> For the complete documentation index, see [llms.txt](https://directed-eu.gitbook.io/data-fabric-manual/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://directed-eu.gitbook.io/data-fabric-manual/model-documentation/dtu-damage-cost-model.md).

# DTU Damage-Cost Model

### Description

The DamageCost model maintained by the Technical University of Denmark is designed to estimate and assess the economic impacts of urban pluvial floods (Halsnæs, et al., 2023). It utilizes traditional depth-damage functions to assess relationships between damage severity to assets and flood depth. It does not inherently simulate the movement or behaviour of water. 

### Model Specifications

| Model Specifications          | Description                                                                                                                                                                                                                                                                                                                                                                           |
| ----------------------------- | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
| Model Type                    | Deterministic model, producing economic loss estimates based on fixed parameters.                                                                                                                                                                                                                                                                                                     |
| Associated Probability Method | Provides probability estimates to determine expected costs and benefits, based on historical data and modelling of potential scenarios which form the baseline for calculations.                                                                                                                                                                                                      |
| Spatial Resolution            | Can vary from coarse (100m-1km) to very fine (1-10m) (dependent on the resolution of the flood model data, land use data, and infrastructure data).                                                                                                                                                                                                                                   |
| Intensity Parameters          | Typically considers flood depth, flood duration, extent, flood velocity, frequency and return period, flood type                                                                                                                                                                                                                                                                      |
| Other Inputs                  | Infrastructure values, historical damage data, land use and zoning.                                                                                                                                                                                                                                                                                                                   |
| Calibration and Validation    | Using empirical data and statistical methods, typically involving historical flood data (depth, duration, extent, and economic damage incurred). Can also be calibrated based on field observations. Calibration of economic damage estimates should be adjusted to local economic conditions (cost of materials, property values), and compared with previous losses from flooding). |
| Effects of Climate Change     | Yes (requires further model inputs and the incorporation of climate scenarios).                                                                                                                                                                                                                                                                                                       |

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