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Title: Increasing the understanding and characterisation of natural hazard interactions
Author: Gill, Joel Christopher
ISNI:       0000 0004 6347 6364
Awarding Body: King's College London
Current Institution: King's College London (University of London)
Date of Award: 2016
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This thesis develops global and regional interaction frameworks to enhance understanding, characterisation, and visualisation of natural hazard interactions. This aims to support the international development of multi-hazard methodologies. Chapter 2 presents a comprehensive characterisation and visualisation of the interactions between 21 natural hazards. We critically review 209 references to populate a global interaction matrix with 90 natural hazard interactions, noting case studies for 74 (82%) of these. Chapter 3 develops a multi-hazard framework integrating natural hazards, anthropogenic processes and technological hazards/disasters. Variation in spatial and temporal extent, frequency and impact are examined in the context of four case studies of networks of hazard interactions (cascades). Chapter 4 presents a systematic classification of 18 anthropogenic processes, describing their influence on 21 natural hazards. We critically review 121 references to construct a database of 57 examples of anthropogenic processes triggering natural hazards, with case studies identified for 52 (91%) of these. Chapter 5 uses existing regional interaction frameworks to identify seven challenges when developing regional interaction frameworks: spatial extent, temporal extent, likelihood-magnitude relationships, hazard selection/classification, consensus, visual style, and limitations/uncertainty. We reflect on these challenges using 19 semi-structured interviews and a 3-hour workshop with hazard and civil protection professionals in Guatemala. Chapter 6 develops regional (national/sub-national) interaction frameworks for Guatemala. We use peer- and grey-literature, field observations, interviews and a workshop to construct two hazard interaction matrices: (i) 21×21 national matrix, 49 interactions found; (ii) 33×33 sub-national (Southern Highlands) matrix, 112 interactions found. Using Matthews’ Correlation Coefficient (MCC) the national matrix is contrasted with Guatemalan stakeholders’ individual (0.21≤MCC≤0.45) and collective (MCC=0.51) knowledge. This thesis gives a series of generalised globally relevant and location-specific characterisations of interactions, presented using a range of accessible visualisation formats. These interaction frameworks can contribute to improved theoretical and practical understanding of hazards and disaster risk reduction.
Supervisor: Malamud, Bruce Douglas ; Pelling, Mark Adam Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available