Mehrnia - Ass. Professor, Department of Geology, Distance Education University (PNU), Qazvin, Iran

Most of Earthquake measured Patterns generated by aeromagnetic multiplicative cascade processes show self-similarity which can be described by power-law type of functions. Recognition of the self-similarities (and following self-affinities) with respect to geospatial scaling, might provide decomposition of the patterns to distinct underlying processes. A concentration-area plot (C-A) and a power spectrum-area plot (S-A) have been applied to separation of aeromagnetic patterns on the basis of distinct self-similarity in space and frequency domain, respectively. The C-A method can decompose the geo-structural patterns into active and stable resources. The S-A plot is applied in a frequency domain to separate the powerspectrum into different levels with distinct self-similarities. Filters can be constructed on the basis of separated power spectrum levels. Conversion of aeromagnetic signal from the frequency domain back to the space domain using 2-D Inverse Fourier Transformation with these filters applied provides the lineaments prognosis patterns reflecting hazardous areas based on aeromagnetic fractal considerations. As a result airborne magnetic values related to dependent structural lineaments in NW of Iran will be employed to demonstrate the applications and priorities of the C-A and S-A fractal methods versus traditional (Euclidean) techniques for better predictions and more geospatial integrative associations with earthquakes practically.