Current state‐of‐the‐art models typically applied at continental to global scales (hereafter
called macroscale) tend to use a priori parameters, resulting in suboptimal streamflow (Q) …

Large-scale reservoirs play an essential role in water resources management for agriculture
irrigation, water supply and flood controls. However, we need robust reservoir operation …

Inversely obtained hydrologic parameters are always uncertain (nonunique) because of
errors associated with the measurements and the invoked conceptual model, among other …

Knowledge-based or Artificial Intelligence techniques are used increasingly as alternatives
to more classical techniques to model environmental systems. We review some of them and …

QUAL2Kw is a framework for the simulation of water quality in streams and rivers. Dynamic
diel heat budget and water quality kinetics are calculated for one-dimensional steady-flow …

Modern agriculture is nowadays subject to regulations in terms of quality and environmental
impact and thus it is a field where the application of automatic control techniques has …

An assessment of the impact of global climate change on the water resources status of the
island of Crete, for a range of 24 different scenarios of projected hydro-climatological regime …

Spatially explicit land-use models simulate the patterns of change on the landscape in
response to coupled human–ecological dynamics. As these models become more complex …

We have developed a hybrid model that integrates chaos theory and an extreme learning
machine with optimal parameters selected using an improved particle swarm optimization …

Genetic Algorithm (GA) is globally oriented in searching and thus useful in optimizing
multiobjective problems, especially where the objective functions are ill-defined. Conceptual …