scholarly journals Reduction of the Hazard Level Due to Hyperconcentrated Flows in a Dry Creek Applying FLO-2D Modeling

2021 ◽  
pp. 85-91
Author(s):  
Roberto Talledo
Keyword(s):  
2D Modeling ◽  
Hazard Level

Assessment of Fire Hazard Level of Industrial Objects based on the Statistic Methods

2020 ◽  
pp. 12-17
Author(s):  
A.A. Poroshin ◽  
◽  
E.Yu. Udavtsova ◽  
E.V. Bobrinev ◽  
A.A. Kondashov ◽  
...  
Keyword(s):  
Fire Hazard ◽  
Hazard Level

scholarly journals Classification of coal seam outburst hazards and evaluation of the importance of influencing factors

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Xianzhi Shi ◽  
Dazhao Song ◽  
Ziwei Qian
Keyword(s):  
Coal Seam ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Scientific Basis ◽  
Prevention Measures ◽  
Coal Seam Gas ◽  
Geological Factors ◽  
Hazard Level ◽  
Outburst Hazard

AbstractCoal and gas outbursts are the result of several geological factors related to coal seam gas (coal seam gas pressureTo classify the outburst hazard level of a coal seam by means of statistical methods, this study considered the geological parameters of coal seam gas and statistical data on the amount of material involved in coal outbursts. Through multivariate regression analysis, a multivariate regression equation between the outburst coal quantity andUsing a significance evaluation of the aforementioned factors, the relative contributions of the gas-related geological parameters to the outburst hazard level of a coal seam were found to follow the orderThis work provides a scientific basis for evaluating the outburst hazard level of a coal seam and adopting feasible and economical outburst-prevention measures.

Performance-Based Probabilistic Seismic Slope Displacement Procedure

2018 ◽  
Vol 34 (2) ◽  
pp. 673-695 ◽  
Author(s):  
Jorge Macedo ◽  
Jonathan Bray ◽  
Norman Abrahamson ◽  
Thaleia Travasarou
Keyword(s):  
Seismic Performance ◽  
Full Range ◽  
Assessment Procedure ◽  
Seismic Displacement ◽  
Earth Systems ◽  
Crustal Earthquakes ◽  
Wide Range ◽  
Earth Structures ◽  
Hazard Level ◽  
Slope Displacement

Engineers often use simplified seismic slope displacement procedures to evaluate the seismic performance of earth structures and natural slopes. Current state of practice procedures typically separate the estimation of the ground motion intensity measure ( IM) from the estimate of seismic displacement ( D), given the selected IM hazard level. Thus D is estimated based on a single IM value. A straightforward performance-based seismic slope assessment procedure is proposed, which considers the full range of potential IM values to estimate seismic slope displacements directly related to a hazard level. Seismic performance is assessed through either a Newmark-type seismic displacement estimate or a calibrated seismic coefficient that can be used in pseudostatic slope stability analyses. The procedures were developed for a wide range of earth systems for shallow crustal earthquakes and subduction zone earthquakes. Currently employed simplified slope displacement procedures do not provide consistent assessments of the actual seismic slope displacement hazard. The proposed procedures can be readily used in practice to perform rigorous performance-based seismic slope displacement hazard assessments.

TSUNAMI HAZARD AND CASUALTY ESTIMATION IN A COASTAL AREA THAT NEIGHBORS THE INDIAN OCEAN AND SOUTH CHINA SEA

2012 ◽  
Vol 06 (02) ◽  
pp. 1250010 ◽  
Author(s):  
ANAWAT SUPPASRI ◽  
FUMIHIKO IMAMURA ◽  
SHUNICHI KOSHIMURA
Keyword(s):  
Indian Ocean ◽  
South China Sea ◽  
South China ◽  
The South China Sea ◽  
The South ◽  
Worst Case ◽  
China Sea ◽  
Coastal Population ◽  
The Indian Ocean ◽  
Hazard Level

In the Indian Ocean and the South China Sea, many hundreds of thousands of lives have been lost due to tsunami events, and almost half of the lives lost occurred following the 2004 Indian Ocean event. Potential tsunami case scenarios have been simulated in these regions by a number of researchers to calculate the hazard level. The hazard level is based on a variety of conditions, such as the tsunami height, the inundation area, and the arrival time. However, the current assessments of the hazard levels do not focus on the tsunami risk to a coastal population. This study proposes a new method to quantify the risk to the coastal population in the region that includes the Indian Ocean and the South China Sea. The method is simple and combines the use of readily available tsunami data, far-field tsunami simulation models to determine the regional risk and global population data. An earthquake-generated tsunami was simulated, following an earthquake that had a magnitude larger than 8.5 Mw and occurred along a potential subduction zone. The 2004 Indian Ocean event seemed to be a "worst case scenario"; however, it has been estimated that a potential tsunami, occurring in a coastal region with a high population density, could cause significantly greater casualties.

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