dor_id: 4132757

506.#.#.a: Público

590.#.#.d: Los artículos enviados a la revista "Geofísica Internacional", se juzgan por medio de un proceso de revisión por pares

510.0.#.a: Consejo Nacional de Ciencia y Tecnología (CONACyT); Scientific Electronic Library Online (SciELO); SCOPUS, Dialnet, Directory of Open Access Journals (DOAJ); Geobase

561.#.#.u: https://www.geofisica.unam.mx/

650.#.4.x: Físico Matemáticas y Ciencias de la Tierra

336.#.#.b: article

336.#.#.3: Artículo de Investigación

336.#.#.a: Artículo

351.#.#.6: http://revistagi.geofisica.unam.mx/index.php/RGI

351.#.#.b: Geofísica Internacional

351.#.#.a: Artículos

harvesting_group: RevistasUNAM

270.1.#.p: Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

590.#.#.c: Open Journal Systems (OJS)

270.#.#.d: MX

270.1.#.d: México

590.#.#.b: Concentrador

883.#.#.u: https://revistas.unam.mx/catalogo/

883.#.#.a: Revistas UNAM

590.#.#.a: Coordinación de Difusión Cultural

883.#.#.1: https://www.publicaciones.unam.mx/

883.#.#.q: Dirección General de Publicaciones y Fomento Editorial

850.#.#.a: Universidad Nacional Autónoma de México

856.4.0.u: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1243/1218

100.1.#.a: Sousa Oliveira, Adriana Paulo De; Ribeiro Gracelli, Rafaela; Amaral E Silva, Arthur; Juste Dos Santos, Vitor; Siqueira Castro, Jackeline De; Calijuri, Maria Lúcia

524.#.#.a: Sousa Oliveira, Adriana Paulo De, et al. (2022). Projection of land use to. Geofísica Internacional; Vol. 61 Núm. 1: Enero 1, 2022; 66-87. Recuperado de https://repositorio.unam.mx/contenidos/4132757

245.1.0.a: Projection of land use to

502.#.#.c: Universidad Nacional Autónoma de México

561.1.#.a: Instituto de Geofísica, UNAM

264.#.0.c: 2022

264.#.1.c: 2022-01-01

653.#.#.a: Modelamiento de cambio de tierras; Flujo de predicción; Modelamiento de cuencas hidrográficas; Recursos hídricos; Land chage modeler; Projection flow; Watershed modelling and water resources

506.1.#.a: La titularidad de los derechos patrimoniales de esta obra pertenece a las instituciones editoras. Su uso se rige por una licencia Creative Commons BY-NC-SA 4.0 Internacional, https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es, para un uso diferente consultar al responsable jurídico del repositorio por medio del correo electrónico revistagi@igeofisica.unam.mx

884.#.#.k: http://revistagi.geofisica.unam.mx/index.php/RGI/article/view/1243

001.#.#.#: 063.oai:revistagi.geofisica.unam.mx:article/1243

041.#.7.h: spa

520.3.#.a: Changes in land use and land cover (LULC) can result in significant changes in a hydrographic ba-sin flow regime. Future projections about LULC and its interference with water availability help to identify extreme events in advance and help propose appropriate management measures. Thus, this study aimed to make the LULC projection for the year 2030 for the Alto Rio Grande (ARG) sub-basin, located in Southeastern Brazil. This region was chosen because of its intense water resources use and for having recently faced water scarcity as result of prolonged droughts and inadequate water resources management. To identify the LULC trend for the year 2030, the Land Change Modeler (LCM) was used, the map obtained was inserted in the Soil and Water Assessment Tool (SWAT) model previously calibrated and validated for the region’ environmental and climatic conditions. The ARG sub-basin was affected by heavy rains in 2011, which resulted in changes in the landscape due to landslides. This particularity of the region contributed to the projection of LULC for the year 2030 to present an increase in forest and pastures to the agricultural areas detriment. When evaluating the impacts of these changes in water availability, it was observed that the SWAT model presented, for the same rainfall conditions, a reduction in peak streamflows of up to 59% and a reduction in the average monthly flow of up to 63% in 2030 in relation to the LULC observed in 2017. Thus, this study provides an important contribution by identifying a considerable reduction in water availability. These results will help to formulate strategies for water resources management and the adoption of measures to promote water security in the region.doi: https://doi.org/10.22201/igeof.00167169p.2022.61.1.2189

773.1.#.t: Geofísica Internacional; Vol. 61 Núm. 1: Enero 1, 2022; 66-87

773.1.#.o: http://revistagi.geofisica.unam.mx/index.php/RGI

022.#.#.a: ISSN-L: 2954-436X; ISSN impreso: 0016-7169

310.#.#.a: Trimestral

300.#.#.a: Páginas: 66-87

264.#.1.b: Instituto de Geofísica, UNAM

doi: https://doi.org/10.22201/igeof.00167169p.2022.61.1.2189

handle: 00c41804ac9e59e4

harvesting_date: 2023-06-20 16:00:00.0

856.#.0.q: application/pdf

file_creation_date: 2022-01-12 20:41:31.0

file_modification_date: 2022-07-28 20:43:07.0

file_creator: Adriana Paulo de Sousa Oliveira

file_name: e5b6cf9b02c02c8d37d7f231ff8972f483e1b3bd59176415d1364242c6a80b5b.pdf

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245.1.0.b: Projection of land use to 2030 and its impacts on water availability in a brazilian sub-basin: A LCM and SWAT approach

last_modified: 2023-06-20 16:00:00

license_url: https://creativecommons.org/licenses/by-nc-sa/4.0/legalcode.es

license_type: by-nc-sa

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Artículo

Projection of land use to

Sousa Oliveira, Adriana Paulo De; Ribeiro Gracelli, Rafaela; Amaral E Silva, Arthur; Juste Dos Santos, Vitor; Siqueira Castro, Jackeline De; Calijuri, Maria Lúcia

Instituto de Geofísica, UNAM, publicado en Geofísica Internacional, y cosechado de Revistas UNAM

Licencia de uso

Procedencia del contenido

Entidad o dependencia
Instituto de Geofísica, UNAM
Revista
Repositorio
Contacto
Revistas UNAM. Dirección General de Publicaciones y Fomento Editorial, UNAM en revistas@unam.mx

Cita

Sousa Oliveira, Adriana Paulo De, et al. (2022). Projection of land use to. Geofísica Internacional; Vol. 61 Núm. 1: Enero 1, 2022; 66-87. Recuperado de https://repositorio.unam.mx/contenidos/4132757

Descripción del recurso

Autor(es)
Sousa Oliveira, Adriana Paulo De; Ribeiro Gracelli, Rafaela; Amaral E Silva, Arthur; Juste Dos Santos, Vitor; Siqueira Castro, Jackeline De; Calijuri, Maria Lúcia
Tipo
Artículo de Investigación
Área del conocimiento
Físico Matemáticas y Ciencias de la Tierra
Título
Projection of land use to
Fecha
2022-01-01
Resumen
Changes in land use and land cover (LULC) can result in significant changes in a hydrographic ba-sin flow regime. Future projections about LULC and its interference with water availability help to identify extreme events in advance and help propose appropriate management measures. Thus, this study aimed to make the LULC projection for the year 2030 for the Alto Rio Grande (ARG) sub-basin, located in Southeastern Brazil. This region was chosen because of its intense water resources use and for having recently faced water scarcity as result of prolonged droughts and inadequate water resources management. To identify the LULC trend for the year 2030, the Land Change Modeler (LCM) was used, the map obtained was inserted in the Soil and Water Assessment Tool (SWAT) model previously calibrated and validated for the region’ environmental and climatic conditions. The ARG sub-basin was affected by heavy rains in 2011, which resulted in changes in the landscape due to landslides. This particularity of the region contributed to the projection of LULC for the year 2030 to present an increase in forest and pastures to the agricultural areas detriment. When evaluating the impacts of these changes in water availability, it was observed that the SWAT model presented, for the same rainfall conditions, a reduction in peak streamflows of up to 59% and a reduction in the average monthly flow of up to 63% in 2030 in relation to the LULC observed in 2017. Thus, this study provides an important contribution by identifying a considerable reduction in water availability. These results will help to formulate strategies for water resources management and the adoption of measures to promote water security in the region.doi: https://doi.org/10.22201/igeof.00167169p.2022.61.1.2189
Tema
Modelamiento de cambio de tierras; Flujo de predicción; Modelamiento de cuencas hidrográficas; Recursos hídricos; Land chage modeler; Projection flow; Watershed modelling and water resources
Idioma
spa
ISSN
ISSN-L: 2954-436X; ISSN impreso: 0016-7169

Enlaces