摘要
冶炼渣长期堆放会带来潜在环境风险,加之其资源属性特征,一直是固体废物研究的重要领域。本研究利用CiteSpace软件对过去20年在中国知网(CNKI)和Web of Science(WoS)上发表的相关文献进行分析,并结合Incopat数据库检索了近10年该领域的相关专利,从而实现冶炼渣研究热点和前沿态势的可视化。结果显示,文献和专利量总体上呈逐年递增趋势,中国在相关文献和专利数量上均居首位,澳大利亚在发文量上位居第二,韩国在专利数量上位居第二;美国的中心性最高,达到0.79,仍占主导地位,表明中国发文量高,但其核心竞争力和影响力不足。对专利技术领域的分析表明,技术焦点高度集中于有价金属回收和建材化利用(如水泥、陶瓷、耐火材料)两大路径。热点分析表明,文献和专利的研究热点基本一致,主要集中在有价金属回收、综合利用及浸出液中重金属形态的分析,具有全球性特征。不同点在于,WoS数据库文献开始注重数值模拟等智能化技术与该领域的结合。基于专利、文献数据的双重验证及政策驱动,未来冶炼渣领域研究重点方向包括:锂、钛、镍和铜等有价金属的精准解离和高效提取;历史堆存渣的多重金属协同原位固化/稳定化技术的研究和开发,新增冶炼渣的绿色低碳经济的稳定化技术;减污降碳协同下的材料化与高值化利用;基于数值模拟、人工智能等智能化技术的冶炼渣特性预测和工艺过程优化,并加强数值模拟、人工智能等计算机科学与材料学、生物学等学科的融合。
Smelting slag has been an important area of solid waste research due to the potential environmental risks associated with long-term stockpiling,coupled with its resource property characteristics.In this study,relevant literature published on China Knowledge Network(CNKI)and Web of Science(WoS)in the past 20 years was analyzed using CiteSpace software,and relevant patents in this field in the past 10 years were searched in combination with Incopat database,so as to visualize the hotspots and cutting-edge trend of smelting slag research.The results showed that the amount of literature and patents have generally shown an increasing trend year by year,with China taking the first place in terms of the number of related literature and patents,Australia ranking second in terms of published literatures and South Korea ranking second in terms of the patent numbers.The centrality of the United States is the highest,reaching 0.79,still dominating the field,indicating that China has a high amount of publications,but its core competitiveness and influence are insufficient.The analysis of patented technology fields showed that the technology focus was highly concentrated on the two major paths of valuable metal recycling and building materials utilization(such as cement,ceramics,refractory materials).The analysis of hotspots showed that the research hotspots of the literature and patents were basically the same,mainly focusing on the recycling and comprehensive utilization of valuable heavy metals and the morphology analysis of heavy metals in the leaching solution,with global characteristics.The difference is that the WoS database literature has began to focus on the combination of numerical simulation and other intelligent technologies with this field.Based on the double validation of patents,literature data and policy-driven,the key directions for future research in the field of smelting slag include:precise dissociation and efficient extraction of valuable metals such as Li,Ti,Ni and Cu;research and development of synergistic in-situ solidification/stabilization technology of multiple heavy metals in historical stockpile slag,and new green,low-carbon and economic stabilization technology for increased smelting slag;materialization and high-value utilization based on pollution and carbon reduction synergy;prediction of smelting slag characteristics and process optimization based on numerical simulation,artificial intelligence and other intelligent technologies,and strengthening the integration of numerical simulation,artificial intelligence and other computer sciences with materials science,biology and other disciplines.
作者
陈秋月
杨延梅
石泽雨
赵文翰
马晨辉
毕廷涛
李海学
刘玉强
黄启飞
龙杰
CHEN Qiuyue;YANG Yanmei;SHI Zeyu;ZHAO Wenhan;MA Chenhui;BI Tingtao;LI Haixue;LIU Yuqiang;HUANGQifei;LONG Jie(School of River and Ocean Engineering,Chongqing Jiaotong University,Chongqing 400074;State Key Laboratory of Environmental Criteria and Risk Assessment,Chinese Research Academy of Environmental Sciences,Beijing 100012;China University of Geosciences(Beijing),Beijing 100084;China University of Mining&Technology,Beijing 100083;Kunming University of Science and Technology,Kunming Yunnan 650500;Yunnan Jinding Zinc Co.Ltd.,Nujiang Yunnan 671401)
出处
《环境卫生工程》
2025年第6期37-50,共14页
Environmental Sanitation Engineering
基金
生态环境科技创新先导专项(2024-XDZX-01-0204)
云南省重点研发计划项目(202503AT100004-4)。
关键词
可视化分析
高值化
重金属原位固化稳定化技术
有价金属提取
数智化
visual analysis
high-value
heavy metal in-situ solidification and stabilization technology
valuable metal extraction
digital intelligence
