Title
Hyper-resolution 1D-2D urban flood modelling using LiDAR data and hybrid parallelization.
Abstract
Coupled 1D-2D modelling is a widely used approach to predict water movement in complicated surface and subsurface drainage systems in urban or peri-urban areas. In this study, a hybrid parallel code, H12, is developed for 1D-2D coupled urban flood modelling. Hybrid-1D-2D, or H12, enables street-resolving hyper-resolution simulation over a large area by combining Open Multi-Processing (OpenMP) and Message Passing Interface (MPI) parallelization. Variable grid sizing is adopted for detailed geometric representation of urban surfaces as well as efficient computation. To assess the capability of H12, simulation experiments were carried for the Johnson Creek Catchment (∼40 km2) in Arlington, Texas. The LiDAR-derived digital elevation model (DEM) and detailed land cover map at 1-m resolution are used to represent the terrain and urban features in flood modelling. Hybrid parallelization achieves up to a 79-fold reduction in simulation time compared to the serial run and is more efficient than either OpenMP or MPI alone especially in hyper-resolution simulations.
Year
DOI
Venue
2018
10.1016/j.envsoft.2018.02.008
Environmental Modelling & Software
Keywords
Field
DocType
Coupled 1D-2D modelling,Hybrid parallelization,Hyper-resolution,LiDAR
Computer science,Parallel computing,Terrain,Digital elevation model,Lidar,Message Passing Interface,Sizing,Land cover,Grid,Flood myth
Journal
Volume
Issue
ISSN
103
C
1364-8152
Citations 
PageRank 
References 
1
0.37
8
Authors
5
Name
Order
Citations
PageRank
Seong Jin Noh131.16
Jun-Hak Lee2111.27
Seungsoo Lee310.37
Kenji Kawaike410.37
Dong-Jun Seo562.07