Abstract:Electricity networks in Finland are subject to adverse winter weather, particularly a combination of heavy snowfall with strong winds, causing electricity outages especially in the rural areas. The severe consequences of such events require that electricity distributors and the entire network of stakeholders establish a proactive risk management for achieving enhanced situational awareness during adverse weather events, efficient and effective recovering after electricity outage as well as improved preparednes… Show more
“…10 multi-purpose forest machines cleared the trees. More than a hundred of the electric company's own employees took part in the work during that weekend [14,32].…”
Section: Creating Stakeholder Value Through Risk Mitigation Measuresmentioning
confidence: 99%
“…RMM that were identified by the experts in the case study include heavy underground cabling of power lines, increased network automation, remote controls, and movable reserve power units. Much attention has been drawn to co-operation between utilities and authorities, and making an up-to-date situation report open for all parties [14,60]. Thus, there were both "hard" measures, such as infrastructure investments and non-structural measures, such as small-scale mitigation actions, monitoring and warning systems, and emergency response capacities (see Table 2).…”
mentioning
confidence: 99%
“…Table 2. Examples of risk mitigation measures identified in the case study to improve the resilience of electricity distribution networks against extreme weather events (EWE) [14,20,60]. The measure specific valuation was determined based on a fixed value system with the aim of increasing the objectivity.…”
mentioning
confidence: 99%
“…Based on the assessment, the most important RMM were mutual planning and training, underground cabling, ICT systems, and forming and disseminating situational awareness. The main parties that are involved in EWE related disaster management in Finland are authorities at distinct levels, emergency organizations, private parties, as well as non-governmental voluntary organizations [14]. To maximize the effectiveness of the disaster management, all of these stakeholders already work together before an EWE in order to develop plans for managing and employing resources in a variety of possible emergency circumstances.…”
Abstract:The resilience of critical infrastructure (CI) to extreme weather events (EWE) is one of the most demanding challenges for all stakeholders in modern society. Although partial risk reduction is feasible through the introduction and implementation of various risk mitigation measures (RMM), decision-makers at all decision-making levels are pressured to find ways to cope with the impending extreme weather and to have a thorough understanding of the EWE impacts on CI. This paper discusses how the value of RMMs can be created and assessed in a stakeholder network. Qualitative research methods, namely literature review and AHP (Analytic Hierarchy Process), were applied as research methods. The paper examines how disaster management and value creation both converge and differ from each other. It also presents a case study on the value of various RMM and the impacts of extreme winter conditions on electricity distribution in Finland. Based on the case study, the most important value criterion was the benefits of the RMM in economic, social, and environmental terms. At a fundamental level, the value of RMM should be expressed not only in terms of money but also in regard to safety, security, societal acceptability, CI dependability, and other typically intangible criteria. Moreover, the results reveal that the interrelationship of value creation and disaster management offers new insights to both approaches.
“…10 multi-purpose forest machines cleared the trees. More than a hundred of the electric company's own employees took part in the work during that weekend [14,32].…”
Section: Creating Stakeholder Value Through Risk Mitigation Measuresmentioning
confidence: 99%
“…RMM that were identified by the experts in the case study include heavy underground cabling of power lines, increased network automation, remote controls, and movable reserve power units. Much attention has been drawn to co-operation between utilities and authorities, and making an up-to-date situation report open for all parties [14,60]. Thus, there were both "hard" measures, such as infrastructure investments and non-structural measures, such as small-scale mitigation actions, monitoring and warning systems, and emergency response capacities (see Table 2).…”
mentioning
confidence: 99%
“…Table 2. Examples of risk mitigation measures identified in the case study to improve the resilience of electricity distribution networks against extreme weather events (EWE) [14,20,60]. The measure specific valuation was determined based on a fixed value system with the aim of increasing the objectivity.…”
mentioning
confidence: 99%
“…Based on the assessment, the most important RMM were mutual planning and training, underground cabling, ICT systems, and forming and disseminating situational awareness. The main parties that are involved in EWE related disaster management in Finland are authorities at distinct levels, emergency organizations, private parties, as well as non-governmental voluntary organizations [14]. To maximize the effectiveness of the disaster management, all of these stakeholders already work together before an EWE in order to develop plans for managing and employing resources in a variety of possible emergency circumstances.…”
Abstract:The resilience of critical infrastructure (CI) to extreme weather events (EWE) is one of the most demanding challenges for all stakeholders in modern society. Although partial risk reduction is feasible through the introduction and implementation of various risk mitigation measures (RMM), decision-makers at all decision-making levels are pressured to find ways to cope with the impending extreme weather and to have a thorough understanding of the EWE impacts on CI. This paper discusses how the value of RMMs can be created and assessed in a stakeholder network. Qualitative research methods, namely literature review and AHP (Analytic Hierarchy Process), were applied as research methods. The paper examines how disaster management and value creation both converge and differ from each other. It also presents a case study on the value of various RMM and the impacts of extreme winter conditions on electricity distribution in Finland. Based on the case study, the most important value criterion was the benefits of the RMM in economic, social, and environmental terms. At a fundamental level, the value of RMM should be expressed not only in terms of money but also in regard to safety, security, societal acceptability, CI dependability, and other typically intangible criteria. Moreover, the results reveal that the interrelationship of value creation and disaster management offers new insights to both approaches.
“…In the forestry sector, winter storms and unfrozen land expose spruce forests to storm damage as the spruces' roots are torn from the ground [3]. Fallen trees may also sever power lines or railway catenary causing disruptions in the electricity supply [4,5]. A rainy winter with no deep-rooted vegetation exposes roads and railways to erosion faster than ever before [6].…”
Climate change has had a major impact on the Nordic region. For example, the mean temperature rise is expected to be 4-6°C by 2080. In Finland, the regional authorities are responsible for climate change adaptation. Some of the most vulnerable sectors include energy, tourism, transport and water supply. Currently, it appears that the authorities are not familiar with the tools for assessing climate risks and lack knowledge about the impact of climate change. In this paper, we provide a review of risk assessment methods and decision-making tools, focusing on adapting to climate change in a Finnish context. Our research method comprises a systematic qualitative literature review dealing with relevant journals, dissertations and deliverables of relevant EU projects since 2005.
Recent developments in remote sensing have shown that snow depth can be estimated accurately on a global scale using satellite images through cross-polarization and copolarization backscatter measurements. This method does however have some limitations in low-land areas with dense forest coverage and shallow snow, that is often found nearby urban areas. In these areas, citizen observations can be fused with satellite-based estimations to deliver more accurate solutions. To that end, we use snow-related tweets that have been annotated by artificial intelligence (AI) methods and are introduced in a novel neural network model, aiming to increase the estimation accuracy of the state-of-the-art remote sensing method. The proposed model combines the estimated snow depth from Sentinel 1 images with the number of Twitter posts and Twitter images that are semantically relevant to snow. The use of instant social media data for purposes of snow depth estimation is investigated, validated and tested in Finland. Our results show that this approach does improve the snow depth estimation, highlighting its potential for use in civil protection agencies in managing snow conditions.
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