Regionalization of maximum flows through multivariate statistical techniques in basins of the province of Entre Ríos
DOI:
https://doi.org/10.59069/24225703ee002Keywords:
maximum flow, multiple correlation, basin, regionalizationAbstract
Entre Ríos province has a large number of basins that nourish its characteristic water network. It is integrated by various channels from small streams to large flow rivers. However, at present, there is little observed hydrometric information.
For the design of a hydraulic work, it is essential to define the design flow. In watercourses where gauging stations are not available, hydrological models must be used to estimate peak flows, but the accuracy of their results will be uncertain if there is no data on observed events for their calibration.
One possibility to reduce the uncertainty in flow estimation in ungauged basins is to resort to regionalization techniques. This term is used to describe the transfer of information from one site to another within an area of similar hydrological behavior. (Tucci, 2002).
This work of regionalization of maximum flows was based on the application of statistical techniques of multivariate analysis that allow defining equations to determine flows in the different basins of the province of Entre Ríos. This work was based on the application of regionalization and multiple correlation techniques that allow defining equations to determine flows in the different courses of the province of Entre Ríos. For this purpose, the information available from gauging stations that had flow records measured for more than twenty years was used. In addition, the information base was expanded by incorporating maximum flows from different sub-basins obtained through calibrated hydrological models belonging to the Feliciano stream and Gualeguaychú river basins.
Using the aforementioned techniques, first, hydrologically homogeneous basin and sub-basin regions were determined, and then the physical and hydrological parameters that best correlated with flow. Finally, equations were developed to estimate flow rates for different recurrences for each of the regions as a function of these parameters.
References
Andrews, D. F. (1972). Plots of high-dimensional data. Biometrics, 28(1), 125–136. https://doi.org/10.2307/2528964
Bellman, R. (1957). Functional equations in the Theory of Dynamic Programming--VI, a direct convergence proof. Annals of Mathematics, 65(2), 215–223. https://doi.org/10.2307/1969958
Bidegorry, M., Kohan, T. y Russian, F. (2021). Regionalización de cuencas del arroyo Feliciano para estimación de caudales máximos. Proyecto final de grado. Facultad Regional Paraná, Universidad Tecnológica Nacional. https://ria.utn.edu.ar/handle/20.500.12272/5839
Bonomi, R., Collante Wojcicki, M., Gimenez, V. y Margheim, J. (2017). Estudio de tormentas de diseño en las cuencas del arroyo Feliciano y río Gualeguaychú de la provincia de Entre Ríos. Proyecto final de grado. Facultad Regional Paraná, Universidad Tecnológica Nacional.
Cohen, J. (1988). Statistical power analysis for the behavioral sciences. (2a ed.). Lawrence Erlbaum Associates.
Devore, J. L. (2010). Probabilidad y estadística para ingeniería y ciencias. (7a ed.). Cengage Learning Editores.
Grilli, R., Kessler, D. y Sturtz, E. (2021). Regionalización de caudales máximos en la cuenca del río Gualeguaychú. Proyecto final de grado. Facultad Regional Paraná, Universidad Tecnológica Nacional.
López, P. V., Sato, R., Mastaglia, M. I., Cattaneo, N., Masola, R., Giménez, V., Collante Wojcicki, M. D., Bruno, S. M., Margasin, A. D., Morley, S. A., Erbetta, A., Graziadio, V. y Villanueva, G. (2020). Estudio de tormentas de diseño en cuencas extensas de la provincia de Entre Ríos. (1a ed.). edUTecNe. https://ria.utn.edu.ar/handle/20.500.12272/4479?show=full
Meneses, J. (2019). Introducción al análisis multivariante. Fundación para la Universitat Oberta de Catalunya. https://femrecerca.cat/meneses/publication/introduccion-analisis-multivariante/
Pisani, R. y Purves, R. (2007). Statistics. (4a ed.). W. W. Norton & Company.
Sato, R. A. (2016). Modificaciones en el riesgo de inundación fluvial debido al desarrollo urbano junto a ríos de llanura. Estudio de caso: la ciudad de Gualeguaychú. Tesis de Maestría. Facultad de Ingeniería y Ciencias Hídricas, Universidad Nacional del Litoral.http://hdl.handle.net/11185/834
Silva, C. (2013). Representación gráfica de información multivariante: aplicación al sistema de salud de Chile (2010). Revista Chilena de Salud Pública, 17(2), 117. https://doi.org/10.5354/0719-5281.2013.27126
Tucci, C. E. M. (2002). Regionalização de Vazões. Agência Nacional de Energia Elétrica - ANEEL - IPH – UFRGS.
Zucarelli, G. (2017). Regionalización hidrológica con métodos estadísticos multivariados. Tesis doctoral. Programa Oficial de Doctorado en Ciencia y Tecnología Ambiental, Universidade da Coruña. http://hdl.handle.net/2183/19463
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