Published August 20, 2024 | Version 1
Dataset Open

Nairobi and Istanbul Multi-Hazard Interrelationships Database

  • 1. ROR icon International Institute for Applied Systems Analysis
  • 2. ROR icon King's College London
  • 3. ROR icon Boğaziçi University
  • 4. ROR icon British Geological Survey
  • 5. ROR icon Cardiff University
  • 6. ROR icon University of Sussex
  • 7. ROR icon Kandilli Observatory and Earthquake Research Institute
  • 8. ROR icon University College London
  • 9. ROR icon Durham University

Description

Nairobi and Istanbul Multi-Hazard Interrelationships Database

10.5281/zenodo.13220740

This Nairobi and Istanbul Multi-Hazard Interrelationships Database uses a critical review of 135 sources (academic and grey literature, databases, online and social media), to identify the breadth of natural hazard types that might influence Nairobi (19 possible natural hazard types) and Istanbul (23 hazard types). We further identified hazard interrelationship pairs (e.g., an earthquake triggering landslides) in Nairobi (88 potential hazard interrelationship pairs) and Istanbul (105 hazard pairs) out of a possible 576 interrelationships. This extensive Excel (140 kb) database accompanies the paper Šakić Trogrlić et al. (2024).

The Nairobi and Istanbul Multi-Hazard Interrelationships Database consists of the following eight tabs (in brackets the number of rows [R] × columns [C] of information):

  • Excel Tab A.          Single Hazard Evidence Nairobi (87R×16C)
  • Excel Tab B.          Single Hazard Evidence Istanbul (68R×11C)
  • Excel Tab C.          Hazard Interrelationships Nairobi (118R×14C)
  • Excel Tab D.          Hazard Interrelationships Istanbul (122R×13C)
  • Excel Tab E.          Definitions (Evidence Types) (7 definitions)
  • Excel Tab F.          Definitions (Hazards) (31R×5C)
  • Excel Tab G.         Definitions (Hazard Relations) (3 definitions)
  • Excel Tab H.          References

 For Nairobi (Tab A) and Istanbul (Tab B), each row in the database presents a source of evidence of a single hazard type influencing Nairobi or Istanbul. We compiled multiple evidence sources for many of the hazard types, each on its own row. In columns, we describe the evidence through various qualifiers, including the following:

  • identifying the hazard type (24 possible hazard types)
  • source information and URL link
  • source content
  • hazard interrelationships
  • anthropogenic influences
  • video evidence
  • source reflections

 For Nairobi (Tab C) and Istanbul (Tab D), each row in the databases presents a source of evidence of a hazard interrelationship in Nairobi or Istanbul. In columns, we describe the evidence through various qualifiers, including the following:

  • primary hazard (24 hazard types)
  • secondary hazard (where applicable, the same 24 hazards as for the primary hazard)
  • the generic description of hazard interrelationship mechanisms
  • whether the relationship is triggered or increased probability or both
  • source information and URL link
  • source content (e.g., interrelationship type, description, and hazard sequence)

The reader is referred to Šakić Trogrlić et al. (2024) for a detailed description of the methodology by which this database was constructed.

References

Šakić Trogrlić, R., Thompson, H. E., Yahya Menteşe, E., Hussain, E., Gill, J. C., Taylor, F. E., Mwangi, E., Öner, E., Bukachi, V. G., & Malamud, B. D. (2024). Multi-hazard interrelationships and risk scenarios in urban areas: A case of Nairobi and Istanbul. Earth’s Future. 12, e2023EF004413. https://doi.org/10.1029/2023EF004413

Files

Readme_Nairobi_Istanbul_MultiHazardInterrelationships_Database_20Aug2024.pdf

Additional details

Related works

Is supplement to
Journal: 10.1029/2023EF004413 (DOI)

Funding

UK Research and Innovation
Tomorrow's Cities Hub GCRF: NE/S009000/1
British Geological Survey
BGS International NC programme ‘Geoscience to tackle Global Environmental Challenges’ NE/X006255/1
UK Research and Innovation
Urban Africa Risk Knowledge (Urban ARK) DfID-ESRC grant ES/L008777/1

Dates

Available
2024-08-20
Dataset made available