Your trusted resource for accurate earthquake declustering and seismic analysis.
Earthquake sequences often include both main events and aftershocks, making it challenging to differentiate between primary seismic activities and secondary events. Our declustering tools utilize an advanced Nearest-Neighbor Distance algorithm, which is highly effective in distinguishing background events from clustered aftershocks, both in synthetic simulations and real-world earthquake data.
This algorithm leverages crucial parameters such as the b-value and the fractal dimension (df) to classify events accurately. These parameters allow for an adaptable clustering approach that can be finely tuned to various datasets, enhancing precision in both regional and global seismic analyses.
Our approach to earthquake declustering is built upon a rigorous sensitivity analysis of the algorithm’s hyper-parameters, particularly the susceptibility index, which evaluates clustering accuracy. By performing 500 simulations with the ETAS model, our tools examine a broad range of parameter values, ensuring high stability in cluster formation across diverse seismic settings.
The declustering process is further strengthened by measuring different clustering metrics, such as Kmax (the maximum cluster count), Ktrue (the actual number of clusters), and Kmin (the minimum cluster size for stable clustering). By comparing these metrics, our algorithm identifies the optimal number of clusters (Kbest), thus providing accurate background event estimation that remains robust even when hyper-parameters are adjusted.
Declustering earthquake catalogs has profound implications for seismic hazard assessment. With accurate separation of primary and secondary events, researchers can better understand seismic patterns and the factors influencing aftershock productivity. Our tools enable users to simulate earthquake sequences under various conditions, providing insights into the spatial and temporal distribution of seismicity.
Additionally, our tools address the effect of the branching ratio, which measures the expected number of aftershocks per main event. By conducting sensitivity tests on branching ratios, ranging from 0.5 to 0.9, we ensure that the declustering method maintains accuracy, even in regions with varying seismic productivity levels.
Our declustering tools are backed by advanced research and extensive testing. Key benefits include:
By utilizing our tools, seismologists and researchers gain access to precise and adaptable solutions for earthquake declustering, aiding in more accurate risk assessment and hazard preparedness strategies.