Risk Assessment of Slope Instability Related Geohazards

A critical review of highway slope instability risk assessment systems

Bulletin of Engineering Geology and the Environment ◽

10.1007/s10064-010-0328-5 ◽

2010 ◽

Vol 70 (3) ◽

pp. 395-400 ◽

Cited By ~ 30

Author(s):

Lysandros Pantelidis

Keyword(s):

Risk Assessment ◽

Critical Review ◽

Slope Instability ◽

Assessment Systems

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Risk assessment on landslides focused on the role of the water: examples from model regions (Rio de Janeiro State and Hong Kong)

SN Applied Sciences ◽

10.1007/s42452-021-04300-5 ◽

2021 ◽

Vol 3 (4) ◽

Author(s):

Rita Leal Sousa ◽

Eurípedes Vargas ◽

Helder I. Chaminé ◽

Luis Ribeiro e Sousa ◽

Karim Karam

Keyword(s):

Risk Assessment ◽

Hong Kong ◽

Rio De Janeiro ◽

Large Population ◽

High Standard ◽

The State ◽

Slope Instability ◽

Economic Losses ◽

Landslide Hazards ◽

History Of

AbstractLandslides are one of the most vital natural hazards on Earth. To satisfy the demand for protection against landslides, it is necessary to systematically assess and manage landslide hazards and risk. Landslide mechanisms related to hydrology are analyzed with focus in the major risks, and formal risk assessment methodologies are presented in the paper. Issues related to risk assessment are discussed and different steps are described. The management of accidents in slopes is discussed, with particular emphasis to Hong Kong and Rio de Janeiro in Brazil. Hong Kong is a region of China with a large population density and very mountainous. There is a history of tragic accidents in the slopes. The territory has a tradition of a high standard in the practice of slope engineering. The establishment of an efficient security system developed by Geotechnical Engineering Office was established in the territory. Also, specific aspects of slope instability in the state of Rio de Janeiro are discussed, and in Rio de Janeiro city, with focus on cases which occurred in the mountainous region of the State. The mega-disaster that occurred in 2011, with high number of deaths and significant economic losses, is studied with incidence in individual landslides.

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On-site wastewater management system design and landslide risk assessment

Water Science & Technology ◽

10.2166/wst.2005.0351 ◽

2005 ◽

Vol 51 (10) ◽

pp. 55-63

Author(s):

J.H. Whitehead ◽

A. Leventhal

Keyword(s):

Risk Assessment ◽

System Design ◽

Management System ◽

Effective Interaction ◽

Slope Instability ◽

Successful Outcome ◽

Landslide Risk ◽

Wastewater Management ◽

Management Procedure ◽

Landslide Risk Assessment

On-site wastewater management system design and performance is significant in assessing landslide risk in areas with potential for slope instability. Much of the development in Pittwater, NSW, local government area is on steep coastal land which has a history of slope instability. Concern over cases of poorly performing or failing on-site wastewater systems and the recognition that these and newly designed systems could be contributory to slope instability has been a factor in Pittwater Council, NSW, requiring that landslide risk assessment be undertaken for new and amended on-site wastewater management systems in potentially unstable areas. This paper describes the wastewater management system design and landslide risk assessment undertaken at Pittwater Youth Hostel in accordance with the Australian Geomechanics Society's Geotechnical Risk Management procedure to comply with the Pittwater Policy. The work completed illustrates both necessary and effective interaction of the wastewater and geotechnical professions to achieve a successful outcome for the client. It is likely that this professional interaction will be increasingly common along the NSW coast and elsewhere.

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Risk Assessment for Geotechnical Solutions Offshore (Invited Lecture)

23rd International Conference on Offshore Mechanics and Arctic Engineering, Volume 2 ◽

10.1115/omae2004-51144 ◽

2004 ◽

Cited By ~ 1

Author(s):

Suzanne Lacasse

Keyword(s):

Risk Assessment ◽

Decision Making ◽

Risk Perception ◽

Bearing Capacity ◽

Slope Instability ◽

Risk Level ◽

Acceptable Risk ◽

Geological Evidence ◽

Underwater Slope ◽

Practice Methods

More and more frequently, it is required to quantify risk in practice. Statistics, reliability analysis and risk assessment are important tools to account for uncertainties and to assist the process of decision-making. After briefly reviewing concepts of uncertainties, reliability, safety and risk, the paper presents applications and approaches for offshore geotechnical practice. Methods for analysis of bearing capacity and settlement to couple statistical observations, e.g. from geological evidence of underwater slope instability, and computed failure probabilities are presented. The geotechnical profession needs to improve its understanding of geological risks and its ability to deal with them. Risk perception in society triggers discussion of acceptable risk level and public protection guidelines. The paper concludes that the profession can only gain by implementing in practice more systematically than before probabilistic and risk-based thinking and, where appropriate, risk-based methodology.

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Risk Evaluation Model of Highway Tunnel Portal Construction Based on BP Fuzzy Neural Network

Computational Intelligence and Neuroscience ◽

10.1155/2018/8547313 ◽

2018 ◽

Vol 2018 ◽

pp. 1-16 ◽

Cited By ~ 4

Author(s):

Xianghui Deng ◽

Tian Xu ◽

Rui Wang

Keyword(s):

Neural Network ◽

Numerical Simulation ◽

Risk Assessment ◽

Risk Evaluation ◽

Risk Measures ◽

Evaluation Model ◽

Control Measures ◽

Slope Instability ◽

Tunnel Portal ◽

Risk Evaluation Model

Risk assessment for tunnel portals in the construction stage has been widely recognized as one of the most critical phases in tunnel construction as it easily causes accident than the overall length of a tunnel. However, the risk in tunnel portal construction is complicated and uncertain which has made such a neural network very attractive to the construction projects. This paper presents a risk evaluation model, which is obtained from historical data of 50 tunnels, by combining the fuzzy method and BP neural network. The proposed model is used for the risk assessment of the Tiefodian tunnel. The results show that the risk evaluation level is IV, slope instability is the greatest impact index among four risk events, and the major risk factors are confirmed. According to the evaluation results, corresponding risk control measures are suggested and implemented. Finally, numerical simulation is carried out before and after the implementation of risk measures, respectively. The rationality of the proposed risk evaluation model is proved by comparing the numerical simulation results.

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