当前位置: X-MOL 学术Environ. Model. Softw. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Variance based sensitivity analysis of 1D and 2D hydraulic models: An experimental urban flood case
Environmental Modelling & Software ( IF 4.9 ) Pub Date : 2018-08-09 , DOI: 10.1016/j.envsoft.2018.08.008
S. Chen , P.-A. Garambois , P. Finaud-Guyot , G. Dellinger , R. Mosé , A. Terfous , A. Ghenaim

This paper explores spatial sensitivities of 1D and 2D shallow water (SW) models of branched urban flood flows, based on an experimental data-set and a variance decomposition method for various combination of uncertainty sources. General sensitivity patterns of SW model for subcritical flows show that: simulated water height variance is explained upstream by inflow discharge and roughness whereas downstream it is fully explained by downstream water height, influence of lateral inflows propagates in both directions. High sensitivities to roughness can be local in space thus identifying the strongest hydraulic controls for orienting calibration efforts is needed. 2D sensitivities show: the filtering effect of branched network topography on inflow, the zone of influence of boundary conditions, the role of large streets as global flow pattern separators, the difference in roughness sensitivity patterns with 1D. This sensitivity analysis of SW models could be a base for studying flow path and uncertainty propagation.



中文翻译:

一维和二维水力模型基于方差的敏感性分析:城市实验性洪水案例

本文基于实验数据集和各种不确定性源组合的方差分解方法,探索了分支城市洪水的一维和二维浅水(SW)模型的空间敏感性。SW模型对亚临界流的一般敏感性模式表明:模拟水位的高低由上游的入水流量和糙度来解释,而下游则由下游的水高完全说明,侧向入水的影响在两个方向上传播。对粗糙度的高敏感性可能会出现在空间中,因此需要确定用于定向校准工作的最强大的液压控制装置。二维灵敏度显示:分支网络拓扑对流入的过滤效果,边界条件的影响区域,大街道作为整体流型分离器的作用,粗糙度敏感性型式与1D的差异。SW模型的这种敏感性分析可以作为研究流路和不确定性传播的基础。

更新日期:2018-08-09
down
wechat
bug