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| Titel |
Identifying urban infrastructure multi-hazard risk in developing country
contexts |
| VerfasserIn |
Faith Taylor, Bruce Malamud, James Millington |
| Konferenz |
EGU General Assembly 2017
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| Medientyp |
Artikel
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| Sprache |
en
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| Digitales Dokument |
PDF |
| Erschienen |
In: GRA - Volume 19 (2017) |
| Datensatznummer |
250145377
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| Publikation (Nr.) |
 EGU/EGU2017-9313.pdf |
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| Zusammenfassung |
| This work presents a method to coarsely zone urban areas into different infrastructure
typologies, from which physical vulnerability to a range of natural hazards and multi-hazard
interactions can be estimated, particularly for developing country contexts where access to
data can be a challenge. This work builds upon techniques developed for urban
micrometeorology for classifying 12 urban typologies (Stewart and Oke, 2011) using Landsat
8 30 m × 30 m remote sensing imagery (Betchel et al., 2015). For each of these 12 urban
typologies, we develop general rules about the presence, type and level of service of 10 broad
categories of infrastructure (including buildings, roads, electricity and water), which we refer
to as ‘urban textures’. We have developed and applied this technique to five urban areas
varying in size and structure across Africa: Nairobi (Kenya); Karonga (Malawi);
Mzuzu (Malawi); Ibadan (Nigeria) and Cape Town (South Africa). For each urban
area, a training dataset of 10 samples of each of the 12 urban texture classes is
digitised using Google Earth imagery. A random forest classification is performed
using SAGA GIS, resulting in a map of different urban typologies for each city.
Based on >1200 georeferenced field photographs and expert interviews for Karonga
(Malawi) and Nairobi (Kenya), generally applicable rules about the presence, type and
level of service of 12 infrastructure types (the ‘urban texture’) are developed for
each urban typology. For each urban texture, we are broadly reviewing how each
infrastructure might be physically impacted by 21 different natural hazards and
hazard interactions. This can aid local stakeholders such as emergency responders
and urban planners to systematically identify how the infrastructure in different
parts of an urban area might be affected differently during a natural disaster event. |
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