Green Low-Carbon Technology for Metalliferous Minerals

Edited by
November 2022
292 pages
  • ISBN978-3-0365-5797-7 (Hardback)
  • ISBN978-3-0365-5798-4 (PDF)

This book is a reprint of the Special Issue Green Low-Carbon Technology for Metalliferous Minerals that was published in

Chemistry & Materials Science

Metalliferous minerals play a central role in the global economy. They will continue to provide the raw materials we need for industrial processes. Significant challenges will likely emerge if the climate-driven green and low-carbon development transition of metalliferous mineral exploitation is not managed responsibly and sustainably. Green low-carbon technology is vital to promote the development of metalliferous mineral resources shifting from extensive and destructive mining to clean and energy-saving mining in future decades. Global mining scientists and engineers have conducted a lot of research in related fields, such as green mining, ecological mining, energy-saving mining, and mining solid waste recycling, and have achieved a great deal of innovative progress and achievements.

This Special Issue intends to collect the latest developments in the green low-carbon mining field, written by well-known researchers who have contributed to the innovation of new technologies, process optimization methods, or energy-saving techniques in metalliferous minerals development.

  • Hardback
© 2022 by the authors; CC BY-NC-ND license
metallurgical slag-based binders; solidification/stabilisation; As(III); As(V); calcium hydroxide; sublevel caving; numerical simulation; physical model; structural parameter; green mining; limestone; high temperature; confining pressure; SHPB; constitutive model; open-pit mine; PLAXIS 3D; dynamic load; safety factor; acceleration; particle sedimentation; filling mining; degree of influence; pipeline transportation; solid waste utilization; tailings; reclamation risk; hazard identification; complex network; hazard management; digital mine; mine short-term production planning; haulage equipment dispatch plan; ABCA; NSGA; settlement velocity measurement; K-means; tailings backfill; unsupervised learning; cemented paste backfill; ESEM; picture processing; floc networks; pumping agent; pipeline transportation; fractal dimension; backfill slurry; strength of cemented backfill; inhomogeneity of cemented backfill; cemented tailings backfill; copper; zinc; recovery; sulfide concentrate; artificial microbial community; granular backfill; bearing characteristics; numerical model; particle size; surface subsidence; blasting dust movement; dust concentration; particle size distribution; blasting dust reduction; numerical simulation; backfill; tailings; particle size distribution; metal mine; log-sigmoid; tailings pond; regional distribution; dam break; accident statistics; causation analysis; backfilling; increasing resistance and reducing pressure; computational fluid dynamics; spiral pipe; stowing gradient; filling mining; coal-based solid waste; orthogonal experiment; strength development; regression analysis; engineering performance; n/a