منابع مشابه
A Mathematical Model for Forecasting the Dam-Break Flood Routing Process of a Landslide Dam
Once a landslide dam bursts, its reservoir discharges quickly in a flood which will cause catastrophic damage to life and property downstream. For a specific landslide dam, the peak flow rate and the evolution of downstream flood are influenced by the shape and size of the dike breach when dam-break occurs. According to the general nature of landslide dams and field observations of dike-breach ...
متن کاملDam-break Flood Risk Management. an Integrated Project
Contemporary dam safety regulations include risk assessment at downstream flood plains and consideration of potential damages due to dam rupture, regardless of the expected probability of occurrence of such event. The aim of these kind of procedures is to increase the safety level along the valley against abnormal floods caused by dam accidents. Emergency plans for downstream flood plains, incl...
متن کاملThe 1786 earthquake-triggered landslide dam and subsequent dam-break flood on the Dadu river, southwestern China
Forensic studies of past hydraulic structure failures are rare despite their critical relevance to modern hydraulic design, and the writers (Dai et al., 2005) must be congratulated for their outstanding study. Herein the discussion is focused on two aspects of the conclusion. It is believed that dam overtopping was the primary cause of the Dadu river landslide dam failure, although aftershocks ...
متن کاملInvestigating the Effect of Rainfall Spatial Distribution on Flood in Bakhtiari Dam Basin Using HEC-HMS
The disparate spatial and temporal distribution of rainfall in the country and climate variation sometimes leads to rivers flooding and large flood events, which are remarkable for life and financial losses. Flood control design requires accurate knowledge of the flood generator basin, especially smaller ones, in large basins. Determining the potential of flood generation to specify the...
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ژورنال
عنوان ژورنال: Scientific American
سال: 1921
ISSN: 0036-8733
DOI: 10.1038/scientificamerican1121-38