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
Descripción
Sumario: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.
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