Cyanobacteria harmful blooms (CyanoHABs) in lakes and reservoirs represent a major risk
for water authorities globally due to their toxicity and economic impacts. Anticipating bloom …

Deterministic models have emerged as a widely accepted tool for investigations in lentic
aquatic ecosystems. In this study, an extensive literature review is provided by an inventory …

Many decision-making processes in our society involve NP-hard optimization problems. The
largescale, dynamism, and uncertainty of these problems constrain the potential use of …

This paper investigates climate change impacts on the hydrology and water quality of
Brazilian semi-arid reservoirs. An integrated approach coupling climate, hydrological and …

Phytoplankton blooms are a global water quality issue, and successful management
depends on understanding their responses to multiple and interacting drivers, including …

Storylines are introduced in climate science to provide unity of discourse, integrate the
physical and socioeconomic components of phenomena, and make climate evolution more …

Abstract The Society of Environmental Toxicology and Chemistry (SETAC) convened a
Pellston workshop in 2022 to examine how information on climate change could be better …

Foresight science is a systematic approach to generate future predictions for planning and
management by drawing upon analytical and predictive tools to understand the past and …

Abstract Model ensembles have several benefits compared to single-model applications but
are not frequently used within the lake modelling community. Setting up and running …

Dam inflow prediction is important in terms of optimal water allocation and reduction of
potential risks of floods and droughts. It is necessary to select a suitable model to reduce …