Sensitivity of Coastal Flood Risk Assessments to Digital Elevation Models

Bas Van De Sande,Claartje Hoyng,Joost Lansen

doi:10.3390/w4030568

Bas Van De Sande, Claartje Hoyng + Show 1 more

Open Access

https://doi.org/10.3390/w4030568

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Journal: Water	Publication Date: Jul 27, 2012
Citations: 79	License type: CC BY 4.0

Affiliation: Royal HaskoningDHV (Netherlands)

Abstract

Most coastal flood risk studies make use of a Digital Elevation Model (DEM) in addition to a projected flood water level in order to estimate the flood inundation and associated damages to property and livelihoods. The resolution and accuracy of a DEM are critical in a flood risk assessment, as land elevation largely determines whether a location will be flooded or will remain dry during a flood event. Especially in low lying deltaic areas, the land elevation variation is usually in the order of only a few decimeters, and an offset of various decimeters in the elevation data has a significant impact on the accuracy of the risk assessment. Publicly available DEMs are often used in studies for coastal flood risk assessments. The accuracy of these datasets is relatively low, in the order of meters, and is especially low in comparison to the level of accuracy required for a flood risk assessment in a deltaic area. For a coastal zone area in Nigeria (Lagos State) an accurate LiDAR DEM dataset was adopted as ground truth concerning terrain elevation. In the case study, the LiDAR DEM was compared to various publicly available DEMs. The coastal flood risk assessment using various publicly available DEMs was compared to a flood risk assessment using LiDAR DEMs. It can be concluded that the publicly available DEMs do not meet the accuracy requirement of coastal flood risk assessments, especially in coastal and deltaic areas. For this particular case study, the publically available DEMs highly overestimated the land elevation Z-values and thereby underestimated the coastal flood risk for the Lagos State area. The findings are of interest when selecting data sets for coastal flood risk assessments in low-lying deltaic areas.

Highlights

Coasts are experiencing the adverse consequences of hazards related to climate change and sea level rise and will be exposed to increasing risks of coastal flooding [1,2,3]
The results show that the estimated Low Elevation Coastal Zone (LECZ) area estimated by the SRTM Digital Elevation Model (DEM) is four times smaller than the LECZ area estimated by the LiDAR DEM
The flood areas estimated by the ASTER GDEM and the SRTM DEM are significantly smaller than the estimations by LiDAR DEM

Summary

Introduction

Coasts are experiencing the adverse consequences of hazards related to climate change and sea level rise and will be exposed to increasing risks of coastal flooding [1,2,3]. Ten percent of the world’s population lives in the 10 m Low Elevation Coastal Zone This share covers two percent of the world’s land area [4]. This emphasizes the need for coastal flood risk assessments to which GIS (Geographic Information System) components and mapping can be incorporated. One can visualize flood extents by setting an elevation relative to sea level in the chosen application (e.g., Globalfloodmap [5] and the Wikipedia Sea Level Rise Explorer [6]). These tools are mainly used to indicate impacts on a global scale. As of yet it is still unclear and not easy to estimate to what extent these tools and its underlying data can be used in other (smaller) scaled spatial analyses (Figure 1)

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Conclusion