Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model
Descripción del Articulo
The watershed hydrologic conditions in the Madre de Dios (MDD) Basin in the Peruvian Amazon have been irreversibly impacted by deforestation and changes in land cover. These changes have also had detrimental effects on the geomorphology, water quality, and aquatic habitat within the basin. However,...
Autores: | , , , , , |
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Formato: | artículo |
Fecha de Publicación: | 2023 |
Institución: | Servicio Nacional de Meteorología e Hidrología del Perú |
Repositorio: | SENAMHI-Institucional |
Lenguaje: | inglés |
OAI Identifier: | oai:repositorio.senamhi.gob.pe:20.500.12542/3070 |
Enlace del recurso: | https://hdl.handle.net/20.500.12542/3070 https://doi.org/10.3390/rs15245774 |
Nivel de acceso: | acceso abierto |
Materia: | Deforestation Amazonia Escorrentía https://purl.org/pe-repo/ocde/ford#1.05.11 superficie deforestada - Biodiversidad y Ecosistemas |
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dc.title.es_PE.fl_str_mv |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
title |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
spellingShingle |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model Paiva, Karla Deforestation Amazonia Escorrentía https://purl.org/pe-repo/ocde/ford#1.05.11 superficie deforestada - Biodiversidad y Ecosistemas |
title_short |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
title_full |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
title_fullStr |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
title_full_unstemmed |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
title_sort |
Hydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Model |
author |
Paiva, Karla |
author_facet |
Paiva, Karla Rau, Pedro Montesinos, Cristian Lavado-Casimiro, W. Bourrel, Luc Frappart, Frédéric |
author_role |
author |
author2 |
Rau, Pedro Montesinos, Cristian Lavado-Casimiro, W. Bourrel, Luc Frappart, Frédéric |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Paiva, Karla Rau, Pedro Montesinos, Cristian Lavado-Casimiro, W. Bourrel, Luc Frappart, Frédéric |
dc.subject.es_PE.fl_str_mv |
Deforestation Amazonia Escorrentía |
topic |
Deforestation Amazonia Escorrentía https://purl.org/pe-repo/ocde/ford#1.05.11 superficie deforestada - Biodiversidad y Ecosistemas |
dc.subject.ocde.es_PE.fl_str_mv |
https://purl.org/pe-repo/ocde/ford#1.05.11 |
dc.subject.sinia.es_PE.fl_str_mv |
superficie deforestada - Biodiversidad y Ecosistemas |
description |
The watershed hydrologic conditions in the Madre de Dios (MDD) Basin in the Peruvian Amazon have been irreversibly impacted by deforestation and changes in land cover. These changes have also had detrimental effects on the geomorphology, water quality, and aquatic habitat within the basin. However, there is a scarcity of hydrological modeling studies in this area, primarily due to the limited availability of hydrometeorological data. The primary objective of this study was to examine how deforestation impacts the hydrological conditions in the MDD Basin. By implementing the Soil and Water Assessment Tool (SWAT) model, this study determined that replacing 12% of the evergreen broadleaf forest area with bare land resulted in a significant increase in surface runoff, by 38% monthly, a 1% annual reduction of evapotranspiration, and an average monthly streamflow increase of 12%. Changes in spatial patterns reveal that the primary impacted watershed is the Inambari River subbasin, a significant tributary of the Madre de Dios River. This area experiences an annual average surge of 187% in surface runoff generation while witnessing an annual average reduction of 8% in evapotranspiration. These findings have important implications, as they can contribute to instances of flooding and extreme inundation events, which have already occurred in the MDD region. |
publishDate |
2023 |
dc.date.accessioned.none.fl_str_mv |
2024-01-10T22:44:28Z |
dc.date.available.none.fl_str_mv |
2024-01-10T22:44:28Z |
dc.date.issued.fl_str_mv |
2023 |
dc.type.es_PE.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.sinia.es_PE.fl_str_mv |
text/publicacion cientifica |
format |
article |
dc.identifier.uri.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/3070 |
dc.identifier.doi.none.fl_str_mv |
https://doi.org/10.3390/rs15245774 |
dc.identifier.journal.es_PE.fl_str_mv |
Remote Sensing |
dc.identifier.url.none.fl_str_mv |
https://hdl.handle.net/20.500.12542/3070 |
url |
https://hdl.handle.net/20.500.12542/3070 https://doi.org/10.3390/rs15245774 |
identifier_str_mv |
Remote Sensing |
dc.language.iso.es_PE.fl_str_mv |
eng |
language |
eng |
dc.rights.es_PE.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.es_PE.fl_str_mv |
application/pdf |
dc.publisher.es_PE.fl_str_mv |
MDPI |
dc.publisher.country.es_PE.fl_str_mv |
PE |
dc.source.es_PE.fl_str_mv |
Repositorio Institucional - SENAMHI Servicio Nacional de Meteorología e Hidrología del Perú |
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reponame:SENAMHI-Institucional instname:Servicio Nacional de Meteorología e Hidrología del Perú instacron:SENAMHI |
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Servicio Nacional de Meteorología e Hidrología del Perú |
instacron_str |
SENAMHI |
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SENAMHI |
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SENAMHI-Institucional |
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SENAMHI-Institucional |
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Paiva, KarlaRau, PedroMontesinos, CristianLavado-Casimiro, W.Bourrel, LucFrappart, Frédéric2024-01-10T22:44:28Z2024-01-10T22:44:28Z2023https://hdl.handle.net/20.500.12542/3070https://doi.org/10.3390/rs15245774Remote Sensinghttps://hdl.handle.net/20.500.12542/3070The watershed hydrologic conditions in the Madre de Dios (MDD) Basin in the Peruvian Amazon have been irreversibly impacted by deforestation and changes in land cover. These changes have also had detrimental effects on the geomorphology, water quality, and aquatic habitat within the basin. However, there is a scarcity of hydrological modeling studies in this area, primarily due to the limited availability of hydrometeorological data. The primary objective of this study was to examine how deforestation impacts the hydrological conditions in the MDD Basin. By implementing the Soil and Water Assessment Tool (SWAT) model, this study determined that replacing 12% of the evergreen broadleaf forest area with bare land resulted in a significant increase in surface runoff, by 38% monthly, a 1% annual reduction of evapotranspiration, and an average monthly streamflow increase of 12%. Changes in spatial patterns reveal that the primary impacted watershed is the Inambari River subbasin, a significant tributary of the Madre de Dios River. This area experiences an annual average surge of 187% in surface runoff generation while witnessing an annual average reduction of 8% in evapotranspiration. These findings have important implications, as they can contribute to instances of flooding and extreme inundation events, which have already occurred in the MDD region.application/pdfengMDPIPEinfo:eu-repo/semantics/openAccessRepositorio Institucional - SENAMHIServicio Nacional de Meteorología e Hidrología del Perúreponame:SENAMHI-Institucionalinstname:Servicio Nacional de Meteorología e Hidrología del Perúinstacron:SENAMHIDeforestationAmazoniaEscorrentíahttps://purl.org/pe-repo/ocde/ford#1.05.11superficie deforestada - Biodiversidad y EcosistemasHydrological Response Assessment of Land Cover Change in a Peruvian Amazonian Basin Impacted by Deforestation Using the SWAT Modelinfo:eu-repo/semantics/articletext/publicacion cientificaORIGINALHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdfHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdfTexto Completoapplication/pdf20984988http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3070/1/Hydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdfbc1bef8e706389e96c5c1616837e4f47MD51LICENSElicense.txtlicense.txttext/plain; charset=utf-81748http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3070/2/license.txt8a4605be74aa9ea9d79846c1fba20a33MD52TEXTHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.txtHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.txtExtracted texttext/plain75752http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3070/3/Hydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.txt11db8947d82d8d4e8e117af7f519e2a5MD53THUMBNAILHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.jpgHydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.jpgGenerated Thumbnailimage/jpeg7199http://repositorio.senamhi.gob.pe/bitstream/20.500.12542/3070/4/Hydrological-Response-Assessment-of-Land-Cover-Change-in-Peruvian-Amazonian_2023.pdf.jpg921f6f81b5eeeaf108a360cb175cab5aMD5420.500.12542/3070oai:repositorio.senamhi.gob.pe:20.500.12542/30702024-01-10 18:08:06.041Repositorio Institucional SENAMHIrepositorio@senamhi.gob.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 |
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La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).