The author presents an interesting method to forecast nonlinear kinematic flood waves (Serrano, 2006). As a first remark, the discussers would like to stress the fact that the proposed method is an approximate solution and not an analytical solution, as suggested by the title of the paper. Indeed, an analytical expression is given by the backwards characteristics methods, as in Eq. (6) of the p...

Floods are the most frequent natural disasters affecting the Moravian-Silesian region. Therefore a system that could predict flood extents and help in the operative disaster management was requested. The FLOREON system was created to fulfil these requests. This article describes utilization of HPC (high performance computing) in running multiple hydrometeorological simulations concurrently in t...

Risk insurance mechanisms have been proposed as proactive policy options to enhance the resilience of communities for coping with extreme events. Many risk insurance mechanisms require designation of ‘‘risk zones’’ to legalize governmental interventions. After a three-day workshop and ensuing interviews, ‘‘wicked’’ challenges were identified in the designation of risk zones: risk thresholds; la...

With the passage of time the impacts of natural hazards continue to increase around the world. The globalization and growth of human societies and their escalating complexity and river flooding will further increase the risks of natural hazards. Flood prediction and control are one of the greatest challenges facing the world today, which have become more frequent and severe due to the effects o...

The hydrological modeling has become an intensively studied subject in recent years. One of the most significant problems concerning this issue is to provide the mathematical and statistical tools, which allow to forecast extreme hydrological events, such as severe sea or river floodings. The extreme events on water have huge social and economic impact on the affected areas. Due to these reason...

The present study developed an artificial neural network (ANN) model to overcome the difficulties in training the ANN models with continuous data consisting of rainy and non-rainy days. Among the six models analyzed the ANN model which used generalized feedforward type network and a hyperbolic tangent function and a combination of 5 meteorological parameters (relative humidity, air pressure, we...