Table 1.
Structure of the flood loss model inventory.
Fig 1.
Characteristics of flood loss models contained in the inventory.
Fig 2.
Global distribution of flood loss models and functions for different sectors contained in the inventory.
Table 2.
Characteristics of the selected example models.
Fig 3.
Loss functions of residential buildings in HAZUS-MH [43]; example of a relative, deterministic model using uni-variable loss functions (negative inundation depth refers to inundation in the basement of a building).
Fig 4.
Damage model of Zhai et al. [12] with the damage-influencing factors residing period, income and inundation depth; example for an absolute, deterministic model using multi-variable loss functions.
Fig 5.
Structure and example distributions of loss estimates for selected water levels of BN-FLEMOps; example for a multi-variable, relative, probabilistic model.
Fig 6.
Loss functions of crop types [60]; example for a relative, deterministic model using uni-variable loss functions.
Fig 7.
Loss functions for one-cut silage [61]; example for an absolute, deterministic model using multi-variable loss functions.
D = total damage [£/ha], GMJ = energy from grass lost due to flooding [MJ/ha], RF = cost of replacement feed [£/ha], C = additional costs incurred (+) or saved (-) [£/ha].
Fig 8.
Harmonized flood loss models for residential buildings in dependence of water depth; top: HAZUS [43], middle: Zhai et al. [12], bottom: BN-FLEMOps [15].
Fig 9.
Compilation of harmonized flood loss models for residential buildings based on common variables.