San Carlos de ApoquindoIndependent technical study
Methodology · living document · version 2026-10-13

How the debris flow was reconstructed

Study inputs, physical model, hypotheses, evaluation criteria, and verification, presented reproducibly. Full technical details are in the paper (Spanish original); results for each simulation are in Simulations.

1. Objective and scope

Use a physical model to examine which simulated flow paths, volumes, and mechanisms of the 8 October 2026 debris flow in San Carlos de Apoquindo are compatible with public information, by comparing hypotheses about its origin with observations. Observed results, calculated results (model outputs under assumptions), and hypothetical scenarios are distinguished. This is neither an expert assessment nor an official report and does not attribute responsibility.

2. Input data (public sources)

Data itemSourceUse
TerrainFABDEM V1-2 (bare-earth terrain, 30 m), resampled to 4 mModel terrain
BuildingsOverture Maps: 42,018 footprints; heights from Copernicus GLO-30, recorded floor counts, or 6 mFlow obstacles
Streets and channelsOpenStreetMap and official 1:25,000 hydrographic network (Geoportal de Chile)Surface-specific roughness and carved channels
RainfallDMC (Tobalaba), CR2 (Río Molina; hyetograph from the DGA station digitized from its figure 3: 8 intervals of 30 min, 31.8 mm), Open-Meteo (historical forecast and ERA5)Volume and rainfall on the hillside and lower hillside
Isotherm and snowOpen-Meteo and Sentinel-2 (snow index)Catchment area that received rain
Affected areaIDE Chile and Bienes Nacionales emergency viewer (area, properties, streets)Evaluation
Observations from the dayPress, municipality, Senapred, Carabineros, universities (evidence log)Evaluation and comparison
Fire severitySentinel-2: dNBR index (23-Dec-2025 versus 6-Feb-2026)Volume with and without fire; debris-flow probability
Contributed observationsVideo published by Meganoticias (8-Oct, 18:16), Street View, 81 points with elevations from Google Earth, and alignments marked by the author (hillside road, entrances, bike park, line of trees)Campus, La Plaza Sur, and ravine features unresolved by the terrain; fitting, not validation
PopulationCenso 2017 (census blocks)Exposure sub-study

3. Terrain

4. Physical model

5. The mud

Mud floods and mudflows contain 20–45 % sediment by volume (1,330–1,740 kg/m³); debris flows, 50–80 % (1,400–2,400 kg/m³) (O'Brien y Julien, 1988; Costa, 1984; Iverson, 1997). According to press reports (compiled in Wikipedia), the acting director of Sernageomin described the event as a rapid surge of water over a very short time carrying a large amount of sediment (flash flood), and the images show a fine matrix with stones, logs, and cars. The reference mud is Glenwood 2b with Cv 0.40 (1,660 kg/m³); tests include Cv 0.43 (1,710 kg/m³, to account for the coarse load), Glenwood 1 (Cv 0.45, thicker), and Aspen 2 (more fluid). Subsequent trials use different muds by zone (Cv 0.27 or turbid water with Cv 0.10 on the campus lower hillside and Cv 0.40 in the main branch) and concentration quadrature between 0.20 and 0.50 (Beta(3,2) distribution, five nodes): the expected area with more than 5 cm is 169 ha and the index remains between 71 and 73.

6. Volume

7. Hypotheses compared

8. Evaluation: original criteria and exploratory compatibility index

Four criteria set before simulation, each between 0 and 1: streets with observed mud that the model wets; facilities with confirmed impacts reached (UC Christus, Duoc UC, Clínica and campus of U. de los Andes); reach to Padre Hurtado (1 at less than 200 m); and the fraction of simulated mud in the urban area that falls within the official affected area from IDE Chile. Each criterion has an acceptance threshold (original criteria); the hypothesis selected for the held-out test meets three of four, and the integrated hypothesis meets four of four with assumed rainfall and three of four with measured rainfall. Separately, the exploratory compatibility index (ECI), defined later, summarizes these components on a scale from 0 to 100. The selected hypothesis scored 74/100 with the press perimeter (until 10 October) and scores 72/100 with the official polygon. Under a rule recorded before choosing the candidate (validation protocol, amendment 1), if the facilities component depends only on the campus control point and that point is not wetted with a fine time step, it is calculated without it. The index rewards the fraction of mud within the official area; this is why it does not fall when there is less mud (for example, without fire) and cannot be used to assess the volume. It does not measure predictive accuracy or constitute independent validation, which remains pending, and differences of two or three points should not be interpreted as conclusive evidence that one hypothesis is superior to another.

9. Numerical verification

9b. Versions, experiments, and held-out observations

Frozen versions: each published PDF is preserved as published, with its SHA-256 hash (previous versions (Spanish original)); terrain datasets are not modified after use. Experiment log: all runs are recorded, including those stopped, canceled, failed, and discarded, with the reason. Separation of observations: the fitting observations (streets, facilities, reach, perimeter, thickness at UC Christus) were used to formulate and select hypotheses, so the index measures compatibility, not validation; official properties and street centerlines provide a descriptive comparison; and the held-out observations, for testing rather than fitting, are 49 officially affected facilities, post-event Sentinel-1 images, and future high-water marks. The facilities test was defined before examining results and was run only once on 11 October: the selected hypothesis (z02) reaches 19 of 49 points (39 %), below the set threshold of 70 % and without outperforming the main-channel-only reference. Unfavorable result, reported without adjusting the model (protocol). Subsequent trials (porous houses, turbid water on the lower hillside, campus and La Plaza Sur features contributed using Google Earth, Street View, and a video) improve the verified index to 76–78/100, and the integrated hypothesis combining them obtains 79–82/100 depending on rainfall (82 verified with a fine time step using an assumed 35 mm/h; 81 with measured rainfall; 79 with measured rainfall spread evenly). These are fitting tests: a new test will require new held-out observations, specified before comparing them with model results.

10. Automated review and evidence log

Automated review of physics, formatting, and wording using AI tools (Codex), documented by the author, with reports published below; this does not constitute independent scientific review. Each external source consultation is logged with date, source, data used, and the SHA-256 hash of the capture; the full searchable log is in Data.

11. Limitations

Change log

Automated AI reviews (do not constitute independent scientific review)