HAZUS-MH Flood Loss Estimation Methodology. II. Damage and Loss Assessment

Scawthorn, Charles; Flores, Paul Caesar M.; Blais, Neil C.; Seligson, Hope A.; Tate, Eric; Chang, Stephanie E.; Mifflin, Edward R.; Thomas, Will; Murphy, James E.; Jones, Christopher P.; Lawrence, Michael

doi:10.1061/(asce)1527-6988(2006)7:2(72)

Cited by 323 publications

(210 citation statements)

References 1 publication

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“…Una de las principales limitaciones que enfrentan las DBN es la falta de información sobre cómo y dónde pueden ser más costo-eficientes. A modo de ejemplo, utilizando un modelo de riesgos [61] y simulaciones para distintos escenarios de degradación y restauración en el delta del Mississippi [62], una región en EUA con alta erosión y azotada por huracanes, se puede estimar que existe una diferencia de $800 millones de dólares entre el escenario de degradación y restauración de una marisma (Figura 2). La degradación supone por encima del 14% más de riesgo sobre una pérdida actual estimada en $2,800 millones de dólares, sin considerar el efecto tan significativo del nivel del mar y la subsidencia en esta zona (11 mm/año, muy por encima de la media global).…”

Section: Evidencia De Costo-eficienciaunclassified

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Uniendo ingeniería y ecología: la protección costera basada en ecosistemas

Reguero

Beck

Losada

et al. 2017

Ribagua

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Section: Evidencia De Costo-eficienciaunclassified

“…En el contexto del cambio climático, puede que las Figura 2. Ejemplo de restauración de marismas en Louisiana (EUA) y beneficio económico en la reducción del riesgo, modelado con HAZUS [61] y escenarios de degradación y restauración [62].…”

Section: Un Nuevo Paradigma En La Planificación Costera La Adaptacióunclassified

Uniendo ingeniería y ecología: la protección costera basada en ecosistemas

Reguero

Beck

Losada

et al. 2017

Ribagua

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“…Messner et al (2007) as well as Merz et al (2010) have compiled a state-of-the-art loss assessment and present rules and conventions for evaluating flood losses for different damage categories. As the main principle in the assessment of indirect effects, the determination of spatial and temporal boundaries is of prime importance and the purpose of a study (Messner et al, 2007;Merz et al, 2011;Pfurtscheller et al, 2011). Essentially, indirect effects cancel each other out through substitution of goods and services, if the analysed period is long enough and the region large enough (NRC, 1999).…”

Section: Systemising the Economic Effectsmentioning

confidence: 99%

Regional economic impacts of natural hazards – the case of the 2005 Alpine flood event in Tyrol (Austria)

Pfurtscheller

2014

Nat. Hazards Earth Syst. Sci.

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Abstract. Natural hazards have substantial impacts on economies on all scales. While the measurement of direct effects seems manageable, less is known about the dimensions of economic effects, especially on local and regional scales. The lack of standardized terminology, empirical data and methods currently hampers profound decision support. In our study of the 2005 flood event in the Federal State of Tyrol (Austria), which triggered about 264 million Euros in direct losses, we surveyed companies from all sectors of the economy to identify the drivers of economic effects. The main aim of the study was to assess the regional economic impacts on the gross regional product by the 2005 floods without macro-economic modelling techniques using bottom-up data. Using basic quantitative and qualitative methods, we established and analysed a data pool of questionnaire and interview results as well as direct loss data. Based on this empirical evidence, we estimated the decline in gross regional product in the study area at NUTS-3 level. We observed that disrupted traffic networks, for instance, had very negative effects on the regional economy. In addition, we identified economic winners of severe hazard impacts and estimated the amount of increasing economic flows (economic stimuli), based on compensation payments. Finally, the net effect can be estimated balancing the negative and positive effects of the flood event. The methods and results of this study can help to improve ex post loss estimations, and with it, ex ante methods for the cost efficiency of risk reduction measures, e.g. cost-benefit analysis. However, much effort is needed to improve the data basis on economic effects measured as a change in economic flows.

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“…(e.g. COPUT, 2002;Dawson, 2003;Scawthorn et al, 2006) for a certain flood depth. Consequently, extent of flooded areas, reference costs for affected assets and depth-damage curves are used to estimate direct costs.…”

Section: Basismentioning

confidence: 99%

A quantitative flood risk analysis methodology for urban areas with integration of social research data

Escuder‐Bueno¹,

Castillo-Rodríguez²,

Zechner

et al. 2012

Nat. Hazards Earth Syst. Sci.

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Abstract. Risk analysis has become a top priority for authorities and stakeholders in many European countries, with the aim of reducing flooding risk, considering the population's needs and improving risk awareness. Within this context, two methodological pieces have been developed in the period 2009-2011 within the SUFRI project (Sustainable Strategies of Urban Flood Risk Management with non-structural measures to cope with the residual risk, 2nd ERA-Net CRUE Funding Initiative). First, the "SUFRI Methodology for pluvial and river flooding risk assessment in urban areas to inform decision-making" provides a comprehensive and quantitative tool for flood risk analysis. Second, the "Methodology for investigation of risk awareness of the population concerned" presents the basis to estimate current risk from a social perspective and identify tendencies in the way floods are understood by citizens. Outcomes of both methods are integrated in this paper with the aim of informing decision making on non-structural protection measures. The results of two case studies are shown to illustrate practical applications of this developed approach. The main advantage of applying the methodology herein presented consists in providing a quantitative estimation of flooding risk before and after investing in non-structural risk mitigation measures. It can be of great interest for decision makers as it provides rational and solid information.

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HAZUS-MH Flood Loss Estimation Methodology. II. Damage and Loss Assessment

Cited by 323 publications

References 1 publication

Uniendo ingeniería y ecología: la protección costera basada en ecosistemas

Uniendo ingeniería y ecología: la protección costera basada en ecosistemas

Regional economic impacts of natural hazards – the case of the 2005 Alpine flood event in Tyrol (Austria)

A quantitative flood risk analysis methodology for urban areas with integration of social research data

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