Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java
Autor(a) principal: | |
---|---|
Data de Publicação: | 2023 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Anuário do Instituto de Geociências (Online) |
Texto Completo: | https://revistas.ufrj.br/index.php/aigeo/article/view/48173 |
Resumo: | Brantas watershed has approximately 14,103 km2 and play an essential role in supplying water for about 30% of the East Java population. Management of water resources in this watershed has become a challenging issue. Conformity of modeling processes and result to mimic the existing hydrological processes is still in question. This study aims to analyze the sensitive parameters of the Soil & Water Assessment Tool (SWAT) model on the watershed. Hydrological processes are observed both monthly and annually. Sensitivity analysis using the SWAT-CUP tool show 18 sensitive parameters. 9 parameters have more than a 50% sensitivity level. 4 are correlated to the soil layer’s runoff generation and water movement. Then, 8 parameters correlated to baseflow calculation. Simulation results illustrate the strong effect of climate change (especially rainfall) on water yield and sedimentation. |
id |
UFRJ-21_65b8971e89e58a362f50533d3a0f2601 |
---|---|
oai_identifier_str |
oai:ojs.pkp.sfu.ca:article/48173 |
network_acronym_str |
UFRJ-21 |
network_name_str |
Anuário do Instituto de Geociências (Online) |
repository_id_str |
|
spelling |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East JavaSufiSWAT-CUPBrantasBrantas watershed has approximately 14,103 km2 and play an essential role in supplying water for about 30% of the East Java population. Management of water resources in this watershed has become a challenging issue. Conformity of modeling processes and result to mimic the existing hydrological processes is still in question. This study aims to analyze the sensitive parameters of the Soil & Water Assessment Tool (SWAT) model on the watershed. Hydrological processes are observed both monthly and annually. Sensitivity analysis using the SWAT-CUP tool show 18 sensitive parameters. 9 parameters have more than a 50% sensitivity level. 4 are correlated to the soil layer’s runoff generation and water movement. Then, 8 parameters correlated to baseflow calculation. Simulation results illustrate the strong effect of climate change (especially rainfall) on water yield and sedimentation.Universidade Federal do Rio de Janeiro2023-05-19info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/vnd.openxmlformats-officedocument.wordprocessingml.documenthttps://revistas.ufrj.br/index.php/aigeo/article/view/4817310.11137/1982-3908_2023_46_48173Anuário do Instituto de Geociências; v. 46 (2023)Anuário do Instituto de Geociências; Vol. 46 (2023)1982-39080101-9759reponame:Anuário do Instituto de Geociências (Online)instname:Universidade Federal do Rio de Janeiro (UFRJ)instacron:UFRJenghttps://revistas.ufrj.br/index.php/aigeo/article/view/48173/pdfhttps://revistas.ufrj.br/index.php/aigeo/article/view/48173/38475Copyright (c) 2023 Anuário do Instituto de Geociênciasinfo:eu-repo/semantics/openAccessSujarwo, Mohamad WawanIndarto, IndartoMandala, Marga2023-05-19T18:35:13Zoai:ojs.pkp.sfu.ca:article/48173Revistahttps://revistas.ufrj.br/index.php/aigeo/indexPUBhttps://revistas.ufrj.br/index.php/aigeo/oaianuario@igeo.ufrj.br||1982-39080101-9759opendoar:2023-05-19T18:35:13Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ)false |
dc.title.none.fl_str_mv |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
title |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
spellingShingle |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java Sujarwo, Mohamad Wawan Sufi SWAT-CUP Brantas |
title_short |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
title_full |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
title_fullStr |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
title_full_unstemmed |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
title_sort |
Sensitivity Analysis of SWAT Model in a Tropical Watershed, East Java |
author |
Sujarwo, Mohamad Wawan |
author_facet |
Sujarwo, Mohamad Wawan Indarto, Indarto Mandala, Marga |
author_role |
author |
author2 |
Indarto, Indarto Mandala, Marga |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Sujarwo, Mohamad Wawan Indarto, Indarto Mandala, Marga |
dc.subject.por.fl_str_mv |
Sufi SWAT-CUP Brantas |
topic |
Sufi SWAT-CUP Brantas |
description |
Brantas watershed has approximately 14,103 km2 and play an essential role in supplying water for about 30% of the East Java population. Management of water resources in this watershed has become a challenging issue. Conformity of modeling processes and result to mimic the existing hydrological processes is still in question. This study aims to analyze the sensitive parameters of the Soil & Water Assessment Tool (SWAT) model on the watershed. Hydrological processes are observed both monthly and annually. Sensitivity analysis using the SWAT-CUP tool show 18 sensitive parameters. 9 parameters have more than a 50% sensitivity level. 4 are correlated to the soil layer’s runoff generation and water movement. Then, 8 parameters correlated to baseflow calculation. Simulation results illustrate the strong effect of climate change (especially rainfall) on water yield and sedimentation. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-05-19 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/48173 10.11137/1982-3908_2023_46_48173 |
url |
https://revistas.ufrj.br/index.php/aigeo/article/view/48173 |
identifier_str_mv |
10.11137/1982-3908_2023_46_48173 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
https://revistas.ufrj.br/index.php/aigeo/article/view/48173/pdf https://revistas.ufrj.br/index.php/aigeo/article/view/48173/38475 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2023 Anuário do Instituto de Geociências info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2023 Anuário do Instituto de Geociências |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf application/vnd.openxmlformats-officedocument.wordprocessingml.document |
dc.publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
publisher.none.fl_str_mv |
Universidade Federal do Rio de Janeiro |
dc.source.none.fl_str_mv |
Anuário do Instituto de Geociências; v. 46 (2023) Anuário do Instituto de Geociências; Vol. 46 (2023) 1982-3908 0101-9759 reponame:Anuário do Instituto de Geociências (Online) instname:Universidade Federal do Rio de Janeiro (UFRJ) instacron:UFRJ |
instname_str |
Universidade Federal do Rio de Janeiro (UFRJ) |
instacron_str |
UFRJ |
institution |
UFRJ |
reponame_str |
Anuário do Instituto de Geociências (Online) |
collection |
Anuário do Instituto de Geociências (Online) |
repository.name.fl_str_mv |
Anuário do Instituto de Geociências (Online) - Universidade Federal do Rio de Janeiro (UFRJ) |
repository.mail.fl_str_mv |
anuario@igeo.ufrj.br|| |
_version_ |
1797053535663161344 |