Summary
This is the operational runbook that turns a real-world earthquake into a CivOS control run.
It defines:
- what data to ingest (ICL telemetry)
- how to project the event into CivOS phase space
- how to classify regimes (laminar / shear / turbulent)
- how to estimate propagation rates (dP/dt, dB/dt, dK/dt, dZ/dt)
- how to size recovery actions (minimum control input)
This runbook is written for any inland earthquake and includes a Kyoto instantiation.
🔒 Definition Lock Box
LOCK: Events are disturbance vectors applied to CivOS phase space.
LOCK: ICL telemetry converts narrative updates into control-grade state estimates.
LOCK: Recovery actions can be sized once state + rates are measurable.
Almost-Code Spec Block (Runbook v0.1)
SpecID: CivOS.Runbook.EQ.v0.1Name: Earthquake Event Runbook (Inland, No Tsunami)Type: RunbookParent: CivOS.ICL.SeriesInput: EventDescriptor E TelemetryFrames TF[]Output: RegimeClass R (Laminar|Shear|Turbulent) StateEstimate S_hat over Ω_civ RateEstimate dS/dt ControlPlan U_min (minimum actions to recover)
0) Event Descriptor (E)
EventDescriptor.EQ: event_type: EARTHQUAKE magnitude: Mw or Richter (if available) intensity: JMA_shindo (preferred) or inferred band epicenter: lat, lon depth_km: number|unknown time_utc: ISO8601 footprint_place_ids: PlaceID[] tsunami: {none|possible|confirmed} // for this runbook: none secondary_risks: {fire, landslide, industrial, dam, aftershock_high}
Rule.EQ.IntensityPreference:
If intensity (JMA_shindo) exists -> use intensity as primary shock input.Else -> infer intensity band from magnitude + depth + footprint reports.
1) CivOS Projection: Ωᶜᶦᵛ = (X, Z, P, B, K, T)
1A) Domain Projection (X-axis)
Earthquakes always strike Infrastructure first, then cascade.
DomainPriority.EQ.Primary: INFRA // power, water, gas, telecoms, buildings TRANS // rail, roads, stations, logistics HLTH // injuries, triage, hospital surge GOV // command, coordination, public order LAW // emergency enforcement, safety complianceDomainPriority.EQ.Secondary: EDU // school safety closures, childcare disruption FIN // claims, liquidity, business continuity FAM // housing displacement, caregiver strain CULT // crowd pressure hotspots (tourism zones) PROD // factories, supply chain interruptions
1B) Zoom Projection (Z-axis)
ZoomSet.EQ.Local: Z0: dependent nodes (children, frail elderly, inpatients) Z1: households/workers Z2: caregivers/teachers/nurses Z3: institutional stabilisers (hospital ops, police/fire leads, utility ops) Z4: city operators (grid control, transit control, shelter network)
2) Telemetry Intake (ICL)
This runbook consumes TelemetryFrames (CTS schema) plus event-specific feeds.
ICL.Intake.EQ.v0.1: RequiredFeeds: F1: SeismicIntensityByArea (JMA or equivalent) F2: PowerStatus (outage %, critical nodes) F3: WaterGasStatus (pressure / shutoff / leaks) F4: TelecomStatus (congestion, outages) F5: TransportStatus (rail lines halted, road closures) F6: MedicalStatus (injury surge, ED load, bed margin) F7: SafetyStatus (fires, building collapses, emergency calls) F8: ShelterStatus (open/occupancy, heat/cold exposure) OptionalFeeds: O1: AftershockForecastBand O2: Landslide/FireRiskMap O3: CrowdPressure (tourism density / event venues)
Rule.Intake.MinimumViable:
If only 4 items are available: use {F1 intensity, F2 power, F5 transport, F6 medical}and run coarse regime + coarse recovery sizing.
3) Baseline State (Pre-shock)
We need the pre-event state estimate S0.
StateEstimate.S0: P0(X,Z) // baseline reliability B0(X,Z) // baseline buffers (Bt,Br,Bc,Bco,Bs) K0(X↔X', Z↔Z') // baseline coupling matrix
Rule.Baseline.Default:
If S0 unknown: assume P0= P2 in core civic subsystems assume B0 = medium for Bt/Br/Bco, variable for Bs/Bc assume K0 high in TRANS and telecom, medium in INFRA, lower in EDUMark confidence low and update as TF arrives.
4) Regime Classification (Laminar / Shear / Turbulent)
Regime is determined by shock vs buffers + coupling escalation.
RegimeDecision.EQ: Let Shock(X,Z) be intensity-weighted disturbance. Let B_eff(X,Z) be effective buffer in that cell. Let K_eff be coupling escalation in affected corridors. If Shock <= B_eff across critical X in footprint: R = Laminar Else if Shock > B_eff in local footprint but K_eff does not spike: R = Shear (local) Else if Shock >> B_eff and K_eff spikes across multiple domains: R = Turbulent (cascade)
Critical domains for regime:
CriticalX := {INFRA, TRANS, HLTH, GOV}
5) Rate Estimation (Calculus Layer)
Compute the sign and rough magnitude of drift and recovery.
RateSet.EQ: dP/dt per (X,Z) dB/dt per (X,Z) dK/dt in key corridors (power, telecom, transport, hospitals) dZ/dt shear front propagation (downward to Z0, upward to Z4) dL/dt load spikes (ED load, call volume, commute congestion)
Rule.Rates.FastApprox:
If high-frequency telemetry unavailable: estimate rates via delta between consecutive situation reports: dP/dt ≈ (P_t2 - P_t1) / (t2 - t1) Use qualitative bins: {fast_drop, slow_drop, stable, recovering}
6) Minimum Control Plan (U_min): Recovery Sizing
This outputs what actions are required to restore laminar flow.
Control knobs
ControlKnobs.U: U1: Increase B (buffers) // supplies, staff, shelters, comms, time slack U2: Reduce K (coupling) // isolate, segment, reroute, stagger, island U3: Reduce L (load) // restrict flows, defer demand, manage crowds U4: Raise Φr (regen rate) // repair crews, mutual aid, rapid replacement U5: Protect Z0 // targeted support to dependent nodes
Prioritisation rules (earthquake)
PriorityRules.EQ: PR1: Stabilize INFRA to prevent cross-domain cascades. PR2: Keep HLTH below overload threshold (protect B_med). PR3: Protect Z0 immediately (avoid irreversible shear). PR4: Dampen TRANS + telecom congestion (reduce K, reduce L). PR5: Repair-routing: fix nodes that reduce K fastest (bridge nodes).
Output format:
U_min: actions: [ActionID...] target_cells: [(X,Z,PlaceID)...] urgency: {Immediate, 6h, 24h, 72h} expected_effect: {raise_B, reduce_K, reduce_L, raise_P} confidence: 0..1
Kyoto Instantiation (Template Example)
Kyoto Place Block
PlaceID: JPN.KYOTO.CITYPopulation: ~1.46M // source-dependentEvent: EQ Mw6.5 inland, no tsunami
Kyoto First-Pass Projection
Kyoto.PrimaryImpactCells: (INFRA, Z3-Z4, JPN.KYOTO.CITY) (TRANS, Z3-Z4, JPN.KYOTO.CITY) (HLTH, Z3, JPN.KYOTO.CITY) (FAM, Z0-Z1, JPN.KYOTO.CITY)Kyoto.HighSensitivityCells: (Z0 nodes in older housing clusters) (HLTH Z3 if hospital surge capacity thin) (TRANS Z4 if rail corridors halted for inspection)
Kyoto Regime Expectation (without telemetry)
ExpectedRegime: default -> Shear(local) turbulence triggers: - widespread power outage + telecom failure - major rail corridor shutdown across Kansai - hospital overload (ED + ICU saturation)
Kyoto U_min (Default First 6 Hours)
U_min.Kyoto.Default: A1: INFRA priority restore list (hospitals, comms, shelters, water pumps) A2: HLTH surge triage sites + inter-hospital diversion routing A3: Z0 welfare check net (elderly alone, inpatients, childcare nodes) A4: TRANS staged reopening + crowd control + clear comms to reduce K and L A5: Telecom congestion mitigation (public routing guidance, message-board channels)
Failure Mode Trace (Earthquake)
FailureTrace.EQ.001: EQ hits INFRA + TRANS -> K spikes (corridor congestion) -> HLTH load spikes (dL/dt high) -> B_med consumed (dB/dt negative) -> Z0 support collapses (dZ/dt downward) -> P drops into shear band (P1->P0 pockets) -> if INFRA not stabilized: cascade to turbulent regime
Completion Criteria (Return to Laminar)
LaminarReturnCriteria.EQ: INFRA: power/water/telecom stable in critical nodes HLTH: ED load below surge threshold (B_med no longer collapsing) TRANS: core corridors operational with managed load (K reduced) Z0: welfare checks completed + shelter network stable Rates: dP/dt >= 0 and dB/dt >= 0 for critical cells
Notes
This runbook is designed to:
- work with partial data
- improve automatically as TF arrives
- output actionable control sizing instead of narrative summaries
Recommended Internal Links (Spine)
Sholpan Upgrade Training Lattice (SholpUTL): https://edukatesg.com/sholpan-upgrade-training-lattice-sholputl/
https://edukatesg.com/human-regenerative-lattice-3d-geometry-of-civilisation/
https://edukatesg.com/new-york-z2-institutional-lattice-civos-index-page-master-hub/
https://edukatesg.com/civilisation-lattice/
https://edukatesg.com/civ-os-classification/
https://edukatesg.com/civos-classification-systems/
https://edukatesg.com/how-civilization-works/
https://edukatesg.com/civos-lattice-coordinates-of-students-worldwide/
https://edukatesg.com/civos-worldwide-student-lattice-case-articles-part-1/
https://edukatesg.com/new-york-z2-institutional-lattice-civos-index-page-master-hub/
https://edukatesg.com/advantages-of-using-civos-start-here-stack-z0-z3-for-humans-ai/
Education OS (How Education Works): https://edukatesg.com/education-os-how-education-works-the-regenerative-machine-behind-learning/
Tuition OS: https://edukatesg.com/tuition-os-edukateos-civos/
Civilisation OS kernel: https://edukatesg.com/civilisation-os/
Root definition: What is Civilisation?
Control mechanism: Civilisation as a Control System
First principles index: Index: First Principles of Civilisation
Regeneration Engine: The Full Education OS Map
The Civilisation OS Instrument Panel (Sensors & Metrics) + Weekly Scan + Recovery Schedule (30 / 90 / 365)
Inversion Atlas Super Index: Full Inversion CivOS Inversion
Start Here:
https://edukatesg.com/government-os-general-government-lane-almost-code-canonical/
https://edukatesg.com/healthcare-os-general-healthcare-lane-almost-code-canonical/
https://edukatesg.com/education-os-general-education-lane-almost-code-canonical/
https://edukatesg.com/finance-os-general-finance-banking-lane-almost-code-canonical/
https://edukatesg.com/transport-os-general-transport-transit-lane-almost-code-canonical/
https://edukatesg.com/food-os-general-food-supply-chain-lane-almost-code-canonical/
https://edukatesg.com/security-os-general-security-justice-rule-of-law-lane-almost-code-canonical/
https://edukatesg.com/housing-os-general-housing-urban-operations-lane-almost-code-canonical/
https://edukatesg.com/community-os-general-community-third-places-social-cohesion-lane-almost-code-canonical/
https://edukatesg.com/energy-os-general-energy-power-grid-lane-almost-code-canonical/
https://edukatesg.com/community-os-general-community-third-places-social-cohesion-lane-almost-code-canonical/
https://edukatesg.com/water-os-general-water-wastewater-lane-almost-code-canonical/
https://edukatesg.com/communications-os-general-telecom-internet-information-transport-lane-almost-code-canonical/
https://edukatesg.com/media-os-general-media-information-integrity-narrative-coordination-lane-almost-code-canonical/
https://edukatesg.com/waste-os-general-waste-sanitation-public-cleanliness-lane-almost-code-canonical/
https://edukatesg.com/manufacturing-os-general-manufacturing-production-systems-lane-almost-code-canonical/
https://edukatesg.com/logistics-os-general-logistics-warehousing-supply-routing-lane-almost-code-canonical/
https://edukatesg.com/construction-os-general-construction-built-environment-delivery-lane-almost-code-canonical/
https://edukatesg.com/science-os-general-science-rd-knowledge-production-lane-almost-code-canonical/
https://edukatesg.com/religion-os-general-religion-meaning-systems-moral-coordination-lane-almost-code-canonical/
https://edukatesg.com/finance-os-general-finance-money-credit-coordination-lane-almost-code-canonical/
https://edukatesg.com/family-os-general-family-household-regenerative-unit-almost-code-canonical/
