scholarly journals Estimating the Probability of Compound Floods in Estuarine Regions

2020 ◽  
Author(s):  
Wenyan Wu ◽  
Seth Westra ◽  
Michael Leonard

Abstract. The quantification of flood risk in estuarine regions relies on accurate estimation of flood probability, which is often challenging due to the rareness of flood events and their multi-causal (or compound) nature. Failure to consider the compounding nature of estuarine floods can lead to significant underestimation of flood risk in these regions. This study provides a comparative review of alternative approaches for estuarine flood estimation; namely, traditional univariate flood frequency analysis applied to both observed historical data and simulated data, and multivariate frequency analysis applied to flood events. Three specific implementations of the above approaches are evaluated on a case study – the estuarine portion of Swan River in Western Australia, highlighting the advantages and disadvantages of each approach. The theoretical understanding of the three approaches, combined with findings from the case study, enable generation of guidance on method selection for estuarine flood probability estimation, recognising issues such as data availability, complexity of the application/analysis process, location of interest within the estuarine region, computational demands and whether or not future conditions need to be assessed.

2021 ◽  
Vol 25 (5) ◽  
pp. 2821-2841
Author(s):  
Wenyan Wu ◽  
Seth Westra ◽  
Michael Leonard

Abstract. The quantification of flood risk in estuarine regions relies on accurate estimation of flood probability, which is often challenging due to the rareness of hazardous flood events and their multi-causal (or “compound”) nature. Failure to consider the compounding nature of estuarine floods can lead to significant underestimation of flood risk in these regions. This study provides a comparative review of alternative approaches for estuarine flood estimation – namely, traditional univariate flood frequency analysis applied to both observed historical data and simulated data, as well as multivariate frequency analysis applied to flood events. Three specific implementations of the above approaches are evaluated on a case study – the estuarine portion of Swan River in Western Australia – highlighting the advantages and disadvantages of each approach. The theoretical understanding of the three approaches, combined with findings from the case study, enable the generation of guidance on method selection for estuarine flood probability estimation, recognizing issues such as data availability, the complexity of the application/analysis process, the location of interest within the estuarine region, the computational demands, and whether or not future conditions need to be assessed.


2019 ◽  
Vol 46 (6) ◽  
pp. 853-860 ◽  
Author(s):  
Igor Leščešen ◽  
Marko Urošev ◽  
Dragan Dolinaj ◽  
Milana Pantelić ◽  
Tamás Telbisz ◽  
...  

2019 ◽  
Author(s):  
Erica Tauzer ◽  
Mercy J. Borbor-Cordova ◽  
Jhoyzett Mendoza ◽  
Telmo de la Cuadra ◽  
Jorge Cunalata ◽  
...  

Background: Populations in coastal cities are exposed to increasing risk of flooding, resulting in rising damages to health and assets. Local adaptation measures, such as early warning systems for floods (EWSFs), are urgently needed to reduce the risk and impact of flood events. The aim of this study was to assess community perceptions and self-reported actions in response to flooding in a tropical coastal city to inform flood risk reduction policies and programs.Methods: This qualitative case study was conducted in flood-prone areas in Machala, Ecuador, a coastal city exposed to seasonal floods and extreme floods during El Niño events. Adult community members from three periurban sites were invited to participate. Focus groups discussions (11 focus groups in total) were held with community members (n=65 people) from September to November 2014 to assess perceptions of flood exposure, sensitivity, adaptive capacity, and current alert systems. Focus groups discussions were audio recorded, transcribed, and coded by topic; participatory maps were field validated, georeferenced, and digitized using GIS software. Results: Community members identified the presence of annual flooding during the rainy season, as well as greater than normal flood events (depths ranging from 0.5 to 3 meters), which recurred every 3-4 years in some communities. The deepest floods occurred during the 1982 and 1997/1998 El Niño events. Community members perceived that exposure to flooding depended on the rainfall coinciding with high ocean tides, and geographic proximity to blocked drainage areas, canals, and low local elevation. Participants reported that children were the most sensitive group due to increased susceptibility to skin infections and mosquito borne diseases (i.e., dengue fever). Other sensitive groups included the elderly, physically handicapped people, low-income families, and recent migrants. They identified persistent social-ecological vulnerabilities that increased flood risk and exposure in the urban periphery, such as inadequate access to garbage collection, homes settled in precarious low-lying geographies, economic barriers, lack of political access, and lack of social mobilization. In addition, communities expressed a lack of social capital (e.g. political voice), despite the existence of formalized community councils. Key neighborhood resources with respect to flooding included green areas, schools, nurseries, fire stations, health clinics, police stations, a retention wall (berm), and an emergency meeting place. Challenges for adaptive capacity existed primarily in actions related to the preparation and recovery stages of flooding. Despite the presence of an official flood warning system, community member relied on informal communication channels via social media. Conclusions: The flood vulnerability assessment framework and participatory research process utilized here can potentially inform studies in other flood-prone regions to guide the development of EWSFs and other climate change adaptation policies and actions.


2013 ◽  
Vol 1 (6) ◽  
pp. 7615-7646 ◽  
Author(s):  
N. Macdonald ◽  
T. R. Kjeldsen ◽  
I. Prosdocimi ◽  
H. Sangster

Abstract. The application of historical flood information as a tool for augmenting instrumental flood data is increasingly recognised as a valuable tool; most previous studies have focused on large catchments with historic settlements, this paper applies the approach to the smaller lowland system of the Sussex Ouse in Southeast England. The reassessment of flood risk on the Sussex Ouse is pertinent in light of severe flooding in October 2000 and heightened concerns of a perceived increase in flooding nationally. Systematic flood level readings from 1960 and accounts detailing past flood events within the catchment are compiled back to c.1750. This extended flood record provides an opportunity to reassess estimates of flood frequency over a timescale not normally possible within flood frequency analysis. This paper re-evaluates flood frequency at Lewes on the Sussex Ouse downstream of the confluence of the Sussex Ouse and River Uck. The paper considers the strengths and weaknesses in estimates resulting from contrasting methods of analysis and their corresponding data: (i) single site analysis of gauged annual maxima; (ii) combined analysis of systematic annual maxima augmented with historical peaks of estimated magnitude; (iii) combined analysis of systematic annual maxima augmented with historical peaks of estimated magnitude exceeding a known threshold, and (iv) sensitivity analysis including only the very largest historical flood events. Use of the historical information was found to yield much tighter confidence intervals of risk estimates, with uncertainty reduced by up to 40% for the 100 yr return frequency event when historical information was added to the gauged data.


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