Journal of Engineering Geology

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(Paper pages 451-472) Flood management and flood prediction are taken into account for a long time. There are many methods to estimate the magnitude of the flood. One of the most recent methods is using Artificial Neural Networks. In this paper, a Neural-Wavelet Network (NWN) using wavelet theory and Artificial Neural Networks (ANN) for Halil river basin in SE of Iran is reported. Furthermore, a new rainfall-runoff pattern is reported. This pattern ncludes the classification of data in the harmonic data groups and the use of Neural-Wavelet Network.The introduced pattern is analyzed by the NWN model and results are prepared with Artificial Neural Networks Back propagation and Radial Base Function (RBF) model results. Halil basin was selected to used for our model. The calculations of the R-square and root mean square error (RMSE) can control the accuracy of our computations. The calculations showed that the accuracy of the results of the Artificial Neural Wavelet Network is more desirable than ANN and RBF. It is showed that the classification of data in harmonies data and using of new pattern increase the efficiency of the models operations as well.

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Landslides are natural hazards that make a lot of economical and life losses every year. Landslide hazard zonation maps can help to reduce these damages. Taleghan watershed is one the susceptible basin to landslide that has been studied. In this paper, landslide hazard zonation of the study area is performed at a scale of 1:50,000. To achieve this aim, layers information such as landslides distribution, slope, aspect, geology (lithology), distance from the faults and distance from rivers using artificial neural network-based Radial Basis Function (RBF) and perceptron neural network (MLP), has been studied. Principal of RBF method is similar to perceptron neural network (MLP), which its ability somewhat has been identified up to now and there are several structural differences between these two neural networks. The final results showed that the maps obtained from both methods are acceptable but the MLP method has a higher accuracy than the RBF method.