A Distributed Technique For Flood
Damage Assessment Using GIS And
A 2D Hydraulic Model
Author(s)
S. Fattorelli & E. Frank
Abstract
When flood risk mitigation actions are planned, the assessment of what the
expected annual damage would be with or without the proposed measures
assumes a fundamental role with reference to cost-benefit analysis. The expected
annual damage is computed by integrating the damage-probability function
which, depending on the size of the problem and on the data available, can be
calculated according to different methodologies, varying in their degree of
complexity, described in the relevant literature. This paper presents a
methodology aimed at predicting and quantifying the damage caused by flood
events. Such a methodology combines the 2D hydraulic model's capability to
accurately simulate and describe the evolution of flooding with the GIS ability to
carry out spatial analysis operations. The results from the 2D hydraulic model
(water level, velocity and persistence time in each computation cell) are crossed
with the raster maps featuring the characteristics of the elements at risk (land use,
economic parameters). By the application of damage functions (or vulnerability
curves) to each of the cells within the domain, damage maps are derived and the
total value of the economic damage associated with the simulated flood event is
finally determined. This distributed methodology has been validated using
information data from a flood event (July 1981 at Salorno, Bolzano) which
occurred in the study area. Given the good results of the above-mentioned
validation, the same methodology was applied to quantify the expected annual
damage in the areas affected by flood risk along the Adige river between the city
of Bolzano and the confluence with the Noce river and to determine the benefit
expected from different scenarios of flood reduction measures.
Keywords: flood damages, 2D hydraulic model, GIS, flood reduction measures.
Keywords
flood damages, 2D hydraulic model, GIS, flood reduction measures.
Related Book
Other papers in this volume
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