Comprehensive Assessment of Water Inrush Risk in Deep Mining of Beiminghe Iron Mine

2011 ◽  
Vol 261-263 ◽  
pp. 1348-1354
Author(s):  
Chang Hong Li ◽  
Li Xin Zhang
Keyword(s):  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Water Pressure ◽  
Water Inrush ◽  
Fuzzy Comprehensive Evaluation ◽  
Mathematic Model ◽  
Test Field ◽  
Deep Mining ◽  
Hydrogeological Characteristics ◽  
Iron Mine

In view of one-sidedness and the limitations in comprehensive evaluation index for water inrush risk, a variety of factors of water inrush induced by deep mining of Beiminghe iron mine are analyzed from hydrogeological characteristics, structural characteristics and mining. Faulted structure, water storage capacity, water pressure, water-resisting layer, miming effect and the change of stress in surrounding rock of two levels of deep mining in mine area are quantized by rock permeability test, field pumping test and finite element numerical analysis. Mathematic model of risk assessment of water inrush in deep mining of Beiminghe iron mine is established by using fuzzy comprehensive evaluation method. Quantitative assessment of water inrush risk is carried out to obtain the value of rank tendency for water inrush risk through that mathematic model.

Entropy Weight-Fuzzy Comprehensive Evaluation Method of the Safety Evaluation of Water Inrush

2013 ◽  
Vol 868 ◽  
pp. 300-305 ◽  
Author(s):  
Tian Jun Zhang ◽  
Jin Hu Ren ◽  
Sheng Hong Yu ◽  
Wei Cui
Keyword(s):  
Risk Assessment ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Water Inrush ◽  
Safety Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Actual Situation ◽  
Entropy Weight ◽  
Fuzzy Comprehensive Evaluation Method ◽  
Comprehensive Evaluation Method

For the accuracy of the inrush risk assessment of the problem, put forward in the mine inrush risk assessment using the entropy weight fuzzy comprehensive evaluation method to determine the index weight, through the membership function in fuzzy comprehensive evaluation to quantify the qualitative description of these factors, evaluated the henan jiaozuo mine inrush risk. The results show that the mine water inrush risk grade is "great", the actual mine water inrush accidents have occurred, prediction results conform to the actual situation, and safety evaluation value based on the principle of maximum membership degree is more than analytic hierarchy - fuzzy comprehensive evaluation to get , 0.0696. Thus, the method in the mine inrush prediction can objectively and accurately reflect the actual situation of mine inrush.

scholarly journals The hydrochemical characteristics and quality assessment of groundwater in Shuangliao City, China

2019 ◽  
Vol 98 ◽  
pp. 01034 ◽  
Author(s):  
Mingjun Liu ◽  
Changlai Xiao ◽  
Xiujuan Liang
Keyword(s):  
Groundwater Quality ◽  
Human Activities ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Hydrochemical Characteristics ◽  
Analytic Hierarchy ◽  
Liaohe River ◽  
Geological Conditions ◽  
Type Water

In this study, a hydrochemical investigation was conducted in Shuangliao city to identify the hydrochemical characteristics and the quality of groundwater using descriptive statistics and correlation matrices. And on that basis, combined with Analytic hierarchy process (AHP), an improved two-level fuzzy comprehensive evaluation method is used to evaluate the groundwater quality. The results indicate that the major cations and anions in groundwater are Ca2+ and HCO3-, respectively. The chemical types are mainly HCO3—Ca type water, some areas are complicated due to the influence of human activities. The evaluation results show that the water quality in the area is mostly III type water, and the groundwater quality in some areas is IV or V water due to the influence of primary geological conditions or human activities. The groundwater quality in the East Liaohe River Valley and Shuangliao urban area is relatively poor, and in the northwest part which is the saline alkali soil area is also relatively poor.

Risk early warning management and intelligent real-time system of financial enterprises based on fuzzy theory

2020 ◽  
pp. 1-11
Author(s):  
Qiaoying Ding
Keyword(s):  
Real Time ◽  
Early Warning ◽  
Financial Risk ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Real Time System ◽  
Enterprise Risk ◽  
Early Warning Management

The financial market is changing rapidly. Since joining the WTO, our country’s financial companies have faced pressure from dual competition at domestic and abroad. The complex internal and external environment has forced financial enterprise managers to improve risk prevention awareness, early warning and monitoring, so as to responding to emergencies and challenges in the financial market. However, traditional forecasting and analysis methods have problems such as large workload, low efficiency, and low accuracy. Therefore, this article applies intelligent computing to the forecast of financial markets, using related concepts of fuzzy theory and Internet intelligent technology, and proposes to establish a model system for financial enterprise risk early warning management and intelligent real-time monitoring based on fuzzy theory. This article first collected a large amount of data through the literature investigation method, and made a systematic and complete introduction to the related theoretical concepts of fuzzy theory and financial risk early-warning management, has laid a sufficient theoretical foundation for the subsequent exploration of the application of fuzzy theory in financial enterprise risk early warning management and intelligent real-time systems; Then a fuzzy comprehensive evaluation method that combines the analytic hierarchy process and fuzzy evaluation method is proposed, taking a listed company mainly engaged in automobile sales in our province as a case, the company’s financial risk management and modeling experiment of the intelligent real-time system; Finally quoted specific cases again, used the fuzzy comprehensive evaluation method to carry out risk warning and evaluation on the PPP projects of private enterprises in our province, and concluded that the project risk score is between 20-60, which is meet the severe-medium range in the risk level. Research shows that the use of fuzzy theory and modern network technology can make more accurate warnings and assessments of potential and apparent risks of financial enterprises, greatly improving the safety of financial enterprise management and reducing the losses caused by various risks.

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