| Abstract Submission No. | ABS-3.1-0059 |
| Title of Abstract | Fractal Analysis of the Dauki Fault |
| Authors | Deepak Dattatray Atpadkar* |
| Organisation | Indian Institute of Technology (Indian School of Mines), Dhanbad) |
| Address | Dimond Hostel, IIT(ISM), Dhanbad Dhanbad, Jharkhand, India Pincode: 826004 E-mail: 23mc0029@iitism.ac.in |
| Country | India |
| Presentation | Poster |
| Abstract | The Dauki Fault, which defines the southern boundary of the Shillong Plateau in Meghalaya, is one of the most prominent tectonic features in northeast India. Its activity has long been debated, making it an important focus for both understanding regional geodynamics and assessing seismic hazards. In this study, I use fractal analysis to explore the spatial, temporal, and magnitude distribution of earthquakes along the Dauki Fault zone, drawing on data from multiple open-source earthquake catalogues. To examine spatial patterns of seismicity, I applied both the correlation integral and box-counting methods to calculate the fractal dimension (D). The correlation dimension for the study area is about 1.33, suggesting that earthquakes are not randomly dispersed but tend to cluster along linear structures such as the main fault and associated fractures. At the same time, the value indicates some spreading around the primary fault line, reflecting the fault¿s complex geometry. The magnitude distribution was evaluated using the Gutenberg¿Richter relation, which produced a b-value of 1.16. Since this is greater than one, it shows that smaller earthquakes occur more frequently than larger ones, pointing to ongoing stress release within the fault system. Such values are typical of moderately active, heterogeneous faults. These results are consistent with earlier studies of similar fault systems, which have linked b-values above one to active deformation and fault complexity. Together, the spatial clustering, magnitude distribution, and temporal decay reveal that the Dauki Fault is both active and structurally complex. The integrated use of fractal analysis, b-value estimation, and aftershock modeling offers a clearer picture of the fault¿s dynamic behavior. These findings not only support earlier observations of fault activity but also highlight the Dauki Fault¿s importance for evaluating seismic hazards in northeast India. |
| Keywords | Fractal analysis, Dauki fault, fractal dimension, b-value, Correlation integration, Box counting |