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Lekuthai, Atthanan; Vongvisessomjai, Suphat

doi:10.1023/a:1014489329348

Cited by 85 publications

(24 citation statements)

References 23 publications

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“…In order to assess possible consequences of a flood, several flood damage models have been developed in Europe. These models generally focus on quantifying flood damages in monetary terms (Kok et al 2005;Hall et al 2005a;IKSR 2001;Thieken et al 2008). Meyer and Messner (2005) have evaluated flood damage assessment methods employed in the United Kingdom, the Netherlands, the Czech Republic and Germany.…”

Section: Introductionmentioning

confidence: 99%

“…In Flanders (Belgium), Vanneuville et al (2006) have created a method to assess damages largely based on land-use types plus a limited number of additional point data. In the Netherlands, the so-called standard-method (HIS-SSM) is used to calculate flood damages, which combine land-use and building data on various spatial scales with synthetic damage curves (Kok et al 2005). Similar flood damage models have been developed in other parts of the world like the USA (see e.g.…”

Section: Introductionmentioning

confidence: 99%

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Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

2010

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With the recent transition to a more risk-based approach in flood management, flood risk models-being a key component in flood risk management-are becoming increasingly important. Such models combine information from four components: (1) the flood hazard (mostly inundation depth), (2) the exposure (e.g. land use), (3) the value of elements at risk and (4) the susceptibility of the elements at risk to hydrologic conditions (e.g. depth-damage curves). All these components contain, however, a certain degree of uncertainty which propagates through the calculation and accumulates in the final damage estimate. In this study, an effort has been made to assess the influence of uncertainty in these four components on the final damage estimate. Different land-use data sets and damage models have been used to represent the uncertainties in the exposure, value and susceptibility components. For the flood hazard component, inundation depth has been varied systematically to estimate the sensitivity of flood damage estimations to this component. The results indicate that, assuming the uncertainty in inundation depth is about 25 cm (about 15% of the mean inundation depth), the total uncertainty surrounding the final damage estimate in the case study area can amount to a factor 5-6. The value of elements at risk and depth-damage curves are the most important sources of uncertainty in flood damage estimates and can both introduce about a factor 2 of uncertainty in the final damage estimates. Very large uncertainties in inundation depth would be necessary to have a similar effect on the uncertainty of the final damage estimate, which seem highly unrealistic. Hence, in order to reduce the uncertainties surrounding potential flood damage estimates, these components deserve prioritisation in future flood damage research. While absolute estimates of flood damage exhibit considerable uncertainty (the above-mentioned factor 5-6), estimates for proportional changes in flood damages (defined as the change in flood damages as a percentage of a base situation) are much more robust.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

2010

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“…In the present paper, monetary risks are quantified as damages in USD. Damages can be further distinguished in different categories (Lekuthai and Vongvisessomjai 2001;Messner and Meyer 2006;Kind 2014) The damage calculations presented in the paper include an estimation of all three damage categories.…”

Section: Terminologymentioning

confidence: 99%

Coastal hazard risk assessment for small islands: assessing the impact of climate change and disaster reduction measures on Ebeye (Marshall Islands)

2018

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Small island states around the world are among the areas most vulnerable to climate change and sea level rise. In this paper, we present results from an innovative methodology for a quantitative assessment of multiple hazards on coastal risks, driven by different hydro-meteorological events, and including the effects of climate change. Moreover, we take an additional step by including in the methodology the option to assess and compare the effectiveness of possible disaster risk reduction measures. The methodology is applied to a real case study at the island of Ebeye (the Republic of the Marshall Islands). An example is provided in which a rock revetment is implemented as a risk reduction measure for the island. Results show that yearly expected damages may increase, by the end of the century, by a factor of three to four, depending on the sea level rise scenario considered, while the number of yearly affected people may double. Putting a cap on the temperature increase (e.g. 1.5 vs. 2°C) according to the Paris Agreement may reduce damages and number of affected people by about 20 and 15%, respectively. However, impacts for same warming levels can vary substantially among different emission scenarios. Disaster risk reduction measures can be useful for mitigating risks in current and future situations but should be incorporated within long-term adaptive planning for these islands.

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“…Flood impacts are often described using a framework that classifies damages as 'direct vs. indirect' and 'tangible vs. intangible' [33]. Direct, tangible damages are those that occur as a result of direct contact with water and can be readily quantified by established metrics [3,10].…”

Section: Flood Impact Assessmentsmentioning

confidence: 99%

Socioeconomic Impact Evaluation for Near Real-Time Flood Detection in the Lower Mekong River Basin

Oddo¹,

Ahamed²,

Bolten³

2018

Hydrology

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Flood events pose a severe threat to communities in the Lower Mekong River Basin. The combination of population growth, urbanization, and economic development exacerbate the impacts of these events. Flood damage assessments, critical for understanding the effects of flooding on the local population and informing decision-makers about future risks, are frequently used to quantify the economic losses due to storms. Remote sensing systems provide a valuable tool for monitoring flood conditions and assessing their severity more rapidly than traditional post-event evaluations. The frequency and severity of extreme flood events are projected to increase, further highlighting the need for improved flood monitoring and impact analysis. In this study we integrate a socioeconomic damage assessment model with a near real-time flood remote sensing and decision support tool (NASA's Project Mekong). Direct damages to populations, infrastructure, and land cover are assessed using the 2011 Southeast Asian flood as a case study. Improved land use/land cover and flood depth assessments result in rapid loss estimates throughout the Mekong River Basin. Results suggest that rapid initial estimates of flood impacts can provide valuable information to governments, international agencies, and disaster responders in the wake of extreme flood events.

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Untitled

Cited by 85 publications

References 23 publications

Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

Effect of uncertainty in land use, damage models and inundation depth on flood damage estimates

Coastal hazard risk assessment for small islands: assessing the impact of climate change and disaster reduction measures on Ebeye (Marshall Islands)

Socioeconomic Impact Evaluation for Near Real-Time Flood Detection in the Lower Mekong River Basin

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