Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data

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Recently there are models that study the hydrological behavior in the land cover of the hydrographic basins. For this reason, it is essential to understand the hydrological impact on land cover, which will serve for the management of watersheds. The study analyzed the changes in plant cover for the...

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Detalles Bibliográficos
Autores: Mollo, Samuel Nuñonca, Gutierrez, Ruben Esau Mogrovejo
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/673574
Enlace del recurso:http://hdl.handle.net/10757/673574
Nivel de acceso:acceso embargado
Materia:Land Cover
Number Curve
SWAT model
Water balance
Water resources
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oai_identifier_str oai:repositorioacademico.upc.edu.pe:10757/673574
network_acronym_str UUPC
network_name_str UPC-Institucional
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dc.title.es_PE.fl_str_mv Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
title Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
spellingShingle Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
Mollo, Samuel Nuñonca
Land Cover
Number Curve
SWAT model
Water balance
Water resources
title_short Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
title_full Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
title_fullStr Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
title_full_unstemmed Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
title_sort Hydrological modeling in land cover - Upstream angostura dam with the use of satellite data
author Mollo, Samuel Nuñonca
author_facet Mollo, Samuel Nuñonca
Gutierrez, Ruben Esau Mogrovejo
author_role author
author2 Gutierrez, Ruben Esau Mogrovejo
author2_role author
dc.contributor.author.fl_str_mv Mollo, Samuel Nuñonca
Gutierrez, Ruben Esau Mogrovejo
dc.subject.es_PE.fl_str_mv Land Cover
Number Curve
SWAT model
Water balance
Water resources
topic Land Cover
Number Curve
SWAT model
Water balance
Water resources
description Recently there are models that study the hydrological behavior in the land cover of the hydrographic basins. For this reason, it is essential to understand the hydrological impact on land cover, which will serve for the management of watersheds. The study analyzed the changes in plant cover for the periods between 1985 and 2015, where plant covers such as Tolar, Wetlands, Puna grassland, Andean grasslands, and Yaretales were identified. Therefore, it was shown that there are losses of soil covers such as wetlands at 2.39%, Puna grassland at 1.71%, and Andean grassland at 4.77%. In addition, in this research, the semi-distributed model of Soil and Water Assessment (SWAT) was applied to study the impact of land use and land cover change (LULC) on the basin's water balance under study. The model was calibrated from (1981-1992), with the flow data observed. The result indicates that the most sensitive parameters are those that regulate the surface response (CN2, SOL_AWC) and the subsurface response (GWQMN). The hydrological simulation with vegetation cover maps for the years 1985 and 2015 showed high runoff in Urban areas, Puna grassland, and Puna grassland. Finally, to validate the results, the comparison of the Number Curve elaborated on a national scale was carried out, this parameter is very important in the hydrological models of precipitation and runoff. In the simulation, NCs similar to the generation of the thematic map of the Curve Number (CN)ublished by the National Water Authority, was achieved.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-05-18T09:30:29Z
dc.date.available.none.fl_str_mv 2024-05-18T09:30:29Z
dc.date.issued.fl_str_mv 2024-01-31
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.issn.none.fl_str_mv 0094243X
dc.identifier.doi.none.fl_str_mv 10.1063/5.0194327
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/673574
dc.identifier.eissn.none.fl_str_mv 15517616
dc.identifier.journal.es_PE.fl_str_mv AIP Conference Proceedings
dc.identifier.eid.none.fl_str_mv 2-s2.0-85184597706
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85184597706
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 0094243X
10.1063/5.0194327
15517616
AIP Conference Proceedings
2-s2.0-85184597706
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url http://hdl.handle.net/10757/673574
dc.language.iso.es_PE.fl_str_mv eng
language eng
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/embargoedAccess
eu_rights_str_mv embargoedAccess
dc.format.es_PE.fl_str_mv application/html
dc.publisher.es_PE.fl_str_mv American Institute of Physics Inc.
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
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dc.source.journaltitle.none.fl_str_mv AIP Conference Proceedings
dc.source.volume.none.fl_str_mv 3010
dc.source.issue.none.fl_str_mv 1
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spelling a989e7804b543565fdd9adee9a2f911d30023b7e2edda115cdf68bcedd6159dcfa4Mollo, Samuel NuñoncaGutierrez, Ruben Esau Mogrovejo2024-05-18T09:30:29Z2024-05-18T09:30:29Z2024-01-310094243X10.1063/5.0194327http://hdl.handle.net/10757/67357415517616AIP Conference Proceedings2-s2.0-85184597706SCOPUS_ID:851845977060000 0001 2196 144XRecently there are models that study the hydrological behavior in the land cover of the hydrographic basins. For this reason, it is essential to understand the hydrological impact on land cover, which will serve for the management of watersheds. The study analyzed the changes in plant cover for the periods between 1985 and 2015, where plant covers such as Tolar, Wetlands, Puna grassland, Andean grasslands, and Yaretales were identified. Therefore, it was shown that there are losses of soil covers such as wetlands at 2.39%, Puna grassland at 1.71%, and Andean grassland at 4.77%. In addition, in this research, the semi-distributed model of Soil and Water Assessment (SWAT) was applied to study the impact of land use and land cover change (LULC) on the basin's water balance under study. The model was calibrated from (1981-1992), with the flow data observed. The result indicates that the most sensitive parameters are those that regulate the surface response (CN2, SOL_AWC) and the subsurface response (GWQMN). The hydrological simulation with vegetation cover maps for the years 1985 and 2015 showed high runoff in Urban areas, Puna grassland, and Puna grassland. Finally, to validate the results, the comparison of the Number Curve elaborated on a national scale was carried out, this parameter is very important in the hydrological models of precipitation and runoff. In the simulation, NCs similar to the generation of the thematic map of the Curve Number (CN)ublished by the National Water Authority, was achieved.ODS 6: Agua limpia y saneamientoODS 13: Acción por el climaODS 15: Vida de ecosistemas terrestresapplication/htmlengAmerican Institute of Physics Inc.info:eu-repo/semantics/embargoedAccessLand CoverNumber CurveSWAT modelWater balanceWater resourcesHydrological modeling in land cover - Upstream angostura dam with the use of satellite datainfo:eu-repo/semantics/articleAIP Conference Proceedings30101reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCLICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/673574/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/673574oai:repositorioacademico.upc.edu.pe:10757/6735742024-07-23 19:05:54.437Repositorio académico upcupc@openrepository.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