Project description
Advancing forecasting for harmful algae blooms
Harmful algal blooms (HABs) degrade water quality, prompting the EU Water Framework Directive to require monitoring programmes for at-risk water bodies. Traditional sampling methods often fail to provide clear guidance on how to proceed.. Supported by the Marie Skłodowska-Curie Actions programme, the SmartHAB project aims to improve HAB forecasting by developing advanced automatic high-frequency monitoring (AHFM) systems. The project will create microbial electrochemical sensors (MESs) to detect microbial interactions during HAB events, harnessing the role of microbial communities in HAB dynamics. It will also design low-cost, low-maintenance biosensors and a multi-module AHFM platform to collect extensive water quality data and apply machine learning and AI to correlate electrical fingerprints with HAB-related processes.
Objective
Harmful algal blooms (HABs) impair water quality and ecosystem health, therefore the EU Water Framework Directive requires water management authorities to establish comprehensive monitoring programs in water bodies at risk. Traditional hand-held sampling provides limited temporal and spatial resolution that generates large uncertainties for decision making and hinders responsiveness of contingency plans. The SmartHAB project will advance emerging automatic high-frequency monitoring (AHFM) systems to improve the forecasting of HABs through data-driven modeling and real-time decision making. Microbial electrochemical sensors (MESs) capable of detecting microbial interactions during HABs episodes will be developed. This novel approach exploits the overlooked role of microbial communities in the promotion and termination of HABs as forecasting model tool. The fellow will conduct a multidisciplinary methodology at Arizona State University (USA) to (i) design and develop low-cost and low-maintenance biosensors and characterize the interface between electroactive bacterial biofilms (EABs) and the electrode; (ii) design and develop a multimodule AHFM platform with biosensors to collect massive water quality data that, after processing through machine leaning/artificial intelligence (ML/AI) tools, will allow to correlate the electrical fingerprints with HAB-related processes; and (iii) understand the sensitivity of the biosensor to microbial community shifts. All this knowledge will be transferred to IMDEA Water (Spain-EU), where (iv) the ability of biosensors to identify specific events related to HABs will be enhanced by constructing tailored biofilms on electrodes through an innovative 3D-printing technique. Overall, this project will allow the fellow to gain experience and a set of skills to reach a future position of maturity, while advancing scientific knowledge in the framework of EU policies on adaptation to climate change and digitization of water resources.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
- engineering and technology electrical engineering, electronic engineering, information engineering electronic engineering sensors biosensors
- natural sciences earth and related environmental sciences hydrology
- natural sciences biological sciences microbiology microbiomes
- natural sciences earth and related environmental sciences atmospheric sciences climatology climatic changes
- engineering and technology environmental engineering natural resources management water management
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Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-PF-GF - HORIZON TMA MSCA Postdoctoral Fellowships - Global Fellowships
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2023-PF-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
28805 Alcala De Henares Madrid
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.