The impact of HABs (Harmful Algal Blooms) on public health and aquaculture is increasing in the last decades and the necessity of their detection and monitoring is urgent. The use of the satellite remote sensing for studying HABs is considered as a promising technique to implement traditional in situ samplings for its advantages of large-scale, real-time, and long-term monitoring (Shen et al., 2012). The EC Horizon 2020 project Cyanolakes is aimed to develop a fully-automated processing system to provide information on the health risks from HABs and nutrient pollution for different European water bodies (lakes and coastal sites in Sweden, Romania and Italy). The service will exploit the wealth of information from the Copernicus Sentinel-3 and Sentinel-2 satellites to provide near real-time information and forecasts using innovative algorithms. Among the study sites of the project, the Mar Piccolo of Taranto (Ionian Sea, Mediterranean) together with the northern Adriatic Sea covered up to 50% of the Italian mussel production. HABs have been responsible for massive mussel kills since 1938, but in the last years the problem is worsening. Long-term researches (1991 - 2014) evidenced the presence of about twenty-five harmful species throughout the years. Among them twenty-three are potential producers of toxins (e.g. diarrhetic and amnesic shellfish poisonings). Besides the increase of the harmful eukaryotic microalgae (Caroppo et al., 2016), data showed an increase of the autotrophic picocyanobacteria (Karuza et al. 2016), mainly represented by the genera Synechococcus, which has proved to potentially produce microcystins, previously detected only in freshwater strains (Carmichael and Li, 2006). On the basis of in situ and remote sensing researches, efforts will be done to built models and early-warning tools useful for authorities responsible for the safeguard of public health, environmental protection and economic development of the coastal sites devoted to the mariculture.

Using Satellite Remote Sensing of Harmful Algal Blooms (HABs) in a coastal European site.

Caroppo C;
2017

Abstract

The impact of HABs (Harmful Algal Blooms) on public health and aquaculture is increasing in the last decades and the necessity of their detection and monitoring is urgent. The use of the satellite remote sensing for studying HABs is considered as a promising technique to implement traditional in situ samplings for its advantages of large-scale, real-time, and long-term monitoring (Shen et al., 2012). The EC Horizon 2020 project Cyanolakes is aimed to develop a fully-automated processing system to provide information on the health risks from HABs and nutrient pollution for different European water bodies (lakes and coastal sites in Sweden, Romania and Italy). The service will exploit the wealth of information from the Copernicus Sentinel-3 and Sentinel-2 satellites to provide near real-time information and forecasts using innovative algorithms. Among the study sites of the project, the Mar Piccolo of Taranto (Ionian Sea, Mediterranean) together with the northern Adriatic Sea covered up to 50% of the Italian mussel production. HABs have been responsible for massive mussel kills since 1938, but in the last years the problem is worsening. Long-term researches (1991 - 2014) evidenced the presence of about twenty-five harmful species throughout the years. Among them twenty-three are potential producers of toxins (e.g. diarrhetic and amnesic shellfish poisonings). Besides the increase of the harmful eukaryotic microalgae (Caroppo et al., 2016), data showed an increase of the autotrophic picocyanobacteria (Karuza et al. 2016), mainly represented by the genera Synechococcus, which has proved to potentially produce microcystins, previously detected only in freshwater strains (Carmichael and Li, 2006). On the basis of in situ and remote sensing researches, efforts will be done to built models and early-warning tools useful for authorities responsible for the safeguard of public health, environmental protection and economic development of the coastal sites devoted to the mariculture.
2017
phytoplankton
remote sensing
cyanobacteria
harmful algal blooms
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/335683
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