Accounting for Dynamic Processes in Process Emergency Response Using Event Tree Modeling

Raman, Raghu

doi:10.1002/9780470924839.ch16

Cited by 3 publications

(2 citation statements)

References 8 publications

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“…Haque (2004) developed a model of a community's water supply in the event of contamination, as to offer decision support information for the local authority. Raman (2004) proposed an event tree model to describe the dynamic process of emergency responses. Qinn and Jacobs (2007) described a hydrodynamic water quality model which was included in an emergency environmental response system to protect migrating salmon in the lower San Joaquin River in California.…”

Section: Environmental Emergency Response and Preparedness Technologimentioning

confidence: 99%

CBR respond and preparedness system development for environmental emergency

Liao

Mao

Liu

et al. 2011

Civil Engineering and Environmental Systems

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Effective response and preparedness plans are important for successfully coping with environmental emergencies. 'Quickness' and 'accuracy' are the most important requirements of environmental emergency response and preparedness planning. We propose the use of case-based reasoning (CBR) technology to develop response and preparedness plans using these principles. Taking into account the characteristics of a real environmental emergency, the development is presented using the example of a CBR -Oil Spill Response and Preparedness System. This paper introduces the methodology, which includes system architecture, inputs and outputs, case structure, case retrieval, case adaptation, case evaluation and retention, and management of the case base. The following methods are presented to meet the requirements of environmental emergency response and preparedness planning: the Frame method for defining case representation; the modified Heterogeneous Euclidean-Overlap Metric method for defining the similarity function; and the Attribute Hierarchical Model method for assigning relative weights to attributes. The effectiveness and uncertainty of the methodology are also discussed.

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Section: Environmental Emergency Response and Preparedness Technologimentioning

confidence: 99%

CBR respond and preparedness system development for environmental emergency

Liao

Mao

Liu

et al. 2011

Civil Engineering and Environmental Systems

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“…These studies include electrical accident countermeasure systems for mines, ( 6 ) fusion fission hybrid reactor failures, ( 7 ) water resource planning, ( 8 ) steam generator tube ruptures, ( 9 ) and emergency response in the context of chemical hazards or spills. ( 10,11 ) In the 1990s, researchers began to apply the methodology to assess the risks for the homogeneous road tunnels. ( 12‐14 ) All these case studies show the usefulness and suitability of QRA methodology.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Risk Assessment Modeling for Nonhomogeneous Urban Road Tunnels

Meng

Wang

et al. 2010

Risk Analysis

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Urban road tunnels provide an increasingly cost-effective engineering solution, especially in compact cities like Singapore. For some urban road tunnels, tunnel characteristics such as tunnel configurations, geometries, provisions of tunnel electrical and mechanical systems, traffic volumes, etc. may vary from one section to another. These urban road tunnels that have characterized nonuniform parameters are referred to as nonhomogeneous urban road tunnels. In this study, a novel quantitative risk assessment (QRA) model is proposed for nonhomogeneous urban road tunnels because the existing QRA models for road tunnels are inapplicable to assess the risks in these road tunnels. This model uses a tunnel segmentation principle whereby a nonhomogeneous urban road tunnel is divided into various homogenous sections. Individual risk for road tunnel sections as well as the integrated risk indices for the entire road tunnel is defined. The article then proceeds to develop a new QRA model for each of the homogeneous sections. Compared to the existing QRA models for road tunnels, this section-based model incorporates one additional top event-toxic gases due to traffic congestion-and employs the Poisson regression method to estimate the vehicle accident frequencies of tunnel sections. This article further illustrates an aggregated QRA model for nonhomogeneous urban tunnels by integrating the section-based QRA models. Finally, a case study in Singapore is carried out.

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