TY - JOUR
T1 - Generation of Daily and Monthly Flows Using the GR4j Method with ERA5 Grilled Data in the Cañete River Basin to the Putinza Hydrometric Station
AU - Infante Quispe, Edgar Manuel
AU - Gutiérrez Buitrón, Gianfranco Massimo
AU - Arteaga, Abel Carmona
AU - Manturano Chipana, Rubén Kevin
N1 - Publisher Copyright:
© 2023 by SCITEPRESS – Science and Technology Publications, Lda.
PY - 2023
Y1 - 2023
N2 - The research is carried out in a sub-basin of the Cañete River, delimited from the Putinza hydrometric station, with the aim of being able to generate the flows at a daily and monthly rate during a period of 39 years (1980- 2019) and determine the approximate values of maximum flows in the periods that the El Niño phenomenon existed in the aforementioned basin, the methodology used was the GR4j method. On the one hand, the ERA5 grid data belonging to the European Space Agency Satellite was used, using Google Earth Engine (GEE) from which precipitation and average temperature information was extracted. Likewise, from the National Water System (ANA), information was extracted on daily flows from the Putinza hydrometric station between the period 2014-2017, which was used for the calibration and validation of the model. The analysis of results was carried out taking into account the Nash coefficient and the coefficient of determination R2 as efficiency criteria. Finally, the results obtained in the calibration and validation are satisfactory, which indicates that there is a good performance.
AB - The research is carried out in a sub-basin of the Cañete River, delimited from the Putinza hydrometric station, with the aim of being able to generate the flows at a daily and monthly rate during a period of 39 years (1980- 2019) and determine the approximate values of maximum flows in the periods that the El Niño phenomenon existed in the aforementioned basin, the methodology used was the GR4j method. On the one hand, the ERA5 grid data belonging to the European Space Agency Satellite was used, using Google Earth Engine (GEE) from which precipitation and average temperature information was extracted. Likewise, from the National Water System (ANA), information was extracted on daily flows from the Putinza hydrometric station between the period 2014-2017, which was used for the calibration and validation of the model. The analysis of results was carried out taking into account the Nash coefficient and the coefficient of determination R2 as efficiency criteria. Finally, the results obtained in the calibration and validation are satisfactory, which indicates that there is a good performance.
KW - Cañete Basin
KW - GR4j Hydrological Model
KW - Google Earth Engine
KW - Putinza
UR - http://www.scopus.com/inward/record.url?scp=85184961704&partnerID=8YFLogxK
U2 - 10.5220/0011648100003393
DO - 10.5220/0011648100003393
M3 - Conference article
AN - SCOPUS:85184961704
SN - 2184-3589
VL - 3
SP - 252
EP - 259
JO - International Conference on Agents and Artificial Intelligence
JF - International Conference on Agents and Artificial Intelligence
T2 - 15th International Conference on Agents and Artificial Intelligence, ICAART 2023
Y2 - 22 February 2023 through 24 February 2023
ER -