TY - GEN
T1 - Aplicación del modelo hidrológico GR4j para la estimación de caudales diarios utilizando conjunto de datos grillados ERA5 en la cuenca del río Zaña hasta la estación hidrométrica Batan
AU - Alejandra, Arias Reátegui Gabriela
AU - Joseline, Bazalar Delgado Alessandra
AU - Neicer, Campos Vasquez
AU - Abel, Carmona Arteaga
N1 - Publisher Copyright:
© 2022 Latin American and Caribbean Consortium of Engineering Institutions. All rights reserved.
PY - 2022
Y1 - 2022
N2 - The objective of this research is to simulate daily flows using the GR4J hydrological model applied to a sub-basin of the Zaña river delimited from the Batan hydrometric station. On the one hand, flow information was collected at the daily level of the conventional station between 2015-2020, which was used for the calibration of the model. On the other hand, daily flow information was obtained between the period 2000-2015 for the validation of the same. Precipitation and average temperature information was also extracted using the ERA5 gridded data set generated by the climate changed service of the COPERNICUS satellite of the European space agency, through the Google Earth Engine platform. The results were analyzed using the Nash coefficient and the determination coefficient (R2) as efficiency criteria. Finally, based on the results obtained in the calibration and validation, it is stated that the hydrological model GR4J presents a good performance in the estimation of daily average flows.
AB - The objective of this research is to simulate daily flows using the GR4J hydrological model applied to a sub-basin of the Zaña river delimited from the Batan hydrometric station. On the one hand, flow information was collected at the daily level of the conventional station between 2015-2020, which was used for the calibration of the model. On the other hand, daily flow information was obtained between the period 2000-2015 for the validation of the same. Precipitation and average temperature information was also extracted using the ERA5 gridded data set generated by the climate changed service of the COPERNICUS satellite of the European space agency, through the Google Earth Engine platform. The results were analyzed using the Nash coefficient and the determination coefficient (R2) as efficiency criteria. Finally, based on the results obtained in the calibration and validation, it is stated that the hydrological model GR4J presents a good performance in the estimation of daily average flows.
KW - ERA5
KW - Google Earth Engine
KW - Precipitation
KW - flow
KW - hydrological model GR4j
KW - temperature
UR - https://www.scopus.com/pages/publications/85140020715
U2 - 10.18687/LACCEI2022.1.1.175
DO - 10.18687/LACCEI2022.1.1.175
M3 - Contribución a la conferencia
AN - SCOPUS:85140020715
T3 - Proceedings of the LACCEI international Multi-conference for Engineering, Education and Technology
BT - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology
A2 - Larrondo Petrie, Maria M.
A2 - Texier, Jose
A2 - Pena, Andrea
A2 - Viloria, Jose Angel Sanchez
T2 - 20th LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology, LACCEI 2022
Y2 - 18 July 2022 through 22 July 2022
ER -