Under uniform and non-uniform flow conditions, the most employed velocity scale in OCFs is the shear velocity. In non-uniform flow conditions with sediment transport, the log-law velocity distribution could be absent, so it is not possible to apply the conventional methods to compute the shear velocity. This work aims to define a way to compute the best value of velocity scale in non-uniform flows with different sediment transport under the absence of the log-law velocity distribution. Laboratory tests were performed by using a PIV system to measure the time and space velocity vectors, the total shear stress profiles were computed through the momentum balance analysis and the co-spectrum of the velocity fluctuation to define different values of the velocity scale factor. To determine which of the different values gives the better scaling of the velocity profiles, a comparison of the non-dimensional velocity profiles was done by showing that the value at the crest level from a linear regression of the shear stress profile, obtained with the momentum balance analysis, is the best velocity scale value.

Contexto: El presente trabajo tiene como objetivo la elaboración de un sistema de medición y monitoreo de caudal y tirante para el Laboratorio Piloto de Hidráulica de la Facultad de Ciencias Matemáticas y Física de la Universidad de Guayaquil, que permita mostrar caudal y tirante en tiempo real además de almacenarlos en un servidor IoT (internet de las cosas). Método: Con el uso del microcontrolador Arduino, un sensor de presión diferencial MPX 5500 y sensores ultrasónicos HC-SR04 para las mediciones según las variaciones de las características del flujo. Resultados: La plataforma IoT permite a docentes y alumnos analizar los datos receptados por cada uno de los sensores en tiempo real durante las prácticas de hidráulica en el canal. Conclusiones: El diseño del prototipo se realizó con componente y software open-source. La calibración de los sensores se efectuó con datos empíricos y practicas realizadas en el laboratorio proporcionados por docentes de la Carrera de Ingeniería Civil.

The Chilintomo irrigation system serves an area of 2000 ha and has been in operation since the 1970s. The diversion structure worked with a dam with planks, which were placed when the winter season ended to take advantage of the low water flows. In 2016 the structure was "repowered" by implementing a 3 m concrete dam; however, this has caused problems with flooding upstream of it. This research aims to cover the use of inflatable dams in agriculture, analyzing the case study of the Chilintomo River -Ecuador, which allows the free passage of maximum flows in the rainy season and in turn allows controlling the levels in the channel in dry season, The methodological process contemplated the collection of meteorological and cartographic data, information processing, modeling and design proposal, in order to establish a runoff rain model using HEC -HMS, analysis and results of the hydraulic model with two scenarios of the inflatable gate. The results obtained from the modeling show that the structure allows to mitigate the floods that produce the maximum flows for the low return periods, and in dry season it will be able to divert the flows towards the irrigation channels of the system. The implementation of agri-food systems is part of the 17 Sustainable Development Goals (SDG) (1, 2, 9, 15, 16 and 17), proposed by the United Nations (UN) in 2015.