Long-Term Seismic Analysis

Istanbul 2030
Earthquake Risk Forecast

Seismic load analysis of the North Anatolian Fault Marmara segment and probabilistic forecasts for 2026–2030 based on the Gutenberg-Richter law.

HIGH RISK ZONE — NAF Marmara Segment
Model: Regional Band ML
Backtest AUC (M4-5): 0.619
Expanding-window: 11 yr
Base rate: GR-Poisson + ML
High-band models: M6-7 · M7+ active (CV-AUC 0.97/1.00)
Current ML risk (M4-5): 84.2% / 30d
Current ML risk (M5-6): 15.8% / 30d
M5-6
cumulative through 2030
100%
M5–6 magnitude probability
ML now: 15.8% / 30d
M6-7
cumulative through 2030
89.5%
M6–7 magnitude probability
ML now: 10.1% / 30d
M7+
cumulative through 2030
43.7%
M7+ destructive probability

Calibration note: Cumulative figures compound quarterly band forecasts over 20 quarters. For M5-6 and M6-7 the ML risk closely tracks the historical GR-Poisson base rate (Marmara 1900–2024); M7+ ML risk runs ~1.4× above the historical base rate. High-band (M6-7 / M7+) models are recent and not yet validated out-of-sample against actual large events — read these as relative risk indicators for a recognized high-risk seismic gap, not precise probabilities.

01PROSPECTIVE FORECAST
Eren Bostan·[TAL-901]cumulative risk projection

Cumulative Risk 2026–2030

02Cumulative Probability Timeline
Talivio Engine·[TAL-902]year-by-year timeline

2026–2030 Annual Risk Evolution

2026
M5-6
93.9% 50.3%/Q
M6-7
36.2% 10.6%/Q
M7+
10.8% 2.8%/Q
2027
M5-6
99.6% 50.3%/Q
M6-7
59.3% 10.6%/Q
M7+
20.5% 2.8%/Q
2028
M5-6
100% 50.3%/Q
M6-7
74.1% 10.6%/Q
M7+
29.1% 2.8%/Q
2029
M5-6
100% 50.3%/Q
M6-7
83.5% 10.6%/Q
M7+
36.8% 2.8%/Q
2030
M5-6
100% 50.3%/Q
M6-7
89.5% 10.6%/Q
M7+
43.7% 2.8%/Q

Data source: Regional Band ML model (AUC=0.619, 11yr expanding-window backtest) × GR-Poisson base rates (KOERI/MTAS Marmara catalog 1900-2024). GR-Poisson base rates (ML quarterly forecasts not yet generated for this region). All bands (M4-5 / M5-6 / M6-7 / M7+) use active per-band ML models blended with GR-Poisson base rates.

03Target Region
Eren Bostan·[TAL-903]fault segment map

Istanbul & Marmara — Fault Map

04Why So High?
Talivio Engine·[TAL-904]risk factor breakdown

Key Risk Factors

🔴
NAF Marmara Seismic Gap
The Marmara segment of the North Anatolian Fault has been accumulating strain for ~260 years since its last major rupture (1766). Estimated accumulated slip: 3–5 m.
📡
GNSS Strain Rate
GNSS measurements in the Marmara region show 20–26 mm/yr right-lateral slip rate. This is one of Turkey's highest locked fault segments.
🌊
Submarine Fault Geometry
The ~170 km fault segment beneath the Sea of Marmara extends directly under Istanbul. A potential M7.2–7.4 scenario also carries tsunami risk.
📊
Gutenberg-Richter Analysis
1900–2024 catalog data: M5+ annual frequency λ=2.8, M6+ λ=0.45, M7+ λ=0.15. Trend factor 2.0× for the last 10 years (increased activity).
05Quarterly Forecasts
Eren Bostan·[TAL-905]quarterly forecast table

2026–2030 Model Outputs

Period Band Q-Risk (GR+ML) Window Method
2026 M5-6 50.3% 2026-01-01 — 2026-12-31 GR-Poisson
2026 M6-7 10.6% 2026-01-01 — 2026-12-31 GR-Poisson
2026 M7+ 2.8% 2026-01-01 — 2026-12-31 GR-Poisson
2027 M5-6 50.3% 2027-01-01 — 2027-12-31 GR-Poisson
2027 M6-7 10.6% 2027-01-01 — 2027-12-31 GR-Poisson
2027 M7+ 2.8% 2027-01-01 — 2027-12-31 GR-Poisson
2028 M5-6 50.3% 2028-01-01 — 2028-12-31 GR-Poisson
2028 M6-7 10.6% 2028-01-01 — 2028-12-31 GR-Poisson
2028 M7+ 2.8% 2028-01-01 — 2028-12-31 GR-Poisson
2029 M5-6 50.3% 2029-01-01 — 2029-12-31 GR-Poisson
2029 M6-7 10.6% 2029-01-01 — 2029-12-31 GR-Poisson
2029 M7+ 2.8% 2029-01-01 — 2029-12-31 GR-Poisson
2030 M5-6 50.3% 2030-01-01 — 2030-12-31 GR-Poisson
2030 M6-7 10.6% 2030-01-01 — 2030-12-31 GR-Poisson
2030 M7+ 2.8% 2030-01-01 — 2030-12-31 GR-Poisson

Corporate Risk Report

Detailed seismic risk analysis for Istanbul, fault segment rupture scenarios, structural damage estimates, and a complete forecast package through 2030.

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These forecasts are statistical probability models. Exact earthquake timing and magnitude cannot be scientifically predicted. Data is for risk awareness and research purposes only. For information on GR+Trend+ML methodology, see the methodology page.