Articles | Volume 6, issue 4
Nat. Hazards Earth Syst. Sci., 6, 621–628, 2006
https://doi.org/10.5194/nhess-6-621-2006

Special issue: Methods for risk assessment and mapping in Germany

Nat. Hazards Earth Syst. Sci., 6, 621–628, 2006
https://doi.org/10.5194/nhess-6-621-2006

  14 Jul 2006

14 Jul 2006

Data management and GIS in the Center for Disaster Management and Risk Reduction Technology (CEDIM): from integrated spatial data to the mapping of risk

P. Köhler1, M. Müller1,2, M. Sanders1, and J. Wächter1 P. Köhler et al.
  • 1GeoForschungsZentrum Potsdam (GFZ), Data and Computing Centre, Telegrafenberg, 14473 Potsdam, Germany
  • 2Center for Disaster Management and Risk Reduction Technology (CEDIM), 76128 Karlsruhe, Germany

Abstract. The project "Risk Map Germany" of the Center for Disaster Management and Risk Reduction Technology (CEDIM) aims at the examination of existing and the development of new approaches for integrated risk assessment as well as the realisation of risk analyses for selected threats and regions. Hazard, vulnerability and risk maps display the results and provide valuable information for planning, insurances, emergency management, science and the public. This article describes the development of the basic information infrastructure for CEDIM and the "Risk Map Germany" providing components for the networking of participating institutions, for common data management, data dissemination and publication. While a web based project platform offers information and communication facilities for all the project members and also the presentation of CEDIM to the public, an integrated data base is prepared as foundation for cross-discipline but common risk assessment. It is made available by the spatial data service "CEDIM Data Center" which allows the project members to inform themselves about the characteristics of existing data and its applicability for their specific tasks by exploring GIS functionalities. Suitable data can be downloaded and further processed in their own work environment. The components' alignment with the principles of Spatial Data Infrastructures is required to accomplish the suppositions for long-term availability and accessibility of data, information and services.

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