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DC Field | Value | Language |
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dc.contributor.author | Samaniego Alvarado, Esteban Patricio | |
dc.contributor.author | Alvarado Martinez, Andres Omar | |
dc.contributor.author | Sanchez Cordero, Esteban Remigio | |
dc.contributor.author | Cedillo Galarza, Juan Sebastian | |
dc.date.accessioned | 2023-01-24T13:42:13Z | - |
dc.date.available | 2023-01-24T13:42:13Z | - |
dc.date.issued | 2022 | |
dc.identifier.isbn | 978-981164125-1 | |
dc.identifier.issn | 2190-3018 | |
dc.identifier.uri | http://dspace.ucuenca.edu.ec/handle/123456789/40840 | - |
dc.identifier.uri | https://www.scopus.com/record/display.uri?eid=2-s2.0-85116821737&doi=10.1007%2f978-981-16-4126-8_26&origin=inward&txGid=e47e810becd74b1d755f2c4f7cf4be6c | |
dc.description.abstract | Physical laws governing a certain phenomenon can be included in a deep-learning model within a new paradigm: the so-called physical informed deep learning (PIDL). Physical laws in hydraulics consist of partial differential equations (PDEs) resulting from balance laws. The potential use of PIDL in a step-pool reach having a complex flow and geometric characteristics is tested in this article. The studied morphology belongs to a hydraulic observatory in a mountain river in Ecuador where flow and geometric data are available. The water level profile of PIDL was compared to a stationary one-dimensional HEC-RAS model and water levels measured at three staff gauges in the reach. Saint–Venant equations, geometry data, and boundary conditions were used to implement a PIDL-based model. The chosen PIDL architecture is based on the one with the lowest value for the loss function. The resulting water level profile of the PIDL model does not have instabilities, and according to dimensionless RMSE is slightly less efficient in its predictions than the HEC RAS model. Moreover, the difference between HEC-RAS and PIDL water profile decreases as flow increases | |
dc.language.iso | es_ES | |
dc.publisher | Springer Science and Business Media Deutschland GmbH | |
dc.source | Smart Innovation, Systems and Technologies | |
dc.subject | Field data | |
dc.subject | Physics Informed Deep-Learning | |
dc.subject | Step-pool | |
dc.subject | Mountain River | |
dc.title | Exploratory study of physic informed deep learning applied to a step-pool for different flow magnitudes | |
dc.type | ARTÍCULO DE CONFERENCIA | |
dc.description.city | Guayaquil | |
dc.ucuenca.idautor | 0104057351 | |
dc.ucuenca.idautor | 0102246477 | |
dc.ucuenca.idautor | 0103665634 | |
dc.ucuenca.idautor | 0102052594 | |
dc.identifier.doi | 10.1007/978-981-16-4126-8_26 | |
dc.ucuenca.version | Versión publicada | |
dc.ucuenca.areaconocimientounescoamplio | 05 - Ciencias Físicas, Ciencias Naturales, Matemáticas y Estadísticas | |
dc.ucuenca.afiliacion | Alvarado, A., Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador; Alvarado, A., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador | |
dc.ucuenca.afiliacion | Sanchez, E., Universidad de Cuenca, Departamento de Ingeniería Civil, Cuenca, Ecuador | |
dc.ucuenca.afiliacion | Samaniego, E., Universidad de Cuenca, Facultad de Ingeniería, Cuenca, Ecuador; Samaniego, E., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador | |
dc.ucuenca.afiliacion | Cedillo, J., Universidad de Cuenca, Departamento de Recursos Hídricos y Ciencias Ambientales, Cuenca, Ecuador | |
dc.ucuenca.correspondencia | Cedillo Galarza, Juan Sebastian, sebastian.cedillog@ucuenca.edu.ec | |
dc.ucuenca.volumen | Volumen 252 | |
dc.ucuenca.indicebibliografico | SCOPUS | |
dc.ucuenca.factorimpacto | 0.22 | |
dc.ucuenca.cuartil | Q3 | |
dc.ucuenca.numerocitaciones | 0 | |
dc.ucuenca.areaconocimientofrascatiamplio | 1. Ciencias Naturales y Exactas | |
dc.ucuenca.pais | ECUADOR | |
dc.ucuenca.conferencia | 7th International Conference on Science, Technology and Innovation for Society, CITIS 2021 | |
dc.ucuenca.areaconocimientofrascatiespecifico | 1.5 Ciencias de la Tierra y el Ambiente | |
dc.ucuenca.areaconocimientofrascatidetallado | 1.5.10 Recursos Hídricos | |
dc.ucuenca.areaconocimientounescoespecifico | 052 - Medio Ambiente | |
dc.ucuenca.areaconocimientounescodetallado | 0521 - Ciencias Ambientales | |
dc.ucuenca.fechainicioconferencia | 2021-05-26 | |
dc.ucuenca.fechafinconferencia | 2021-05-28 | |
dc.ucuenca.organizadorconferencia | Universidad Politécnica Salesiana, Ecuador | |
dc.ucuenca.comiteorganizadorconferencia | Universidad Politécnica Salesiana, Ecuador | |
dc.ucuenca.urifuente | https://www.springer.com/series/8767 | |
Appears in Collections: | Artículos |
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