Articles | Volume 11, issue 12
Nat. Hazards Earth Syst. Sci., 11, 3107–3123, 2011
Nat. Hazards Earth Syst. Sci., 11, 3107–3123, 2011

Research article 02 Dec 2011

Research article | 02 Dec 2011

Examination of three practical run-up models for assessing tsunami impact on highly populated areas

A. Muhari1, F. Imamura1, S. Koshimura1, and J. Post2 A. Muhari et al.
  • 1Tsunami Engineering Laboratory, Disaster Control Research Center, Graduate School of Engineering, TOHOKU University, Japan
  • 2German Remote Sensing Data Center, German Aerospace Center (DLR), Muenchner Str. 20, 82234 Wessling, Oberpfaffenhofen, Germany

Abstract. This paper describes the examination of three practical tsunami run-up models that can be used to assess the tsunami impact on human beings in densely populated areas. The first of the examined models applies a uniform bottom roughness coefficient throughout the study area. The second uses a very detailed topographic data set that includes the building height information integrated on a Digital Elevation Model (DEM); and the third model utilizes different bottom roughness coefficients, depending on the type of land use and on the percentage of building occupancy on each grid cell. These models were compared with each other by taking the one with the most detailed topographic data (which is the second) as reference. The analysis was performed with the aim of identifying how specific features of high resolution topographic data can influence the tsunami run-up characteristics. Further, we promote a method to be used when very detailed topographic data is unavailable and discuss the related limitations. To this purpose we demonstrate that the effect of buildings on the tsunami flow can be well modeled by using an equivalent roughness coefficient if the topographic data has no information of building height. The results from the models have been utilized to quantify the tsunami impact by using the tsunami casualty algorithm. The models have been applied in Padang city, Indonesia, which is one of the areas with the highest potential of tsunami risk in the world.