Harmful cyanobacterial blooms (CyanoHABs) impact lakes, estuaries, and freshwater
reservoirs worldwide. The duration, severity, and spread of CyanoHABs have markedly …

The recent outbreaks of harmful algal blooms in the western Lake Erie Basin (WLEB) have
drawn tremendous attention to bloom prediction for better control and management. Many …

Algal blooms (ABs) in inland lakes have caused adverse ecological effects, and health
impairment of animals and humans. We used archived Landsat images to examine ABs in …

Climate change has catalyzed the global expansion of cyanobacterial blooms in eutrophic,
lakes and threatens water security. In most studies, the cyanobacterial bloom risk levels in …

Cyanobacterial blooms imperil the use of freshwater around the globe and present
challenges for water management. Studies have suggested that blooms are trigged by high …

Deforestation is currently a widespread phenomenon and a growing environmental concern
in the era of rapid climate change. In temperate regions, it is challenging to quantify the …

Ecological forecasting provides a powerful set of methods for predicting short‐and long‐term
change in living systems. Forecasts are now widely produced, enabling proactive …

Water quality forecasting can provide useful information for public health protection and
support water resources management. In order to forecast water quality more accurately, this …

The rapid emergence of deep learning long-short-term-memory (LSTM) technique presents
a promising solution to algal bloom forecasting. However, the discontinuous and non …

Globally eruptive harmful algal blooms (HABs) have caused numerous negative effects on
aquatic ecosystem and human health. Conversion of HABs into biohythane via dark …