Articles | Volume 9, issue 4
Nat. Hazards Earth Syst. Sci., 9, 1509–1528, 2009
Nat. Hazards Earth Syst. Sci., 9, 1509–1528, 2009

  28 Aug 2009

28 Aug 2009

"Last-Mile" preparation for a potential disaster – Interdisciplinary approach towards tsunami early warning and an evacuation information system for the coastal city of Padang, Indonesia

H. Taubenböck1,2, N. Goseberg3, N. Setiadi4, G. Lämmel5, F. Moder6, M. Oczipka7, H. Klüpfel8, R. Wahl9, T. Schlurmann3, G. Strunz1, J. Birkmann4, K. Nagel5, F. Siegert6, F. Lehmann7, S. Dech1,2, A. Gress9, and R. Klein9 H. Taubenböck et al.
  • 1German Remote Sensing Data Center (DFD), German Aerospace Center (DLR), 82234 Oberpfaffenhofen, Germany
  • 2Julius-Maximilians University Würzburg, Geographical Institute, Earth Observation, 97074 Würzburg, Germany
  • 3Leibniz University Hannover, Franzius-Institut für Wasserbau und Küsteningenieurwesen, 30167 Hannover, Germany
  • 4United Nations University, Institute for Environment and Human Security (UNU-EHS), 53113 Bonn, Germany
  • 5Technical University Berlin, Verkehrssystemplanung und Verkehrstelematik, Institut für Land- und Seeverkehr, Fakultät V – Verkehr- und Maschinensysteme, 10587 Berlin, Germany
  • 6Remote Sensing Solutions GmbH (RSS), 81667 München, Germany
  • 7Institut für Robotik und Mechatronik, German Aerospace Center (DLR), Berlin-Adlershof, Germany
  • 8TraffGo HT GmbH, Falkstr. 73–77, 47058 Duisburg, Germany
  • 9Insitute of Computer Science II, University of Bonn, 53117 Bonn, Germany

Abstract. Extreme natural events, like e.g. tsunamis or earthquakes, regularly lead to catastrophes with dramatic consequences. In recent years natural disasters caused hundreds of thousands of deaths, destruction of infrastructure, disruption of economic activity and loss of billions of dollars worth of property and thus revealed considerable deficits hindering their effective management: Needs for stakeholders, decision-makers as well as for persons concerned include systematic risk identification and evaluation, a way to assess countermeasures, awareness raising and decision support systems to be employed before, during and after crisis situations. The overall goal of this study focuses on interdisciplinary integration of various scientific disciplines to contribute to a tsunami early warning information system. In comparison to most studies our focus is on high-end geometric and thematic analysis to meet the requirements of small-scale, heterogeneous and complex coastal urban systems. Data, methods and results from engineering, remote sensing and social sciences are interlinked and provide comprehensive information for disaster risk assessment, management and reduction. In detail, we combine inundation modeling, urban morphology analysis, population assessment, socio-economic analysis of the population and evacuation modeling. The interdisciplinary results eventually lead to recommendations for mitigation strategies in the fields of spatial planning or coping capacity.