Great earthquake in an ageing region

A conditional statement under stated assumptions, never a prediction.

1 min read0 figures0 tables0 notesNR-COUNTRY-JPN-2026-BASELINE

Contents
  1. ·Edition home
  2. ·Executive summary
  3. 1Japan’s risk is seismic, climatic and demographic at once
  4. 2Key findings
  5. 3Systems and sectors at baseline
  6. 4Risks and capability
  7. 5Great earthquake in an ageing region
    1. 5.1 Assumptions
    2. 5.2 The cascade, step by step
    3. 5.3 The scenario as a table of steps
  8. 6Lenses and readings
  9. 7The 2027 agenda
  10. 8Systems in depth
  11. AMethodology
  12. BData appendix
  13. CReferences and record
  14. ·Complete edition, for print

5.1Assumptions

Scenario SCN-JPN-EQL-01: what is assumed, and what is held constant.

Baseline
the 2026 reference state in this edition
Drivers
a magnitude 7.5 or larger earthquake in a remote, ageing coastal region in winter, followed by heavy rain within months
Analogues
Noto Peninsula 2024; Kumamoto 2016
Interventions
none modelled, the specification describes the unmitigated case
Run state
narrative specification; quantified Foundry run scheduled for Q1 2027

5.2The cascade, step by step

  1. 1

    SEI → INF

    roads and ports cut; communities isolated

    Noto 2024

  2. 2

    SEI → WAT

    pipes break; supply out for weeks to months

    Noto 2024

  3. 3

    WAT → HLT

    care homes and hospitals lose water and sanitation

    Noto 2024

  4. 4

    CLI → HLT

    winter cold raises disaster-related deaths

    Noto 2024

  5. 5

    CLI → INF

    later heavy rain reopens landslides

    September 2024

  6. 6

    HLT → population

    older residents relocate; recovery slows

    Tōhoku 2011

5.3The scenario as a table of steps

How the shock in scenario SCN-JPN-EQL-01 would travel through Japan’s coupled systems, step by step, under the assumptions the edition states.

StepWhat happensSource
01 SEI to infrastructureRoads and ports cut; communities isolated. Analogue or source: Noto 2024.Edition JPN, scenario SCN-JPN-EQL-01, step 1
02 SEI to waterPipes break; supply out for weeks to months. Analogue or source: Noto 2024.Edition JPN, scenario SCN-JPN-EQL-01, step 2
03 Water to healthCare homes and hospitals lose water and sanitation. Analogue or source: Noto 2024.Edition JPN, scenario SCN-JPN-EQL-01, step 3
04 Climate to healthWinter cold raises disaster-related deaths. Analogue or source: Noto 2024.Edition JPN, scenario SCN-JPN-EQL-01, step 4
05 Climate to infrastructureLater heavy rain reopens landslides. Analogue or source: September 2024.Edition JPN, scenario SCN-JPN-EQL-01, step 5
06 Health to populationOlder residents relocate; recovery slows. Analogue or source: Tōhoku 2011.Edition JPN, scenario SCN-JPN-EQL-01, step 6

A teaching model of a conditional scenario under the edition’s stated assumptions: not a forecast, not a prediction and not a warning. Sources: Japan 2026, scenario SCN-JPN-EQL-01 (2026); Japan 2026, references (NR-CIT-1) (2026).

Cite this chapter

Valadbaygi, S. (Ed.). (2026). Chapter 5: Great earthquake in an ageing region. In Japan Systems Risk and Resilience Report 2026: The State of Japan’s Interdependent Systems (Baseline Edition 2026, Report No. NR-COUNTRY-JPN-2026-BASELINE) [Draft under review]. The Global Centre for Risk and Innovation (GCRI).

Every citation form of the whole report, BibTeX and RIS included, is on the edition home. Cite this report

ReportsContribute

Send evidence or a correction on Japan.

Reports is the Consortium’s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.

Global Risks ForumCountry Systems Risk and Resilience
The Global Risks Forum

Convening · leadership · urgency

Not for profit

Our articles, maps and twins are free to read and free to republish. Readers and partners keep it that way.

Support our work

Who funds us

GRF is a not-for-profit institution. To ask who funds a piece of work, use the funding questions form.

Independence

Editors and the expert reviewers named on each article decide what we publish. Funders and partners do not review or approve articles before publication.

Licence

Articles: CC BY 4.0. Figures, maps, twins and data: CC BY 4.0. Other uses: ask through the permissions form.