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

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.

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Indoor Property Flood damage Assessment and Insurance for Residential Buildings based on HAZUS -- A case study of Mayangxi River Basin

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/643/1/012158 ◽

2021 ◽

Vol 643 ◽

pp. 012158

Author(s):

Nan Deng ◽

Xiao Wang ◽

Ying Yang

Keyword(s):

River Basin ◽

Damage Assessment ◽

Residential Buildings ◽

Flood Damage ◽

Flood Damage Assessment

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

Natural Hazards ◽

10.1007/s11069-014-1459-y ◽

2014 ◽

Vol 75 (3) ◽

pp. 2773-2791 ◽

Cited By ~ 22

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

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

Natural Hazards and Earth System Science ◽

10.5194/nhess-11-3327-2011 ◽

2011 ◽

Vol 11 (12) ◽

pp. 3327-3334 ◽

Cited By ~ 27

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.

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Anticipating of Potential Climate and Land Use Change Impacts on Floods: A Case Study of the Lower Nam Phong River Basin

Water ◽

10.3390/w12041158 ◽

2020 ◽

Vol 12 (4) ◽

pp. 1158 ◽

Cited By ~ 1

Author(s):

Kittiwet Kuntiyawichai ◽

Winai Sri-Amporn ◽

Sarayut Wongsasri ◽

Prinya Chindaprasirt

Keyword(s):

Land Use ◽

River Basin ◽

Climate Models ◽

Land Use Changes ◽

Flood Damage ◽

Mitigation Strategies ◽

Inundation Maps ◽

Rcp 8.5 ◽

Analysis System

This study aimed at quantifying the impacts of climate and land use changes on flood damage on different flood occurrences. A Hydrologic Engineering Center’s Hydrologic Modeling System (HEC-HMS) model was calibrated for the period 2005–2011 and validated in the period 2012–2017, and was used to generate hydrographs using rainfall during the period 2020–2039 from CNRM-CM5, IPSL-CM5A-MR, and MPI-ESM-LR climate models under Representative Concentration Pathways (RCPs) 4.5 and 8.5. A Hydrologic Engineering Center’s River Analysis System (HEC-RAS) model for use in generating inundation maps from hydrographs produced by HEC-HMS was calibrated and validated for 2010 and 2011 period, respectively. The climate and land use changes showed insignificant impacts on the extent of floods during 25-, 50-, and 100-year flood events, i.e., inundation in 2039 under RCP 4.5 is smaller than baseline (2000–2017) by 4.97–8.59 km2, whereas a larger difference of inundation is found for RCP 8.5 (0.39–5.30 km2). In contrast, the flood damage under RCP 4.5 (14.84–18.02 million US$) is higher than the baseline by 4.32–5.33 million US$, while the highest was found for RCP 8.5 (16.24–18.67 million US$). The agriculture was the most vulnerable, with a damage of 4.50–5.44 million US$ in RCP 4.5 and 4.94–5.72 million US$ in RCP 8.5, whereas baseline damages were 4.49–6.09 million US$. Finally, the findings are useful in the delivery of flood mitigation strategies to minimize flood risks in the lower Nam Phong River Basin.

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

Natural Hazards and Earth System Sciences Discussions ◽

10.5194/nhessd-3-607-2015 ◽

2015 ◽

Vol 3 (1) ◽

pp. 607-640 ◽

Cited By ~ 4

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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A GIS-based approach to compare economic damages of fluvial flooding in the Neckar River basin under current conditions and future scenarios

Natural Hazards ◽

10.1007/s11069-021-04757-y ◽

2021 ◽

Author(s):

Ruben Prütz ◽

Peter Månsson

Keyword(s):

River Basin ◽

Damage Assessment ◽

Flood Damage ◽

First Century ◽

Economic Losses ◽

Confidence Estimation ◽

Flood Damage Assessment ◽

Twenty First Century ◽

Economic Developments

AbstractFluvial floods can cause significant damages and are expected to increase in magnitude and frequency throughout the twenty-first century due to global warming. Alongside hazard characteristics, damage potentials depend on exposure and vulnerability, which are changing in the wake of socio-economic developments. In the context of continuously evolving damage-causing factors, assessments of future changes in flood damage potentials are increasingly asked for by decision-makers in flood risk management. This study addresses this need by (a) providing a systematic review of contemporary assessment approaches to quantitatively compare direct economic losses from fluvial flooding under current and future conditions and (b) combining the reviewed approaches to an applicable methodology which is used in a case study to quantify changing flood damage potentials in the Neckar River basin in southern Germany. Therefore, a scoping study of contemporary flood damage assessment approaches supported by geographic information systems (GIS) is performed. The subsequent case study of the Neckar River prognoses a significant increase in average annual flood damages in the study area throughout the twenty-first century. The case study produces valid results with regards to current precipitation data, whereas the absence of verification data makes the validation of projected scenarios more difficult. To account for uncertainties surrounding these future projections, a nascent qualitative confidence estimation is introduced to reflect on the strength of knowledge underlying the used flood damage assessment methodology.

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