UseCase » Models as a service

The Oilspill pilot MaaS and their main input and output data are summarized in following table. In addition to these data, user input parameters are needed to execute the MaaS.

Ps1 PredictOilDrift

Modelling the spilt oil's fate and behaviour consists of modelling changes in the oil's physical and chemical properties as it undergoes natural processes at sea (so-called weathering -- evaporation, dispersion, etc) and also modelling transport mechanisms (advection, turbulence).

Input data include user input data on the spill (In1), wind and currents forecasts (In2; In3), sea depth data (In4), coast line data (In5).

The main output is a 3D grid time series (= 4D) of oil concentrations in the water column, and a 2D time series of the oil slick position. Also, a mass balance time series (how much is evaporated, how much is stranded, etc) is provided.

Ps2 PredictCodEffects

The uptake of oil components by cod eggs and larvae is modelled by modelling the organisms' exposure to the oil concentrations in the water column based on the uptake rate per component.

Toxicity is modelled by calculating critical body residue (CBR) per component and totally, and lethality is derived from that.

The main input data are key species data for cod (individual weight; fat content) and population data for cod (spawning areas). The output is a 2D time series of cod lethality rates.

Input data Model as a service Output data
Designation Format Designation Format
ln1User input (location, time, amount, oil type)Simple data type Ps1 PredictOilDrift Out1 Oil drift predictions:
- Oil concentration in water colmumn (3D)
- Oil slick position (2D)
- Mass balance (1D)
Grid time series
ln2Wind forecast2D grid time series
ln3Current forecast3D grid time series
ln4Sea depth data2D grid
ln5Coast line data2D Grid
ln6Cod species and population dataSimple data types, 2D grid Ps2 PredictCodEffects Out2 Predictions of the effect on cod:
- Lethality
2D time series
ln7Oil drift predictionsGrid time series

The oil spills pilot models as a service