Numerical investigation of the landslide-debris flow transformation process considering topographic and entrainment effects: a case study

Landslides ◽  
2022 ◽  
Author(s):  
Jian Guo ◽  
Yifei Cui ◽  
Wenjie Xu ◽  
Yanzhou Yin ◽  
Yao Li ◽  
...  
Keyword(s):  
Debris Flow ◽  
Numerical Investigation ◽  
Transformation Process ◽  
Landslide Debris

Susceptibility Assessments and Validations of Debris-Flow Events in Meizoseismal Areas: Case Study in China’s Longxi River Watershed

2020 ◽  
Vol 21 (1) ◽  
pp. 05019005 ◽  
Author(s):  
Saier Wu ◽  
Jian Chen ◽  
Chong Xu ◽  
Wendy Zhou ◽  
Leihua Yao ◽  
...  
Keyword(s):  
Debris Flow ◽  
River Watershed

The Distribution Regularity of Geohazard in the Dry-Hot Valley of Jinsha River: Case Study in Derong County

2012 ◽  
Vol 518-523 ◽  
pp. 5754-5759
Author(s):  
Dong Jian Xue ◽  
Zheng Wei He ◽  
Xiang Dong Zheng
Keyword(s):  
Economic Development ◽  
Tectonic Activity ◽  
Human Engineering ◽  
Monsoon Climate ◽  
Jinsha River ◽  
Physical Weathering ◽  
Geological Conditions ◽  
Vertical Zone ◽  
Landslide Debris

Derong County is located in Ganzi Tibetan Autonomous Prefecture in southern part of Sichuan Province, in the upper of the Jinsha River, where there is a subtropical plateau monsoon climate, abundant sunshine, and large amount of evaporation, so it is a typical dry-hot valleys region. Derong County is the area of more ups and downs in the terrain, deep valleys, steep mountains, complex geological conditions, intense tectonic activity, various climate types, and has obvious vertical zone effect by temperature, serious physical weathering of rock, and landslide, debris flow, collapse and other geohazards are easily induced under the influence of rainfall and human engineering activities. These geohazards have brought serious harm to the people's lives and property, and have a great impact on the socio-economic development. Through the analysis of geohazards in the study area to investigate its distribution and development trends, this paper provide a basis for geohazard prevention and economic development.

scholarly journals Risk management on an alluvial fan: a case study of the 2008 debris-flow event at Villar Pellice (Piedmont, N-W Italy)

2010 ◽  
Vol 10 (5) ◽  
pp. 999-1008 ◽  
Author(s):  
M. Arattano ◽  
R. Conte ◽  
L. Franzi ◽  
D. Giordan ◽  
A. Lazzari ◽  
...  
Keyword(s):  
Debris Flow ◽  
Human Life ◽  
Alluvial Fan ◽  
Civil Protection ◽  
Emergency Situations ◽  
New Guidelines ◽  
Personal Accounts ◽  
Regional Authorities ◽  
North Western

Abstract. In the Piedmont Region (North-Western Italy), the regional authorities manage debris flow risk by following the ideal sequence of steps that are generally pursued in land planning and civil protection activities. Complex procedures and methods are elaborated and widely discussed with politicians, economists and the general public. On the contrary, in emergency situations, civil protection agencies generally prefer the adoption of simple and flexible criteria. In this paper, a catastrophic debris flow event, that occurred in 2008 in Villar Pellice, is described in this perspective, after an analysis of the triggering rainfalls and of the effects on human life and properties. The availability of a series of personal accounts coming from people who witnessed the occurrences before, during and after the event has allowed us to analyse, in detail, the dynamics of the event. Thanks to these accounts, it has been possible to propose new guidelines for the planning of the emergency activities in areas that are potentially prone to similar impulsive phenomena.

scholarly journals EVOLUTIONARY ALGORITHMS FOR RESOURCE CONSTRAINED NON-SERIAL MIXED FLOW SHOPS

2003 ◽  
Vol 03 (04) ◽  
pp. 411-435 ◽  
Author(s):  
ROBERT L. BURDETT ◽  
ERHAN KOZAN
Keyword(s):  
Evolutionary Algorithms ◽  
Numerical Investigation ◽  
Flow Shop ◽  
Resource Constrained ◽  
Mixed Flow ◽  
Flow Shops ◽  
Constrained Flow

In this paper the resource-constrained flow shop (RCF) problem is addressed. A number of realistic extensions are incorporated, including non-serial precedence requirements, mixed flow shop situations, and the distribution of the human workforce among a number of pre-determined groups. The RCF is then solved by meta-heuristics, primarily of the evolutionary type. An extensive numerical investigation, including a case study of a particular industrial situation, details the implementation and execution of the heuristics, and the efficiency of the proposed algorithms.

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