Impact of detention dams on the probability distribution of floods

被引:19
|
作者
Manfreda, Salvatore [1 ]
Miglino, Domenico [1 ]
Albertini, Cinzia [1 ,2 ]
机构
[1] Univ Napoli Federico II, Dipartimento Ingn Civile Edile & Ambientale, I-80125 Naples, Italy
[2] Univ Bari Aldo Moro, Dipartimento Sci Agro Ambientali & Terr, I-70126 Bari, Italy
关键词
DYNAMICS;
D O I
10.5194/hess-25-4231-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
Detention dams are one of the most effective practices for flood mitigation. Therefore, the impact of these structures on the basin hydrological response is critical for flood management and the design of flood control structures. With the aim of providing a mathematical framework to interpret the effect of flow control systems on river basin dynamics, the functional relationship between inflows and outflows is investigated and derived in a closed form. This allowed the definition of a theoretically derived probability distribution of the peak outflows from in-line detention basins. The model has been derived assuming a rectangular hydro-graph shape with a fixed duration and a random flood peak. In the present study, the undisturbed flood peaks are assumed to be Gumbel distributed, but the proposed mathematical formulation can be extended to any other flood-peak probability distribution. A sensitivity analysis of parameters highlighted the influence of detention basin capacity and rainfall event duration on flood mitigation on the probability distribution of the peak outflows. The mathematical framework has been tested using for comparison a Monte Carlo simulation where most of the simplified assumptions used to describe the dam behaviours are removed. This allowed demonstrating that the proposed formulation is reliable for small river basins characterized by an impulsive response. The new approach for the quantification of flood peaks in river basins characterized by the presence of artificial detention basins can be used to improve existing flood mitigation practices and support the design of flood control systems and flood risk analyses.
引用
收藏
页码:4231 / 4242
页数:12
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