WP2 – Hazards Assessment

WP 2 focusses on the physical processes of natural hazards and their interaction with human systems. This is done in two parts: (i) multi-hazard interactions impact on infrastructure networks and (ii) climate downscaling for urban planning and incorporation into decision making. This research requires original ways to collect and interrogate data on hazards and impact in an African development context; and novel approaches to modelling hazard impact upon the built environment. Work will target Karonga, Nairobi and to a lesser extent Ibadan. 

WP2.1 Single and multi-hazard impacts on infrastructure: 

Work will be performed in partnership with local city teams to:

  1. Explore physical and technological hazard interactions that have occurred in the past (through published literature, grey literature, interviews).
  2. Assess the impact of hazard interactions on networked infrastructure by studying what properties of the built environment may intensify or lessen the impacts of a hazard.
  3. Develop and use computer simulation models that use the properties of infrastructure networks for some of the case study cities to simulate multiple combinations of hazards and events of different size for alternative scenarios of vulnerability based on local assessments (e.g., population densities, presence/adherence to building codes).
  4. Explore with local partners how simulated impacts on infrastructure networks may be mitigated to reduce the impacts of event sizes in the future (e.g., under changed climates or different sized infrastructure topologies). These mitigation measures might include changes to infrastructure networks or repositioning of emergency and/or heath care service centres to more resilient points in the network. 

The research and modelling will use spatial data and be implemented within a Geographical Information System (GIS) framework to enable the production, and visualization of probabilistic risk maps.  

WP2.2 Climate and Risk in Urban Settings: 

Research will: 

  1. Supplement existing archives of climate data from the University of Cape Town Climate Systems Analysis Group (CSAG) for local case study sites with existing Archives (e.g., using local Meteorological Services). 
  2. Supplement observed climate data with other anecdotal or official information about historical disasters or extreme events related to climate extremes.  
  3. Produce future climate projections using both global model data, which is already available in the form of theCMIP5 model Archives, and downscaled data.  

In order to better understand and model the impact of hazards in urban Africa, datasets such as records of the past incidences of hazard events, infrastructure maps and environmental observations are required. Yet, access to data is a major limitation in many developing countries (Leidig and Teeuw, 2015). To partially address this issue, Urban ARK WP2.1 have complied a database of 73 datasources relevant to understanding urban risk in Africa, most of which are freely available to download for many locations across Africa and the globe. A list of these datasources, some metadata and notes about uncertainties/limitations is available to view at: http://tinyurl.com/africa-datasets. We are keen to receive feedback and suggestions for additions to this database - if you use this database, or have comments, please contact faith.taylor@kcl.ac.uk to let us know your thoughts. We hope this living document is a useful resource to many working in the fields of disasters, infrastructure, environmental science and cartography, and welcome you to share and collaborate in this work.

This publication covers a range of disaster risk management (DRM) themes, from community participation in DRM data collection to risk mapping and from urban waste management to hazard accumulation

Author(s): 

Mark Pelling

In African cities, orienting risk management towards a developmental agenda can

confront the root causes of poverty and risk. Transition to an integrated approach has

Urbanization is a major feature of global population redistribution, and Sub-Saharan Africa (SSA), though currently ranked as the least urbanized region of the world, is the most rapidly urbanizing

Dominant global climate change narratives and framings frequently do not translate well into local adaptation decision making.

Small- and medium-sized cities and towns in sub-Saharan Africa are growing fast and accumulating risks.

This briefing outlines the development of community-led research to promote urban governance for resilience and how impactful partnerships can be created within a research programme.

In Dar es Salaam, climate model analysis strongly suggests that both day- and nighttime temperatures will rise, with heat waves also expected to increase.

Around half of the urban population in sub-Saharan Africa live in informal settlements, lacking the basic infrastructure and services on which good health depends.

Nairobi has a subtropical highlands climate.

Pages

Subscribe to RSS - WP2 – Hazards Assessment