scholarly journals Towards Integrated Flood Risk and Resilience Management

Water ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1789 ◽  
Author(s):  
Guangtao Fu ◽  
Fanlin Meng ◽  
Mónica Rivas Casado ◽  
Roy S. Kalawsky
Keyword(s):  
Flood Risk ◽  
Management Strategies ◽  
Flood Management ◽  
Future Research ◽  
Risk And Resilience ◽  
Research Directions ◽  
Adverse Impacts ◽  
Hazard And Risk ◽  
Future Research Directions ◽  
Resilience Management

Flood resilience is an emerging concept for tackling extreme weathers and minimizing the associated adverse impacts. There is a significant knowledge gap in the study of resilience concepts, assessment frameworks and measures, and management strategies. This editorial introduces the latest advances in flood risk and resilience management, which are published in 11 papers in the Special Issue. A synthesis of these papers is provided in the following themes: hazard and risk analysis, flood behaviour analysis, assessment frameworks and metrics, and intervention strategies. The contributions are discussed in the broader context of the field of flood risk and resilience management and future research directions are identified for sustainable flood management.

Management of Risk and Resilience within Collaborative Business Network

2016 ◽  
pp. 143-159
Author(s):  
Ahm Shamsuzzoha
Keyword(s):  
Risk Mitigation ◽  
Future Research ◽  
Business Networks ◽  
Risk And Resilience ◽  
Business Network ◽  
Global Business ◽  
Research Directions ◽  
Future Research Directions ◽  
Potential Risks ◽  
Different Levels

Global business communities are facing tremendous challenges from market places with respect to reduce cost and offer true customized products or services to the end customers. To cope such challenges companies are nowadays considering forming a business network with the objective to achieve several business benefits. However, to execute such business network is not risks free but always facing some problems for its continuation successfully. In such situation, it is necessary to formulate risk mitigation plan and strengthen the resilience within business network. The objective of this article is therefore to identifying and sharing risks within the collaborative business network and proposing necessary mitigating plan and resilience for it. In this research, a framework is also highlighted that provides a structural approach for identifying and assessing potential risks and resilience in business networks and their possible impacts on different levels of collaboration. The study is concluded with future research directions.

scholarly journals Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions

2021 ◽  
Author(s):  
Roberto Bentivoglio ◽  
Elvin Isufi ◽  
Sebastian Nicolaas Jonkman ◽  
Riccardo Taormina
Keyword(s):  
Deep Learning ◽  
Real Time ◽  
Case Studies ◽  
Flood Risk ◽  
Numerical Models ◽  
Flood Mapping ◽  
Future Research ◽  
Learning Models ◽  
Research Directions ◽  
Future Research Directions

Abstract. Deep Learning techniques have been increasingly used in flood risk management to overcome the limitations of accurate, yet slow, numerical models, and to improve the results of traditional methods for flood mapping. In this paper, we review 45 recent publications to outline the state-of-the-art of the field, identify knowledge gaps, and propose future research directions. The review focuses on the type of deep learning models used for various flood mapping applications, the flood types considered, the spatial scale of the studied events, and the data used for model development. The results show that models based on convolutional layers are usually more accurate as they leverage inductive biases to better process the spatial characteristics of the flooding events. Traditional models based on fully-connected layers, instead, provide accurate results when coupled with other statistical models. Deep learning models showed increased accuracy when compared to traditional approaches and increased speed when compared to numerical methods. While there exist several applications in flood susceptibility, inundation, and hazard mapping, more work is needed to understand how deep learning can assist real-time flood warning during an emergency, and how it can be employed to estimate flood risk. A major challenge lies in developing deep learning models that can generalize to unseen case studies and sites. Furthermore, all reviewed models and their outputs, are deterministic, with limited considerations for uncertainties in outcomes and probabilistic predictions. The authors argue that these identified gaps can be addressed by exploiting recent fundamental advancements in deep learning or by taking inspiration from developments in other applied areas. Models based on graph neural networks and neural operators can work with arbitrarily structured data and thus should be capable of generalizing across different case studies and could account for complex interactions with the natural and built environment. Neural operators can also speed up numerical models while preserving the underlying physical equations and could thus be used for reliable real-time warning. Similarly, probabilistic models can be built by resorting to Deep Gaussian Processes.

Management of Risk and Resilience Within Collaborative Business Network

2018 ◽  
pp. 1591-1605
Author(s):  
Ahm Shamsuzzoha
Keyword(s):  
Risk Mitigation ◽  
Future Research ◽  
Business Networks ◽  
Risk And Resilience ◽  
Business Network ◽  
Global Business ◽  
Research Directions ◽  
Future Research Directions ◽  
Potential Risks ◽  
Different Levels

Global business communities are facing tremendous challenges from market places with respect to reduce cost and offer true customized products or services to the end customers. To cope such challenges companies are nowadays considering forming a business network with the objective to achieve several business benefits. However, to execute such business network is not risks free but always facing some problems for its continuation successfully. In such situation, it is necessary to formulate risk mitigation plan and strengthen the resilience within business network. The objective of this article is therefore to identifying and sharing risks within the collaborative business network and proposing necessary mitigating plan and resilience for it. In this research, a framework is also highlighted that provides a structural approach for identifying and assessing potential risks and resilience in business networks and their possible impacts on different levels of collaboration. The study is concluded with future research directions.

scholarly journals Human Interruption Management in Workplace Environments: An Overview

2020 ◽  
Vol 10 (2) ◽  
pp. 5452-5458
Author(s):  
M. Alkahtani ◽  
M. H. Abidi ◽  
A. Ahmad ◽  
S. Darmoul ◽  
S. Samman ◽  
...  
Keyword(s):  
Human Performance ◽  
Management Strategies ◽  
Work Environments ◽  
Decision Makers ◽  
Future Research ◽  
Research Directions ◽  
Workplace Environments ◽  
Interruption Management ◽  
Future Research Directions

Interruptions are unexpected breaks that introduce new tasks on top of ongoing activities. In work environments, interruptions occur when operators and decision-makers have to deal simultaneously with several stimuli and information sources and have to make decisions so as to maintain the flow of activities at a satisfactory level of performance or quality of service. The causes and effects of interruptions and their subsequent management strategies in workplace environments have been researched in the past, however, only a few review articles are available to report on current advances in this area, to analyze contributions, and to highlight open research directions. This paper offers an up-to-date review and a framework for interruptions and interruption management strategies. The current approaches to identify, report, and manage interruptions in a variety of workplace environments are reviewed and a description of environmental characteristics that favor the occurrence of interruptions and influence interruption management in workplace environments is provided. Various approaches to classify and model the different types of interruptions and their cause-consequence relationships are discussed and the strategies to manage interruptions and approaches to measure human performance when dealing with interruptions are analyzed. Based on these insights, several guidelines to manage interruptions in workplace environments are provided, and future research directions are highlighted.

scholarly journals Toward a Pluralistic Conception of Resilience

2019 ◽  
Author(s):  
Matteo Convertino ◽  
James Valverde
Keyword(s):  
Global Environmental Change ◽  
Future Research ◽  
Information Network ◽  
Risk And Resilience ◽  
Research Directions ◽  
Diverse Range ◽  
Formal Schemes ◽  
Global Environmental ◽  
Future Research Directions ◽  
Primary Focus

The concept of resilience occupies an increasingly prominent position within contemporary efforts to confront many of modernity's most pressing challenges, including global environmental change, famine, infrastructure, poverty, and terrorism, to name but a few. Received views of resilience span a broad conceptual and theoretical terrain, with a diverse range of application domains and settings. In this paper, we identify several foundational tenets --- dealing primarily with intent/intentionality and uncertainty --- that are seen to underlie a number of recent accounts of resilience, and we explore the implications of these tenets for ongoing attempts to articulate the rudiments of an overarching resilience paradigm. Firstly, we explore the complemental nature of risk and resilience, looking, initially, at the role that linearity assumptions play in numerous resilience frameworks found in the literature. We then explore the limitations of these assumptions for efforts directed at modeling risk and resilience in complex domains. These discussions are then used to motivate a pluralistic conception of resilience, drawing inspiration and content from a broad range of sources and empirical domains, including information, network, and decision theories. Secondly, we sketch the rudiments of a framework for engineered resilience, the primary focus of which is the exploration of the fundamental challenges that system design and system performance pose for resilience managers. The conception of engineered resilience set forth here also considers how challenges concerning time and predictability should factor explicitly into the formal schemes that are used to represent and model resilience. Finally, we conclude with a summary of our findings, and we provide a brief sketch of possible future research directions.

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