Monitoring natural environments is a challenging task on account of their hostile features.
The use of wireless sensor networks (WSNs) for data collection is a feasible method since …

Nowadays, floods have become the widest global environmental and economic hazard in
many countries, causing huge loss of lives and materials damages. It is, therefore …

Effective flood forecasting can significantly prevent losses related to severe floods. However,
nonlinear and dynamic flooding processes are difficult to simulate using traditional static …

The technologies of artificial neural networks can be used to complete information
processing of the networks through the interaction of neural cells. The mappings of the …

To establish a better flow of the flood forecasting model. Based on chaos theory and RBF
neural network forecasting model, and measured flood sequence of space reconstruction by …

The rise in the number and intensity of natural disasters is a serious problem that affects the
whole world. The consequences of these disasters are significantly worse when they occur …

Analysing environmental events such as predicting the risk of flood is considered as a
challenging task due to the dynamic behaviour of the data. One way to correctly predict the …

It will be useful to attain a quick and accurate flood forecasting, particularly in a flood-prone
region. The accomplishment of this objective can have far reaching significance by …

Natural disasters have tended to increase and become more severe over the last decades.
A preparation measure to cope with future floods is flood forecasting in each particular area …

The complex temporal heterogeneity of rainfall coupled with mountainous physiographic
context makes a great challenge in the development of accurate short-term rainfall forecasts …