Hydrological variability not only affects the passage through fishways but also influences the permeability of obstacles. In this paper, we explore the possible impact of flat-V gauging stations to fish passage and migration. For this, radio-tracking and video monitoring observations were combined with computational fluid dynamics (CFD) models and sensor data in two flat-V weirs, using Iberian barbel (Luciobarbus bocagei) as target species. Results show that fish passage is conditioned by both hydraulic and behavioral processes, providing evidences about the hydrological scenarios where flat-V weirs may act as full or partial barriers to upstream movements. These findings are of interest to quantify flat-V weir impacts, for engineering applications and to establish managing or retrofitting actions when required.

Sanz-Ronda, F. J., Bravo-Córdoba, F. J., García-Vega, A.,Valbuena-Castro, J., Martínez de Azagra-Paredes, A., & Fuentes-Pérez, J. F.(2021). Fish Upstream Passage Through Gauging Stations. Experiences With Iberian Barbel in Flat-V Weirs. Fhises 2021, 6, 81. DOI: 10.3390/fishes6040081


This paper explores the use of hydraulic monitoring on fishways to detect the need for maintenance in stepped fishways. For this, a novel low-cost sensor network that encapsulates fishways hydraulics in a neural network is developed, generating the first autonomous obstruction/malfunction detection system for stepped fishways. The system is based on a network of custom-made ultrasonic water level nodes that transmit data and alarms remotely and in real-time. Its performance was assessed in a field study case as well as offline, considering the influence of the number of sensing nodes and obstruction dimensions. Results show that the proposed system can detect malfunctions and that allows monitoring of the hydraulic performance of the fishway. Consequently, it optimizes the timing of maintenance on fishways and, thus, has the potential of automatizing and reducing the cost of these operations as well as augmenting the service of these structures. Therefore, this novel tool is a step forward to achieve smart fishway management and to increase their operability.

Fuentes-Pérez, J. F.,García-Vega, A., Bravo-Córdoba, F. J., & Sanz-Ronda, F. J. (2021). A Step to Smart Fishways: An Autonomous Obstruction Detection System Using Hydraulic Modeling and Sensor Networks. Sensors 2021, 21(20), 6909. DOI: 10.3390/s21206909



WP0: Data Management
WP1: WLN sensor network development
WP2: Installation of the WLN
WP3: Development of a fish counter and environmental variables logger
WP4: Smart Fishways
WP5: Dissemination and Explotation
WP6: Project Management

The Data Management Plan describes the data management life cycle for all data sets that will be collected, processed or generated by Smart Fishway. It is a document describing what data will be collected, processed or generated and following what methodology and standards, whether and how this data will be shared and/or made open, and how it will be curated and preserved. It is a living document that will be periodically updated.

  Last update: 01.12.2021

The "Water level monitoring sensor network" deliverable contains a detailed description of the developed sensor network to capture the hydraulic behaviour of stepped fishways to assess their performance under different hydrological scenarios.

  Uploaded: 01.12.2021

This first deliverable of "Webpage and Social media" contains a detailed description of the webpage architecture, which is a window for the general audience and stakeholders as well as a server to storage and real-time visualization of all collected data in field and main outcomes of the project.

In addition, this and succesive deliverables of the WP5 summarize all the social media interactions and dissemination activities.

  Uploaded: 01.12.2021