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[an error occurred while processing this directive]Bibliometric Analysis of Gold Tailings Treatment and Comprehensive Utiliza-tion Research
Received date: 2024-04-30
Revised date: 2024-06-17
Online published: 2024-09-19
With the rapid development of China’s economy,the traditional model of crude economic growth has exacerbated resource shortages,and intensified environmental pressure.Consequently,the vigorous development of a green,circular economy and the improvement of resource utilization rates are imperative.Gold tailings,a form of solid waste,are produced as a byproduct of the extraction and processing of gold mineral resources.Gold production predominantly utilizes the cyanide extraction method,necessitating the addition of cyanide during the process.Consequently,residual cyanide remains in the tailings,contributing to environmental pollution and posing risks to human health.Furthermore,as the scale of gold production expands,the accumulation of gold tailings increases annually,leading to significant land occupation.In China,the comprehensive utilization rate of metal tailings averages less than 10 percent,which is markedly lower compared to other bulk solid wastes.Gold tailings are rich in both heavy metal elements and valuable minerals,improper management not only results in the wastage of natural resources,but also poses significant safety risks.Bibliometrics,the application of mathematical and statistical techniques to quantitatively analyze information within the literature of a specific field,can elucidate the characteristics of research activities and identify emerging trends in that domain.Employing bibliometric methods and VOS viewer software,this study aimed to elucidate the research dynamics pertaining to the treatment and comprehensive utilization of gold tailings,both domestically and internationally.The findings indicate a growing trend in research on gold tailings treatment and comprehensive utilization,with close inter-country research linkages and a steadily improving comprehensive utilization rate of gold tailings in China.The research in this field predominantly focuses on three directions,namely flotation of gold tailings,comprehensive utilization of gold tailings,and ecological restoration of gold tailings.Innovations in separation and purification technologies for various components in gold tailings, have the potential to enhance the comprehensive utilization of these tailings,thereby increasing their added value.Such advancements can facilitate the quantitative reduction,resource utilization,and high-value application of gold tailings.Currently,the overall comprehensive utilization of gold tailings,both domestically and interna-tionally,is increasing.However,challenges remain in the resource utilization of gold tailings,necessitating further in-depth research.It looks forward to the future development direction of harmless treatment and high value utilization of gold tailings.The comprehensive utilization of gold tailings can turn waste into treasure,turn harm into benefit,and alleviate the prominent contradiction between China’s economic development and ecological environment destruction and resource shortage.
Heng REN , Peilin LI , Jinlu LI . Bibliometric Analysis of Gold Tailings Treatment and Comprehensive Utiliza-tion Research[J]. Gold Science and Technology, 2024 , 32(5) : 939 -948 . DOI: 10.11872/j.issn.1005-2518.2024.05.119
哈尔滨中心强化科技支撑运用大数据助力找矿突破
中国地质调查局哈尔滨自然资源综合调查中心(以下简称“哈尔滨中心”)多措并举推进新一轮找矿突破战略行动。2024年,该中心在部署开展黑龙江省黑河三道湾子、吉林省蛟河和内蒙古自治区得尔布尔—莫尔道嘎3个金矿调查项目的同时,专门组建大数据智能找矿专班,对以往各矿区海量数据开展综合研究分析,并建立数字找矿模型,用科技力量支撑新一轮找矿突破战略行动。
为确保大数据智能找矿实现新突破,2024年初,哈尔滨中心抽调精兵强将组建团队,科学选定多宝山成矿亚带作为研究区。该研究区位于东乌珠穆沁旗—嫩江成矿带之多宝山—黑河铜、钼、金、铁、锌成矿亚带,至今已发现超大型铜矿床2个,大中型铜、铅、锌矿床6个,大中型金矿床8个,大型银矿床1个,是国内外学者研究的热点区带。该成矿亚带经过数十年地质勘查工作,已获取了地质、物探、化探、遥感、勘探和矿山开采、文献资料等大量数据。哈尔滨中心在全面收集和系统分析的基础上,对数据进行归并和标准化处理,构建数字成矿带,实现地质找矿信息透明立体表达。
在全面研究总结典型矿种矿床的成矿规律和成矿模式的基础上,团队通过数据降维、分类提取多源找矿信息,利用神经网络、集成学习和深度学习等技术手段,开展典型矿床中各数据之间的监督学习,分析数据间的关联关系,建立数字找矿模型,探索形成大数据智能找矿预测技术方法;通过多宝山—铜山铜矿重点勘查区找矿预测示范应用工作,团队系统总结了该区数字找矿特征,精准圈定成矿有利区7处,有效验证了方法的实用性和有效性,为该区新一轮找矿突破战略行动提供了科学参考。
该团队负责人闫永生介绍说:“大数据智能找矿预测是依托大数据时代背景下的技术优势和资源优势,利用三维/四维“空间决策”技术方法和智能预测技术,实现对矿产资源的高效精准预测和综合动态评价,为找矿勘探行业的健康、绿色、可持续发展提供有力支撑。这一技术方法既能协助地质工作者更准确地判断区域矿产资源的分布和潜力,提高找矿的效率,又能实现资源高效利用,推动地质勘探行业的智能化发展。”
据悉,2024年底前哈尔滨中心大数据智能找矿预测团队将构建数字成矿带1个、成矿带三维模型1个,探索形成基于大数据和人工智能的找矿预测技术方法1套,提交研究报告1份,圈定成矿有利区及找矿靶区多处。
中国矿业报)
http://www.goldsci.ac.cn/article/2024/1005-2518/1005-2518-2024-32-5-939.shtml
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