICHEL C., PRUSKI,FERNANDO F.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Anais da Academia Brasileira de Ciências (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000300604
Resumo: Abstract The knowledge of the frequency and magnitude of low flow events is necessary to mitigate social, economic and ecological impacts inside the basin. However, the measurement network in Brazil is still restricted to large drainage areas, while basins with less than 300 km2 remain ungauged. Among different flow estimation methods, we used a rainfall-runoff model designed specifically to estimate flow rates during the dry season in small ungauged basins: the Silveira Method (SM). We tested the model performance for the São Bartolomeu river basin (Minas Gerais, Brazil), a small ungauged basin that experienced severe droughts and water supply shortages in 2014-2016. We tested eleven different scenarios based on the time and duration of drought periods used to estimate the model parameters. In the best scenario, the model underestimated low flow rates by 31% for Q95 and was considered suitable to predict local low flow. Finally, the model results suggest that a water volume higher than the river can support has been granted concession during the dry season, which may lead to an unsustainable water supply scenario soon. This result showed the capacity of SM as a complementary tool for the evaluation of water potential in small basins.
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spelling Hydrological modelling in small ungauged catchmentshydrologic modellingsmall catchmentsungauged catchmentsrainfall-runoff modelAbstract The knowledge of the frequency and magnitude of low flow events is necessary to mitigate social, economic and ecological impacts inside the basin. However, the measurement network in Brazil is still restricted to large drainage areas, while basins with less than 300 km2 remain ungauged. Among different flow estimation methods, we used a rainfall-runoff model designed specifically to estimate flow rates during the dry season in small ungauged basins: the Silveira Method (SM). We tested the model performance for the São Bartolomeu river basin (Minas Gerais, Brazil), a small ungauged basin that experienced severe droughts and water supply shortages in 2014-2016. We tested eleven different scenarios based on the time and duration of drought periods used to estimate the model parameters. In the best scenario, the model underestimated low flow rates by 31% for Q95 and was considered suitable to predict local low flow. Finally, the model results suggest that a water volume higher than the river can support has been granted concession during the dry season, which may lead to an unsustainable water supply scenario soon. This result showed the capacity of SM as a complementary tool for the evaluation of water potential in small basins.Academia Brasileira de Ciências2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000300604Anais da Academia Brasileira de Ciências v.92 n.2 2020reponame:Anais da Academia Brasileira de Ciências (Online)instname:Academia Brasileira de Ciências (ABC)instacron:ABC10.1590/0001-3765202020180687info:eu-repo/semantics/openAccessCOMINI,ULISSES B.SILVA,DEMETRIUS DAVID DAMOREIRA,MICHEL C.PRUSKI,FERNANDO F.eng2020-06-18T00:00:00Zoai:scielo:S0001-37652020000300604Revistahttp://www.scielo.br/aabchttps://old.scielo.br/oai/scielo-oai.php||aabc@abc.org.br1678-26900001-3765opendoar:2020-06-18T00:00Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)false
dc.title.none.fl_str_mv Hydrological modelling in small ungauged catchments
title Hydrological modelling in small ungauged catchments
spellingShingle Hydrological modelling in small ungauged catchments
COMINI,ULISSES B.
hydrologic modelling
small catchments
ungauged catchments
rainfall-runoff model
title_short Hydrological modelling in small ungauged catchments
title_full Hydrological modelling in small ungauged catchments
title_fullStr Hydrological modelling in small ungauged catchments
title_full_unstemmed Hydrological modelling in small ungauged catchments
title_sort Hydrological modelling in small ungauged catchments
author COMINI,ULISSES B.
author_facet COMINI,ULISSES B.
SILVA,DEMETRIUS DAVID DA
MOREIRA,MICHEL C.
PRUSKI,FERNANDO F.
author_role author
author2 SILVA,DEMETRIUS DAVID DA
MOREIRA,MICHEL C.
PRUSKI,FERNANDO F.
author2_role author
author
author
dc.contributor.author.fl_str_mv COMINI,ULISSES B.
SILVA,DEMETRIUS DAVID DA
MOREIRA,MICHEL C.
PRUSKI,FERNANDO F.
dc.subject.por.fl_str_mv hydrologic modelling
small catchments
ungauged catchments
rainfall-runoff model
topic hydrologic modelling
small catchments
ungauged catchments
rainfall-runoff model
description Abstract The knowledge of the frequency and magnitude of low flow events is necessary to mitigate social, economic and ecological impacts inside the basin. However, the measurement network in Brazil is still restricted to large drainage areas, while basins with less than 300 km2 remain ungauged. Among different flow estimation methods, we used a rainfall-runoff model designed specifically to estimate flow rates during the dry season in small ungauged basins: the Silveira Method (SM). We tested the model performance for the São Bartolomeu river basin (Minas Gerais, Brazil), a small ungauged basin that experienced severe droughts and water supply shortages in 2014-2016. We tested eleven different scenarios based on the time and duration of drought periods used to estimate the model parameters. In the best scenario, the model underestimated low flow rates by 31% for Q95 and was considered suitable to predict local low flow. Finally, the model results suggest that a water volume higher than the river can support has been granted concession during the dry season, which may lead to an unsustainable water supply scenario soon. This result showed the capacity of SM as a complementary tool for the evaluation of water potential in small basins.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0001-37652020000300604
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/0001-3765202020180687
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dc.publisher.none.fl_str_mv Academia Brasileira de Ciências
publisher.none.fl_str_mv Academia Brasileira de Ciências
dc.source.none.fl_str_mv Anais da Academia Brasileira de Ciências v.92 n.2 2020
reponame:Anais da Academia Brasileira de Ciências (Online)
instname:Academia Brasileira de Ciências (ABC)
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instname_str Academia Brasileira de Ciências (ABC)
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reponame_str Anais da Academia Brasileira de Ciências (Online)
collection Anais da Academia Brasileira de Ciências (Online)
repository.name.fl_str_mv Anais da Academia Brasileira de Ciências (Online) - Academia Brasileira de Ciências (ABC)
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