Flood Risk Analysis and Assessment

A special issue of Climate (ISSN 2225-1154).

Deadline for manuscript submissions: closed (1 March 2021) | Viewed by 10745

Special Issue Editors


E-Mail Website1 Website2
Guest Editor
Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, 35-959 Rzeszow, Poland
Interests: reliability and safety of municipal systems; water supply systems; water network; risk analysis connected with water supply systems operation; safety of water supply consumers; failure risk analysis; reliability-based risk assessment
Special Issues, Collections and Topics in MDPI journals

E-Mail Website1 Website2
Guest Editor
Department of Water Supply and Sewerage Systems, Faculty of Civil, Environmental Engineering and Architecture, Rzeszow University of Technology, 35-959 Rzeszow, Poland
Interests: reliability and safety of municipal systems; risk analysis connected with water supply systems operation; safety of water supply consumers; failure risk analysis; reliability-based risk assessment
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

The Water Law defines flood risk as the combination of the probability of a flood event and the potential adverse consequences for human health, the environment, cultural heritage and economic activity associated with a flood event. Flood protection is the task of the government and self-government administration bodies assisted by water users. Protection against floods is performed by taking flood hazard maps, flood risk maps and flood risk management plans into account through, e.g., a multi-index evaluation of flood disasters, building ANN-Based Regional Multi-Step-Ahead Flood models, using a response curve approach, sketch maps, a cloud-model-based method for risk assessment, the application of a Bayesian approach to dynamic assessments of floods, and a parametric distance function approach. For their preparation, it is necessary to conduct a preliminary flood risk assessment, taking the method of calculating the value of potential flood loss in individual classes of land use into account, for the purpose of developing flood risk maps.

Dr. Katarzyna Pietrucha-Urbanik, DSc, PhD, Eng.
Dr. Barbara Tchórzewska-Cieślak, DSc, PhD, Eng.
Guest Editors

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Keywords

  • Floods
  • Flood exposure
  • Flood risk
  • Managing flood risk
  • Urban flood risk mapping
  • Methods for risk analysis
  • Implementation of risk analysis in the assessment of flood risk
  • Flood losses

Published Papers (2 papers)

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Research

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18 pages, 1419 KiB  
Article
Flood Impacts on Dairy Farms in the Bay of Plenty Region, New Zealand
by Ryan Paulik, Kate Crowley, Nicholas A. Cradock-Henry, Thomas M. Wilson and Ame McSporran
Climate 2021, 9(2), 30; https://0-doi-org.brum.beds.ac.uk/10.3390/cli9020030 - 03 Feb 2021
Cited by 13 | Viewed by 4982
Abstract
Flood damage assessments provide critical information for flood hazard mitigation under changing climate conditions. Recent efforts to improve and systemise damage assessments have focused primarily on urban environments with few examples for primary industries such as dairy. This paper explores the adverse consequences [...] Read more.
Flood damage assessments provide critical information for flood hazard mitigation under changing climate conditions. Recent efforts to improve and systemise damage assessments have focused primarily on urban environments with few examples for primary industries such as dairy. This paper explores the adverse consequences of flooding on dairy farms in the Bay of Plenty region, New Zealand. Ex-tropical Cyclone Debbie in April 2017 caused prolonged riverine and surface water flooding on over 3500 hectares of dairy farmland. The event provided an opportunity to develop and apply a participatory approach for collecting information about on-farm flood damage, and both response and recovery actions implemented by dairy farmers. Semi-structured interviews and transect walks with farmers revealed a range of direct and indirect damages to production and capital assets, influenced by duration of inundation, silt deposition and seasonality. Results highlight the need to identify on-farm and off-farm asset interdependencies of dairy farm systems to estimate long-term socio-economic consequences at farm-level. Enhancing dairy farm flood resilience in a changing climate will rely on farm-level response and recovery plans, proactively supported by emergency management agencies, farm service suppliers and support agencies. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Assessment)
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Review

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18 pages, 1237 KiB  
Review
Flood Vulnerability Analysis in Urban Context: A Socioeconomic Sub-Indicators Overview
by Velia Bigi, Elena Comino, Magda Fontana, Alessandro Pezzoli and Maurizio Rosso
Climate 2021, 9(1), 12; https://0-doi-org.brum.beds.ac.uk/10.3390/cli9010012 - 09 Jan 2021
Cited by 23 | Viewed by 4961
Abstract
Despite indicators-based assessment models for flood vulnerability being a well-established methodology, a specific set of indicators that are universally or widely accepted has not been recognized yet. This work aims to review previous studies in the field of vulnerability analysis in order to [...] Read more.
Despite indicators-based assessment models for flood vulnerability being a well-established methodology, a specific set of indicators that are universally or widely accepted has not been recognized yet. This work aims to review previous studies in the field of vulnerability analysis in order to overcome this knowledge gap identifying the most accepted sub-indicators of exposure, sensitivity and adaptive capacity. Moreover, this review aims to clarify the use of the terms of vulnerability and risk in vulnerability assessment. Throughout a three-phase process, a matrix containing all the sub-indicators encountered during the review process was constructed. Then, based on an adaptation of the Pareto diagram, a set of the most relevant sub-indicators was identified. According to the citation count of each sub-indicator, indeed, 33 sub-indicators were chosen to represent the most universally or widely accepted sub-indicators. Full article
(This article belongs to the Special Issue Flood Risk Analysis and Assessment)
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