CEST Proceedings are published under the ISSN 2944-9820.
Prediction of Algal Bloom Occurrence in Laguna Lake, Philippines using Artificial Neural Networks (ANN)
(Corresponding) Esguerra G., Ballesteros F.
Topic:
Lakes, rivers, estuaries and ecosystem health
Algal blooms pertain to an undesirable formation of unicellular freely-floating algal scum caused by the rapid growth of phytoplankton, which can become a hazard for the water body ecosystem. Laguna Lake serves as both a source of livelihood and water supply for the residents in the region and the...Read more
Keywords:
algal blooms, phytoplankton counts, artificial neural networks, Laguna de Bay, water quality prediction
A data-driven approach to predict phytoplankton blooms using satellite-derived water quality and hydrometeorological drivers
(Corresponding) Kandris K., Romas E., Tzimas A., Bresciani M., Giardino C., Bauer P., Pechlivanidis I., Dessena M.
Topic:
Environmental data analysis and modelling
The present work leverages simulated hydrometeorological factors and satellite-derived chlorophyll-a to predict phytoplankton dynamics for Mulargia reservoir (Sardinia, Italy). A Random Forest (RF) model was (a) calibrated to minimize out-of-bag errors of chlorophyll-a predictions for a 5-year-long...Read more
