CIANOMOD

Details
Title: Development of a predictive model for the management of algal and cyanobacterial bloom events associated with climate change based on remote sensing techniques and data acquisition systems.
Duration: 2019 - 2021
Research groups: Aquatic ecology and biotechnology
Description
Objectives The CianoMOD project pursues four objectives related to cyanobacterial and algal blooms:
(a) Determine the mechanisms that enable cyanobacterial blooms.
b) To establish their relationship with climate change.
c) To understand their environmental consequences.
d) To create monitoring and prediction mechanisms. General activities CianoMOD will develop the following tasks:
(a) Historical analysis of water properties.
b) Continuous monitoring of water with sensors.
c) Correlation of measurements with satellite images.
d) Creation of mathematical models for the prediction of cyanobacterial blooms.
e) Development of online platforms for remote data consultation. Expected results The results of CianoMOD will be presented as:
(a) a methodological protocol for the study of cyanobacterial blooms,
b) the development of a “predictive” model,
c) the construction of an Internet consultation platform, and
d) the development of a participatory strategy to raise public awareness.
Funder
With the support of:





