Abstract
In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information to represent exposure and vulnerability to flooding. Most current large-scale assessments use an aggregated land-use category to represent the exposure, treating all exposed elements the same. For large areas where previously only coarse information existed such as in Africa, more detailed exposure data are becoming available. For our approach, a direct relation between the construction type and building material of the exposed elements is used to develop vulnerability curves. We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment. We applied the model to Ethiopia and found that rural flood risk accounts for about 22% of simulated damage; rural damage is generally neglected in the typical land-use-based damage models, particularly at this scale. Our approach is particularly interesting for studies in areas where there is a large variation in construction types in the building stock, such as developing countries.
| Original language | English |
|---|---|
| Pages (from-to) | 1703-1722 |
| Number of pages | 20 |
| Journal | Natural Hazards and Earth System Sciences |
| Volume | 19 |
| Issue number | 8 |
| DOIs | |
| Publication status | Published - 12 Aug 2019 |
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Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas. / Englhardt, Johanna; de Moel, Hans; Huyck, Charles K.; de Ruiter, Marleen; Aerts, J.C.J.H.; Ward, Philip.
In: Natural Hazards and Earth System Sciences, Vol. 19, No. 8, 12.08.2019, p. 1703-1722.Research output: Contribution to Journal › Article › Academic › peer-review
TY - JOUR
T1 - Enhancement of large-scale flood risk assessments using building-material-based vulnerability curves for an object-based approach in urban and rural areas
AU - Englhardt, Johanna
AU - de Moel, Hans
AU - Huyck, Charles K.
AU - de Ruiter, Marleen
AU - Aerts, J.C.J.H.
AU - Ward, Philip
PY - 2019/8/12
Y1 - 2019/8/12
N2 - In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information to represent exposure and vulnerability to flooding. Most current large-scale assessments use an aggregated land-use category to represent the exposure, treating all exposed elements the same. For large areas where previously only coarse information existed such as in Africa, more detailed exposure data are becoming available. For our approach, a direct relation between the construction type and building material of the exposed elements is used to develop vulnerability curves. We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment. We applied the model to Ethiopia and found that rural flood risk accounts for about 22% of simulated damage; rural damage is generally neglected in the typical land-use-based damage models, particularly at this scale. Our approach is particularly interesting for studies in areas where there is a large variation in construction types in the building stock, such as developing countries.
AB - In this study, we developed an enhanced approach for large-scale flood damage and risk assessments that uses characteristics of buildings and the built environment as object-based information to represent exposure and vulnerability to flooding. Most current large-scale assessments use an aggregated land-use category to represent the exposure, treating all exposed elements the same. For large areas where previously only coarse information existed such as in Africa, more detailed exposure data are becoming available. For our approach, a direct relation between the construction type and building material of the exposed elements is used to develop vulnerability curves. We further present a method to differentiate flood risk in urban and rural areas based on characteristics of the built environment. We applied the model to Ethiopia and found that rural flood risk accounts for about 22% of simulated damage; rural damage is generally neglected in the typical land-use-based damage models, particularly at this scale. Our approach is particularly interesting for studies in areas where there is a large variation in construction types in the building stock, such as developing countries.
UR - http://www.scopus.com/inward/record.url?scp=85070608322&partnerID=8YFLogxK
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U2 - 10.5194/nhess-19-1703-2019
DO - 10.5194/nhess-19-1703-2019
M3 - Article
VL - 19
SP - 1703
EP - 1722
JO - Natural Hazards and Earth System Sciences
JF - Natural Hazards and Earth System Sciences
SN - 1561-8633
IS - 8
ER -