dorsal/arxiv
View SchemaMagnitude clustering and dynamical scaling in trigger models for earthquake forecasting
| Authors | Eugenio Lippiello, Cataldo Godano, Lucilla de Arcangelis |
|---|---|
| Categories | |
| ArXiv ID | physics/0507197 |
| URL | https://arxiv.org/abs/physics/0507197 |
Abstract
One of the main interests in seismology is the formulation of models able to describe the clustering in time occurrence of earthquakes. Analysis of the Southern California Catalog shows magnitude clustering in correspondence to temporal clustering. Here we propose a dynamical scaling hypothesis in which time is rescaled in terms of magnitude. This hypothesis is introduced in the context of a generalized trigger model and gives account for clustering in time and magnitude for earthquake occurrence. The model is able to generate a synthetic catalog reproducing magnitude and inter-even time distribution of thirty years California seismicity.
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"date_created": "2026-03-02T18:00:59.809000Z",
"date_modified": "2026-03-02T18:00:59.809000Z",
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"abstract": "One of the main interests in seismology is the formulation of models able to\ndescribe the clustering in time occurrence of earthquakes. Analysis of the\nSouthern California Catalog shows magnitude clustering in correspondence to\ntemporal clustering. Here we propose a dynamical scaling hypothesis in which\ntime is rescaled in terms of magnitude. This hypothesis is introduced in the\ncontext of a generalized trigger model and gives account for clustering in time\nand magnitude for earthquake occurrence. The model is able to generate a\nsynthetic catalog reproducing magnitude and inter-even time distribution of\nthirty years California seismicity.",
"arxiv_id": "physics/0507197",
"authors": [
"Eugenio Lippiello",
"Cataldo Godano",
"Lucilla de Arcangelis"
],
"categories": [
"physics.geo-ph"
],
"title": "Magnitude clustering and dynamical scaling in trigger models for earthquake forecasting",
"url": "https://arxiv.org/abs/physics/0507197"
},
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