Risk-Informed Decision Making Framework for Operating a Multi-Purpose Hydropower Reservoir During Flooding and High Inflow Events, Case Study: Cheakamus River System

2014 ◽  
Vol 29 (3) ◽  
pp. 801-815 ◽  
Author(s):  
M. H. Alipour
Keyword(s):  
Decision Making ◽  
River System ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Decision Making Framework ◽  
Hydropower Reservoir

scholarly journals Risk Informed Decision-Making Framework for Operating Reservoirs Under Flooding Conditions: Accounting for Uncertainty and Risk

10.29007/v979 ◽  
2018 ◽  
Author(s):  
Ziad Shawwash ◽  
James H. Everett
Keyword(s):  
Decision Making ◽  
Planning Process ◽  
Software Tool ◽  
Decision Support Tool ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Reservoir Operations ◽  
Support Tool ◽  
Impact Processes ◽  
Decision Making Framework

This paper presents the Risk Informed Decision-making Framework and software tool we developed that formally account for flood risk and uncertainty in reservoir operations. The framework and the software tool are intended for practical use by reservoir operations planners to manage flooding events. We present a robust and comprehensive approach that accounts for a multitude of flood risks and their impacts, and that enables its users to identify those alternative reservoir operating plans that formally adopt a state-of-the-art risk informed decision-making framework. Solidly grounded in and closely follows a well-structured planning process, the framework augments existing planning processes and information flows that incorporates specific techniques and methods from probabilistic risk analysis (PRA) and Multi-criteria Decision Analysis techniques (MCDA). Seven major hydropower companies and agencies in North America and Europe sponsored the development of the framework and the decision support tool. We present the results of a case study to illustrate the framework and the software system. We show that numerous advantages can be achieved using such tools over currently used approaches and that in the case of risky and high-impact processes, such as in the management of potentially high-consequence facilities such as storage reservoirs, management by a human operator is essential.

scholarly journals Convergent analytics and informed decision-making: A retrospective multimethod case study project in Kenya

2017 ◽  
Vol 6 (2) ◽  
pp. 214-225
Author(s):  
Irene Podolak ◽  
Anteneh Ayanso ◽  
Maureen Connolly ◽  
Madelyn Law ◽  
Jarold Cosby
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making

scholarly journals Organizational impact of evidence-informed decision making training initiatives: a case study comparison of two approaches

2014 ◽  
Vol 9 (1) ◽  
Author(s):  
François Champagne ◽  
Louise Lemieux-Charles ◽  
Marie-France Duranceau ◽  
Gail MacKean ◽  
Trish Reay
Keyword(s):  
Decision Making ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Organizational Impact

System Risk Importance Analysis Using Bayesian Networks

2018 ◽  
Vol 25 (01) ◽  
pp. 1850004 ◽  
Author(s):  
Ali Noroozian ◽  
Reza Baradaran Kazemzadeh ◽  
Seyed Taghi Akhavan Niaki ◽  
Enrico Zio
Keyword(s):  
Decision Making ◽  
Bayesian Networks ◽  
Structural Characteristics ◽  
Informed Decision ◽  
Informed Decision Making ◽  
Risk Modeling ◽  
Modeling And Analysis ◽  
Importance Analysis ◽  
System Risk

Importance measures (IMs) are used for risk-informed decision making in system operations, safety, and maintenance. Traditionally, they are computed within fault tree (FT) analysis. Although FT analysis is a powerful tool to study the reliability and structural characteristics of systems, Bayesian networks (BNs) have shown explicit advantages in modeling and analytical capabilities. In this paper, the traditional definitions of IMs are extended to BNs in order to have more capability in terms of system risk modeling and analysis. Implementation results on a case study illustrate the capability of finding the most important components in a system.

Applying Best Practical Environmental Optioneering (BPEO) to a Complex Clean Up Programme: A Ponds and Silos Case Study

2009 ◽  
Author(s):  
Simon Candy
Keyword(s):  
Decision Making ◽  
Nuclear Waste ◽  
Informed Decision ◽  
Nuclear Industry ◽  
Waste Stream ◽  
Informed Decision Making ◽  
Nuclear Wastes ◽  
Waste Streams ◽  
Selection Of

The use of Best Practical Environmental Optioneering (BPEO) has long been part of informed decision making within the Nuclear Industry. However, BPEO has typically been applied to specific and discrete objectives, for example the selection of a technology to treat a particular nuclear waste stream. While this has sometimes been extended to cover a number of objectives, no one had applied BPEO to a programme of the size and complexity of that associated with Legacy Ponds & Silos at Sellafield. The programme, spanning more than 30 years, includes a range of different objectives covering ongoing management, recovery, conditioning, storage and ultimately disposal of nuclear wastes. This range of activities is applied across a number of facilities containing multiple, significant waste streams. This paper explains how BPEO was applied to the Legacy Ponds & Silos programme and discussed some of the learning resulting from that exercise.

Teaching sustainability-informed decision-making based on high-risk dam failure case study

CIM Journal ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 274-281
Author(s):  
D. Beneteau ◽  
K. Chovan ◽  
P. Hughes ◽  
S. Gauthier
Keyword(s):  
Decision Making ◽  
High Risk ◽  
Informed Decision ◽  
Dam Failure ◽  
Informed Decision Making
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