DOI: 10.5194/hess-22-2589-2018
论文题名: A new method; with application; for analysis of the impacts on flood risk of widely distributed enhanced hillslope storage
作者: Metcalfe P. ; Beven K. ; Hankin B. ; Lamb R.
刊名: Hydrology and Earth System Sciences
ISSN: 1027-5606
出版年: 2018
卷: 22, 期: 4 起始页码: 2589
结束页码: 2605
语种: 英语
Scopus关键词: Binary alloys
; Catchments
; Complex networks
; Digital storage
; Flood control
; Flow visualization
; Potassium alloys
; Risk assessment
; Runoff
; Storms
; Catchment modeling
; Distributed networks
; Experimental evidence
; Extreme flood events
; Flood mitigation strategies
; Reduced complexity
; Sequence of events
; Uncertainty estimation
; Floods
; agricultural catchment
; catchment
; connectivity
; extreme event
; flood control
; flood wave
; hillslope
; hydrodynamics
; numerical method
; risk assessment
; runoff
; strategic approach
; Cumbria
; England
; United Kingdom
英文摘要: Enhanced hillslope storage is utilised in natural flood management in order to retain overland storm run-off and to reduce connectivity between fast surface flow pathways and the channel. Examples include excavated ponds, deepened or bunded accumulation areas, and gullies and ephemeral channels blocked with wooden barriers or debris dams. The performance of large, distributed networks of such measures is poorly understood. Extensive schemes can potentially retain large quantities of run-off, but there are indications that much of their effectiveness can be attributed to desynchronisation of sub-catchment flood waves. Inappropriately sited measures may therefore increase, rather than mitigate, flood risk. Fully distributed hydrodynamic models have been applied in limited studies but introduce significant computational complexity. The longer run times of such models also restrict their use for uncertainty estimation or evaluation of the many potential configurations and storm sequences that may influence the timings and magnitudes of flood waves. p Here a simplified overland flow-routing module and semi-distributed representation of enhanced hillslope storage is developed. It is applied to the headwaters of a large rural catchment in Cumbria, UK, where the use of an extensive network of storage features is proposed as a flood mitigation strategy. The models were run within a Monte Carlo framework against data for a 2-month period of extreme flood events that caused significant damage in areas downstream. Acceptable realisations and likelihood weightings were identified using the GLUE uncertainty estimation framework. Behavioural realisations were rerun against the catchment model modified with the addition of the hillslope storage. Three different drainage rate parameters were applied across the network of hillslope storage. The study demonstrates that schemes comprising widely distributed hillslope storage can be modelled effectively within such a reduced complexity framework. It shows the importance of drainage rates from storage features while operating through a sequence of events. We discuss limitations in the simplified representation of overland flow-routing and representation and storage, and how this could be improved using experimental evidence. We suggest ways in which features could be grouped more strategically and thus improve the performance of such schemes. © 2018 Author(s). Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/163324
Appears in Collections: 气候变化与战略
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作者单位: Metcalfe, P., Lancaster Environment Centre, Lancaster University, Lancaster, LA14YQ, United Kingdom; Beven, K., Lancaster Environment Centre, Lancaster University, Lancaster, LA14YQ, United Kingdom, Department of Earth Sciences, Uppsala University, Uppsala, 75263, Sweden; Hankin, B., Lancaster Environment Centre, Lancaster University, Lancaster, LA14YQ, United Kingdom, JBA Consulting, Sankey Street, Warrington, Cheshire, WA1 1NN, United Kingdom; Lamb, R., Lancaster Environment Centre, Lancaster University, Lancaster, LA14YQ, United Kingdom, JBA Trust, South Barn, Broughton Hall, Skipton, North Yorkshire, BD23 3AE, United Kingdom
Recommended Citation:
Metcalfe P.,Beven K.,Hankin B.,et al. A new method; with application; for analysis of the impacts on flood risk of widely distributed enhanced hillslope storage[J]. Hydrology and Earth System Sciences,2018-01-01,22(4)