Quantitative Methods

Event Tree Analysis (ETA) is a method that examines the consequences of a particular event. Starting from an initial event, the tree is divided into two branches, whereby the upper one represents a positive and the lower one a negative development (event trees are usually drawn from left to right). Repeated branching of the tree shows possible effects of an initial event on a system. The aim of ETA is the identification of possible damage events. 

The FTA (fault tree analysis) is a scientific method for detailed fault analysis. It serves the systematic identification and documentation of possible causes for errors or misconduct. Found causes are broken down as precisely as possible to get a comprehensive fault analysis.

The Monte Carlo simulation is one of the stochastic simulation methods in which random numbers are used within certain ranges for the calculation of the scenarios. To estimate risks or decisions under uncertainty, stochastic and dynamic methods are almost exclusively used today. With the help of Monte Carlo simulation, the impact of different decisions and their probability of occurrence can be estimated using synthetic data. It is a calculation method to simulate extreme cases, but also to secure everyday decisions. This makes it usable for a wide variety of industries.

Originally, the scenario technique came from the military field, but today it is also frequently used for economic and social issues. Basically, the scenario technique combines quantitative and qualitative forecasting elements. Thus, no pure linear projection is made on the basis of historical data. The aim of the procedure is to prepare companies for future developments in order to improve their ability to act. The complexity is reduced by the calculation and exclusion of inconsistent future developments. The scenario technique provides consistent future projections based on the information collected during the process.

The Seatrack Web system consists of three main parts: forcing in the form of forecasted flow and wind felds, an oil drift model and a graphical user interface. The oil drift model PADM has been jointly developed by the Swedish Meteorological and Hydrological Institute (SMHI) and the Danish Maritime Safety Administration (DAMSA). It is executed whenever a Seatrack Web user requests a simulation. The graphical user interface has been developed at SMHI and is based on open source GIS-server technology, i.e. the user interacts with georeferenced data in a map. The SeaTrack Web tool can be used to analyze the consequences of oil spill drift to a particular sea area, Where does the oil spill drift to in the sea area. The method is selected based on the cooperation with the OpenRisk Project.