. . "202001493" . "AES_0004" . "5"^^ . "140"^^ . "10"^^ . "2022-11-10T23:00:00Z"^^ . "hybrid" . "The course will consist of:\n\n(Online) Interactive lectures, where an introduction is given to the various topics. The lectures will also be available later as videos. The course is given in hybrid mode, as an online course, as well as face-to-face in ITC.\nSupervised practical. These will be organized in ITC, and a supervisor will be present to give support. Online participants are guided through Canvas. \nUnsupervised practical. The students can work at ITC in the practical room, or decide to work at home.\nReading assignments.\nFinal projects. Both components of the course contain a final project, in which the students analyze a particular problem.\nGroup assignments include a stakeholder simulation workshop, where students have to represent certain stakeholder"@en . . . . . . . "This course is open for short-course participants and MSc students with an affinity with disaster risk reduction challenges, combined with experience with GIS and spatial data."@en . . . . "4"^^ . "1" . "1A " . . . . "2022-09-04T22:00:00Z"^^ . "This course provides an advanced understanding in the assessment of dynamic risk for multi-hazards from hydro-meteorological and geological origin (e.g. landslides, floods, debris flows). This course presents approaches to evaluate how multi-hazard risk might change over time. Multi-hazard risk assessment (MHRA) is the quantitative estimation of the spatial distribution of potential losses for an area. These relate to multiple natural hazards with different hazard interactions, with multiple event probabilities, for multiple types of elements-at-risks, and multiple potential loss components. The course first discusses the various types of hazard interactions. An overview is given of the tools available for multi-hazard assessment, stressing the importance of developing integrated physically-based multi-hazard models. One of such models, OpenLISEM Hazard, is treated in detail, and the participants will get hands-on experience in the use of this integrated physically-based multi-hazard model, and the data requirements. After discussing problems involved in analyzing static MHR, the course addressed the analysis of changing multi-hazard risk as a basis for decision-making. These changes may be related to changes in triggering or conditional factors, increasing exposure of elements at risk, and their vulnerability and capacity. Dynamic risk can be evaluated in the long term because of changes in climate, land use, population density, economy, or social conditions. Changes in risk might also be occurring in a short time frame and assessed as a basis for Early Warning and impact based forecasting, and to analyze the consequences of hazard interactions after major events. "@en . "Modelling Multi-Hazards & Risk"@en . . "Modelling Multi-Hazards & Risk"@en . "Modelling Multi-Hazards & Risk"@en . . . "Learning outcome"@en . . "Carry out physically-based hazard modelling, including the generation of the dataset, calibration and validation"@en . "Carry out physically-based hazard modelling, including the generation of the dataset, calibration and validation"@en .