River basin modelling for flood risk mitigation edited by Donald W. Knight and Asaad Y. Shamseldin. 2005. Taylor & Francis/Balkema: The Netherlands, 616. Hardback (ISBN: 0-415-38344-7)

2009 ◽  
Vol 25 (9) ◽  
pp. 1204-1204
Author(s):  
Ezio Todini
2010 ◽  
Vol 8 (3-4) ◽  
pp. 269-280 ◽  
Author(s):  
I. Popescu ◽  
A. Jonoski ◽  
S. J. Van Andel ◽  
E. Onyari ◽  
V. G. Moya Quiroga

Resources ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 24
Author(s):  
Sandra Costa ◽  
Rik Peters ◽  
Ricardo Martins ◽  
Luuk Postmes ◽  
Jan Jacob Keizer ◽  
...  

Urbanization leads to changes in the surface cover that alter the hydrological cycle of cities, particularly by increasing the impervious area and, thereby, reducing the interception, storage and infiltration capacity of rainwater. Nature-based solutions (NBS) can contribute to flood risk mitigation in urbanized areas by restoring hydrological functions. However, the effects of NBS on flood risk mitigation are complex and can differ substantially with the type of the NBS. Therefore, the effectiveness of NBS at the urban catchment scale is still subject to much debate, especially at the scale of urban catchments. In this study, the effects of different NBS on urban flood mitigation were evaluated for the city of Eindhoven in The Netherlands, as it has a history of urban flood events. To this end, various NBS scenarios were defined by municipal stakeholders and their impacts modelled with the numerical model Infoworks ICM. This was done for design storms with short, medium and long return periods (5, 10 and 100 years). Overall, the simulated NBS were effective in flood risk mitigation, reducing the flooded area as well as flood depth. The effectiveness of the individual NBS scenarios, however, depended strongly on the location and extension of the NBS, as well as on storm intensity. The effectiveness tended to increase with the increase in NBS surface area, while it tended to decrease with increasing storm intensity and, hence, return period. The NBS solution increasing street water storage was revealed to be more effective than those involving green car parks and green roofs. This study showed that numerical flooding models can be useful tools to assess the effects of NBS to reduce flood extent, water depth and/or velocity, providing insights that can support city planners to design and compare alternative strategies and plans for urban flood risk mitigation.


2021 ◽  
Author(s):  
Amrie Singh ◽  
David Dawson ◽  
Mark Trigg ◽  
Nigel Wright

AbstractFlooding is an important global hazard that causes an average annual loss of over 40 billion USD and affects a population of over 250 million globally. The complex process of flooding depends on spatial and temporal factors such as weather patterns, topography, and geomorphology. In urban environments where the landscape is ever-changing, spatial factors such as ground cover, green spaces, and drainage systems have a significant impact. Understanding source areas that have a major impact on flooding is, therefore, crucial for strategic flood risk management (FRM). Although flood source area (FSA) identification is not a new concept, its application is only recently being applied in flood modelling research. Continuous improvements in the technology and methodology related to flood models have enabled this research to move beyond traditional methods, such that, in recent years, modelling projects have looked beyond affected areas and recognised the need to address flooding at its source, to study its influence on overall flood risk. These modelling approaches are emerging in the field of FRM and propose innovative methodologies for flood risk mitigation and design implementation; however, they are relatively under-examined. In this paper, we present a review of the modelling approaches currently used to identify FSAs, i.e. unit flood response (UFR) and adaptation-driven approaches (ADA). We highlight their potential for use in adaptive decision making and outline the key challenges for the adoption of such approaches in FRM practises.


2021 ◽  
Vol 292 ◽  
pp. 112743
Author(s):  
Elisabetta Strazzera ◽  
Rossella Atzori ◽  
Daniela Meleddu ◽  
Vania Statzu

2016 ◽  
Vol 31 (4) ◽  
pp. 935-948 ◽  
Author(s):  
Yenan Wu ◽  
Ping-an Zhong ◽  
Bin Xu ◽  
Feilin Zhu ◽  
Biao Ma

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