Evaluation Index System and Grading Standard for Major Hazard Source of Tailings Pond

2018 4th International Conference on Environmental Science and Material Application

生态环境科学;材料科学

Xin, Baoquan^1^2 ; Wan, Lu^1^2

SINOPEC Research Institute of Safety Engineering, Qingdao

266071, China^1

State Key Laboratory of Safety and Control for Chemicals, Qingdao

266101, China^2

关键词: Characteristic value;    Comprehensive analysis methods;    Correlation degree;    Evaluation index system;    Evaluation matrices;    Relative risk indices;    Risk classification;    Seismic intensity;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/252/5/052156/pdf
DOI  :  10.1088/1755-1315/252/5/052156

来源: IOP

【 摘 要 】

It is to determine the evaluation index and grading standard of the major hazard sources of the tailings pond, so as to facilitate the risk classification management. According to the internal safety mechanism and relevant standards of the tailings pond, the evaluation index is divided into 3 levels. The system consists of 20 specific indicators, which are inherent risk indicators and affiliated risk indicators. In addition, the evaluation index method is used to quantify the grading standard through the evaluation matrix. Analysis results show that the indexes affecting the safety of tailings pond mainly include the hazard types of tailings pond, total capacity, dam height, safety degree, flood discharge system and seismic intensity. According to the comprehensive analysis method and the correlation degree analysis theory, the characteristic value and relative risk index of the evaluation index were quantified, and the results were all changed in 1∼9. Based on the expert scoring method and the improved analytic hierarchy process, the weight of the 20 evaluation indexes for the overall hazard assessment of the tailings pond is determined. According to the evaluation index of each characteristic value of the evaluation index P, the major hazard sources of the tailings pond are divided into 4 levels. The results can provide a basis for enterprises to identify, classify and declare major hazard sources of tailings, and to provide the basis for the government's hierarchical supervision.