Advanced risk management tool for early detection and identification of toxic algal blooms

The CYANOBLOOM project aims to enhance early detection of toxic cyanobacteria in water reservoirs by integrating remote monitoring with on-site genetic analysis, increasing identification chances to 90%.

Subsidie
€ 1.474.963
2023

Projectdetails

Introduction

Cyanobacteria are microscopic organisms found naturally in all types of water. In warm, nutrient-rich (high in phosphorus and nitrogen) environments, cyanobacteria can multiply quickly, creating blooms that spread across the water’s surface.

Health Impacts

The blooms can produce toxins, known as cyanotoxins, that affect water quality and can be harmful to humans, animals, and the environment. Potential health effects include:

  • Allergic-like reactions
  • Flu-like symptoms
  • Gastroenteritis in humans

Current Detection Methods

Nowadays, the methods for detection of cyanoblooms are mainly based on in-situ collection of samples and analysis at the laboratory level. This approach limits the early detection of these blooms due to insufficient sampling frequencies.

Alternative Initiatives

There exist other initiatives to support decision-making for drinking water management, such as:

  1. Satellite remote sensing
  2. Fluorescence-based probes
  3. Drones

However, these tools need to be equipped with advanced imaging solutions (i.e., multispectral, hyperspectral) to achieve the necessary precision. Moreover, they must be complemented with analytical methods to determine the actual toxicity of the blooms. The WHO recommends introducing molecular methods for the monitoring of toxigenic cyanobacteria.

CYANOBLOOM Project

The CYANOBLOOM project aims to demonstrate a solution for the early detection of toxic cyanobacteria blooms in public water supply reservoirs. This will be achieved through a combination of:

  • Remote monitoring (i.e., data retrieved from public and private satellites)
  • On-site measurements (i.e., hyperspectral field measurements with genetic analysis of collected samples)

As a result, the chance of timely identifying a bloom will be increased from the current 0.82-1.11% to up to 90%. The new solution will be tested in four water reservoirs located in:

  • Spain (2)
  • Sweden
  • Netherlands

Financiële details & Tijdlijn

Financiële details

Subsidiebedrag€ 1.474.963
Totale projectbegroting€ 2.458.273

Tijdlijn

Startdatum1-7-2023
Einddatum31-12-2026
Subsidiejaar2023

Partners & Locaties

Projectpartners

  • ANBIOTEK SLpenvoerder
  • WATER INSIGHT BV
  • BROCKMANN CONSULT GMBH
  • BROCKMANN GEOMATICS SWEDEN AB
  • ASOCIACION CLUSTER DE INDUSTRIAS DEMEDIO AMBIENTE DE EUSKADI
  • SISTEMAS GENOMICOS SL

Land(en)

SpainNetherlandsGermanySweden

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