scholarly journals Estimation of an absolute flood damage curve based on an Austrian case study under a dam breach scenario

2010 ◽  
Vol 10 (4) ◽  
pp. 881-894 ◽  
Author(s):  
F. Prettenthaler ◽  
P. Amrusch ◽  
C. Habsburg-Lothringen
Keyword(s):  
Future Development ◽  
Damage Assessment ◽  
Field Data ◽  
Flood Damage ◽  
Damage Function ◽  
Damage Potential ◽  
Dam Breach ◽  
Damage Functions ◽  
Austrian Case

Abstract. To date, in Austria no empirical assessment of absolute damage curves has been realized on the basis of detailed information on flooded buildings due to a dam breach, presumably because of the lack of data. This paper tries to fill this gap by estimating an absolute flood-damage curve, based on data of a recent flood event in Austria in 2006. First, a concise analysis of the case study area is conducted, i.e., the maximum damage potential is identified by using raster-based GIS. Thereafter, previous literature findings on existing flood-damage functions are considered in order to determine a volume-water damage function that can be used for further flood damage assessment. Finally, the flood damage function is cross validated and applied in prediction of damage potential in the study area. For future development of the estimated flood damage curve, and to aid more general use, we propose verification against field data on damage caused by natural waves in rivers.

scholarly journals About the influence of elevation model quality and small-scale damage functions on flood damage estimation

2011 ◽  
Vol 11 (12) ◽  
pp. 3327-3334 ◽  
Author(s):  
M. Boettle ◽  
J. P. Kropp ◽  
L. Reiber ◽  
O. Roithmeier ◽  
D. Rybski ◽  
...  
Keyword(s):  
Influencing Factor ◽  
Storm Surges ◽  
Flood Damage ◽  
Damage Function ◽  
Building Damage ◽  
Small Scale ◽  
Model Quality ◽  
Damage Functions ◽  
Elevation Model

Abstract. The assessment of coastal flood risks in a particular region requires the estimation of typical damages caused by storm surges of certain characteristics and annualities. Although the damage depends on a multitude of factors, including flow velocity, duration of flood, precaution, etc., the relationship between flood events and the corresponding average damages is usually described by a stage-damage function, which considers the maximum water level as the only damage influencing factor. Starting with different (microscale) building damage functions we elaborate a macroscopic damage function for the entire case study area Kalundborg (Denmark) on the basis of multiple coarse-graining methods and assumptions of the hydrological connectivity. We find that for small events, the macroscopic damage function mostly depends on the properties of the elevation model, while for large events it strongly depends on the assumed building damage function. In general, the damage in the case study increases exponentially up to a certain level and then less steep.

A GIS-based tool for flood damage assessment and delineation of a methodology for future risk assessment: case study for Annotto Bay, Jamaica

2017 ◽  
Vol 88 (3) ◽  
pp. 1867-1891 ◽  
Author(s):  
H. Glas ◽  
M. Jonckheere ◽  
A. Mandal ◽  
S. James-Williamson ◽  
P. De Maeyer ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Damage Assessment ◽  
Flood Damage ◽  
Future Risk ◽  
Flood Damage Assessment

Development of Multivariate Flood Damage Function for Flood Damage Assessment in Gunsan City, Korea

2017 ◽  
Vol 17 (2) ◽  
pp. 247-258
Author(s):  
Insang Yu ◽  
◽  
Imee V. Necesito ◽  
Hayong Kim ◽  
Tae Sung Cheong ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Flood Damage ◽  
Damage Function ◽  
Flood Damage Assessment

Development of Damage Function for Flood Damage Assessment on Single Family Housing

2017 ◽  
Vol 17 (6) ◽  
pp. 421-431 ◽  
Author(s):  
Cheonkyu Choi ◽  
◽  
Kyungtak Kim ◽  
Gilho Kim ◽  
Hungsoo Kim ◽  
...  
Keyword(s):  
Damage Assessment ◽  
Flood Damage ◽  
Damage Function ◽  
Single Family ◽  
Family Housing ◽  
Flood Damage Assessment

scholarly journals Damage functions for climate-related hazards: unification and uncertainty analysis

2015 ◽  
Vol 3 (11) ◽  
pp. 6845-6881 ◽  
Author(s):  
B. F. Prahl ◽  
D. Rybski ◽  
M. Boettle ◽  
J. P. Kropp
Keyword(s):  
Climate Change Impacts ◽  
Flood Damage ◽  
Damage Function ◽  
Storm Damage ◽  
Damage Functions ◽  
Single Item ◽  
Universal Approach ◽  
The Common ◽  
Flooding Events

Abstract. Most climate change impacts manifest in the form of natural hazards. For example, sea-level rise and changes in storm climatology are expected to increase the frequency and magnitude of flooding events. In practice there is a need for comprehensive damage assessment at an intermediate level of complexity. Answering this need, we reveal the common grounds of macroscale damage functions employed in storm damage, coastal-flood damage, and heat mortality assessment. The universal approach offers both bottom-up and top-down damage evaluation, employing either an explicit or an implicit portfolio description. Putting emphasis on the treatment of data uncertainties, we perform a sensitivity analysis across different scales. We find that the behaviour of intrinsic uncertainties on the microscale level (i.e. single item) does still persist on the macroscale level (i.e. portfolio). Furthermore, the analysis of uncertainties can reveal their specific relevance, allowing for simplification of the modelling chain. Our results shed light on the role of uncertainties and provide useful insight for the application of a unified damage function.

Estimation of flood damage functions for river basin planning: a case study in Bangladesh

2014 ◽  
Vol 75 (3) ◽  
pp. 2773-2791 ◽  
Author(s):  
Y. C. Ethan Yang ◽  
Patrick A. Ray ◽  
Casey M. Brown ◽  
Abedalrazq F. Khalil ◽  
Winston H. Yu
Keyword(s):  
River Basin ◽  
Flood Damage ◽  
Damage Functions ◽  
River Basin Planning

scholarly journals On the Shaker Simulation of Wind-Induced Non-Gaussian Random Vibration

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Fei Xu ◽  
Chuanri Li ◽  
Tongmin Jiang
Keyword(s):  
Random Vibration ◽  
Field Data ◽  
Response Spectrum ◽  
Synthesis Method ◽  
Control Mode ◽  
Damage Potential ◽  
Extreme Response ◽  
Gaussian Signal ◽  
Non Gaussian

Gaussian signal is produced by ordinary random vibration controllers to test the products in the laboratory, while the field data is usually non-Gaussian. Two methodologies are presented in this paper for shaker simulation of wind-induced non-Gaussian vibration. The first methodology synthesizes the non-Gaussian signal offline and replicates it on the shaker in the Time Waveform Replication (TWR) mode. A new synthesis method is used to model the non-Gaussian signal as a Gaussian signal multiplied by an amplitude modulation function (AMF). A case study is presented to show that the synthesized non-Gaussian signal has the same power spectral density (PSD), probability density function (PDF), and loading cycle distribution (LCD) as the field data. The second methodology derives a damage equivalent Gaussian signal from the non-Gaussian signal based on the fatigue damage spectrum (FDS) and the extreme response spectrum (ERS) and reproduces it on the shaker in the closed-loop frequency domain control mode. The PSD level and the duration time of the derived Gaussian signal can be manipulated for accelerated testing purpose. A case study is presented to show that the derived PSD matches the damage potential of the non-Gaussian environment for both fatigue and peak response.

scholarly journals Flood damage assessment in a GIS – case study for annotto bay, Jamaica

2016 ◽  
Vol 6 (3) ◽  
pp. 508-517 ◽  
Author(s):  
H. Glas ◽  
S. Van Ackere ◽  
G. Deruyter ◽  
P. De Maeyer
Keyword(s):  
Damage Assessment ◽  
Flood Damage ◽  
Flood Damage Assessment

Flood damage assessment to economic activities: implementation and transferability of French methodology

2021 ◽  
Author(s):  
Frédéric Grelot ◽  
Marta Galliani ◽  
Pauline Bremond ◽  
Daniela Molinari ◽  
Lilian Pugnet ◽  
...  
Keyword(s):  
Residential Buildings ◽  
Flood Damage ◽  
Economic Activities ◽  
Damage Functions ◽  
Flood Prevention ◽  
Damage Modelling ◽  
French Case ◽  
Damage Data ◽  
The City

<p>Since 2010, a national method is available in France for multi-criteria analysis of flood prevention projects. The method uses national damage functions to estimate losses to the different exposed items, including economic activities. Despite the business sector suffers significant losses in case of flood, flood damage modelling to businesses is less advanced than for other exposed sectors, as e.g. residential buildings. Reasons are many and include: the high variability of activities types composing this sector and then the difficulty of standardisation (above all when contents are considered), and the lack of data to understand and quantify damage and validate existing modelling tools. The collection of damage data in two case studies, in France and in Italy, and the collaboration between two research groups in the two countries allowed to study the applicability, the validity, and the transferability of the French damage functions for economic activities to Italy. Firstly, the functions were tested and validated in a French case study, i.e. the flood that affected the Île-de-France Region in 2016. This validation exercise faced the problem of working with few information about the identity of the activities, and propose a solution; moreover, it allowed to verify the actual availability of input data to implement the functions in France and pointed out the paucity of information to validate the methodology. Testing the functions in a foreign case study, i.e. the flood occurred in 2002 in Italy in the city of Lodi, allowed instead to verify the transferability of the method.</p>

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