The joint research project funded by DFG/BMBF (Sponsorship code: 03G0666A-H) develops a numerical last-mile tsunami early warning and evacuation information system on the basis of detailed earth observation data and techniques as well as unsteady, hydraulic numerical modelling of small-scale flooding and inundation dynamics of the tsunami, including evacuation simulations in the coastal hinterland for the city of Padang, West Sumatra, Indonesia.
The joint research project is composed of five working packages, based on field expertise of each working partners, namely socio-economic vulnerability assessment (WP 1000), inundation scenarios, flow analysis (WP 2000), geodatabase, information system and vulnerability assessment (WP 3000), evacuation analysis, and pedestrian traffic optimization (WP 4000) and highly-resolved 3D-model of Padang (WP 5000) based on aerial large-scale topographic mapping. The project itself has accomplished its second project year. In the following sections, the actual progress of each working package is briefly explained.
%0 Generic
%1 dlr60598
%A Taubenböck, Hannes
%A Goseberg, Nils
%A Setiadi, Neysa
%A Lämmel, Gregor
%A Moder, Florian
%A Schlurmann, Torsten
%A Oczipka, Martin
%A Klüpfel, Hubert
%A Strunz, Günter
%A Birkmann, Jörn
%A Nagel, Kai
%A Siegert, Florian
%A Lehmann, Frank
%A Dech, Stefan
%A Gress, Alexander
%B Geotechnologien Science Report
%D 2009
%E Stoink, Ludwig
%J Geotechnologien Sciene Report - Early Warning Systems in Earth Management
%K miscellaneous Dech
%T Last-Mile - Numerical Last-Mile Tsunami Early Warning and Evacuation Information System
%U http://elib.dlr.de/60598/
%V 13
%X The joint research project funded by DFG/BMBF (Sponsorship code: 03G0666A-H) develops a numerical last-mile tsunami early warning and evacuation information system on the basis of detailed earth observation data and techniques as well as unsteady, hydraulic numerical modelling of small-scale flooding and inundation dynamics of the tsunami, including evacuation simulations in the coastal hinterland for the city of Padang, West Sumatra, Indonesia.
The joint research project is composed of five working packages, based on field expertise of each working partners, namely socio-economic vulnerability assessment (WP 1000), inundation scenarios, flow analysis (WP 2000), geodatabase, information system and vulnerability assessment (WP 3000), evacuation analysis, and pedestrian traffic optimization (WP 4000) and highly-resolved 3D-model of Padang (WP 5000) based on aerial large-scale topographic mapping. The project itself has accomplished its second project year. In the following sections, the actual progress of each working package is briefly explained.
@misc{dlr60598,
abstract = {The joint research project funded by DFG/BMBF (Sponsorship code: 03G0666A-H) develops a numerical last-mile tsunami early warning and evacuation information system on the basis of detailed earth observation data and techniques as well as unsteady, hydraulic numerical modelling of small-scale flooding and inundation dynamics of the tsunami, including evacuation simulations in the coastal hinterland for the city of Padang, West Sumatra, Indonesia.
The joint research project is composed of five working packages, based on field expertise of each working partners, namely socio-economic vulnerability assessment (WP 1000), inundation scenarios, flow analysis (WP 2000), geodatabase, information system and vulnerability assessment (WP 3000), evacuation analysis, and pedestrian traffic optimization (WP 4000) and highly-resolved 3D-model of Padang (WP 5000) based on aerial large-scale topographic mapping. The project itself has accomplished its second project year. In the following sections, the actual progress of each working package is briefly explained.
},
added-at = {2020-09-11T12:04:50.000+0200},
author = {Taubenb{\"o}ck, Hannes and Goseberg, Nils and Setiadi, Neysa and L{\"a}mmel, Gregor and Moder, Florian and Schlurmann, Torsten and Oczipka, Martin and Kl{\"u}pfel, Hubert and Strunz, G{\"u}nter and Birkmann, J{\"o}rn and Nagel, Kai and Siegert, Florian and Lehmann, Frank and Dech, Stefan and Gress, Alexander},
biburl = {https://www.bibsonomy.org/bibtex/2e50f9bc24de8983b4aa47864ef27ed35/earthobs_uniwue},
editor = {Stoink, Ludwig},
institution = {Koordinierungsb{\"u}ro Geotechnologien},
interhash = {27b1b6484fe65e716247c3ead5254089},
intrahash = {e50f9bc24de8983b4aa47864ef27ed35},
journal = {Geotechnologien Sciene Report - Early Warning Systems in Earth Management },
keywords = {miscellaneous Dech},
month = {Oktober},
series = {Geotechnologien Science Report},
timestamp = {2020-10-29T09:22:08.000+0100},
title = {Last-Mile - Numerical Last-Mile Tsunami Early Warning and Evacuation Information System },
url = {http://elib.dlr.de/60598/},
volume = 13,
year = 2009
}