## 4 Results
These differences may be due to the fact that the [PERSON] and co-authors model takes into consideration both variables, the flow depth and velocity, to define hazard levels. The model proposed by [PERSON] and co-authors does so as well, but for the two higher levels, they use a Boolean selection, which is based on two or three options: (1) a value of \"flow depth * flow velocity\"; (2) a value of \"flow depth\"; or (3) a value of \"flow velocity\". Both models of human loss of stability show minor differences between the quantile and confidence interval hydrodynamic results for most of the urban area of Zamora city, mainly on the right bank of the Douro River (Figure 5a,e). More differences are appreciated on the left bank of the Douro River, where mid- and low-hazard levels dominate for the 500-year quantile model, while the high-hazard level increases its extension for the different confidence interval models (Figure 5b-d,f-h). This trend is homogeneous for both the [PERSON] et al. and the [PERSON] et al. model. The direct economic damages for housing related to the 500-year return period quantile and confidence intervals were computed by using the USACE (S  
Figure 5: Probabilistic map of human loss of stability areas in Zamora city (Spain) for the [PERSON] et al. [5] model (**a–d**), and [PERSON] et al. [31] model (**e–h**). Figure 6: Probabilistic map of building economic damage (%) areas in Zamora city (Spain) for the USACE [44] model (**a**–**d**), and the [PERSON] et al. [45] model (**e**–**h**). The damage model proposed by the JRC generally assigns higher damage percentages. In the urban area of Zamora, both for the 500-year-old quantile and for its confidence intervals of up to 80% (Figure 6e-g), the damage percentages fluctuate between 25 and 75%, with the average value increasing in direct relation to the confidence interval. For the 99% confidence interval (Figure 6h), the area with expected damage between 50 and 75% is dominant, and the area with damage greater than 75% becomes noticeable. Like people and houses, vehicles are another property type exposed to flooding, which are affected in two ways: firstly, by direct damage due to flooding, and secondly, by the increased flood vulnerability to other exposed property when the vehicle is moved by the flood as a suspended load. To partially analyse this situation, the vehicle damage model [46] proposed by the USACE was used; specifically, the models associated with sedan- and SUV-type vehicles (as they are probably the most common vehicles in Zamora city). The hydrodynamic results for most of the urban area of Zamora city show high percentages of vehicle damage (Figure 7). These damage percentages are higher for sedan-type vehicles than for SUV-type vehicles since the USACE damage model considers (for flow depth values of up to 2 metres) the damage to sedan vehicles to be between 10 and 15% higher than the damage to SUV vehicles. The urban area of Zamora city located on the left bank of Douro River is again the area that shows the greatest variation between the results associated with the 500-year return period quantile and those of its confidence intervals. For sedan-type vehicles, there is a clear increase in the percentage of damage (towards values above 75%) in the areas common to all models (Figure 7a-d), while the areas affected only by the models associated with the confidence intervals present damage percentage values of over 50% (Figure 7d). In the case of SUV-type vehicles, the trend is similar to that noted above, with the difference that for the model associated with the quantile peak flow, there is a large area with damage percentages of between 25 and 50% (Figure 7e). This area is reduced for the 50% confidence interval (Figure 7f) and almost disappears for that of 80% (Figure 7g). Finally, the model associated with the 99% confidence interval shows damage percentages higher than 75% (Figure 7h); in the uncommon areas with the model associated with the cliff, damage percentages lie between 25 and 50%.