Bayesian belief networks (BBNs) are probabilistic graphical models that can capture and
integrate both quantitative and qualitative data, thus accommodating data-limited conditions …

Bayesian networks (BNs) are widely implemented as graphical decision support tools which
use probability inferences to generate “what if?” and “which is best?” analyses of potential …

In this paper, we introduce the CSPS framework for the hierarchical assessment of aquatic
ecosystem models built on a range of metrics and characteristic signatures relevant to …

Abstract The Yangtze River estuary and its surrounding seas have had the highest degree of
eutrophication in China. **angshan Bay, located at the southern bank of the Yangtze River …

Abstract Evaluation of hydrological response to future climate change is essential for water
quality risk assessment and adaptive management implementation within a watershed …

Freshwater ecosystems can experience harmful algal blooms, which negatively impact
recreational uses, aesthetics, taste, and odor in drinking water. Cyanobacterial toxins can …

Urban lakes in China, particularly those with relatively small surface areas and closed
watersheds, have suffered from severe eutrophication over the past few years. To …

Agricultural residues have been identified as a significant potential resource for bioenergy
production, but serious questions remain about the sustainability of harvesting residues …

Mechanistic models rely on specification of parameters representing biophysical traits and
process rates such as phytoplankton, zooplankton and seagrass growth and respiration …

Nutrient criteria provide a scientific foundation for the comprehensive evaluation, prevention,
control and management of water eutrophication. In this review, the literature was examined …