Predicting and preventing emergent cyanobacterial blooms in complex man-made Dutch hydrological networks on daily and yearly time scales

Blooms of blue-green algae (cyanobacteria) in surface waters pose a serious threat to public health and drinking water production. Blooms emerge under excessive nutrient supply and lack good predictive models. NIOO-KNAW, WUR and Deltares will develop new simulation models to predict and prevent bloom formation in complex man-made hydrological networks.