Construction of hydrological and hydrodynamic models based on ARM architecture processor – A case study of inner Harbor area of Macao Peninsula

Green computing is the current research hotspot; adapting the professional computing model to the low-power ARM architecture processor is a research trend. This article constructs a hydrological–hydrodynamic model by choosing SWMM and TELEMAC-2D as submodules, taking stormwater grates and inspection...

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Bibliographic Details
Published in:Journal of hydroinformatics 2024-05, Vol.26 (5), p.1014-1041
Main Authors: Zhang, Haijia, Liu, Jiahong, Mei, Chao, Dong, Lirong, Song, Tianxu
Format: Article
Language:English
Subjects:
Accuracy
arm architecture processor
City centres
Climate change
Cloud computing
Computation
Computer centers
Construction
Drainage
Economic impact
Embedded systems
Energy consumption
flood losses
Floods
Flow velocity
green computing
Harbors
Hurricanes
Hydrodynamics
hydrological and hydrodynamic modelling
Hydrology
Inspection
Mathematical models
Maximum flow
Microprocessors
Rain
Rainfall
Research hot spots
Runoff
Simulation
Storms
Stormwater
Stormwater management
Typhoons
Urban areas
urban flooding
Water flow
Water wells
Waterlogging
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Summary:Green computing is the current research hotspot; adapting the professional computing model to the low-power ARM architecture processor is a research trend. This article constructs a hydrological–hydrodynamic model by choosing SWMM and TELEMAC-2D as submodules, taking stormwater grates and inspection wells as water flow exchange nodes. The container technology was selected to couple the model on the ARM architecture processor, and the adapted coupling model is named the ARM hydrological–hydrodynamic model (AHM). To verify the reasonableness and accuracy of the model, taking the inner harbor of Macao Peninsula as the study area, a numerical simulation study on the evolution of waterlogging was carried out in various scenarios. The analysis showed that the maximum flow velocity was concentrated in the streets with low topography in the city center, and the areas of standing water were distributed in a point-like manner. Risk distribution maps during different storm recurrence periods were also constructed. Finally, the direct economic losses caused by Typhoon Mangkhut were calculated based on the model results and compared with the statistical values, with an error of only 2.3%, and the direct flooding losses in the inner harbor area under different rainfall scenarios were derived accordingly.
ISSN:1464-7141
1465-1734
DOI:10.2166/hydro.2024.248