Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms
Real-time observation, early warning and forecasting phytoplankton blooms by integrating in situ automated online sondes and hybrid evolutionary algorithms
L. Ye,Q. Cai,Min Zhang,Lu Tan
2014 · DOI: 10.1016/j.ecoinf.2014.04.001
Ecological Informatics · 34 Citations
TLDR
This study shows that the optimized HEM achieved an acceptable performance in real-time short-term forecasting and early warning of phytoplankton blooms with the data from the automated in situ sondes.