FLOOD RISK SITUATION REPORT Venezuela (national) · GFS Short-Term · Bayesian Multi-Hazard Model · June 30, 2026

 

HORIZON	GFS short-term (≤168 h)	ENSO BASELINE	El Niño (2019, 2023, 2024)
FUSION	Bayesian — balanced	RESOLUTION	500 m fine / 1 km exposure — standard profile

Classification: UNCLASSIFIED / FOR PLANNING USE.  This report describes a flood risk surface, which is not the same as confirmed flooding. The La Guaira earthquake is not a hazard modelled by the flood component; it appears here as a media-triangulated vulnerability context (see FDO 06 and FDO 09).

1. Executive summary

Posterior surface of the Bayesian flood model over Venezuela (national run, El Niño baseline, balanced prior, 7-day horizon). Purple/magenta marks the posterior risk surface; green is cropland; blue lines are the drainage network. Terrain-shaded (SRTM) visualization. Source: Capybara Multi-Hazard Model — Google Earth Engine.

The national run concentrates most of its posterior mass over the western and central Llanos and the southern Lake Maracaibo piedmont — precisely the country's agricultural heartland. The dominant finding is agricultural: 69.44% of Venezuela's mapped cropland falls inside the flood posterior surface for the 7-day window. It is, by a wide margin, the highest exposure class in the panel and the central signature of this run.

In population terms, the model places 18.97% of mapped population — approximately 3.66 million of 19.30 million people — inside the posterior surface. Lifelines also show material exposure: roads 31.99% (≈ 34,669 km), electric grid 27.04% (≈ 11,139 km) and urban area 24.45%.

NEAR-REAL-TIME CONCORDANCE. On June 28, 2026, Portuguesa state — the core of the western Llanos and the highest agricultural-posterior zone in this run — suffered severe flooding. In Chabasquén (Monseñor José Vicente de Unda municipality), 114 mm of rain accumulated over more than eight hours, overflowing the Chabasquén and Chabasquencito rivers and three creeks, with more than 100 displaced families (350 per the opposition) and no fatalities reported. The model and the news cycle report the same geography from opposite directions (see FDO 05).

COMPOUND DISASTER (outside the flood model). Venezuela is under a national emergency following the earthquakes of June 24, 2026 (magnitudes 7.2 and 7.5, ~40 seconds apart), which struck mainly the coastal state of La Guaira (Caraballeda, Catia La Mar) and Caracas. The most recent toll (June 29) reports 1,719 dead and 5,034 injured, more than 15,000 displaced families and tens of thousands of people reported missing; over 100 buildings collapsed in La Guaira and Maiquetía airport was damaged. The earthquake is not a flood-model hazard, but it degrades the built environment and response capacity directly beneath the urban coastal band of the posterior (Image 4). It is a vulnerability multiplier, not a model output (see FDO 06 / FDO 09).

ENSO alignment (methodological strength). This run's El Niño baseline (CHIRPS years 2019, 2023, 2024) matches the current ENSO state: NOAA CPC maintains an El Niño Advisory as of June 2026, with El Niño conditions present and intensifying toward a moderate-to-strong event (Niño 3.4 ≈ +1.7 °C by mid-June). The "wetter-than-baseline" anomaly is therefore read against an approximately correct expectation (see FDO 07).

Area-aggregation caveat. As in prior Capybara runs, the absolute hectare totals for the area classes are not publicly quotable (the "built-up" and "protected areas" denominators approach the country's land area and are implausible). The percentages remain interpretable and are the figures to communicate (see FDO 08).

2. Exposure analysis

Posterior-weighted expected exposure inside the national Venezuela AOI, 7-day GFS window, Bayesian fusion with El Niño baseline, balanced prior, standard profile. The ⚠ symbol marks rows whose absolute totals are affected by the area-aggregation defect (FDO 08); the percentages remain valid.

Exposure panel as emitted by the model (original capture). The table below reproduces those values.

Variable	% of total	Expected (absolute)	Total (denominator)
Cropland area	69.44%	635,671.23 ha ⚠	915,405.24 ha ⚠
Roads length	31.99%	34,668.80 km	108,367.57 km
Electric grid length	27.04%	11,139.16 km	41,197.87 km
Urban area	24.45%	132,218.26 ha ⚠	540,737.07 ha ⚠
Built-up footprint	22.82%	20,736,136.99 ha ⚠	90,884,468.99 ha ⚠
Population (expected exposed)	18.97%	3,661,079 ppl	19,300,347 ppl
Protected areas	17.78%	9,167,208.33 ha ⚠	51,550,974.24 ha ⚠
Oil palm area	12.01%	5,019.00 ha ⚠	41,801.99 ha ⚠
Oil & gas sites	N/A — not present / sparse-point artefact
Wind farms	N/A
Solar farms	N/A

Robust headlines for public communication: Cropland 69.44%. Roads 31.99%. Electric grid 27.04%. Urban area 24.45%. Population 18.97% (≈ 3.66 M mapped people). These percentages can be quoted directly; the absolute hectare totals cannot.

3. Spatial findings by zone

Zoom into the western Llanos (Portuguesa): Acarigua, Araure, Agua Blanca, Sabaneta, Villa Bruzual, Santa Rosalía, El Playón, Ospino, Papelón. The large green polygon is cropland; the surrounding purple is the flood posterior surface wrapping the agricultural plain along its rivers and creeks. This is the engine behind the "Cropland 69.44%" headline.

Western Llanos — Portuguesa CRITICALACTIVE
Acarigua–Araure–Turén (alluvial agricultural core) and the Andean piedmont (Guanare, Biscucuy, Chabasquén). The plain is wrapped by the posterior along the Portuguesa, Guanare, Acarigua, Chabasquén and Chabasquencito rivers. Active flooding on June 28 in Chabasquén (FDO 05): 114 mm, overflows, >100 displaced families, Troncal 007 highway cut toward Peña Blanca parish, shelters opened. Guanare and Biscucuy also reported impacts.

Central Llanos — Cojedes, Guárico, Barinas, Apure HIGH
Eastern continuation of the agricultural signature; the posterior follows the middle-Orinoco network (Apure, Portuguesa, Cojedes, Guárico rivers). Dominant land use: extensive farming and llano cattle ranching. Main relevance: crop loss, waterlogged pasture and rural road cuts rather than dense urban flooding.

Southern Lake Maracaibo / Zulia–Mérida–Trujillo piedmont HIGH
Dense posterior band south and southwest of the lake. Intensive agriculture (plantain, cacao, cattle) drained by high-discharge rivers descending from the Andes. Risk of flash crests in the piedmont.

Central coastal strip — Caracas · La Guaira (Vargas) · Valencia · Maracay MODERATE (flood)CRITICAL (compound)
Flood exposure along this strip is moderate (urban posterior foci around Valencia–Carabobo and the coast), but it overlaps the earthquake disaster zone. La Guaira/Caraballeda, devastated by the June 24 quake, already carries a degraded built environment, collapsed services and people in the open. Any intense rainfall over unstable slopes raises mudflow/landslide risk — the direct echo of the Vargas Tragedy (1999) in the same geography (see FDO 06).

Zoom into the central coastal strip (Image 4): Puerto Cabello, Valencia, Maracay, Los Teques, Caracas, Maiquetía/La Guaira, Higuerote. Salmon/pink indicates urban areas; purple, flood-posterior foci (notable southwest of Valencia). This is the strip where hydrological risk overlaps the June 24 earthquake damage.

South — Amazonas and Bolívar LOW (asset exposure)
Dense Orinoco drainage network and tributaries, but low population and asset density; land use mostly forest and protected areas. The posterior here translates poorly into human or infrastructure exposure.

4. Forecasting and Decision Objects (FDOs) — JANUS method

FDOs follow the JANUS analytic method (Feged 2025, DOI 10.21203/rs.3.rs-7580516/v1). Each FDO links a claim to a model layer, a dataset, or a verified external source. No claim is published without a trace.

Model-derived FDOs

FDO 01 — 69.44% of mapped cropland inside the posterior surface

Source/traceCropland layer, fraction-preserving aggregation at exposureScale = 1,000 m, posterior-weighted. Model exposure panel.

SimpleNearly 7 of every 10 mapped agricultural hectares are inside the next 7 days' flood-risk zone.

ExpertCentral signature of the run. The posterior mass concentrates over the Llanos (Portuguesa, Cojedes, Guárico, Barinas, Apure) and southern Lake Maracaibo — the country's agricultural basins. Under an El Niño baseline aligned with the current state, the "wetter-than-baseline" signal over these basins is coherent.

ImplicationNational agro-climatic risk: potential crop and pasture loss, with food-security implications in a context already strained by the earthquake emergency. Agricultural authorities and Protección Civil in the llano states should treat the window as elevated alert for low-lying areas and riverbanks.

LimitsPercentage robust; absolute hectare total not quotable (FDO 08).

FDO 02 — 18.97% of mapped population (≈ 3.66 M) inside the posterior

Source/tracePopulation count raster (GPWv4 vintage) at populationScale = 1,000 m, posterior-weighted.

SimpleAbout 3.66 million of the ~19.3 million mapped people live inside the 7-day risk surface.

ExpertPopulation exposure (19%) is far lower than agricultural (69%) because Venezuela's population concentrates in the northern-coastal urban band, while the posterior mass concentrates in the sparsely populated agricultural Llanos. A rural-dominant pattern: the flood threatens agricultural livelihoods more than large urban cores.

ImplicationResponse should prioritize dispersed rural riverbank communities (hard to reach) and livelihood protection, alongside the urban foci.

LimitsThe 19.3 M denominator is of older vintage: the absolute count is a lower bound (FDO 10).

FDO 03 — Lifelines: roads 31.99% (≈ 34,669 km) and electric grid 27.04% (≈ 11,139 km)

Source/traceRoad-length and electric-grid layers intersected with the posterior; lengths in km not affected by the area defect.

ExpertNearly a third of the mapped road network and over a quarter of the grid fall inside the posterior. The ground concordance confirms it: the Troncal 007 highway (Portuguesa–Lara) was cut by a partial bridge collapse on June 28, isolating Peña Blanca parish.

ImplicationAnticipate rural and secondary-trunk road cuts and electricity-distribution disruption across the Llanos. Aid logistics — already strained by the earthquake — must plan alternate routes and communications redundancy.

FDO 04 — 24.45% of mapped urban area inside the posterior

Source/traceUrban class, fraction-preserving aggregation at exposureScale = 1,000 m.

ExpertIntermediate urban exposure. The urban foci sit mainly in llano county seats (Acarigua–Araure, Guanare, San Carlos, Calabozo) and the Valencia–Maracay axis, not in the Caracas conurbation.

ImplicationUrban civil protection in the llano county seats should activate drainage and low-area evacuation protocols. Absolute hectare total not quotable (FDO 08).

Media-triangulation FDOs

FDO 05 — CONCORDANCE: Portuguesa flooding (June 28) inside the western-Llanos posterior

Source/traceHighest agricultural-signal zone of the model (Image 3) vs. June 28, 2026 ground reports: overflows in Chabasquén, Monseñor José Vicente de Unda municipality.

SimpleThe model flagged the western Llanos as a priority zone; days later Portuguesa flooded. Both describe the same geography.

Expert114 mm in >8 h overflowed the Chabasquén and Chabasquencito rivers and the Comando de la Guardia, Los Güedez and La Escuelita 3 creeks; >100 displaced families (350 per Vente Venezuela / María Oropeza), no fatalities. Honest nuance: the point event occurred in Portuguesa's Andean piedmont (Unda/Sucre/Guanare), whereas the bulk of the posterior mass in Image 3 covers the alluvial plain (Acarigua–Araure–Turén). The concordance is at state and river-network scale — the same storm system feeds both — not pixel-by-pixel.

ImplicationPublishable JANUS-triangulation case: the model identified the at-risk basin from Earth-observation data. Volunteers with contacts in Portuguesa can validate additional low-lying areas (Cojedes, Barinas).

LimitsCo-occurrence, not multi-day forecast lead: the run and the event are near-simultaneous. A scheduled daily-run regime would yield true forecast-leading triangulation.

FDO 06 — COMPOUND HAZARD (outside the model): La Guaira earthquakes as a vulnerability multiplier

Source/traceVerified press (June 24–29, 2026): EFE, Infobae, La Patilla, CNN en Español, AP, Reuters, Univision; USGS for location; Wikipedia (timeline).

SimpleWhile the country is still rescuing earthquake victims, rains threaten other regions. The two disasters overlap in time and population.

ExpertTwo quakes (M7.2 and M7.5, ~40 s apart, June 24) — the strongest in Venezuela in over a century — devastated La Guaira (Caraballeda, Catia La Mar) and damaged Caracas and Maiquetía. Toll as of June 29: 1,719 dead, 5,034 injured, >15,000 displaced families, >100 buildings collapsed, 214+ aftershocks, international flights restricted. The flood component does not model seismicity; but the earthquake degrades structures, drainage and response capacity directly beneath the coastal band of the posterior, leaving thousands in the open and more exposed to any hydrological event.

ImplicationMulti-hazard planning: along the central strip (La Guaira, Vargas, northern Carabobo/Aragua), any intense rainfall over destabilized slopes raises mudflow risk — a direct precedent in the Vargas Tragedy (1999). Coordinate structural assessment (Presidential Habitability Commission) with hydrometeorological slope monitoring.

LimitsDeath/missing figures are evolving and disputed between official and opposition sources; ranges, not certainties, are cited.

Adversarial / methodological FDOs

FDO 07 — Strength: the El Niño baseline matches the current ENSO state

Source/traceModel baseline: El Niño (CHIRPS 2019, 2023, 2024). NOAA CPC, June 2026: El Niño Advisory active; conditions present and intensifying (Niño 3.4 ≈ +1.7 °C mid-June; peak expected SON 2026).

ExpertThe baseline matches the observed phase, so the "wetter-than-baseline" anomaly is evaluated against a correct expectation. Sensitivity note: an alternate run with a La Niña baseline (2020, 2021) exists and produces a far more extensive posterior over the north of the country; given the active El Niño Advisory, the El Niño run is the appropriate baseline for this window.

ImplicationAnchor 2026 as an El Niño year in the ENSO table. Maintenance, not a defect.

FDO 08 — Area-class absolute totals are not quotable; ratios remain interpretable

Source/trace"Built-up footprint" denominator ≈ 90.9 M ha and "protected areas" ≈ 51.6 M ha — on the order of the country's land area (~91.6 M ha), implausible as thematic areas.

ImplicationQuote percentages, not absolutes, for cropland, urban, built-up, protected and oil palm. Same defect documented in El Salvador, Guatemala, Colombia and Nuevo León runs. Patch path identified; logged as repository maintenance.

FDO 09 — Scope honesty: the flood model does not represent seismic hazard

Source/traceRun parameters: model=bayesian, flood class; no seismological layer.

ExpertThe visual overlap between the coastal flood posterior and the seismic disaster zone is contextual, not modelled causality. The June 24 damage was neither produced nor anticipated by this run. Including the earthquake as FDO 06 honours the JANUS "no claim without a trace" discipline: it is explicitly labelled media triangulation and a vulnerability multiplier, kept separate from the model output.

ImplicationFor seismic/structural risk, refer to USGS, FUNVISIS and the Presidential Habitability Commission. For post-earthquake slope mudflows, a landslide-susceptibility model is required, not this component.

FDO 10 — The population denominator is of older vintage (lower bound)

Source/traceGPWv4 population raster (vintage ~2010–2015); mapped denominator 19.3 M.

ImplicationThe percentage (18.97%) is robust as a ratio; the absolute count (~3.66 M) is a lower bound and should not be presented as a current census, particularly after years of migration.

5. Limitations & caveats

• Risk, not confirmed flooding. The posterior is a probability surface; Portuguesa corroborates it locally, but most of the posterior is not ground-verified.
• Co-occurrence, not lead time. The run is near-simultaneous with the Portuguesa event (FDO 05).
• The earthquake is outside the model. It is included as triangulated context (FDO 06/09), not as flood-component output.
• GFS resolution ~0.25° (~25 km): does not resolve sub-municipal precipitation variation.
• Hazard coefficients originally calibrated for Colombia; Venezuela's runoff regimes have not been formally re-tuned.
• Area-class absolute totals not quotable (FDO 08); population denominator of older vintage (FDO 10).
• Earthquake figures evolving and disputed between official and opposition sources; ranges are reported.

6. AI-use disclosure & reflexive memo (JANUS)

LLM assistance. A large language model assisted with: structuring the sections, drafting the plain-language (Simple) text of each FDO, executing the media triangulation (EFE, Infobae, La Patilla, teleSUR, RPP, Diario Correo, Semana, CNN en Español, AP, Reuters, Univision, NOAA CPC, USGS) and weaving the convergent findings into the FDO structure. The LLM did not generate the model output, fabricate exposure figures, or invent the reported ground events.

Provenance. Exposure figures read directly from the model's exposure panel (national run, El Niño baseline, balanced prior). Images 1–4 provided by the analyst (Google Earth Engine). ENSO state: NOAA CPC June 2026 discussion. Median media-source recency: 1 day.

Reflexive memo (positionality). The analyst is an outsider to Venezuela's local governance structures. Institutional naming (Protección Civil, FUNVISIS, INAMEH, the Portuguesa and La Guaira governorships) should be validated by people with ground familiarity before official dissemination. The context is polarized and casualty figures differ across sources; the report presents ranges and attributes each figure.

Adversarial pass. (1) The 69% cropland reading is a model defect — rejected: the posterior concentration over the Llanos is real geography and is corroborated by Portuguesa. (2) The Portuguesa concordance is coincidence — partially accepted: co-occurrence, not lead time. (3) The earthquake "validates" the model — rejected: it is out of scope (FDO 09). (4) The hectare totals are communicable — rejected: area-aggregation defect (FDO 08). (5) The El Niño baseline inflates exposure — partially accepted: percentages robust as ratios, magnitudes slightly sensitive, but the baseline is aligned with the current state (FDO 07).

Claim–evidence contract. Every factual assertion links to (a) the model's exposure panel, (b) an image from the run, or (c) a verified press source cited in §7. Assertions failing the contract were not included.

7. Sources

Model run. Capybara Multi-Hazard Model (Bayesian flood class), Google Earth Engine. JANUS analytic framework: Feged 2025, DOI 10.21203/rs.3.rs-7580516/v1.

Portuguesa flooding (June 28, 2026):

• Displaced families in Chabasquén — Infobae/EFE · La Patilla · teleSUR
• 114 mm, rivers and creeks, Troncal 007 — Diario Correo · RPP · Semana

La Guaira earthquakes (June 24, 2026):

• Timeline and toll — Wikipedia: 2026 Venezuela earthquakes · CNN en Español
• La Guaira damage, satellite imagery, Vargas Tragedy — Univision · El Colombiano

ENSO state: NOAA Climate Prediction Center, El Niño Advisory/Discussion, June 2026 — CPC ENSO Discussion · NOAA.

Document generated: June 30, 2026 · Model: Integrated Multi-Hazard — Flood (Bayesian) · Forecast: GFS short-term ≤168 h · National run (Venezuela, standard profile) · ENSO baseline: El Niño (aligned with current state per NOAA CPC) · Prior balance: balanced · Visualization: SRTM-shaded posterior · Classification: UNCLASSIFIED / FOR PLANNING USE.

Labels: Early Warning System, Situation Report, Venezuela, Portuguesa, La Guaira, Floods, Earthquake, Bayesian fusion, JANUS, triangulation, Llanos, ENSO El Niño, multi-hazard.