Achieving Urban Flood Resilience in an Uncertain Future

Fenner, Richard; O’Donnell, Emily; Ahilan, S; Dawson, David; Kapetas, Leon; Krivtsov, Vladimir; Ncube, Sikhululekile; Vercruysse, Kim

doi:10.3390/w11051082

Cited by 43 publications

(27 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The method has been tested in Carshalton (London Borough of Sutton), exploring and prioritising a series of potential pathways and developing a roadmap for adaptation over the next 40 years (Figure 3). This combines hydrodynamic modelling to identify when service thresholds are exceeded and trigger further intervention, and evaluation (monetised and spatial incorporating a real options approach) of the multiple benefits of different BG þ G pathways (Gersonius et al 2015;Manocha & Babovic 2017;Fenner et al 2019). Additional criteria beyond a standard cost benefit analysis (CBA) form part of the decision-making process.…”

Section: Theme 1: Engineering Design To Enhance Service Delivery (Wp1)mentioning

confidence: 99%

“…good and bad words) based on reaction times. IATs have been used in environmental research evaluating, for example, implicit connectedness with nature (Liu et al 2019), and are being trialled by the UFR Consortium to help identify some of the underlying implicit attitudes towards the use of blue, green and grey space that may exert a significant influence on public preferences (Fenner et al 2019).…”

Section: Theme 3: Flood Risk Management At the Heart Of Urban Planninmentioning

confidence: 99%

“…The key research findings (to date) are summarised and future deliverables from current research are outlined. We reference several publications that have resulted from the UFR project (Costa et al 2019;Fenner et al 2019;Krivtsov et al 2019;Vercruysse et al 2019) where more detailed methodology and in-depth discussion are presented. We begin by outlining the overarching methods and scope.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

The blue-green path to urban flood resilience

et al. 2019

Self Cite

View full text Add to dashboard Cite

Achieving urban flood resilience at local, regional and national levels requires a transformative change in planning, design and implementation of urban water systems. Flood risk, wastewater and stormwater management should be re-envisaged and transformed to: ensure satisfactory service delivery under flood, normal and drought conditions, and enhance and extend the useful lives of ageing grey assets by supplementing them with multi-functional Blue-Green infrastructure. The aim of the multidisciplinary Urban Flood Resilience (UFR) research project, which launched in 2016 and comprises academics from nine UK institutions, is to investigate how transformative change may be possible through a whole systems approach. UFR research outputs to date are summarised under three themes. Theme 1 investigates how Blue-Green and Grey (BG + G) systems can be co-optimised to offer maximum flood risk reduction, continuous service delivery and multiple co-benefits. Theme 2 investigates the resource capacity of urban stormwater and evaluates the potential for interoperability. Theme 3 focuses on the interfaces between planners, developers, engineers and beneficiary communities and investigates citizens’ interactions with BG + G infrastructure. Focussing on retrofit and new build case studies, UFR research demonstrates how urban flood resilience may be achieved through changes in planning practice and policy to enable widespread uptake of BG + G infrastructure.

show abstract

Section: Theme 1: Engineering Design To Enhance Service Delivery (Wp1)mentioning

confidence: 99%

Section: Theme 3: Flood Risk Management At the Heart Of Urban Planninmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The blue-green path to urban flood resilience

et al. 2019

Self Cite

View full text Add to dashboard Cite

show abstract

“…Campisano et al [4] recognized that there is a shortage of high-quality datasets relating to water savings and stormwater management and identified a need for improved modelling to quantify and assess these dual benefits. In the UK, the Urban Flood Resilience research consortium has identified RWH as key multifunctional infrastructure which can decrease surface water flooding [5]. However, the majority of these systems are still focused solely on the potential for water conservation without considering other potential benefits.…”

Section: Introductionmentioning

confidence: 99%

A Critical Evaluation of the Water Supply and Stormwater Management Performance of Retrofittable Domestic Rainwater Harvesting Systems

Quinn

Melville‐Shreeve

Butler

et al. 2020

Water

View full text Add to dashboard Cite

Rainwater harvesting systems are often used as both an alternative water source and a stormwater management tool. Many studies have focused on the water-saving potential of these systems, but research into aspects that impact stormwater retention-such as demand patterns and climate change-is lacking. This paper investigates the short-term impact of demand on both water supply and stormwater management and examines future and potential performance over a longer time scale using climate change projections. To achieve this, data was collected from domestic rainwater harvesting systems in Broadhempston, UK, and used to create a yield-after-spillage model. The validation process showed that using constant demand as opposed to monitored data had little impact on accuracy. With regards to stormwater management, it was found that monitored households did not use all the non-potable available water, and that increasing their demand for this was the most effective way of increasing retention capacity based on the modelling study completed. Installing passive or active runoff control did not markedly improve performance. Passive systems reduced the outflow to greenfield runoff for the longest time, whereas active systems increased the outflow to a level substantially above roof runoff in the 30 largest events.Research measuring the performance of these systems in the UK is limited to monitored commercial buildings [7]; few household-scale empirical studies have been performed and are limited to single homes [8,9]. Studies in the USA have examined the stormwater performance of specifically designed active release systems which were emptied automatically before storm events [10]. However, these systems were large and installed on high-demand industrial facilities and not intended for domestic use. The long-term stormwater management of domestic systems designed for water supply is unclear.Other studies have conceptualised the systems' performance through modelling either at an allotment, neighbourhood or catchment scale. Xu et al. [11] modelled the ability of three types of allotment-scale RWH systems to simultaneously deliver the dual benefits discussed above in addition to river baseflow restoration. Using a historic 11 year rainfall dataset, they defined six metrics (the efficiency and frequency of water supply, baseflow and retention) to quantify system performance. These indicators were average values and did not indicate behaviour during storm events with specific return periods, which are of interest to drainage designers.More detailed models, such as the study of a sewer catchment in Palermo by Freni and Liuzzo [12] and the catchment response framework developed by Jamali et al. [13] capture the stormwater management of RWH systems on a larger scale. Due to the size of their spatial grid, the temporal resolution of these models was often low, in the order of daily [12] or hourly [13] time steps. Campisano and Modica [14] illustrated that their mass-balance approach proved unreliable for the evaluation of water supply ...

show abstract

“…Community resilience is identified as recovering from urban flood hazards quickly [41]. However, the loss data are difficult to obtain at the community scale.…”

Section: Validationmentioning

confidence: 99%

A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities

et al. 2020

View full text Add to dashboard Cite

Community resilience is a key index for describing the response of human habitat systems to hazards. Evaluating and enhancing the community resilience requires indicators, identification, and quantitative measurements, especially for urban flooding management. In this study, an advanced index framework for measuring community resilience to urban flooding is proposed, integrating the fuzzy Delphi method (FDM) and the analytic network process (ANP). Seven indicators (public facilities, spatial structure of land use, flood management organizations, rescue capability, accuracy of weather forecasts, vulnerable population, and individual capability) of community resilience are identified using the fuzzy Delphi method. The indicators are classified into four dimensions, and the weights are determined by the analytic network process. This approach is applied to three different types of communities, namely, a newly built neighborhood, an ancient college, and a flood-prone village in the city of Nanning, China, using data collected from questionnaires, interviews, and field investigations. The neighborhood (with a total averaged score of 2.13) has the largest community resilience to urban flooding, followed by the college (1.8), and finally the village (0.91). Flooding management organizations play a leading role in the urban flooding resilience of the neighborhood and college, while the vulnerable population has a great impact on the community resilience of the village. Results of the strategy analysis suggest that science and technology improvement (0.543) is more important than social-economic status improvement (0.325) and built-environment improvement (0.132) for mitigating urban hazards in Nanning. The proposed framework in this study contributes to the interdisciplinary understanding of community resilience for urban flooding and is expected to be applied to sustain urban planning and flood evacuations.A community generally refers to a group of individuals in a shared geographical area who are linked by dynamic socio-economic interactions and engage in collective actions [9,10]. Resilience is widely recognized as the ability of a system to respond to and recover from disasters and to absorb the impacts as well as cope with an event [11]. Community resilience is the capacity of a community to resist disasters and to take alleviating actions that are consistent with achieving the expected level of protection [12]. If a community can respond and recover from a hazard event and return to normal quickly, with good preparedness to reduce disaster losses rather than waiting for an event to occur [13], it is recognized as having a high resilience level. As a novel concept of disaster risk reduction (DRR), community resilience is widely used to resist disasters and maintain security in various aspects of fiscal, social, cultural, and environmental problems [14]. However, not all communities have the capability for resilience when facing hazards. The ability to absorb, recover from, and adapt to the hazard events varies, and ...

show abstract

Achieving Urban Flood Resilience in an Uncertain Future

Cited by 43 publications

References 11 publications

The blue-green path to urban flood resilience

The blue-green path to urban flood resilience

A Critical Evaluation of the Water Supply and Stormwater Management Performance of Retrofittable Domestic Rainwater Harvesting Systems

A Framework to Evaluate Community Resilience to Urban Floods: A Case Study in Three Communities

Contact Info

Product

Resources

About