Deconstructing urban flood damages: increasing the expressiveness of flood damage models combining a high level of detail with a broad attribute set

Veerbeek, William; Zevenbergen, Chris

doi:10.1111/j.1753-318x.2009.01021.x

Cited by 24 publications

(23 citation statements)

References 18 publications

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“…A flood is an overflow of water that submerges land, and may cause damage to agricultural lands, urban areas, and may even result in loss of lives (Huang et al 2008;Veerbeek & Zevenbergen 2009;Merz et al 2010;Markantonis et al 2013;Hudson et al 2014;Perera et al 2015;Yang et al 2015).…”

Section: Introductionmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

342

136

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Flood is considered to be the most common natural disaster worldwide during the last decades. Flood hazard potential mapping is required for management and mitigation of flood. The present research was aimed to assess the efficiency of analytical hierarchical process (AHP) to identify potential flood hazard zones by comparing with the results of a hydraulic model. Initially, four parameters via distance to river, land use, elevation and land slope were used in some part of the Yasooj River, Iran. In order to determine the weight of each effective factor, questionnaires of comparison ratings on the Saaty's scale were prepared and distributed to eight experts. The normalized weights of criteria/parameters were determined based on Saaty's nine-point scale and its importance in specifying flood hazard potential zones using the AHP and eigenvector methods. The set of criteria were integrated by weighted linear combination method using ArcGIS 10.2 software to generate flood hazard prediction map. The inundation simulation (extent and depth of flood) was conducted using hydrodynamic program HEC-RAS for 50-and 100-year interval floods. The validation of the flood hazard prediction map was conducted based on flood extent and depth maps. The results showed that the AHP technique is promising of making accurate and reliable prediction for flood extent. Therefore, the AHP and geographic information system (GIS) techniques are suggested for assessment of the flood hazard potential, specifically in no-data regions.

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Section: Introductionmentioning

confidence: 99%

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Rahmati

Zeinivand

Besharat

2015

Geomatics, Natural Hazards and Risk

342

136

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“…Some of these studies use catastrophe risk models to calculate risk reduction for different flood adaptation measures on local to regional scales (e.g. Veerbeek and Zevenbergen, 2009;Bouwer et al, 2010;Koks et al, 2014;Aerts et al, 2013), and for others on the river basin scale (e.g. te Linde et al, 2011;Poussin et al, 2012).…”

Section: Introductionmentioning

confidence: 99%

Assessment of the effectiveness of flood adaptation strategies for HCMC

Lasage

Veldkamp

Moel

et al. 2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Coastal cities are vulnerable to flooding, and flood risk to coastal cities will increase due to sea-level rise. Moreover, Asian cities in particular are subject to considerable population growth and associated urban developments, increasing this risk even more. Empirical data on vulnerability and the cost and benefits of flood risk reduction measures are therefore paramount for sustainable development of these cities. This paper presents an approach to explore the impacts of sea-level rise and socio-economic developments on flood risk for the flood-prone District 4 in Ho Chi Minh City, Vietnam, and to develop and evaluate the effects of different adaptation strategies (new levees, dry-and wet proofing of buildings and elevating roads and buildings).A flood damage model was developed to simulate current and future flood risk using the results from a household survey to establish stage-damage curves for residential buildings. The model has been used to assess the effects of several participatory developed adaptation strategies to reduce flood risk, expressed in expected annual damage (EAD). Adaptation strategies were evaluated assuming combinations of both sea-level scenarios and land-use scenarios. Together with information on costs of these strategies, we calculated the benefit-cost ratio and net present value for the adaptation strategies until 2100, taking into account depreciation rates of 2.5 % and 5 %.The results of this modelling study indicate that the current flood risk in District 4 is USD 0.31 million per year, increasing up to USD 0.78 million per year in 2100. The net present value and benefit-cost ratios using a discount rate of 5 % range from USD −107 to −1.5 million, and from 0.086 to 0.796 for the different strategies. Using a discount rate of 2.5 % leads to an increase in both net present value and benefit-cost ratio. The adaptation strategies wet-proofing and dry-proofing generate the best results using these economic indicators. The information on different strategies will be used by the government of Ho Chi Minh City to determine a new flood protection strategy. Future research should focus on gathering empirical data right after a flood on the occurring damage, as this appears to be the most uncertain factor in the risk assessment.

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“…Principal reasons for the ongoing process are the continuing urban development in flood-prone areas and climate change effects (e.g., [1][2][3][4]). They underline the further necessity to improve the resilience of urban areas by suitable flood prevention and flood damage mitigation concepts.…”

Section: Introductionmentioning

confidence: 99%

“…The review from [26] compared advantages and disadvantages of different approaches and pointed out that stakeholders mainly used simplified approaches, particularly due to minor requirements on any data and knowledge about damage mechanisms. Nevertheless, research activities have promoted additional model developments up to the present with continuously increasing requirements related to the spatial resolution, the understanding and integration of complementary processes, the consideration of additional parameters as well as the reduction of model uncertainty (e.g., [1,7,12,[27][28][29]). These developments underline the importance of a deeper process understanding combined with appropriate data mining and smart simulation algorithms.…”

Section: Introductionmentioning

confidence: 99%

Analysing the Effects of Flood-Resilience Technologies in Urban Areas Using a Synthetic Model Approach

Schinke

Kaidel

Gölz

et al. 2016

IJGI

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Abstract:Flood protection systems with their spatial effects play an important role in managing and reducing flood risks. The planning and decision process as well as the technical implementation are well organized and often exercised. However, building-related flood-resilience technologies (FReT) are often neglected due to the absence of suitable approaches to analyse and to integrate such measures in large-scale flood damage mitigation concepts. Against this backdrop, a synthetic model-approach was extended by few complementary methodical steps in order to calculate flood damage to buildings considering the effects of building-related FReT and to analyse the area-related reduction of flood risks by geo-information systems (GIS) with high spatial resolution. It includes a civil engineering based investigation of characteristic properties with its building construction including a selection and combination of appropriate FReT as a basis for derivation of synthetic depth-damage functions. Depending on the real exposition and the implementation level of FReT, the functions can be used and allocated in spatial damage and risk analyses. The application of the extended approach is shown at a case study in Valencia (Spain). In this way, the overall research findings improve the integration of FReT in flood risk management. They provide also some useful information for advising of individuals at risk supporting the selection and implementation of FReT.

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Deconstructing urban flood damages: increasing the expressiveness of flood damage models combining a high level of detail with a broad attribute set

Cited by 24 publications

References 18 publications

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Flood hazard zoning in Yasooj region, Iran, using GIS and multi-criteria decision analysis

Assessment of the effectiveness of flood adaptation strategies for HCMC

Analysing the Effects of Flood-Resilience Technologies in Urban Areas Using a Synthetic Model Approach

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