Zobrazeno 1 - 10
of 7 484
pro vyhledávání: '"Flash-flood"'
Autor:
András Dobai, András Hegedűs, János Vágó, Károly Zoltán Kovács, Anna Seres, Péter Pecsmány, Endre Dobos
Publikováno v:
Hungarian Geographical Bulletin, Vol 73, Iss 4, Pp 379-394 (2024)
The extreme precipitation resulting from climate change has been causing increasingly serious damage in populated areas over the past 10–15 years. The torrents of flash floods cause significant financial damage to both the natural environment and m
Externí odkaz:
https://doaj.org/article/fd8a0d0612c2405999e42b74c8e2a884
Publikováno v:
Renmin Zhujiang, Vol 45, Pp 29-37 (2024)
The production and sink mechanism in karst areas is complicated, and the accuracy of flood forecasting is difficult to ensure. In order to test the simulation effect of the distributed hydrological model (HEC-HMS) on the flash flood runoff process in
Externí odkaz:
https://doaj.org/article/9c3f7d17c5a14747897c3684d5fc2db8
Publikováno v:
Results in Earth Sciences, Vol 2, Iss , Pp 100032- (2024)
The development of a detailed strategy to mitigate the negative consequences of any natural calamities depends on accurately identifying sensitive zones where natural hazards frequently happen. In the present investigations, three widely utilized pro
Externí odkaz:
https://doaj.org/article/8625b76391e34c5fba5695969237cd8b
Autor:
MD. HASAN IMAM, URMEE AHSAN, FARHANA HOQUE, SABUJ ROY, NAZNINE KHANUM, MUHAMMAD MOSHIUR RAHMAN, MAZHARUL AZIZ, MD. MIZANUR RAHMAN, TANVIR SIDDIKE MOIN, MD. MAFIZUR RAHMAN
Publikováno v:
Journal of Agrometeorology, Vol 26, Iss 4 (2024)
This study assesses and maps the vulnerability index of Bangladesh at the subdistrict level to a range of natural and climate-induced disasters. Four vulnerability index maps are created using principal component analysis and categorized into five ri
Externí odkaz:
https://doaj.org/article/2a8d558345a840918ac847093ae9929a
Publikováno v:
Environmental Challenges, Vol 17, Iss , Pp 101029- (2024)
Flash floods are highly destructive, and their frequency and intensity are expected to escalate due to climatic changes. This study thus investigated flash flood susceptibility (FFS) by applying machine learning algorithms and climate projection to p
Externí odkaz:
https://doaj.org/article/9a550c5c76bc45beb0f289a1962f38ae
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
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
The devastating 1968 flash flood in the River Chew, South-West of England, serves as a stark reminder of the unpredictable nature of such natural disasters and highlights the importance of natural hazard assessments. The uncertain and often incomplet
Externí odkaz:
https://doaj.org/article/2993d51f0a7b4074a7a07d7e398cc586
Autor:
Radhwan A. Saleh, Ahmed M. Al-Areeq, Amran A. Al Aghbari, Mustafa Ghaleb, Mohammed Benaafi, Nabil M. Al‑Areeq, Baqer M. Al-Ramadan
Publikováno v:
Geomatics, Natural Hazards & Risk, Vol 15, Iss 1 (2024)
This study addresses the challenges of flash flood susceptibility mapping in Yemen’s Qaa’Jahran Basin, characterized by complex terrain and limited hydro-meteorological data. To enhance predictive accuracy, we integrate metaheuristic feature sele
Externí odkaz:
https://doaj.org/article/1ee5fdf727d941e599c8f70a143d49d9
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