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Special Issue "Recent Advances in the Assessment of Current and Future Flood Risk"

A special issue of Water (ISSN 2073-4441). This special issue belongs to the section "Hydrology".

Deadline for manuscript submissions: 30 September 2019.

Special Issue Editor

Guest Editor
Prof. Matthew Wilson

Geospatial Research Institute, University of Canterbury
Website | E-Mail
Interests: Surface water hydrology, Flood risk, River science, Water resources, Impacts of climate change, Geographical Information Science (GIS), Spatial Data Infrastructure (SDI), Uncertainty analysis

Special Issue Information

Dear Colleagues,

Flood risk assessments aim to assess the likelihood and consequences of flooding in order to produce a comprehensive analysis that can guide the development of mitigation measures. However, both likelihood and consequences are challenging to determine with high confidence, particularly due to non-stationarity (e.g., resulting from catchment alterations or climate change), flood model uncertainty (e.g., structural or from boundary conditions), interaction with other hazards (e.g., earthquakes can increase the risk of levee breach), and uncertainty in damage or impact assessments (e.g., due to large variability between elements at risk, difficulties in including secondary or intangible impacts, and changing vulnerabilities). These uncertainties present considerable challenges for decision makers tasked with flood risk management; approaches are required that account for changes to risk and associated uncertainties.

This Special Issues focusses on recent advances that address these and other challenges in flood-risk assessment, with potential topics including but not limited to the following:

Non-stationarity: assessing flood risk under climate change, assessing flood risk in changing catchments, and flood frequency analysis considering non-stationarity.

Uncertainty in likelihoods: quantification of uncertainty in risk assessments; data and flood model uncertainty.

Uncertainty in consequences: damage modelling accounting for variability and change, transferability of damage models, and accounting for intangible impacts.

Hazard interactions: multi-hazard risk assessment; quantification of flood risks associated with multiple combined events.

New approaches: novel application of data science techniques to flood risk assessment and management.

From flood risk assessment to management: presentation and communication of risk and uncertainty; accounting for uncertain future change in flood-risk management.

Prof. Matthew Wilson
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Water is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • flood-risk assessment
  • flood likelihoods
  • assessment of flood impacts
  • multi-hazards
  • non-stationarity
  • climate change
  • uncertainty
  • flood mitigation

Published Papers (1 paper)

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Research

Open AccessArticle
Uncertainty Assessment of Climate Change Adaptation Options Using an Economic Pluvial Flood Risk Framework
Water 2018, 10(12), 1877; https://doi.org/10.3390/w10121877
Received: 30 October 2018 / Revised: 13 December 2018 / Accepted: 14 December 2018 / Published: 19 December 2018
PDF Full-text (2986 KB) | HTML Full-text | XML Full-text
Abstract
Identifying what, when, and how much adaptation is needed to account for increased pluvial flood risk is inherently uncertain. This presents a challenge to decision makers when trying to identify robust measures. This paper presents an integrated uncertainty analysis to quantify not only [...] Read more.
Identifying what, when, and how much adaptation is needed to account for increased pluvial flood risk is inherently uncertain. This presents a challenge to decision makers when trying to identify robust measures. This paper presents an integrated uncertainty analysis to quantify not only the overall uncertainty of individual adaptation scenarios, but also the net uncertainty between adaptation alternatives for a direct comparison of their efficiency. Further, a sensitivity analysis is used to assess the relative contribution of inherent uncertainties in the assessment. A Danish case study shows that the uncertainties in relation to assessing the present hazards and vulnerabilities (e.g., input runoff volume, threshold for damage, and costing of floods) are important to the overall uncertainty, thus contributing substantially to the overall uncertainty in relation to decisions on action or in-action. Once a decision of action has been taken, the uncertainty of the hazards under the current climate, and also the magnitude of future climate change, are less important than other uncertainties such as discount rate and the cost of implementing the adaptation measures. The proposed methodology is an important tool for achieving an explicit uncertainty description of climate adaptation strategies and provides a guide for further efforts (e.g., field data collection) to improve decision-making in relation to climate change. Full article
(This article belongs to the Special Issue Recent Advances in the Assessment of Current and Future Flood Risk)
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