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| Autore: |
Dong Longjun
|
| Titolo: |
Mining Safety and Sustainability I
|
| Pubblicazione: | MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica: | 1 online resource (348 p.) |
| Soggetto topico: | History of engineering & technology |
| Technology: general issues | |
| Soggetto non controllato: | |
| mining water hazard | |
| rock formations | |
| 3D test device | |
| 3Dlaser scanning | |
| additional displacement of slope mining slip | |
| air volume reconstruction | |
| AMD | |
| axial compression | |
| BP neural network | |
| cemented paste backfill | |
| chemical corrosion | |
| classification model | |
| comprehensivediagnosis of health | |
| curing conditions | |
| cyclic impact | |
| decision model | |
| deep-sea sediment | |
| drilling depth | |
| drilling state identification algorithm | |
| dynamic weight | |
| ecological pollution | |
| feature extraction | |
| filling-aided design | |
| freeze-thaw cycles | |
| ground damage | |
| hydroponic experiment | |
| independent cut set | |
| intelligent recognition | |
| loess donga | |
| mathematical strength model | |
| mechanical behavior | |
| mechanical properties | |
| microseismic monitoring | |
| mine ventilation network | |
| MIP | |
| monitoring-while-drilling method | |
| neural network | |
| numerical simulation | |
| overburden failure | |
| phytoremediation | |
| pipe transportation system test | |
| pressure loss | |
| probability integration | |
| process parameters | |
| quantitative evaluation | |
| random forest algorithm | |
| rheology | |
| rock mechanics | |
| safety factor | |
| SEM | |
| shallow buried thick seam | |
| similaritysimulation test | |
| strength degradation | |
| sulfate | |
| superimposed calculation | |
| support vector machine | |
| surface subsidence | |
| surface subsidence law | |
| surface subsidence process | |
| tailings | |
| tailings dam | |
| thick aeolian sand | |
| time-dependent cohesion | |
| top-coal caving mining | |
| tracked miner | |
| traction force | |
| vibration signals | |
| wetland plants | |
| wind speed sensors distribution | |
| Persona (resp. second.): | ZhaoYanlin |
| ChenWenxue | |
| DongLongjun | |
| Sommario/riassunto: | Safety and sustainability are becoming ever bigger challenges for the mining industry with the increasing depth of mining. It is of great significance to reduce the disaster risk of mining accidents, enhance the safety of mining operations, and improve the efficiency and sustainability of development of mineral resource. This book provides a platform to present new research and recent advances in the safety and sustainability of mining. More specifically, Mining Safety and Sustainability presents recent theoretical and experimental studies with a focus on safety mining, green mining, intelligent mining and mines, sustainable development, risk management of mines, ecological restoration of mines, mining methods and technologies, and damage monitoring and prediction. It will be further helpful to provide theoretical support and technical support for guiding the normative, green, safe, and sustainable development of the mining industry. |
| Titolo autorizzato: | Mining Safety and Sustainability I ![]() |
| ISBN: | 3-0365-4688-X |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910619469303321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |