Research progress on vulnerability: from theoretical research to comprehensive practice

Fei, 杨飞 Yang; Chao, 马超 Ma; Huajun, 方华军 Fang

doi:10.5846/stxb201802020289

Cited by 12 publications

(6 citation statements)

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“…Qualitative vulnerability assessment is often carried out by means of inductive and comparative analysis. Vulnerability assessment based on the inductive approach is usually driven by past empirical data and field research materials to explore the growth pattern and development characteristics of the vulnerability of the research object, so as to predict and analyze the future development trend of vulnerability [35]. Vulnerability assessment based on the comparative method is based on comparing two types of interrelated data, and extrapolating the patterns and trends of one type of data from the evolution of the other [44].…”

Section: Qualitative Assessment Methodsmentioning

confidence: 99%

“…The layer superimposition method [73] allows for both qualitative and quantitative analysis [35], by superimposing layers representing different vulnerability elements or layers representing different forms of disturbance, and thus visually capturing the spatial distribution of vulnerability in terms of form and state of difference.…”

Section: Layer Superimposition Methodsmentioning

confidence: 99%

“…Vulnerability is generally considered to encompass not only the probability of damage to the structure under disturbance in fragility (i.e., vulnerability), but also the ability to adapt to disturbance conditions through potential state parameters that can be changed and adjusted [35].…”

Section: Vulnerability and Fragilitymentioning

confidence: 99%

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State of the Art of Oil and Gas Pipeline Vulnerability Assessments

Zhang

Feng²,

Yan³

et al. 2023

Energies

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In recent years, the safety of oil and gas pipelines has become a primary concern for the pipeline industry. This paper presents a comprehensive study of the vulnerability concepts that may be used to measure the safety status of pipeline systems. The origins of the vulnerability concepts are identified, the development and evolution of the vulnerability concepts are described, and the main connotations of the four levels of vulnerability concepts applied in different fields at this stage are summarized. Qualitative and quantitative methods of vulnerability assessment are comprehensively investigated, and the advantages and disadvantages, scope of application and key issues faced are compared and summarized. The research and analysis show that the vulnerability assessment of oil and gas pipelines is at a preliminary stage, and there is an urgent demand to establish a unified vulnerability concept and assessment system for oil and gas pipeline systems. The current qualitative or semi-quantitative assessment of pipeline vulnerability research lacks reasonable and scientific standards and bases for the classification of indicators and the determination of indicator scores, and it needs to focus on the establishment and improvement of quantitative assessment models.

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Section: Qualitative Assessment Methodsmentioning

confidence: 99%

Section: Layer Superimposition Methodsmentioning

confidence: 99%

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State of the Art of Oil and Gas Pipeline Vulnerability Assessments

Zhang

Feng²,

Yan³

et al. 2023

Energies

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“…Using the region of Zhu Jiang River in China as a research object, Kang (2015) constructed a linear calculation model between natural disaster loss in cultivated land and cultivated land area, submerged height and disaster loss rate [8]. Yang (2019) pointed out that research on disaster management in recent years has been gradually shifting from the large-scale areas to the small-scale areas, as disaster management in small-scale areas was found to have better practical guiding significance [9]. To the best of our knowledge, there is no published research on forecasting waterlogging economic loss in a subway station project.…”

Section: Related Workmentioning

confidence: 99%

A Method for Prediction of Waterlogging Economic Losses in a Subway Station Project

Wang

2021

Mathematics

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In order to effectively solve the problems of low prediction accuracy and calculation efficiency of existing methods for estimating economic loss in a subway station engineering project due to rainstorm flooding, a new intelligent prediction model is developed using the sparrow search algorithm (SSA), the least-squares support vector machine (LSSVM) and the mean impact value (MIV) method. First, in this study, 11 input variables are determined from the disaster loss rate and asset value, and a complete method is provided for acquiring and processing data of all variables. Then, the SSA method, with strong optimization ability, fast convergence and few parameters, is used to optimize the kernel function and the penalty factor parameters of the LSSVM. Finally, the MIV is used to identify the important input variables, so as to reduce the predicted input variables and achieve higher calculation accuracy. In addition, 45 station projects in China were selected for empirical analysis. The empirical results revealed that the linear correlation between the 11 input variables and output variables was weak, which demonstrated the necessity of adopting nonlinear analysis methods such as the LSSVM. Compared with other forecasting methods, such as the multiple regression analysis, the backpropagation neural network (BPNN), the BPNN optimized by the particle swarm optimization, the BPNN optimized by the SSA, the LSSVM, the LSSVM optimized by the genetic algorithm, the PSO-LSSVM and the LSSVM optimized by the Grey Wolf Optimizer, the model proposed in this paper had higher accuracy and stability and was effectively used for forecasting economic loss in subway station engineering projects due to rainstorms.

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“…In recent years, with the massive gathering of population and industries, the increasing shortage of water resources, fluctuations in food supply, dramatic increase in energy demand, and damage to ecological functions have become increasingly severe, and the water, energy, food, and ecological nexus systems have emerged with prominent vulnerability characteristics. Vulnerability is a comprehensive concept that includes risk, sensitivity, adaptability, resilience, resilience and other related elements, and there is no clear boundary between the components (Yang et al, 2019). The widely accepted elements of vulnerability are exposure, sensitivity, and adaptive capacity, as indicated in the IPCC report (IPCC, 2001).…”

Section: Introductionmentioning

confidence: 99%

Identification of key brittleness factors and multi-scenario analysis of the water-energy-food-ecology nexus vulnerability based on NRS-BN

Chen,

Pan,

Geng

2023

Front. Environ. Sci.

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Water, energy and food are the basic resources on which human beings depend for survival. With the intensification of human activities, the demand for resources represented by water, energy and food continues to increase, resulting in increasing pressure on the ecological environment, and the vulnerability of water, energy, food and ecosystem becomes increasingly prominent. Identifying the critical vulnerability factors of the water-energy-food-ecology nexus and formulating targeted management measures have become the key to achieving sustainable development. This paper innovatively proposes to study the water-energy-food-ecology nexus from the perspective of vulnerability for the first time, in which the vulnerability evaluation index system of the water-energy-food-ecology nexus is firstly constructed based on the VSD framework, and the attribute reduction is carried out using neighborhood rough sets. Then, a Bayesian network model is built and parameter learning is performed by combining machine learning and expert experience. Finally, different scenarios are set up to identify the key factors that hinder the vulnerability reduction of the water-energy-food-ecology nexus and obtain the vulnerability probability of the nexus under different scenarios using forward and backward inference and sensitivity analysis of Bayesian networks, overcoming the drawback that many prediction models cannot achieve diagnostic inference. The results show that: 1) from 2008 to 2019, the overall vulnerability of the water-energy-food-ecology nexus in the Yangtze River Economic Belt is low. 2) The key factors at the indicator level that hinder the vulnerability reduction of the water-energy-food-ecology nexus mainly include the storage capacity of water conservancy projects, wastewater discharge per 10,000-yuan GDP, and water consumption per 10,000-yuan GDP, and the subsystem level is water, food, energy and ecology system, in that order. 3) The reduction in vulnerability within an individual subsystem can have a beneficial impact on reducing vulnerability within the water-energy-food-ecology nexus. However, this reduction may also lead to an increase in vulnerability within other subsystems. Therefore, in the process of developing water, energy, food, and ecology system, high priority should be given to the coordinated development of all four.

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Research progress on vulnerability: from theoretical research to comprehensive practice

Cited by 12 publications

References 0 publications

State of the Art of Oil and Gas Pipeline Vulnerability Assessments

State of the Art of Oil and Gas Pipeline Vulnerability Assessments

A Method for Prediction of Waterlogging Economic Losses in a Subway Station Project

Identification of key brittleness factors and multi-scenario analysis of the water-energy-food-ecology nexus vulnerability based on NRS-BN

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