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.

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 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

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>

Flood vulnerability assessment: A critical comparison between site derived, national and international depth-damage functions and their use in assessing flood risk in Malaysia

2021 ◽  
Author(s):  
Balqis M. Rehan ◽  
Paul Sayers ◽  
A. Ulwan M. Alayuddin ◽  
M. Fadhil M. Ghamrawi ◽  
James D. Miller ◽  
...  
Keyword(s):  
Flood Risk ◽  
Flood Hazard ◽  
Flood Damage ◽  
Damage Function ◽  
Kuala Lumpur ◽  
Investment Planning ◽  
Damage Functions ◽  
Flood Vulnerability ◽  
Site Specific ◽  
Flood Vulnerability Assessment

<p>Damage functions are widely used to determine flood losses. National and international published damage functions are often used with little scrutiny or validation at local scales; a lack of understanding that unquestionably adds uncertainty to national flood risk assessment and investment planning. This paper examines the differences in aggregate flood damage estimates based on damage functions derived locally using local surveys and questionnaires, published national sector-based damage functions and land-use based damage functions published for Malaysia in the international literature. The paper is presented in two parts: firstly, the construction of a damage function from site-specific post-event flood surveys (covering a range of building types and flood hazard variables) and secondly, the comparison of these locally derived function with available national and international functions. A 0.05 km<sup>2</sup> residential area located in Kuala Lumpur, Malaysia, which consists of sparsely located houses was selected for the study. It was used to drive the site-specific damage function and an associated estimate of flood damage for a range of observed and modelled flood events. The results show that at higher depths, the use of the site-specific function suggest an aggregate damage of approximately twice than an estimate based on national functions but much less (less than 100%) than would be estimated based on international published functions. The paper concludes that the international published damage functions should be used with care and condition using local (where possible) or national understanding of flood damages to avoid a significant over estimation of losses.</p>

scholarly journals On the Influence of the Main Floor Layout of Buildings in Economic Flood Risk Assessment: Results from Central Spain

Water ◽  
2020 ◽  
Vol 12 (3) ◽  
pp. 670 ◽  
Author(s):  
Julio Garrote ◽  
Nestor Bernal
Keyword(s):  
Complex Analysis ◽  
Complete Solution ◽  
Residential Building ◽  
Flood Damage ◽  
Damage Function ◽  
Economic Damage ◽  
Damage Estimation ◽  
Damage Functions ◽  
Essential Variable ◽  
Correct Estimation

Multiple studies have been carried out on the correct estimation of the damages (direct tangible losses) associated with floods. However, the complex analysis and the multitude of variables conditioning the damage estimation, as well as the uncertainty in their estimation, make it difficult, even today, to reach one single, complete solution to this problem. In no case has the influence that the topographic relationship between the main floor of a residential building and the surrounding land have in the estimation of flood economic damage been analysed. To carry out this analysis, up to a total of 28 magnitude–damage functions (with different characteristics and application scales) were selected on which the effect of over-elevation and under-elevation of the main floor of the houses was simulated (at intervals of 20 cm, between −0.6 and +1 metre). According to each of the two trends, an overestimation or underestimation of flood damage was observed. This pattern was conditioned by the specific characteristics of each magnitude–damage function, meaning that the percentage of damage became asymptotic from a certain flow depth value. In a real scenario, the consideration of this variable (as opposed to its non-consideration) causes an average variation in the damage estimation around 30%. Based on these results, the analysed variable can be considered as (1) another main source of uncertainty in the correct estimation of flood damage, and (2) an essential variable to take into account in a flood damage analysis for the correct estimation of loss.

scholarly journals Uncertainty in flood damage estimates and its potential effect on investment decisions

2016 ◽  
Vol 16 (1) ◽  
pp. 1-14 ◽  
Author(s):  
D. J. Wagenaar ◽  
K. M. de Bruijn ◽  
L. M. Bouwer ◽  
H. de Moel
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Analysis ◽  
Investment Strategy ◽  
Potential Effect ◽  
Flood Damage ◽  
Flood Events ◽  
Damage Functions ◽  
Damage Models ◽  
Damage Estimates

Abstract. This paper addresses the large differences that are found between damage estimates of different flood damage models. It explains how implicit assumptions in flood damage functions and maximum damages can have large effects on flood damage estimates. This explanation is then used to quantify the uncertainty in the damage estimates with a Monte Carlo analysis. The Monte Carlo analysis uses a damage function library with 272 functions from seven different flood damage models. The paper shows that the resulting uncertainties in estimated damages are in the order of magnitude of a factor of 2 to 5. The uncertainty is typically larger for flood events with small water depths and for smaller flood events. The implications of the uncertainty in damage estimates for flood risk management are illustrated by a case study in which the economic optimal investment strategy for a dike segment in the Netherlands is determined. The case study shows that the uncertainty in flood damage estimates can lead to significant over- or under-investments.

scholarly journals Establishment of flood damage function models: A case study in the Bago River Basin, Myanmar

2018 ◽  
Vol 28 ◽  
pp. 688-700 ◽  
Author(s):  
Shelly Win ◽  
Win Win Zin ◽  
Akiyuki Kawasaki ◽  
Zin Mar Lar Tin San
Keyword(s):  
River Basin ◽  
Flood Damage ◽  
Damage Function ◽  
Function Models

scholarly journals Standard residential flood damage functions for South African conditions

2007 ◽  
Vol 26 (1) ◽  
pp. 26-36 ◽  
Author(s):  
Gawie De Villiers ◽  
Giel Viljoen ◽  
Herman Booysen
Keyword(s):  
Risk Management ◽  
Disaster Management ◽  
Disaster Risk ◽  
Flood Damage ◽  
Damage Function ◽  
Disaster Risk Management ◽  
Damage Functions ◽  
Planning Processes ◽  
Summary Statement ◽  
The University

Disaster risk management is an integral part of a scientific approach to disaster management. It refers to integrated, multi-sectoral, multi-disciplinary, organizational and operational planning processes and skills to mitigate disasters. Application of the approach necessitates disaster risk analysis, requiring flood damage functions in the case of floods. A flood damage function can be described mathematically, tabularly or graphically and refers to the relationship between flood characteristics like depth and/or speed of floodwater and flood damage to a specific land use type. Research conducted at the University of the Free State indicated the value of standard residential flood damage functions and the necessity for periodic updating to secure contemporary relevance. This article focuses on updating of the latter. The article starts with an introduction to put the development, use and maintenance of standard residential flood damage functions in context with regard to the latest views on disaster risk management, risk assessment, disaster management legislation in South Africa and a computer model TEWA, in which the flood damage functions are used. Aspects that can affect flood damage are briefly discussed, followed by sections on the development and upgrading of structural flood damage functions for formal housing as well as functions for determining damage to housing contents. The development of residential flood damage functions that can be applied nationally forms the main part of the paper and is followed by a brief summary statement.

scholarly journals Uncertainty in flood damage estimates and its potential effect on investment decisions

2015 ◽  
Vol 3 (1) ◽  
pp. 607-640 ◽  
Author(s):  
D. J. Wagenaar ◽  
K. M. de Bruijn ◽  
L. M. Bouwer ◽  
H. De Moel
Keyword(s):  
Monte Carlo ◽  
Optimal Investment ◽  
Monte Carlo Analysis ◽  
Investment Strategy ◽  
Potential Effect ◽  
Flood Damage ◽  
Damage Function ◽  
Damage Models ◽  
Damage Estimates

Abstract. This paper addresses the large differences that are found between damage estimates of different flood damage models. It explains how implicit assumptions in flood damage models can lead to large uncertainties in flood damage estimates. This explanation is used to quantify this uncertainty with a Monte Carlo Analysis. As input the Monte Carlo analysis uses a damage function library with 272 functions from 7 different flood damage models. This results in uncertainties in the order of magnitude of a factor 2 to 5. The resulting uncertainty is typically larger for small water depths and for smaller flood events. The implications of the uncertainty in damage estimates for flood risk management are illustrated by a case study in which the economic optimal investment strategy for a dike segment in the Netherlands is determined. The case study shows that the uncertainty in flood damage estimates can lead to significant over- or under-investments.

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