The evaluation of vulnerability to flooding

Green, Colin H.

doi:10.1108/09653560410556546

Cited by 72 publications

(38 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The meaning of vulnerability is too broad in the absence of a supplementary description, and each definition of vulnerability should depend on a certain vulnerable situation [52,53]. The Intergovernmental Panel for Climate Change (IPCC) defined vulnerability (with regard to climate change) as "the degree to which a system is susceptible to, or unable to cope with, adverse effects of climate change [ .…”

Section: Basic Architecture Of the Conceptual Modelmentioning

confidence: 99%

See 1 more Smart Citation

A Conceptual Modeling Approach to Health-Related Urban Well-Being

et al. 2017

View full text Add to dashboard Cite

Abstract:In cities, social well-being faces obstacles posed by globalization, demographic and climate change, new forms of social organization, and the fragmentation of lifestyles. These changes affect the vulnerability of city societies and impact their health-related urban well-being (UrbWellth). The conceptual model introduced in this paper systematizes the relevant variables while considering previous research, and establishes the target value UrbWellth. The model differs from existing approaches mainly in the analytical distinctions it suggests. These allow us to group the relevant urban influence variables into four sectors and enable a more general and abstract consideration of health-related urban relations. The introduction of vulnerability as a filter and transfer function acts as an effect modifier between UrbWellth and the various urban variables.

show abstract

Section: Basic Architecture Of the Conceptual Modelmentioning

confidence: 99%

“…Meanwhile sensitivity is described as the "degree to which a system is affected, either adversely or beneficially" [54]. Sensitivity is also known as social vulnerability and is commonly used in the social sciences [53,56].…”

Section: Basic Architecture Of the Conceptual Modelmentioning

confidence: 99%

A Conceptual Modeling Approach to Health-Related Urban Well-Being

et al. 2017

View full text Add to dashboard Cite

show abstract

“…An objective measurement of risk can be produced by analysing probabilities and consequences (Helm 1996). The most widely used equation to express risk is probability multiplied by (negative) consequence, although many more definitions with other combinations of probability and consequence are available in the literature (Blaikie et al 1994;Green 2004). However, in the Bayesian way of thinking, objectivity does not exist in the context of measuring.…”

Section: Introductionmentioning

confidence: 99%

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

2008

View full text Add to dashboard Cite

The conventional method of risk analysis (with risk as a product of probability and consequences) does not allow for a pluralistic approach that includes the various risk perceptions of stakeholders or lay people within a given social system. This article introduces a methodology that combines the virtues of three different methods: the quantifiable conventional approach to risk; the taxonomic analysis of perceived risk; and the analytical framework of a spatial multi-criteria analysis. This combination of methods is applied to the case study 'Ebro Delta' in Spain as part of the European sixth framework project 'Floodsite'. First, a typology for flood hazards is developed based on individual and/or stakeholders' judgements. Awareness, worry and preparedness are the three characteristics that typify a community to reflect various levels of ignorance, perceived security, perceived control or desired risk reduction. Applying 'worry' as the central characteristic, a trade-off is hypothesized between Worry and the benefits groups in society receive from a risky situation. Second, this trade-off is applied in Spatial Multi-Criteria Analysis (SMCA). MCA is the vehicle that often accompanies participatory processes, where governmental bodies have to decide on issues in which local stakeholders have a say. By using risk perception-scores as weights in a standard MCA procedure a new decision framework for risk assessment is developed. Finally, the case of sea-level rise in the Ebro Delta in Spain serves as an illustration of the applied methodology. Risk perception information has been collected with help of an on-site survey. Risk perception enters the multi-criteria analysis as complementary weights for the criteria risk and benefit. The results of the survey are applied to a set of scenarios representing both sea-level rise and land subsidence for a time span of 50 years. Land use alternatives have been presented to stakeholders in order to provide the regional decision maker with societal preferences 123Nat Hazards (2008) 46:307-322 DOI 10.1007 for handling risk. Even with limited resources a characteristic 'risk profile' could be drawn that enables the decision maker to develop a suitable land use policy.

show abstract

“…Minimising flood damage costs need balanced approaches in structural and non-structural measures that should be considered with intensive care (Green, 2004). Lacking or overlooking information support can lead to impractical measures and inappropriate decisions.…”

Section: Urban Floodingmentioning

confidence: 99%

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Meesuk¹

2017

View full text Add to dashboard Cite

Although all care is taken to ensure the integrity and the quality of this publication and the information herein, no responsibility is assumed by the publishers, the author nor UNESCO-IHE for any damage to the property or persons as a result of operation or use of this publication and/or the information contained herein. A pdf version of this work will be made available as Open Access via http://repository.tudelft.nl/ihe This version is licensed under the Creative Commons Attribution-Non Commercial 4.0 International License, http://creativecommons.org/licenses/by-nc/4.0/Published by: CRC Press/Balkema PO Box 11320, 2301 EH Leiden, the Netherlands e-mail: Pub.NL@taylorandfrancis.com www.crcpress.com -www.taylorandfrancis.com to my dear family SummaryModelling urban flood dynamics requires detailed knowledge of a number of complex processes. Numerical simulation of flood propagation requires proper understanding of all processes involved. Also, special care has to be taken to adequately represent the urban topography, taking into account typical urban features like underpasses and hidden alleyways. Incorrect input data will affect the numerical model results, which may lead to inadequate flood-protection measures or even catastrophic flooding situations. This thesis explores how to include particular urban topographic features in urban flood modelling.Aerial Light Detection and Ranging (LiDAR) systems offer opportunities for achieving good quality topographic data, with less fieldwork on the ground. Even though aerial LiDAR data have long been used in many applications, conventional top-view LiDAR data can not quite capture some hidden urban features. However, recent improvements in Structure from Motion (SfM) techniques provide opportunities to achieve improved quality topographic data by using multiple viewpoints, including side-view data.This dissertation explores insights into the capabilities of assimilating SfM point cloud data by using multi-source views as input for enhancing 2D urban flood modelling. Side-view SfM point cloud data are collected and merged with conventional top-view LiDAR point cloud data to create novel Multi-Source Views (MSV) topographic data. The main objectives of this research are (i) to provide insight into the capabilities of using computer-based environments; (ii) to explore the benefits of using the new MSV data; (iii) to enhance 2D model schematizations; (iv) to compare simulated results using new MSV data and conventional top-view LiDAR data as input for urban flood models; and (v) to help developing flood-protection measures. Findings showed that simulation results using conventional top-view LiDAR-DSM as input show the least flood inundation areas and results contained many dry areas. This is because conventional LiDAR-DSM does not capture hidden urban features like underpasses, high trees, overarching structures, which behave as obstacles in 2D model schematics. When applying extended top-view LiDAR-DBM+ and the newly developed MSV-DEM as input, simulation results showed m...

show abstract

The evaluation of vulnerability to flooding

Cited by 72 publications

References 11 publications

A Conceptual Modeling Approach to Health-Related Urban Well-Being

A Conceptual Modeling Approach to Health-Related Urban Well-Being

Flood risk perceptions and spatial multi-criteria analysis: an exploratory research for hazard mitigation

Point Cloud Data Fusion for Enhancing 2D Urban Flood Modelling

Contact Info

Product

Resources

About