{
  "annotation_id": "a1dfede7-f08b-4abc-8531-59ea1f1fdf63",
  "date_created": "2026-03-02T18:01:07.930000Z",
  "date_modified": "2026-03-02T18:01:07.930000Z",
  "file_hash": "913d88d5e5c6e7139f0f3cf1ab2f284611ab146a79a1dc29bd22a467985a29a9",
  "private": false,
  "record": {
    "abstract": "In order to characterize landslide frequency-size distributions and\nindividuate hazard scenarios and their possible precursors, we investigate a\ncellular automaton where the effects of a finite driving rate and the\nanisotropy are taken into account. The model is able to reproduce observed\nfeatures of landslide events, such as power-law distributions, as\nexperimentally reported. We analyze the key role of the driving rate and show\nthat, as it is increased, a crossover from power-law to non power-law behaviors\noccurs. Finally, a systematic investigation of the model on varying its\nanisotropy factors is performed and the full diagram of its dynamical behaviors\nis presented.",
    "arxiv_id": "physics/0603100",
    "authors": [
      "E. Piegari",
      "V. Cataudella",
      "R. Di Maio",
      "L. Milano",
      "M. Nicodemi"
    ],
    "categories": [
      "physics.geo-ph"
    ],
    "doi": "10.1103/PhysRevE.73.026123",
    "journal_ref": "Phys. Rev. E 73, 026123 (2006)",
    "title": "Finite driving rate and anisotropy effects in landslide modeling",
    "url": "https://arxiv.org/abs/physics/0603100"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "6673bd75-d1c0-4181-ae7a-ac60ad977f28",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}