scholarly journals Venezuelan debris flow and flash flood disaster of 1999 studied

Eos ◽  
2001 ◽  
Vol 82 (47) ◽  
pp. 572-572 ◽  
Author(s):  
M. C. Larsen ◽  
G. F. Wieczorek ◽  
L. S. Eaton ◽  
B. A. Morgan ◽  
H. Torres-Sierra
Keyword(s):  
Debris Flow ◽  
Flash Flood ◽  
Flood Disaster

scholarly journals Natural hazards on alluvial fans; the Venezuela debris flow and flash flood disaster

Fact Sheet ◽  
2002 ◽  
Author(s):  
M.C. Larsen ◽  
G.F. Wieczorek ◽  
L.S. Eaton ◽  
B.A. Morgan ◽  
Heriberto Torres-Sierra
Keyword(s):  
Debris Flow ◽  
Natural Hazards ◽  
Flash Flood ◽  
Flood Disaster ◽  
Alluvial Fans

scholarly journals A Survey of Remote Sensing and Geographic Information System Applications for Flash Floods

2021 ◽  
Vol 13 (9) ◽  
pp. 1818
Author(s):  
Lisha Ding ◽  
Lei Ma ◽  
Longguo Li ◽  
Chao Liu ◽  
Naiwen Li ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Information System ◽  
Geographic Information System ◽  
Flash Flood ◽  
Flash Floods ◽  
Geographic Information ◽  
Flood Disaster ◽  
Future Research ◽  
Time Zone ◽  
Gis Technologies

Flash floods are among the most dangerous natural disasters. As climate change and urbanization advance, an increasing number of people are at risk of flash floods. The application of remote sensing and geographic information system (GIS) technologies in the study of flash floods has increased significantly over the last 20 years. In this paper, more than 200 articles published in the last 20 years are summarized and analyzed. First, a visualization analysis of the literature is performed, including a keyword co-occurrence analysis, time zone chart analysis, keyword burst analysis, and literature co-citation analysis. Then, the application of remote sensing and GIS technologies to flash flood disasters is analyzed in terms of aspects such as flash flood forecasting, flash flood disaster impact assessments, flash flood susceptibility analyses, flash flood risk assessments, and the identification of flash flood disaster risk areas. Finally, the current research status is summarized, and the orientation of future research is also discussed.

An integrated approach of ground and aerial observations in flash flood disaster investigations. The case of the 2017 Mandra flash flood in Greece

2019 ◽  
Vol 33 ◽  
pp. 290-309 ◽  
Author(s):  
M. Diakakis ◽  
E. Andreadakis ◽  
E.I. Nikolopoulos ◽  
N.I. Spyrou ◽  
M.E. Gogou ◽  
...  
Keyword(s):  
Flash Flood ◽  
Integrated Approach ◽  
Flood Disaster

scholarly journals Characteristics and Prevention of the Debris Flows following Wenchuan Earthquake in Jushui River Basin, An County, China

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
Yonggang Ge ◽  
Jianqiang Zhang ◽  
Xiaojun Guo
Keyword(s):  
Debris Flow ◽  
Wenchuan Earthquake ◽  
River Basin ◽  
Debris Flows ◽  
Flash Flood ◽  
River Channel ◽  
Hazard Identification ◽  
Control Mode ◽  
Potential Hazard ◽  
Prevention Measures

After analysing the catastrophic debris flows on August 18, 2012, and on July 9, 2013, in Jushui River basin, An County, the Wenchuan Earthquake seriously striken areas, it was found that they were characterized by the clay soil content of 0.1~1.2%, the density of 1.68~2.03 t/m3, the discharges of 62.2 m3/s to 552.5 m3/s, and the sediment delivery modulus of 1.0~9.4 × 104 m3/km2. Due to intense rainstorm, many large debris flows produced hazard chain, involved in flash flood, debris flow, dammed lake, and outburst flood, and rose Jushui River channel about 1~4 m as well as amplified flood. The hazards and losses mainly originated from the burying and scouring of debris flows, flood inundating, and river channel rise. The prevention of debris flows is facing the intractable problems including potential hazard identification, overstandard debris flow control, control constructions destructing, and river channel rapid rise. Therefore, the prevention measures for the basin, including hazard identification and risk assessment, inhabitants relocating, monitoring and alarming network establishing, emergency plans founding, and river channel renovating, and the integrated control mode for watershed based on regulating the process of debris flow discharge, were recommended for mitigation.

Modeling on flash flood disaster induced by bed load

2008 ◽  
Vol 14 (4) ◽  
pp. 296-299
Author(s):  
Shuyou Cao ◽  
Xingnian Liu ◽  
Er Huang ◽  
Kejun Yang
Keyword(s):  
Flash Flood ◽  
Flood Disaster ◽  
Bed Load

Flash flood disaster-n�mes, France, 1988

1991 ◽  
Vol 7 (4) ◽  
pp. 365-371 ◽  
Author(s):  
P. Duclos ◽  
O. Vidonne ◽  
P. Beuf ◽  
P. Perray ◽  
A. Stoebner
Keyword(s):  
Flash Flood ◽  
Flood Disaster

An Evaluation of Flash Flood and Debris Flow Guidance in Gangwon Province in Korea

2016 ◽  
Vol 12 (4) ◽  
pp. 85-96
Author(s):  
Byung In Yu ◽  
◽  
Byung Sik Kim ◽  
Suck Ho Lee ◽  
◽  
...  
Keyword(s):  
Debris Flow ◽  
Flash Flood

scholarly journals An Alternative Algorithm for Simulating Flash Flood

2021 ◽  
Vol 930 (1) ◽  
pp. 012076
Author(s):  
M F Khaldirian ◽  
A P Rahardjo ◽  
D Luknanto ◽  
R D R Sondi
Keyword(s):  
Numerical Modeling ◽  
Debris Flow ◽  
Coordinate System ◽  
Flash Flood ◽  
Front Propagation ◽  
Bed Elevation ◽  
Forward Difference ◽  
Lagrangian Coordinate ◽  
The Galerkin Method ◽  
Sediment Mixture

Abstract Most of the approaches in numerical modeling techniques are based on the Eulerian coordinate system. This approach faces difficulty in simulating flash flood front propagation. This paper shows an alternative method that implements a numerical modeling technique based on the Lagrangian coordinate system to simulate the water of debris flow. As for the interaction with the riverbed, the simulation uses an Eulerian coordinate system. The method uses the conservative and momentum equations of water and sediment mixture in the Lagrangian form. Source terms represent deposition and erosion. The riverbed in the Eulerian coordinate system interacts with the flow of the mixture. At every step, the algorithm evaluates the relative position of moving nodes of the flow part to the fixed nodes of the riverbed. Computation of advancing velocity and depth uses the riverbed elevation, slope data, and the bed elevation change computation uses the erosion or deposition data of the flow on the moving nodes. Spatial discretization is implementing the Galerkin method. Furthermore, temporal discretization is implementing the forward difference scheme. Test runs show that the algorithm can simulate downward, upward, and reflected backward 1-D flow cases. Two-D model tests and comparisons with SIMLAR software show that the algorithm works in simulating debris flow.

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