Project: AI-powered Forecast for Harmful Algal Blooms

Acronym AIHABs (Reference Number: ID 411)
Duration 01/09/2021 - 31/08/2024
Project Topic AIHABs is a multidisciplinary innovative initiative aimed at developing an integrated evaluation system to forecast the risk derived from the presence of emerging cyanotoxins in inland and coastal ecosystems. The innovation of this proposal resides at merging tools as last generation Artificial Intelligence (AI), remote sensing, nanosensors, hydrodynamic modelling and massive genetic sequencing with the joint purpose of providing an early warning system to decision making authorities in terms of risk to the population. The predicting modelling effort will allow a timely action to minimize the risks of consuming surface waters or using them as recreational resources when the waterbodies are prone to produce toxic cyanobacterial blooms.
Project Results
(after finalisation)
1. AI-based software for forecasting water quality in inland and coastal water bodies, using as input a wide range of multi-modal data: satellite imaging, in-situ sensors, meteorological data, N/P source mapping, coastal hydrodynamical models, river hydraulics, etc. 2. Calibration, training and validation methodologies to find correlations between the results of the microbiological analysis in the lab and the output of the AI-based predictive model. 3. Computer vision algorithms based on deep learning that can detect and locate algae accurately in water bodies, irrespective of the variations in camera parameters, environmental conditions, orientation of the captured image or the presence of significant background clutter in the form of trees, vegetation, buildings etc. 4. Deployment of 2 pilot site(s), on the coast and one in a reservoir, for validating the effectivity and efficiency of the monitoring and forecasting subsystems.
Network AquaticPollutants
Call 1st AquaticPollutants Joint Call 2020

Project partner

Number Name Role Country
1 Technological University Dublin Coordinator Ireland
2 Norwegian University of Science and Technology Partner Norway
3 Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences Partner Germany
4 University of South Bohemia in České Partner Czech Republic
5 International Iberian Nanotechnology Laboratory - INL Partner Portugal
6 Universidad Autónoma de Madrid Partner Spain
7 University of Santiago de Compostela Partner Spain