Vai al contenuto principale della pagina
Autore: |
Guo Lijie
![]() |
Titolo: |
Green Low-Carbon Technology for Metalliferous Minerals
![]() |
Pubblicazione: | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
Descrizione fisica: | 1 electronic resource (292 p.) |
Soggetto topico: | Technology: general issues |
History of engineering & technology | |
Mining technology & engineering | |
Soggetto non controllato: | 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 | |
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 | |
backfill | |
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 | |
coal-based solid waste | |
orthogonal experiment | |
strength development | |
regression analysis | |
engineering performance | |
Persona (resp. second.): | GuoLijie |
Sommario/riassunto: | 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. |
Titolo autorizzato: | Green Low-Carbon Technology for Metalliferous Minerals ![]() |
ISBN: | 3-0365-5798-9 |
Formato: | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione: | Inglese |
Record Nr.: | 9910637778803321 |
Lo trovi qui: | Univ. Federico II |
Opac: | Controlla la disponibilità qui |