Geo-environmental impact assessment and management information system for the mining area, Northeast China

Zhang, Yu; Lu, Wenxi; Guo, Jian; Zhao, Haiqing; Yang, Qingchun; Chen, Mo

doi:10.1007/s12665-015-4695-x

Cited by 10 publications

(12 citation statements)

References 18 publications

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“…The method for landslide susceptibility mapping could be applied as one of the metrics of intrinsic environmental vulnerability of mountain areas in environmental impact assessment. In particular, the development of an integrated mapping tool can complement other methods already available from the literature and be applied to the sustainable development of projects and planning, due to its ability in evidencing the vulnerability of a territory with a sufficiently high spatial resolution and accuracy [75,76]. A further integration with other online tools could also serve as a basis for information sharing along the process of policy implementation by applying a bottom-up approach, as already suggested by the literature [77].…”

Section: Discussionmentioning

confidence: 99%

Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment

Turconi

Luino

Gussoni³

et al. 2019

Sustainability

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This work investigated the susceptibility factors that trigger shallow landslides. In particular, the objective of the research was the implementation of a method to determine the relevant factors that can trigger shallow landslide events. However, with respect to the existing methods, the integration with historical datasets and the inclusion of spatial factors displaying dynamics in the same characteristic timescales were specific features of the developed tool. The study area included the watersheds of the Sessera and Strona rivers in the alpine area of the Province of Biella (Piedmont, NW Italy). The method was developed and tested from two sub-datasets derived from an integrated dataset that referred to an intense event, involving the same area, that occurred in 1968 (2–3 November). This allowed the implementation of an integrated representation of landslides’ predisposing factors and the identification and classification in different groups of the areas susceptible to geo-hydrological instability processes. The previously existing databases were verified and integrated into a geographic information system (GIS) environment, giving a potentially sharable source of information for planning purposes. The obtained maps represent a metric of one of the possible intrinsic environmental vulnerability factors for the area under study. Consequently, this method can represent a future instrument for determining the intrinsic environmental vulnerability dependent on landslides within an environmental impact assessment (EIA), as required by the most recent European regulation on EIA. Moreover, the shared information can be used to implement informed policy and planning processes, based on a bottom-up approach. In particular, the availability online of landslide susceptibility maps could support the generation of augmented information—useful for both local administrators and planners as well as for stakeholders willing to implement specific projects or infrastructure in vulnerable areas, such as mountains.

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Section: Discussionmentioning

confidence: 99%

Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment

Turconi

Luino

Gussoni³

et al. 2019

Sustainability

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“…There are many risk assessment methods specifically dedicated to evaluating industrial or mining safety, for example fuzzy logic [16][17][18], nature inspired intelligence [19], neural networks [20,21], set pair analysis [22,23], the cloud model [24,25], grey system theory [26], and the analytic hierarchy process (AHP) [27]. Shi et al [28] suggested grey-fuzzy evaluation integrated with grey statistics, AHP, grey correlation analysis (GCA), and fuzzy judgment for assessing the eco-environment vulnerability.…”

Section: Introductionmentioning

confidence: 99%

Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

Dong

Wei

et al. 2020

Electronics

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Improving safety management and risk evaluation methods is important for the global mining industry, which is the backbone of the industrial development of our society. To prevent any accidental loss or harm to human life and property, a safety risk assessment method is needed to perform the continuous risk assessment of mines. Based on the requirements of mine safety evaluation, this paper proposes the Pb-Zn mine safety risk evaluation model based on the fuzzy-grey correlation analysis method. The model is compared with the risk assessment model based on the fuzzy TOPSIS method. Through the experiments, our results demonstrate that the proposed fuzzy-grey correlation model is more sensitive to risk and has less effect on the evaluation results under different scoring attitudes (cautious, rational, and relaxed).

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“…Some scholars focus on a variety of risk assessment methods, such as the fuzzy evaluation method [ 10 – 12 ], neural network [ 13 , 14 ], set pair analysis [ 15 – 17 ], cloud model [ 18 – 20 ] and gray system theory [ 21 , 22 ]. Niknejad [ 10 ] had set up a fuzzy arithmetic for strategic risk management in global production networks, and the risk impacts on the inoperability of alternative global production network configurations, considering different risk scenarios, had been analyzed.…”

Section: Introductionmentioning

confidence: 99%

“…Niknejad [ 10 ] had set up a fuzzy arithmetic for strategic risk management in global production networks, and the risk impacts on the inoperability of alternative global production network configurations, considering different risk scenarios, had been analyzed. Zhang [ 14 ] had established a comprehensive assessment model based on a fuzzy neural network to evaluate the environmental impact of mining areas, and the results showed that 7.5% of the studied regional mine sites were heavily damaged. Wang [ 15 ] had applied a set pair analysis for risk assessment for inrushing water, and the risk level of water intrusion in the Jigongling tunnel is high.…”

Section: Introductionmentioning

confidence: 99%

“…The traditional safety assessment methods, such as the fuzzy evaluation method [ 10 – 12 ], neural network [ 13 , 14 ], set pair analysis [ 15 – 17 ] and cloud model [ 18 – 20 ], also including gray relational analysis [ 32 ], these methods can only identify the risk level and weak links of the evaluation object through the risk analysis, but cannot offer specific rectification measures for identified weak links. as they do not take advantage of evaluation results to promote effective, safe production.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Mine safety assessment using gray relational analysis and bow tie model

2018

PLoS ONE

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Mine safety assessment is a precondition for ensuring orderly and safety in production. The main purpose of this study was to prevent mine accidents more effectively by proposing a composite risk analysis model. First, the weights of the assessment indicators were determined by the revised integrated weight method, in which the objective weights were determined by a variation coefficient method and the subjective weights determined by the Delphi method. A new formula was then adopted to calculate the integrated weights based on the subjective and objective weights. Second, after the assessment indicator weights were determined, gray relational analysis was used to evaluate the safety of mine enterprises. Mine enterprise safety was ranked according to the gray relational degree, and weak links of mine safety practices identified based on gray relational analysis. Third, to validate the revised integrated weight method adopted in the process of gray relational analysis, the fuzzy evaluation method was used to the safety assessment of mine enterprises. Fourth, for first time, bow tie model was adopted to identify the causes and consequences of weak links and allow corresponding safety measures to be taken to guarantee the mine’s safe production. A case study of mine safety assessment was presented to demonstrate the effectiveness and rationality of the proposed composite risk analysis model, which can be applied to other related industries for safety evaluation.

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Geo-environmental impact assessment and management information system for the mining area, Northeast China

Cited by 10 publications

References 18 publications

Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment

Intrinsic Environmental Vulnerability as Shallow Landslide Susceptibility in Environmental Impact Assessment

Safety Risk Assessment of a Pb-Zn Mine Based on Fuzzy-Grey Correlation Analysis

Mine safety assessment using gray relational analysis and bow tie model

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