A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems

Zhou, Jian-Lan; Bai, Ze-Hua; Sun, Ziheng

doi:10.1016/j.ssci.2013.12.008

Cited by 60 publications

(28 citation statements)

References 25 publications

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“…Based on field studies, expert interviews and a literature review [18,19,[33][34][35][36][37][38][39][40], we decomposed the three subsystems separately, then the complex sustainability risk-related factors and the quantitative dimensions (equivalent to the attributes for the sustainability risk-related factors) for large-scale hydropower projects were summarized. This method of dividing the system into subsystems first and then decomposing the subsystems separately according to the system layers can ensure scientific rigour of the evaluation system, comprehensive identification of the evaluation indicators, and accuracy in the risk-related factor evaluations.…”

Section: Sustainability Risk-related Factorsmentioning

confidence: 99%

Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty

Tang

2018

Sustainability

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As large-scale hydropower projects are influenced by many factors, risk evaluations are complex. This paper considers a hydropower project as a complex system from the perspective of sustainability risk, and divides it into three subsystems: the natural environment subsystem, the eco-environment subsystem and the socioeconomic subsystem. Risk-related factors and quantitative dimensions of each subsystem are comprehensively analyzed considering uncertainty of some quantitative dimensions solved by hybrid uncertainty methods, including fuzzy (e.g., the national health degree, the national happiness degree, the protection of cultural heritage), random (e.g., underground water levels, river width), and fuzzy random uncertainty (e.g., runoff volumes, precipitation). By calculating the sustainability risk-related degree in each of the risk-related factors, a sustainable risk-evaluation model is built. Based on the calculation results, the critical sustainability risk-related factors are identified and targeted to reduce the losses caused by sustainability risk factors of the hydropower project. A case study at the under-construction Baihetan hydropower station is presented to demonstrate the viability of the risk-evaluation model and to provide a reference for the sustainable risk evaluation of other large-scale hydropower projects.

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Section: Sustainability Risk-related Factorsmentioning

confidence: 99%

Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty

Tang

2018

Sustainability

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“…Com base nas literaturas nacionais e internacionais (Martins et al, 2005;Sánchez, 2008;Xavier, 2011;Novais, 2011;Silva et al, 2007Silva et al, , 2011Zaidan, 2011;Sharafi et al, 2012;Bernardi et al, 2013;Reis et al, 2013;Zhao et al, 2013;Zhou et al, 2014)…”

Section: Estrutura Do Modelounclassified

Integração Do Método Ahp E Sig Como Instrumento De Análise Do Nível De Conservação Ambiental Em Bacias Hidrográficas

Gomes

Bias

2018

Geociencias

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O presente trabalho teve como objetivo principal determinar o nível de conservação da bacia do Rio Melchior, DF, Brasil. Para isso, foi desenvolvido um modelo para identificação do nível de conservação dessa, com alternativas e critérios do meio físico e social. Os critérios e alternativas do modelo passaram por um processo de julgamento de pesos por meio do método multicritério Analytic Hierachy Process (AHP). Para auxiliar este método de avaliação e dos cálculos dos pesos atribuídos, foi utilizado o Software Expert Choice versão 3.01. Na elaboração do produto temático um mapa do nível de conservação utilizou a operação conhecida como álgebra de mapas, que faz uso de funções matemáticas com constante escalar ou o simples uso de uma operação aritmética. As operações algébricas com os mapas foram feitas de acordo com os pesos definidos e estabelecidos pelo AHP. Os resultados da integração do AHP e Sistema de Integração Geográfica (SIG) mostraram que as variáveis relacionadas ao meio físico (uso do solo, pluviosidade, pedologia e declividade) do meio social (água, esgoto e lixo) permitiram conhecer o Nível de Conservação Ambiental da Bacia. Dessa forma, as variáveis apresentadas no estudo foram eficientes para diagnosticar a fragilidade da bacia e fornecer indicativos para tomada de decisão.

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“…The broad structure of HFACS includes four main levels of investigation: unsafe acts, preconditions for unsafe acts, unsafe supervision, and organizational influences. While using the HFACS framework, we considered the characteristics of hydropower plant construction accidents to adjust the model, in combination with other reference works [24,25], construction safety standards established by the state (http://www.gov.cn/zwgk/2005-05/23/content 183.htm), and actual construction accident data to reformulate some of the index factors, and ensure that each factor in the framework has a certain generality and independence. The most important advantage of the presented framework is that it can reflect the characteristics of hydropower plant construction and conforming to the standard of safety production in engineering construction industry (http://www.mohurd.gov .cn/zcfg/jsbwj 0/jsbwjgczl/201408/t20140819 218740.html).…”

Section: Evaluation Index System Framework the Human Factorsmentioning

confidence: 99%

A Hybrid Approach for Evaluating Faulty Behavior Risk of High‐Risk Operations Using ANP and Evidence Theory

Zheng

Wang

Zhou

2017

Mathematical Problems in Engineering

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Hydropower project construction is a high-risk operation, where accidents occur frequently. Moreover, the factors leading to accidents are often human factors, so safety evaluation of these factors for the hydropower projects' work system is very significant. The Human Factors Analysis and Classification System (HFACS) framework is applied to build evaluation system. In the evaluation process, correlation analysis is used to form the intercriteria analysis matrix that helps the decision makers to build impact relation matrix. Factor weights are calculated by the Analytic Network Process (ANP). In the index value determination step, the evidence theory is used to eliminate the conflicts of three decision makers and the index values are then calculated. The faulty behavior risk (FBR) assessment value is finally obtained. The proposed method is practical and its applicability is proved by an example.

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A hybrid approach for safety assessment in high-risk hydropower-construction-project work systems

Cited by 60 publications

References 25 publications

Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty

Sustainability Risk Evaluation for Large-Scale Hydropower Projects with Hybrid Uncertainty

Integração Do Método Ahp E Sig Como Instrumento De Análise Do Nível De Conservação Ambiental Em Bacias Hidrográficas

A Hybrid Approach for Evaluating Faulty Behavior Risk of High‐Risk Operations Using ANP and Evidence Theory

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