scholarly journals The Usage of Agent Based Modelling in Flood Evacuation during Dam Failure

2019 ◽  
Vol 8 (4) ◽  
pp. 6523-6528
Keyword(s):  
Life Safety ◽  
Dam Failure ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Crowd Management ◽  
Adopted Model ◽  
Cameron Highlands ◽  
Management Context ◽  
Probable Maximum Flood

With the advent of latest technology has enabled disaster management related efforts to be more efficient and effective. Agent based modelling has been utilized in crowd management context especially related to simulation of evacuation passage during the outbreak of any untoward incidents. In dam safety assessment, the number of loss of life during the flood indicates the severity of the catastrophe. Therefore, it is important for any dam owners to estimate the required warning time to ensure minimization of fatalities in the event of a disaster. The objective of the research is to estimate the loss of life at the downstream area of the Sultan Abu Bakar Dam when Probable Maximum Flood (PMF) scenario occurs. The adopted model is known as Life Safety Model (LSM), which is an agent-based model that uses the concept of dynamic interaction between the 2d-hydraulic and the receptor. A case study has been conducted focusing the population of Bertam Valley in Cameron Highlands, Pahang, West Malaysia. The outcome of this modelling has indicated that successful evacuation depends on the response rate of the victims towards the given warning prior to the disaster. It is shown that the response time might affect the fate of people during the evacuation. The application of Life Safety Model in this simulation proves its capability in estimating the loss of life as a planning measure to face the actual events.

scholarly journals Modelling the Brumadinho tailings dam failure, the subsequent loss of life and how it could have been reduced

2021 ◽  
Vol 21 (1) ◽  
pp. 21-37
Author(s):  
Darren Lumbroso ◽  
Mark Davison ◽  
Richard Body ◽  
Gregor Petkovšek
Keyword(s):  
Mining Waste ◽  
Dam Failure ◽  
Tailings Dam ◽  
Agent Based Model ◽  
Emergency Plans ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Tailings Dams ◽  
Subsequent Loss

Abstract. In recent years the number of tailings dams failures has increased. On 25 January 2019, the Brumadinho tailings dam in Brazil suddenly failed, releasing a mudflow over 10 m deep comprising some 107 m3 of mining waste which killed between 270 and 320 people. This paper details the use of an agent-based model, known as the Life Safety Model (LSM), to estimate the risk to people downstream of the Brumadinho tailings dam and to assess if the number of fatalities could have been reduced if a warning had been received prior to or at time the dam failed. The LSM modelling indicates that even if a warning had been issued as the dam failed, the number of fatalities could have been reduced. Agent-based modelling tools such as the LSM can help to inform and improve emergency plans for tailings dams, which will help to reduce the risks posed by them in the future.

scholarly journals Modelling the Brumadinho tailings dam failure, the subsequent loss of life and how it could have been reduced

2020 ◽  
Author(s):  
Darren Lumbroso ◽  
Mark Davison ◽  
Richard Body ◽  
Gregor Petkovšek
Keyword(s):  
Mining Waste ◽  
Dam Failure ◽  
Tailings Dam ◽  
Agent Based Model ◽  
Emergency Plans ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Tailings Dams ◽  
Subsequent Loss

Abstract. In recent years the number of tailings dams failures has increased. On 25 January 2019, the Brumadinho tailings dam in Brazil suddenly failed releasing a mudflow over 10 m deep comprising some 10 million m3 of mining waste which killed between 270 and 320 people. This paper details the use of an agent-based model, known as the Life Safety Model (LSM), to estimate the risk to people downstream of the Brumadinho tailings dam and to assess if the number of fatalities could have been reduced if a warning had been received prior to or at time the dam failed. The LSM modelling indicates that even if a warning had been issued as the dam failed the number of fatalities could have been reduced. Agent-based modelling tools such as the LSM can help to inform and improve emergency plans for tailings dams, which will help to reduce the risk posed by them in the future.

A Comparison between Agent-Based and GIS-Based Tsunami Evacuation Simulations: A Case Study for Tofino, BC

2021 ◽  
Author(s):  
Joseph Kim ◽  
Tomoyuki Takabatake ◽  
Ioan NISTOR ◽  
Tomoya Shibayama
Keyword(s):  
Information Systems ◽  
Geographical Information Systems ◽  
Mortality Rates ◽  
Geographical Information ◽  
Evacuation Planning ◽  
Loss Of Life ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Validation Tool

Soft measures such as evacuation planning are recommended to mitigate the loss of life during tsunamis. Two types of evacuation models are widely used: (1) Agent-based modelling (ABM) defines sets of rules that individual agents in a simulation follow during a simulated evacuation. (2) Geographical information systems (GIS) are more accessible to city planners, but cannot incorporate the dynamic behaviours found in ABMs. The two evacuation modelling methodologies were compared through a case study by assessing the state of evacuation preparedness and investigating potential mitigation options. The two models showed different magnitudes for mortality rates and facility demand but had similar trends. Both models agreed on the best solution to reduce the loss of life for the community. GIS may serve as a useful tool for initial investigation or as a validation tool for ABMs. ABMs are recommended for use when modelling evacuation until GIS methodologies are further developed.

scholarly journals Agent-based Modelling and Simulation for Circular Business Model Experimentation

2021 ◽  
pp. 200055
Author(s):  
Kasper P.H. Lange ◽  
Gijsbert Korevaar ◽  
Inge F. Oskam ◽  
Igor Nikolic ◽  
Paulien M. Herder
Keyword(s):  
Business Model ◽  
Modelling And Simulation ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Skin Stem Cell Hypotheses and Long Term Clone Survival – Explored Using Agent-based Modelling

2013 ◽  
Vol 3 (1) ◽  
Author(s):  
X. Li ◽  
A. K. Upadhyay ◽  
A. J. Bullock ◽  
T. Dicolandrea ◽  
J. Xu ◽  
...  
Keyword(s):  
Stem Cell ◽  
Agent Based ◽  
Agent Based Modelling

scholarly journals Visualising Ostia’s Processional Landscape Through a Multi-Layered Computational Approach: Case Study of the Cult of the Magna Mater

2019 ◽  
Vol 5 (1) ◽  
pp. 444-467
Author(s):  
Katherine A. Crawford
Keyword(s):  
Network Analysis ◽  
Computational Approach ◽  
Urban Network ◽  
Agent Based ◽  
Agent Based Modelling ◽  
Existing Problems ◽  
Layered Approach ◽  
Religious Landscape ◽  
Insight Into

AbstractOstia, the ancient port of Rome, had a rich religious landscape. How processional rituals further contributed to this landscape, however, has seen little consideration. This is largely due to a lack of evidence that attests to the routes taken by processional rituals. The present study aims to address existing problems in studying processions by questioning what factors motivated processional movement routes. A novel computational approach that integrates GIS, urban network analysis, and agent-based modelling is introduced. This multi-layered approach is used to question how spectators served as attractors in the creation of a processional landscape using Ostia’s Campo della Magna Mater as a case study. The analysis of these results is subsequently used to gain new insight into how a greater processional landscape was created surrounding the sanctuary of the Magna Mater.

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