The escalating challenges of resource scarcity and environmental pressures have drawn significant attention to heavy metal-containing dust generated during steel production. While previous research on heavy metals in steel manufacturing has primarily focused on emission inventories, health and ecological risks, and recycling technologies, the assessment of steel metallurgical dust management has been largely overlooked. To address this research gap, this study employed statistical entropy analysis to evaluate the effectiveness of dust treatment in the steel production process, aiming to identify potential issues in dust management. Furthermore, an evaluation framework was established to systematically assess the resource attributes of steel metallurgical dust, thereby supporting evidence-based decision-making in dust management. Results indicate that Cd, Pb, As, Zn, Cr, and Hg tend to accumulate in dust during steel production. Given its high resource attribute, converter dust should be prioritized for recovery. Further analysis suggests that the rotary kiln process plays a transitional role in dust recovery. This study provides a scientific foundation for dust management in the steel industry and offers guidance for the sustainable development of dust utilization.

中文翻译：

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钢铁冶金粉尘管理评价：结合处理方法和资源属性


资源稀缺和环境压力带来的挑战不断升级，引起了人们对钢铁生产过程中产生的含重金属粉尘的极大关注。虽然以前对钢铁制造中重金属的研究主要集中在排放清单、健康和生态风险以及回收技术上，但对钢铁冶金粉尘管理的评估在很大程度上被忽视了。为了解决这一研究空白，本研究采用统计熵分析来评估钢铁生产过程中粉尘处理的有效性，旨在确定粉尘管理中的潜在问题。此外，建立了一个评估框架来系统评估钢铁冶金粉尘的资源属性，从而支持粉尘管理中的循证决策。结果表明，在钢铁生产过程中，Cd、Pb、As、Zn、Cr 和 Hg 往往会积聚在粉尘中。鉴于其高资源属性，应优先回收转化器粉尘。进一步的分析表明，回转窑工艺在粉尘回收中起着过渡作用。本研究为钢铁行业粉尘管理提供了科学依据，为粉尘利用的可持续发展提供了指导。