Volume 10 Issue 4
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Article Navigation >  Water Science and Engineering  > 2017  >  10(4): 267-274
Jing-ming Hou, Run Wang, Hai-xiao Jing, Xia Zhang, Qiu-hua Liang, Yan-yan Di. 2017: An efficient dynamic uniform Cartesian grid system for inundation modeling. Water Science and Engineering, 10(4): 267-274. doi: 10.1016/j.wse.2017.12.004
Citation: Jing-ming Hou, Run Wang, Hai-xiao Jing, Xia Zhang, Qiu-hua Liang, Yan-yan Di. 2017: An efficient dynamic uniform Cartesian grid system for inundation modeling. Water Science and Engineering, 10(4): 267-274. doi: 10.1016/j.wse.2017.12.004
shu

An efficient dynamic uniform Cartesian grid system for inundation modeling

doi: 10.1016/j.wse.2017.12.004

  • a Institute of Water Resources and Hydro-Electric Engineering, Xi'an University of Technology, Xi’an 710048, China

  • b School of Civil Engineering and Geosciences, Newcastle University, Newcastle upon Tyne NE1 7RU, UK

  • c Hydrology Bureau, Yellow River Conservancy Commission, Zhengzhou 450004, China

Funds:  This work was supported by the National Natural Science Foundation of China (Grant No. 19672016), the National Key R&D Program of China (Grant No. 2016YFC0402704), the State Key Program of the National Natural Science Foundation of China (Grant No. 41330858), and the UK Natural Environment Research Council (NERC) (Grant No. NE/K008781/1).
More Information
  • Corresponding author: jinghx@xaut.edu.cn (Hai-xiao Jing)
  • Received Date: 2017-04-23
  • Rev Recd Date: 2017-09-30
    Abstract
  • A dynamic uniform Cartesian grid system was developed in order to reduce the computational time in inundation simulation using a Godunov-type finite volume scheme. The reduction is achieved by excluding redundant dry cells, which cannot be effectively avoided with a conventional Cartesian uniform grid system, as the wet area is unknown before computation. The new grid system expands dynamically with wetting, through addition of new cells according to moving wet-dry fronts. The new grid system is straightforward in implementation. Its application in a field-scale flood simulation shows that the new grid system is able to produce the same results as the conventional grid, but the computational efficiency is fairly improved.

     

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