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

Autor: Haijia Zhang, Jiahong Liu, Chao Mei, Lirong Dong, Tianxu Song
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Journal of Hydroinformatics, Vol 26, Iss 5, Pp 1014-1041 (2024)
Druh dokumentu: article
ISSN: 1464-7141
1465-1734
DOI: 10.2166/hydro.2024.248
Popis: 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. HIGHLIGHTS A coupled urban hydrology and hydrodynamics model was constructed and adapted to a low-power ARM processor.; Numerical simulation studies on the evolution of waterlogging in Macao were carried out under various scenarios.; Risk distribution maps for the inner harbor area under different rainfall return periods were prepared, and flood-prone points were noted.; Predicting and projecting the direct loss of waterlogging in the inner harbor area under different rainfall scenarios.;
Databáze: Directory of Open Access Journals
Externí odkaz: