Your search found 2 records
1 Webber, J. L.; Balbi, M.; Lallemant, D.; Gibson, M. J.; Fu, G.; Butler, D.; Hamel, P. 2021. Towards regional scale stormwater flood management strategies through rapid preliminary intervention screening. Water, 13(15):2027. (Special issue: The Scale Effects of Green Infrastructures on Urban Stormwater Runoff) [doi: https://doi.org/10.3390/w13152027]
Flooding ; Stormwater management ; Runoff ; Modelling ; Strategies ; Climate change ; Risk management ; Regional planning ; Infrastructure ; Land use ; Rainwater ; Landscape conservation ; Ecosystem services ; Stakeholders ; Case studies / USA / San Francisco Bay
(Location: IWMI HQ Call no: e-copy only Record No: H050561)
https://www.mdpi.com/2073-4441/13/15/2027/pdf
https://vlibrary.iwmi.org/pdf/H050561.pdf
(1.50 MB) (1.50 MB)
This paper presents the advantages and opportunities for rapid preliminary intervention screening to enhance inclusion of green infrastructures in regional scale stormwater management. Stormwater flooding is widely recognised as a significant and worsening natural hazard across the globe; however, current management approaches aimed at the site scale do not adequately explore opportunities for integrated management at the regional scale at which decisions are made. This research addresses this gap through supporting the development of stormwater management strategies, including green infrastructure, at a regional scale. This is achieved through upscaling a modelling approach using a spatially explicit inundation model (CADDIES) coupled with an economic model of inundation loss (OpenProFIA) to support widescale evaluation of green infrastructure during the informative early-stage development of stormwater management strategies. This novel regional scale approach is demonstrated across a case study of the San Francisco Bay Area, spanning 8300 sq km. The main opportunity from this regional approach is to identify spatial and temporal trends which are used to inform regional planning and direct future detailed modelling efforts. The study highlights several limitations of the new method, suggesting it should be applied as part of a suite of landscape management approaches; however, highlights that it has the potential to complement existing stormwater management toolkits.

2 Lallemant, D.; Hamel, P.; Balbi, M.; Lim, T. N.; Schmitt, R.; Win, S. 2021. Nature-based solutions for flood risk reduction: a probabilistic modeling framework. One Earth, 4(9):1310-1321. [doi: https://doi.org/10.1016/j.oneear.2021.08.010]
Flooding ; Disaster risk reduction ; Modelling ; Frameworks ; Risk analysis ; Risk management ; Infrastructure ; Ecosystem services ; Vulnerability ; Mitigation ; Forest protection ; Deforestation ; Hydraulic models ; Case studies / Myanmar / Chindwin River Basin
(Location: IWMI HQ Call no: e-copy only Record No: H050650)
https://www.sciencedirect.com/science/article/pii/S2590332221004681/pdfft?md5=20992864627eef19cf897310fe5cb52c&pid=1-s2.0-S2590332221004681-main.pdf
https://vlibrary.iwmi.org/pdf/H050650.pdf
(3.37 MB) (3.37 MB)
Undervaluing the protections natural ecosystems provide against flooding has detrimental impacts for society, particularly given the increase in flood hazard in the context of climate and land-use changes. Against this backdrop, we develop a framework to quantify these natural protections, even in settings with limited available data. By applying this framework to the Chindwin River basin, we find that forest cover has a significant impact on flood risk. Further, we find that nature-based solutions are most effective against small storms, but these are the largest contributors to overall flood impact because they are so frequent. The current focus on large flood events means that these important benefits are often obscured. Identifying and quantifying the benefits of natural ecosystems using the same metrics as those used to evaluate ‘‘gray’’ infrastructure can help mainstream nature-based solutions within planning practice, leading to more resilient and sustainable societies.

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