Coupled Data-Driven Evolutionary Algorithm for Toxic Cyanobacteria (Blue-Green Algae) Forecasting in Lake Kinneret

A systematic literature review of forecasting and predictive models for cyanobacteria blooms in freshwater lakes

“…Some studies have compared the performance and limitations of multiple DD modelling techniques for CyanoHAB forecasting (Fornarelli et al, 2013;Ostfeld et al, 2015;Zeng et al, 2017). testing with unseen data.…”

“…DD modelling techniques can also be combined to improve forecast and prediction performance. Ostfeld et al (2015) combined model trees and GP to forecast CyanoHABs in Lake Kinneret, Israel. Model performance varied according to the number and type of selected state variables.…”

“…They found that increased sample volume significantly improved forecasting performance. In the SLR, just a few studies explicitly accounted for data uncertainties in predictive and forecasting models (Cha et al, 2014;Obenour et al, 2014;Ostfeld et al, 2015;Bertani et al, 2016;Segura et al, 2017;Page et al, 2018;Li & Qin, 2019).…”

“…The choice of input variables should consider their availability, reliability and ease of data acquisition, besides cost (Ostfeld et al, 2015). Because of these contraints, many studies aimed to develop forecasting models with reduced input data.…”