Grid edge classification method to enhance levee resolution in dual-grid flood inundation models
Grid edge classification method to enhance levee resolution in dual-grid flood inundation models
复制标题
双网格洪水淹没模型中增强堤坝分辨率的网格边缘分类方法
DOI:
10.1016/j.advwatres.2022.104287
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发表时间:
2022
影响因子:
4.7
通讯作者:
Sanders, Brett F.
中科院分区:
文献类型:
--
作者:
Kahl, Daniel T.;Schubert, Jochen E.;Jong-Levinger, Ariane;Sanders, Brett F.
Dual-grid models address the computational bottlenecks of large-scale (> 1 0 3 km 2) urban flood modeling with solution updates on a coarse grid that are informed by topographic data on a fine grid. However, dual-grid models may poorly resolve levees, leading to loss of accuracy. Here we present a grid edge classification method whereby specific edges of the coarse grid are flagged to gather nearby topographic data from the fine grid and create a contiguous physical barrier. The method relies on levee location data in a polyline format, and does not require levee height data since that information is stored on the fine grid. Using a 6804 km 2 model of the Los Angeles Metropolitan Region with 3 m topographic data and 987 km of levees, the proposed method is implemented and evaluated. Simulations using coarse grids of 15, 30 and 60 m capture flood extent consistent with fine-grid models based on a critical success index (CSI) of 90, 87 and 82%, respectively. Edge classification improves CSI up to 7 percentage points over a model with unclassified coarse grid edges, and reduces the false alarm ratio up to 10 percentage points. Differences in model performance across the study area are noted, including lower accuracy on urbanized alluvial fans. With compute costs that scale with the coarse grid, dual-grid models can efficiently realize more accurate large-scale models of urban flood hazards.
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影响因子:
2.3
作者:
Alireza Shamkhalchian;Gustavo A. M. de Almeida
通讯作者:
Gustavo A. M. de Almeida
影响因子:
4.7
作者:
Zhi Li;B. Hodges
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B. Hodges
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影响因子:
6.3
作者:
F. Pappenberger;E. Dutra;F. Wetterhall;H. Cloke
通讯作者:
F. Pappenberger;E. Dutra;F. Wetterhall;H. Cloke
影响因子:
3.7
作者:
Luke A
通讯作者:
Luke A