Flood modeling and scenario (engl.)

(as Part of NHRE: “Geo- and hydrotechnical engineering: Flood Management”)

During the last years, and as outcomes of practical requests, several research projects of the Earthquake Damage Analysis Center (EDAC) have been concentrated on the development of an engineering evaluation system of buildings subjected to natural hazards and the elaboration of more refined tools to link elements of hazard, action, vulnerability, damage and loss in a modular way. The procedures and the processing levels implemented in the model are structured transparently and can be used for different risk types (earthquake, storm, flood, tsunami etc.).

Basics steps of the procedure are derived from analogous considerations to the empirical, intensity-oriented method introduced for the earthquake damage and loss model on the basis of EMS-98 (Grünthal et al., 1998). Mainly focusing the consideration on structural damage due to flood impact, characteristic vulnerability classes are determined for the different building types.

The empirical-statistical approach – correlating damage and impact level and being in principle valid for all natural hazards –has to be applied by the students to an test area.

Students will be familiar with advanced methods of damage, risk and loss assessment:

  1. to provide structure related parameters and relationships in support of analytical studies,
  2. to undertake general design consideration and
  3. to compare the outcome of field surveys and of simple model testing with general design consideration.

The students should be able to apply the strategies and methods to arbitrary engineering problems in the given fields.


The Participants have the opportunity to

  • prepare data layers for flood risk assessment,
  • apply and compare innovative and creative solutions damage and loss assessment,  
  • evaluate the resistance of existing buildings and to assign the most likely vulnerability classes,
  • provide input data for analytical investigation
  • deal with insurance and re-insurance relevant evaluation of the value.  

Students will be trained in the selection of relevant data layers and topographic information in sufficiently high resolution to come up with realistic (data-proven) scenario and damage prognosis.


For more information and the task, check the metacoon plattform - room NHRE ⇒ Flood mangagement