dorsal/arxiv
View SchemaEarthquakes temporal occurrence: a statistical study
| Authors | C. Godano, L. de Arcangelis |
|---|---|
| Categories | |
| ArXiv ID | physics/0404068 |
| URL | https://arxiv.org/abs/physics/0404068 |
Abstract
The distribution of inter-occurrence time between seismic events is a quantity of great interest in seismic risk assessment. We evaluate this distribution for different models of earthquakes occurrence and follow two distinct approaches: The non homogeneous Poissonian and the non Poissonian one. In all cases we obtain either a power law or a power law damped by an exponential factor behaviour. This feature of the distribution makes impossible any prediction of earthquakes occurrence. Nevertheless it suggests the interpretation of the earthquake occurrence phenomenon as due to some non-linear dynamics to be further investigated.
{
"annotation_id": "69cc469b-ce0d-43ac-9e71-af21fd8fd0fa",
"date_created": "2026-03-02T18:00:49.904000Z",
"date_modified": "2026-03-02T18:00:49.904000Z",
"file_hash": "fbd0b510d5ca16ab9ebddd2f5280225a1009dbbaec930bbb228259452ee52e0f",
"private": false,
"record": {
"abstract": "The distribution of inter-occurrence time between seismic events is a\nquantity of great interest in seismic risk assessment. We evaluate this\ndistribution for different models of earthquakes occurrence and follow two\ndistinct approaches: The non homogeneous Poissonian and the non Poissonian one.\nIn all cases we obtain either a power law or a power law damped by an\nexponential factor behaviour. This feature of the distribution makes impossible\nany prediction of earthquakes occurrence. Nevertheless it suggests the\ninterpretation of the earthquake occurrence phenomenon as due to some\nnon-linear dynamics to be further investigated.",
"arxiv_id": "physics/0404068",
"authors": [
"C. Godano",
"L. de Arcangelis"
],
"categories": [
"physics.geo-ph"
],
"title": "Earthquakes temporal occurrence: a statistical study",
"url": "https://arxiv.org/abs/physics/0404068"
},
"schema_id": "dorsal/arxiv",
"source": {
"execution_id": "d0134c30-6bc8-48e6-bfb6-4edc8081b986",
"id": "arXiv Dataset IDs",
"type": "Model",
"variant": "snapshot-2026-03-01",
"version": "0.1.0"
},
"user_id": 1000002
}