Subgrid surface connectivity for storm surge modeling

被引:8
|
作者
Begmohammadi, Amirhosein [1 ]
Wirasaet, Damrongsak [1 ]
Silver, Zachariah [1 ,3 ]
Bolster, Diogo [1 ]
Kennedy, Andrew B. [1 ]
Dietrich, J. C. [2 ]
机构
[1] Univ Notre Dame, Dept Civil & Environm Engn & Earth Sci, Environm Fluid Dynam, Notre Dame, IN 46556 USA
[2] North Carolina State Univ, Dept Civil Construct & Environm Engn, Raleigh, NC 27695 USA
[3] Western Connecticut State Univ, Dept Phys Astron & Meteorol, Danbury, CT 06810 USA
基金
美国国家科学基金会;
关键词
Subgrid model; Storm surge; Surface connectivity; Numerical method; Mathematical modelling; SHALLOW; POROSITY; ROUGHNESS; EQUATIONS; COASTAL;
D O I
10.1016/j.advwatres.2021.103939
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
Subgrid modeling to account for unresolved topography within the context of shallow water equations relies on the use of coarse grids for computational efficiency. However, excessively coarse grids can lead to artificial cross flows between hydrologically disconnected areas separated by physical barriers smaller than the grid size. An approach based on introducing cell and edge clones, consisting of connected groups of pixels in each cell, is able to systematically remove such artificial cross flows. Such an approach considers that the subgrid barriers permanently divide flow among clones and effectively restrict flow to a predetermined path. In this work, a simple algorithm, along with the use of an overtopping formula, is proposed to extend the clone approach to a scenario in which clones are allowed to be further split and merged as needed, depending on the surface elevation during a given runtime. The algorithm is intended for accommodating the possibility of the subgrid barriers being inundated and no-longer dividing the flow during an extreme event. The performance of the proposed algorithm is demonstrated through a series of idealized and more realistic test cases, showing considerable improvements over existing methodologies.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Discontinuous Galerkin methods for modeling Hurricane storm surge
    Dawson, Clint
    Kubatko, Ethan J.
    Westerink, Joannes J.
    Trahan, Corey
    Mirabito, Christopher
    Michoski, Craig
    Panda, Nishant
    ADVANCES IN WATER RESOURCES, 2011, 34 (09) : 1165 - 1176
  • [22] Storm surge
    Lizza, R
    NEW REPUBLIC, 2005, 233 (12) : 19 - 20
  • [23] Two parametric tropical cyclone models for storm surge modeling
    WANG Zhili State Key Laboratory of HydrologyWater Resources and Hydraulic EngineeringNanjing Hydraulic Research InstituteNanjing China
    水道港口, 2010, 31 (05) : 437 - 437
  • [24] Storm surge modeling in the Caspian Sea using an unstructured grid
    Pavlova, A., V
    Arkhipkin, V. S.
    Myslenkov, S. A.
    RUSSIAN JOURNAL OF EARTH SCIENCES, 2020, 20 (01):
  • [25] Derivation of Parametric Tropical Cyclone Models for Storm Surge Modeling
    王志力
    陆永军
    耿艳芬
    China Ocean Engineering, 2010, 24 (02) : 245 - 254
  • [26] Dynamic issues in the SE South America storm surge modeling
    Paula Etala
    Natural Hazards, 2009, 51 : 79 - 95
  • [27] Dynamic issues in the SE South America storm surge modeling
    Etala, Paula
    NATURAL HAZARDS, 2009, 51 (01) : 79 - 95
  • [28] Incorporation of sea level rise in storm surge surrogate modeling
    Kyprioti, Aikaterini P.
    Taflanidis, Alexandros A.
    Nadal-Caraballo, Norberto C.
    Campbell, Madison O.
    NATURAL HAZARDS, 2021, 105 (01) : 531 - 563
  • [29] ARC STORMSURGE: INTEGRATING HURRICANE STORM SURGE MODELING AND GIS
    Ferreira, Celso M.
    Olivera, Francisco
    Irish, Jennifer L.
    JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION, 2014, 50 (01): : 219 - 233
  • [30] Derivation of Parametric Tropical Cyclone Models for Storm Surge Modeling
    Wang Zhi-li
    Lu Yong-jun
    Geng Yan-fen
    CHINA OCEAN ENGINEERING, 2010, 24 (02) : 245 - 254