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CLIMATE HAZARD RISK ASSESSMENT

Fluvial Flood

Regional River-Flood Risk Assessment

This chapter implements the tested CLIMAAX river-flood risk workflow for the five ClimEmpower regions. Pre-processed present-condition river-flood depth maps are combined with LUISA 2018 land use, JRC depth-damage curves and maximum damage values using DamageScanner.

The ClimEmpower adaptation is limited to regional batch processing, GeoTIFF export, selected return periods and present-condition hazard maps. The output is direct physical economic damage in EUR per raster cell for specified flood-event magnitudes; it is not an H Γ— E Γ— V index and it is not expected annual damage.

RP10 Β· RP100 Β· RP500Present-condition river-flood depth scenarios; RP250 only if RP500 is unavailable
EUR / raster cellDirect physical economic damage output from DamageScanner
FLUVIAL FLOOD β€” RISK BLUEPRINT CLIMEMPOWER METHODOLOGY
METHOD OVERVIEW

Regional River-Flood Risk Assessment

DamageScanner calculates direct physical economic loss for each flooded raster cell. The damage fraction at the modelled flood depth is multiplied by the GDP-scaled maximum damage value and the exposed cell area.

Ζ’Damage fractionat modelled flood depth
Γ—
€Maximum damageEUR / mΒ²
Γ—
mΒ²Exposed cell areamΒ²
=
€Direct damageEUR / raster cell
DamageScanner calculation and input structure for the fluvial flood direct-damage maps.
RISK MAPS β€” SECTORS COVERED

🌊 Hazard

JRC/CEMS present-scenario river-flood depth GeoTIFFs clipped to each case-study NUTS area and aligned to the LUISA grid.

πŸ—ΊοΈ Exposure

LUISA 2018 categorical land-use raster at 100 m resolution.

€ Vulnerability & Asset Values

JRC residential, commercial and industrial depth-damage curves plus regional LUISA composition and GDP-scaled maximum damage values.

DAMAGE OUTPUT

Fluvial Flood Damage Output

The river-flood workflow calculates direct physical economic damage for specified return periods. DamageScanner combines flood depth, LUISA land use, JRC depth-damage curves and GDP-scaled maximum damage values. The result is exported as EUR per raster cell, not as an H Γ— E Γ— V index.

EUR / cell
Interpretation note

Maps show spatial hotspots and the order of direct physical economic loss for a specified event magnitude. They are not expected annual damage and exclude indirect losses, insured losses, casualties, recovery costs and wider macroeconomic effects.

CALCULATION WORKFLOW
WORKFLOW STEP

1. Prepare and align data

Flood depth + land use β†’ aligned 100 m grid

Hazard

River-flood depth GeoTIFFs

Present-condition JRC/CEMS flood-depth maps clipped to each case-study NUTS area. RP250 is used only if RP500 is unavailable. Unit: metres.

JRC/CEMS

Exposure

LUISA 2018 land use

Categorical land-use raster aligned with the flood-depth grid.

LUISA 2018

Common analysis grid

100 m aligned grid

Clip both inputs to the case-study NUTS area and align flood depth to the 100 m LUISA grid while preserving categorical land-use classes.

CLIMAAX workflow adapted for ClimEmpower
Flood depth is resampled to the 100 m LUISA grid while categorical land-use classes are preserved.
WORKFLOW STEP

2. Derive vulnerability by land-use class

Depth–damage curves + land-use composition + asset values

Depth–damage curves

JRC damage functions

Residential, commercial and industrial damage fractions vary with modelled flood depth.

JRC depth-damage curves

Land-use composition

Regional LUISA workbook

Defines the residential, commercial and industrial composition used for each LUISA class.

Regional LUISA workbook

Maximum asset value

GDP-scaled maximum damage

Maximum asset values are scaled using adopted regional GDP per capita estimates.

Eurostat nama_10r_3gdp, unit EUR_HAB
Depth-damage functions are combined according to LUISA land-use composition and applied to GDP-scaled maximum damage values.
WORKFLOW STEP

3. Calculate and export direct damage

Direct damage = damage fraction Γ— maximum damage Γ— exposed cell area

Damage fraction

Fraction at modelled flood depth

DamageScanner obtains the land-use-specific damage fraction from the JRC depth–damage relationship at the modelled flood depth.

JRC depth-damage curves / DamageScanner

Maximum damage

Maximum asset damage

The applicable GDP-scaled maximum damage value for the exposed land-use class.

Regional LUISA workbook + Eurostat scaling

Exposed cell area

Flood-exposed raster area

The exposed area of the raster cell converts the damage value per square metre into direct economic loss per cell.

Aligned hazard and LUISA grid
⚠ Interpret as direct physical economic loss for a specified flood-event magnitude. Excludes expected annual damage, indirect losses, insured losses, casualties, recovery costs and wider macroeconomic effects.
Cell loss = damage fraction at modelled depth Γ— maximum damage (EUR/mΒ²) Γ— exposed cell area.
Risk map factsheetOpen the sector-specific infographic without leaving this page.
ALL VARIABLES & DATA SOURCES
HHazard Inputs1 variable+
Present-condition river-flood depth

JRC/CEMS depth GeoTIFFs for RP10, RP100 and RP500; RP250 only if RP500 is unavailable.

DATA SOURCEJRC/CEMS
RESOLUTIONAligned to 100 m LUISA grid
EExposure Inputs1 variable+
LUISA 2018 Land Use

Categorical land-use raster used to identify exposed land-use classes.

DATA SOURCELUISA 2018
RESOLUTION100 m
VVulnerability & Economic Inputs2 variables+
Depth–Damage Curves

Residential, commercial and industrial functions relating flood depth to damage fraction.

DATA SOURCEJRC
RESOLUTIONFunction / land-use composition
Maximum Damage Values

Regional maximum asset values in EUR/mΒ², scaled by GDP per capita.

DATA SOURCERegional LUISA workbook + Eurostat nama_10r_3gdp
RESOLUTIONEUR/mΒ²