收稿日期: 2019-07-15
修回日期: 2019-11-28
网络出版日期: 2020-05-07
基金资助
国家重点研发计划项目“深部金属矿绿色开采技术集成与示范”(2018YFC0604606)
Discussion on Evaluation Method of Green Mining in Metal Mines
Received date: 2019-07-15
Revised date: 2019-11-28
Online published: 2020-05-07
绿色开采是实现矿山可持续发展的重要措施,如何科学有效地评价金属矿绿色开采的水平,是当前需要解决的重要问题。为了找到合理适用的金属矿绿色开采评价方法,首先详细阐述了当前煤矿和金属矿等所使用的绿色开采评价方法及其适用情况,通过对比分析,得到5种适用于金属矿绿色开采评价的方法,分别是模糊综合评价法、可拓优度法、TOPSIS法、因子分析法和物元分析法;然后运用专家访谈法和灰色关联法,对以上5种评价方法进行了优先度排序。研究结果表明:TOPSIS法最适用于金属矿绿色开采评价,可以为今后的研究提供借鉴,能够为政府和企业提供管理建议。
赵国彦 , 邱菊 , 赵源 , 裴佃飞 , 李洋 , 吴攀 . 金属矿绿色开采评价方法探讨[J]. 黄金科学技术, 2020 , 28(2) : 169 -175 . DOI: 10.11872/j.issn.1005-2518.2020.02.132
The development of resources has caused various environmental problems.The implementation of green mining is an effective way to solve the contradiction between economic growth and environmental crisis.In order to avoid the damage to the ecological environment in the process of mineral resources development,the green mining method are adopted in many mines to achieve the purpose of sustainable development.At present,the green mining of domestic mines is still in its infancy.How to evaluate the level of green mining of metal mines scientifically and effectively and determine the evaluation method of green mining is an important problem to be solved at present.The purpose of this paper is to find a reasonable and suitable method for evaluating the green mining of metal mine.Determining the weight of each evaluation index is an essential step in the process of green mining evaluation.First of all,the relevant literature was summarized.The advantages and disadvantages of the commonly used objective weighting,subjective weighting and combination weighting methods were analyzed.Among these weighting methods,the combination weighting method can not only objectively reflect the importance of each index,but also reflect the decision-maker’s subjective desire,and improve the scientific decision-making,which is recommended to use this weighting method in later research.Secondly,according to the existing research results and the characteristics of metal mining,the fuzzy comprehensive evaluation method,extension optimization method,TOPSIS method,factor analysis method,matter-element analysis method and other evaluation methods suitable for green mining of metal mines were summarized.The applicability,evaluation steps,advantages and disadvantages were elaborated in detail.Researchers can choose different evaluation methods according to specific evaluation objects and characteristics.In order to determine the most suitable evaluation method,the above five evaluation methods were prioritized by using expert interview method and grey correlation method.The results show that TOPSIS method has the advantages of no strict requirements for indicators,flexible application,simple mathematical calculation andquantitative objective.Compared with other four methods,TOPSIS method has the highest priority that is the most suitable for green mining evaluation of metal mines.The research results of this paper can provide reference for future research and management suggestions for the government and enterprises.
Key words: metal mine; green mining; weight; evaluation method; TOPSIS method; grey correlation
1 | 钱鸣高.绿色开采的概念与技术体系[J].煤炭科技,2003(4):1-3. |
1 | Qian Minggao.Technology system and green mining concept[J].Coal Science and Technology Magazine,2003(4):1-3. |
2 | 刘建兴,陈晃,王建法.金属矿山绿色开采综合评价方法及其应用研究[J].有色金属(矿山部分),2018,70(1):86-89. |
2 | Liu Jianxing,Chen Huang,Wang Jianfa.Comprehensive evaluation method and application of green mining in metal mine[J].Non-ferrous Metals (Mine Section),2018,70(1):86-89. |
3 | 付强,韩冰,侯韩芳,等.基于DEA方法的绿色矿山标准效果评估[J].标准科学,2017(8):43-46. |
3 | Fu Qiang,Han Bing,Hou Hanfang,et al.Effect appraisal of standards for green mines based on DEA method[J].Standard Science,2017(8):43-46. |
4 | 王杰民.绿色矿山建设评价指标与方法探讨[J].资源信息与工程,2018,33(6):45-46. |
4 | Wang Jiemin.Discussion on evaluation indexes and methods of green mine construction[J].Resource Information and Engineering,2018,33(6):45-46. |
5 | 梁灵鹏.绿色矿山建设综合评价研究[J].世界有色金属,2019(1):172-174. |
5 | Liang Lingpeng.Study on comprehensive evaluation of green mine construction[J].World Nonferrous Metals,2019(1):172-174. |
6 | 宋子岭,祁文辉,范军富,等.大型露天煤矿绿色开采评价体系研究[J].安全与环境学报,2017,17(3):1177-1182. |
6 | Song Ziling,Qi Wenhui,Fan Junfu,et al.On the establishment of the evaluation system for green mining in large open-pit coal mines[J].Journal of Safety and Environment,2017,17(3):1177-1182. |
7 | 缪海宾.大型露天煤矿绿色开采理论与评价方法[J].煤矿安全,2017,48(9):230-233. |
7 | Miao Haibin.Theory and evaluation method of green mining in large open-pit coal mine[J].Safety in Coal Mines,2017,48(9):230-233. |
8 | 周海林,杨珊,陈建宏.黄金矿山清洁生产评价指标体系研究与应用[J].黄金科学技术,2017,25(5):93-100. |
8 | Zhou Hailin,Yang Shan,Chen Jianhong.Research and application of cleaner production evaluation index system in gold mine[J].Gold Science and Technology,2017,25(5):93-100. |
9 | 陈伟清,张学垚,赵文超,等.基于粗糙集与变异系数法相结合的智慧交通评价体系研究[J].数学的实践与认识,2019,49(2):191-197. |
9 | Chen Weiqing,Zhang Xueyao,Zhao Wenchao,et al. A study on the intelligent traffic evaluation system based on the combination of rough set and coefficient of variation [J].Mathematics in Practice and Theory,2019,49(2):191-197. |
10 | 邓天奇.基于客观组合赋权的供水管网健康度多级综合评价模型研究[D].广州:广东工业大学,2018. |
10 | Deng Tianqi.Research on Multi-level Comprehensive Evaluation Model of Health Degree of Water Distribution Network Based on Objective Combination and Weighting[D].Guangzhou:Guangdong University of Technology,2018. |
11 | 胡娱欧.基于改进的模糊层次分析法的输电网规划综合评价研究[D].北京:华北电力大学(北京),2016. |
11 | Hu Yu’ou.Study on Comprehensive Evaluation of Transmission Grid Planning Based on Improved Fuzzy-AHP[D].Beijing:North China Electric Power University(Beijing),2016. |
12 | 王君莉.煤矿电气火灾危险性评价指标权重分配算法研究[J].煤矿机械,2017,38(7):40-42. |
12 | Wang Junli.Weight assignment of evaluation indexes for electrical fire of coal mine[J].Coal Mine Machinery,2017,38(7):40-42. |
13 | 许军良,苏律文,仲晓林,等.基于博弈论思想的河流健康指标权重分配研究[J].江苏水利,2018(12):14-19. |
13 | Xu Junliang,Su Lüwen,Zhong Xiaolin,et al.Study on weight distribution of river health index based on game theory[J].Jiangsu Water Resources,2018(12):14-19. |
14 | 龚大立.组合赋权法在煤矿安全风险分析中的应用[J].工矿自动化,2018,44(10):94-99. |
14 | Gong Dali.Application of combination weighting method in coal mine safety risk analysis[J].Industry and Mine Automation,2018,44(10):94-99. |
15 | 李小伟,徐以艳,郭飞,等.基于主客观综合赋权的矿业遗迹可拓学评价[J].三峡大学学报(自然科学版),2018,40(6):71-74. |
15 | Li Xiaowei,Xu Yiyan,Guo Fei,et al.Extension evaluation of mine heritages based on objective and subjective synthetic approach[J].Journal of China Three Gorges Uni-versity(Natural Sciences),2018,40 (6):71-74. |
16 | 张振兴,刘艳辉,袁广祥.地质灾害承灾载体脆弱性评价方法综述[J].中国地质灾害与防治学报,2018,29(3):90-100. |
16 | Zhang Zhenxing,Liu Yanhui,Yuan Guangxiang.Reviews on vulnerability assessment methods for geo-hazards[J].The Chinese Journal of Geological Hazard and Control,2018,29(3):90-100. |
17 | 沃尔夫冈·哈德勒,利奥波德·西马.应用多元统计分析[M].陈诗一,译.2版.北京:北京大学出版社,2010:220-225. |
17 | Hadler Wolfgang,Simma Leopold.Applied multivariate statistical analysis[M]. Liu Shiyi,trans.2nd ed.Beijing:Peking University Press,2010:220-225. |
18 | 林漫冰,李雄英,黄绮雯.基于因子分析的我国区域经济发展水平研究[J].经济数学,2018,35(4):68-72. |
18 | Lin Manbing,Li Xiongying,Huang Qiwen.Research on regional economic development level based on factor analysis[J].Journal of Quantitative Economic,2018,35(4):68-72. |
19 | 高瑾瑾,郑源,李涧鸣.抽水蓄能电站技术经济效益指标体系综合评价研究[J].水利水电技术,2018,49(7):152-158. |
19 | Gao Jinjin,Zheng Yuan,Li Jianming.Study on comprehensive evaluation of tech-economic benefit index sys-tem of pumped storage hydropower station[J].Water Resour-ces and Hydropower Technology,2018,49(7):152-158. |
20 | 陈华,林华忠,靳爱仙,等.基于物元分析法的将乐国有林场用材林质量评价研究[J].林业资源管理,2018(5):82-89. |
20 | Chen Hua,Lin Huazhong,Jin Aixian,et al.Evaluation of the quality of timber forest in Jiangle state-owned forest farm based on matter-element analysis[J].Forest Resources Management,2018(5):82-89. |
21 | 杨聪,夏学成,黎铁冰,等.K-均值聚类分析法在目标威胁评估中的合理性检验[J].舰船电子工程,2017,37(11):21-23,86. |
21 | Yang Cong,Xia Xuecheng,Li Tiebing,et al.Analysis of rationality of K-means cluster analysis in target threat assessment[J].Ship Electronic Engineering,2017,37(11):21-23,86. |
22 | 赵文斌,许梦国,程爱平,等.程潮铁矿深部开采岩爆致灾因素分析[J].矿业研究与开发,2019,39(4):59-64. |
22 | Zhao Wenbin,Xu Mengguo,Cheng Aiping,et al.Analysis of rock burst disaster factors in deep mining of Chengchao Iron Mine[J].Mining Research and Development,2019,39(4):59-64. |
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