Zobrazeno 1 - 10
of 645
pro vyhledávání: '"FLOOD FORECAST"'
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
An urban hydrological model (UHM) forced by radar-observed rainfalls was developed for producing rainstorm-related urban inundation maps for obtaining flash flood forecasts. The parameter sets of the land use and land cover (LULC) and urban drainage
Externí odkaz:
https://doaj.org/article/a7d05907fd274331815c2440619436dc
Publikováno v:
Natural Hazards Research, Vol 4, Iss 2, Pp 194-220 (2024)
The global community is continuously working to minimize the impact of disasters through various actions, including earth surveying. For example, flood-prone areas must be identified appropriately, predicted, understood, and socialized. In that case,
Externí odkaz:
https://doaj.org/article/a05e7e8ed1d141a29b2a49279c7978b3
Publikováno v:
Renmin Zhujiang, Pp 1-11 (2024)
As an important non-engineering measure for flood control management, the static flood risk map has been widely applied in flood prevention efforts. With the rapid development of computer technology and information platforms, real-time, dynamic analy
Externí odkaz:
https://doaj.org/article/31bef411c9d444d7bb1bf67bee7f5df5
Autor:
Coelho, Gustavo de A. a, ⁎, Ferreira, Celso M. b, Kinter, James L., III c, Cassalho, Felício d
Publikováno v:
In Journal of Hydrology April 2025 650
Publikováno v:
In International Journal of Disaster Risk Reduction 1 October 2024 112
Akademický článek
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Akademický článek
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Publikováno v:
Hydrology Research, Vol 52, Iss 6, Pp 1239-1260 (2021)
Reducing errors in streamflow simulations is one of the main issues for a reliable forecast system aimed to manage floods and water resources. Data assimilation is a powerful tool to reduce model errors. Unfortunately, its use in operational chains w
Externí odkaz:
https://doaj.org/article/74a8ca0f0cab4750a440899776f4dfd3
Publikováno v:
Hydrology Research, Vol 52, Iss 6, Pp 1436-1454 (2021)
The conceptual hydrologic model has been widely used for flood forecasting, while long short-term memory (LSTM) neural network has been demonstrated a powerful ability to tackle time-series predictions. This study proposed a novel hybrid model by com
Externí odkaz:
https://doaj.org/article/14b194efae674491a95204e87b5a1154
Publikováno v:
Renmin Zhujiang, Vol 44 (2023)
To solve the low simulation accuracy of flood forecast models caused by limited historical flood data in river basins,this paper employs the K-means clustering method to cluster typical floods by taking reservoir A as the research object.Meanwhile,it
Externí odkaz:
https://doaj.org/article/9df30b2a5ea74358907a1e3e6f0f7816