Advancements in enhancing flood evolution and urban inundation predictions: A study of local time stepping algorithm and GPU-accelerated hydrodynamic model-Reference-Cited by-同舟云学术

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Advancements in enhancing flood evolution and urban inundation predictions: A study of local time stepping algorithm and GPU-accelerated hydrodynamic model

Published:2024-09 Issue: Volume:641 Page:131744
ISSN:0022-1694
Container-title:Journal of Hydrology
language:en
Short-container-title:Journal of Hydrology

Author:

Wang Junhui,Hou Jingming,Li Shaowu,Sun Jixin,Jing Jing,Wang Jieyu

Funder

Shaanxi Province Natural Science Foundation

Key Science and Technology Program of Shaanxi Province

State Key Laboratory of Architectural Science and Technology in West China

National Aerospace Science Foundation of China

National Natural Science Foundation of China

Social Science Foundation of Shaanxi Province

Publisher

Elsevier BV

Reference18 articles.

1. High efficient and accurate simulation of pollutant transport in torrential flow based on adaptive grid method;Cao;J. Hydraul. Eng.,2019

2. Statistical modeling of extreme precipitation with TRMM data;Demirdjian;J. Appl. Meteorol. Climatol.,2018

3. Machine learning based prediction of urban flood susceptibility from selected rivers in a tropical catchment area;Ekwueme;Civil Eng. J.,2022

4. Comparative analysis of meteorological drought based on the SPI and SPEI indices;Faye;HighTech Innov. J.,2022

5. Development and evaluation of a framework for global flood hazard mapping;Francesco;Adv. Water Resour.,2016

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