Zobrazeno 1 - 10
of 646
pro vyhledávání: '"Flood simulation"'
Publikováno v:
Engineering Applications of Computational Fluid Mechanics, Vol 18, Iss 1 (2024)
Among the various natural disasters, the death caused by flash flood is the highest. Recently, the combination of deep learning methods and hydrodynamic models has shown superior performance in the simulation of urban and plain areas. However, when d
Externí odkaz:
https://doaj.org/article/7316914142474295b7415abe1635d02d
Autor:
Sanjay Kumar Dwivedi, Praveen Kumar Thakur, Pankaj Ramji Dhote, Andrew Kruczkiewicz, Mayank Upadhyay, Antony Joh Moothedan, Mps Bisht, Raghavendra Pratap Singh
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The Himalayan foothills are highly prone to rainfall induced flash floods. This research focuses on the August 19–20, 2022 flash flood event in Song watershed of Doon valley, Uttarakhand caused significant damages to buildings and a road bridge. Th
Externí odkaz:
https://doaj.org/article/79dfc48acd7a4c21854474d712983d6e
Autor:
Faraz Estelaji, Rahim Zahedi, Arash Gitifar, Alireza Naseri, Mohammad Hossein Yari, Bita Rouhi Asl, Bita Abedi
Publikováno v:
Heliyon, Vol 10, Iss 20, Pp e39463- (2024)
Floods pose significant threats to urban areas, resulting in substantial human and financial losses annually. The vulnerability of key urban centers to these risks diminishes their efficiency, leading to public dissatisfaction and service deficiencie
Externí odkaz:
https://doaj.org/article/1467c21910ee43ab80ed5416c70a8e4b
Publikováno v:
Journal of Hydrology: Regional Studies, Vol 55, Iss , Pp 101937- (2024)
Study region: Norway Study focus: Numerous geological traces provide evidence for the existence, size and catastrophic drainage of the Early Holocene glacial lake Nedre Glomsjø in southern Norway. We present, for the first time, a hydraulic reconstr
Externí odkaz:
https://doaj.org/article/e5758f29c49e41e2a67e14753e46a5dd
Publikováno v:
Water Science and Engineering, Vol 17, Iss 2, Pp 108-117 (2024)
Suzhou City, located in the Yangtze River Delta in China, is prone to flooding due to a complex combination of natural factors, including its monsoon climate, low elevation, and tidally influenced position, as well as intensive human activities. The
Externí odkaz:
https://doaj.org/article/01e80229d816460997b3d11e55de0e88
Autor:
Sawitree Rojpratak, Seree Supharatid
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 12, Pp 4782-4801 (2023)
Extreme rainfall and flooding are common during the summer monsoon season in Thailand. In this study, we utilized Robust Empirical Quantile Mapping (RQUANT) to correct the bias in precipitation, and total runoff data obtained from the latest Couple M
Externí odkaz:
https://doaj.org/article/8f42c449266b4995b02ab8f2782aed74
Publikováno v:
Journal of Water and Climate Change, Vol 14, Iss 10, Pp 3496-3516 (2023)
Flood disasters occur frequently in semi-arid and sub-humid mountain watersheds, and their formation mechanism is affected by many factors, resulting in low simulation accuracy. The main purpose of this study is to evaluate the impact of adding actua
Externí odkaz:
https://doaj.org/article/5272039b60ca4b5a9139f2fe56f32fc5
Autor:
Hengkang Zhu, Yangbo Chen
Publikováno v:
Remote Sensing, Vol 16, Iss 16, p 3105 (2024)
Watershed hydrological modeling methods are currently the predominant approach for flood forecasting. Digital elevation model (DEM) data, a critical input variable, significantly influence the accuracy of flood simulations, primarily due to their res
Externí odkaz:
https://doaj.org/article/ba956b50412a4c2fb3ad39f6e3cd7e90
Publikováno v:
Frontiers in Earth Science, Vol 11 (2024)
Against the backdrop of global climate warming, the issue of flash flood disasters in small watersheds triggered by heavy rainfall is gradually becoming more prominent. Selecting an appropriate hydrological model is crucial for flash flood disaster d
Externí odkaz:
https://doaj.org/article/588be3358e2e4e91a25f3481964c2203
Publikováno v:
Drones, Vol 8, Iss 5, p 178 (2024)
This research investigates flood susceptibility in the mid- and downstream areas of Taiwan’s Wu River, historically prone to flooding in central Taiwan. The study integrates the Hydrologic Engineering Center—Hydrologic Modeling System (HEC-HMS) f
Externí odkaz:
https://doaj.org/article/5965933cb29b46fd867306a8b5d02574