Risk reduction at the “Last-Mile”: an attempt to turn science into action by the example of Padang, Indonesia

Taubenböck, Hannes; Goseberg, Nils; Lämmel, Gregor; Setiadi, Neysa J.; Schlurmann, Torsten; Nagel, Kai; Siegert, Florian; Birkmann, Joern; Traub, Karl-Peter; Dech, Stefan; Keuck, Vanessa; Lehmann, Frank; Strunz, Günter; Klüpfel, Hubert

doi:10.1007/s11069-012-0377-0

Cited by 52 publications

(45 citation statements)

References 26 publications

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“…Meanwhile, the vertically integrated two-dimensional calculation models for the investigation of near-field tsunamis (TUNAMI-N1, -N2 and -N3 [10,11]; MOST [12]; COMCOT [13,14]; NAMIDANCE [15]; TsunAWI [16]; ANUGA [17]), which are based on NSWW theory, have been widely applied for both research [18][19][20][21][22][23][24] and practical purposes. For example, the TUNAMI has been transferred to many countries in the Tsunami Inundation Modeling Exchange (TIME) project [11,25].…”

Section: Introductionmentioning

confidence: 99%

“…• (Model 3) the roughness map and topographic model (Landuse-n/Topography model) (e.g., [18][19][20]23,30]), which is a hybrid model combining the Landuse-n model (or constant roughness model) with a topographical model. • (Model 4) the equivalent roughness and topographic model (Equivalent-n/Topography model) [29], which is a hybrid model combining the Equivalent-n model with a topographical model.…”

Section: Introductionmentioning

confidence: 99%

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Development of a Tsunami Inundation Analysis Model for Urban Areas Using a Porous Body Model

et al. 2018

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Abstract:To evaluate tsunami hazards with strong locality in urban areas, this study developed a novel tsunami inundation model based on nonlinear shallow water wave equations and a porous body model (PBM). By applying a kinematic boundary condition that includes both porosity and surface permeability of the porous medium, the proposed model could accurately incorporate geometric effects such as the flow anisotropy caused by the distributions of buildings. The proposed PBM demonstrated as good accuracy for the inundation heights around buildings near the coastline as with a conventional three-dimensional simulation with high resolution. In addition, the model showed its capability to reproduce a tsunami's essential behaviors in urban areas. In particular, the amplification effect of flow velocity along straight roads surrounded by buildings was reasonably reproduced. It can be expected that the present model can become a useful tool to accurately evaluate the tsunami risks in urban areas.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a Tsunami Inundation Analysis Model for Urban Areas Using a Porous Body Model

et al. 2018

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“…However, the application of scientifi c fi ndings to the mitigation of impacts holds many challenges, from issues of unclear communication and stakeholders with diff erent interests, to stakeholders not being aware of available information (see examples of these challenges in Taubenböck et al, 2013).…”

Section: The Management Of Risks: Early Warning and Mitigation Stratementioning

confidence: 99%

Risk management - a conceptual foundation

Taubenböck¹,

Müller²,

Geiß³

et al. 2018

Biodivers. Ecol.

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Risk is the potential interplay of a natural hazard, exposed elements in the respective area, and the vulnerability of these elements. We provide a general conceptualisation of risk against the background of globally increasing hazard events and, at the same time, increasing numbers of exposed and vulnerable elements resulting from population and economic growth as well as environmental degradation and exploitation of resources. We discuss general strategies for risk management and provide an overview of the situation in southern Africa, based on the fi eld studies described in this chapter.Resumo: Risco é a potencial interacção entre um perigo natural, elementos expostos na área respectiva e a vulnerabilidade desses elementos. A conceptualização geral de risco é dada em relação ao contexto do crescimento global de eventos de perigo e, ao mesmo tempo, ao aumento do número de elementos expostos e vulneráveis devido ao crescimento populacional e económico, bem como à degradação ambiental e exploração de recursos. Discutimos estratégias gerais para a gestão de riscos e fornecemos uma visão especial sobre a situação na África Austral, com base nos estudos de campo deste capítulo.

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“…In times of scarce public resources and increasing incidences and damages caused by floods (Bowering et al, 2014), public policy makers and network managers have the need to become increasingly aware of their causes and consequences so that they can appropriately manage their 20 risks, for example, through the adaptation of networks (Elsawah et al, 2014) or the planning of actions following a hazard event (Taubenböck et al, 2013). A number of methodologies have been developed to quantify the damages and costs due to flooding (Merz et al, 2010;Hammond et al, 2015).…”

Section: Contextmentioning

confidence: 99%

Estimating the risk related to networks: a methodology and an application on a road network

Hackl

Lam

Heitzler

et al. 2018

Preprint

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Abstract. Networks, such as transportation, water, and power, are critical lifelines to society. Managers plan and execute interventions to guarantee the operational state of their networks under various circumstances, including after the occurrence of (natural) hazard events. Creating an intervention program demands knowing the probable consequences (i.e., risk) of the various hazard events that could occur to be able to mitigate their effects. This paper introduces a methodology to support network managers in the quantification of the risk related to their networks. The method emphasizes the integration of the spatial and 5 temporal attributes of the events that need to be modeled to estimate the risk. This work then demonstrates the usefulness of the methodology through its application to design and implement a risk assessment to estimate the potential impact of flood and mudflow events on a road network located in Switzerland. The example includes the modeling of (i) multiple hazard events, (ii) their physical and functional effects throughout the road network, (iii) the functional interrelationships of the affected objects in the network, (iv) the resulting probable consequences in terms of expected costs of restoration, cost of traffic changes, and 10 duration of network disruption, and (v) the restoration of the network.

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Risk reduction at the “Last-Mile”: an attempt to turn science into action by the example of Padang, Indonesia

Cited by 52 publications

References 26 publications

Development of a Tsunami Inundation Analysis Model for Urban Areas Using a Porous Body Model

Development of a Tsunami Inundation Analysis Model for Urban Areas Using a Porous Body Model

Risk management - a conceptual foundation

Estimating the risk related to networks: a methodology and an application on a road network

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