Mining Safety and Sustainability I
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 developmen...
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| 格式: | Online |
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| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| 主題: | |
| 在線閱讀: | ONIX_20221025_9783036546872_25 |
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| _version_ | 1869517469366878208 |
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| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-93171 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-931712024-04-09T23:15:59Z Mining Safety and Sustainability I Dong, Longjun Zhao, Yanlin Chen, Wenxue top-coal caving mining process parameters decision model BP neural network similaritysimulation test time-dependent cohesion traction force deep-sea sediment tracked miner rheology cemented paste backfill curing conditions mechanical properties mathematical strength model AMD phytoremediation sulfate hydroponic experiment wetland plants ecological pollution tailings dam safety factor quantitative evaluation dynamic weight comprehensivediagnosis of health : rock formations surface subsidence law surface subsidence process 3D test device 3Dlaser scanning mine ventilation network wind speed sensors distribution air volume reconstruction independent cut set surface subsidence probability integration loess donga superimposed calculation additional displacement of slope mining slip : mining water hazard microseismic monitoring intelligent recognition feature extraction support vector machine classification model freeze–thaw cycles tailings mechanical behavior SEM MIP thick aeolian sand shallow buried thick seam overburden failure ground damage numerical simulation rock mechanics cyclic impact chemical corrosion axial compression strength degradation pipe transportation system test pressure loss random forest algorithm filling-aided design vibration signals neural network drilling state identification algorithm drilling depth monitoring-while-drilling method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2022-10-25T09:00:17Z 2022-10-25T09:00:17Z 2022 book ONIX_20221025_9783036546872_25 9783036546872 9783036546889 https://directory.doabooks.org/handle/20.500.12854/93171 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/topic/6067 https://mdpi.com/books/pdfview/topic/6067 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4688-9 10.3390/books978-3-0365-4688-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036546872 9783036546889 348 open access |
| spellingShingle | top-coal caving mining process parameters decision model BP neural network similaritysimulation test time-dependent cohesion traction force deep-sea sediment tracked miner rheology cemented paste backfill curing conditions mechanical properties mathematical strength model AMD phytoremediation sulfate hydroponic experiment wetland plants ecological pollution tailings dam safety factor quantitative evaluation dynamic weight comprehensivediagnosis of health : rock formations surface subsidence law surface subsidence process 3D test device 3Dlaser scanning mine ventilation network wind speed sensors distribution air volume reconstruction independent cut set surface subsidence probability integration loess donga superimposed calculation additional displacement of slope mining slip : mining water hazard microseismic monitoring intelligent recognition feature extraction support vector machine classification model freeze–thaw cycles tailings mechanical behavior SEM MIP thick aeolian sand shallow buried thick seam overburden failure ground damage numerical simulation rock mechanics cyclic impact chemical corrosion axial compression strength degradation pipe transportation system test pressure loss random forest algorithm filling-aided design vibration signals neural network drilling state identification algorithm drilling depth monitoring-while-drilling method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Mining Safety and Sustainability I |
| title | Mining Safety and Sustainability I |
| title_full | Mining Safety and Sustainability I |
| title_fullStr | Mining Safety and Sustainability I |
| title_full_unstemmed | Mining Safety and Sustainability I |
| title_short | Mining Safety and Sustainability I |
| title_sort | mining safety and sustainability i |
| topic | top-coal caving mining process parameters decision model BP neural network similaritysimulation test time-dependent cohesion traction force deep-sea sediment tracked miner rheology cemented paste backfill curing conditions mechanical properties mathematical strength model AMD phytoremediation sulfate hydroponic experiment wetland plants ecological pollution tailings dam safety factor quantitative evaluation dynamic weight comprehensivediagnosis of health : rock formations surface subsidence law surface subsidence process 3D test device 3Dlaser scanning mine ventilation network wind speed sensors distribution air volume reconstruction independent cut set surface subsidence probability integration loess donga superimposed calculation additional displacement of slope mining slip : mining water hazard microseismic monitoring intelligent recognition feature extraction support vector machine classification model freeze–thaw cycles tailings mechanical behavior SEM MIP thick aeolian sand shallow buried thick seam overburden failure ground damage numerical simulation rock mechanics cyclic impact chemical corrosion axial compression strength degradation pipe transportation system test pressure loss random forest algorithm filling-aided design vibration signals neural network drilling state identification algorithm drilling depth monitoring-while-drilling method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | top-coal caving mining process parameters decision model BP neural network similaritysimulation test time-dependent cohesion traction force deep-sea sediment tracked miner rheology cemented paste backfill curing conditions mechanical properties mathematical strength model AMD phytoremediation sulfate hydroponic experiment wetland plants ecological pollution tailings dam safety factor quantitative evaluation dynamic weight comprehensivediagnosis of health : rock formations surface subsidence law surface subsidence process 3D test device 3Dlaser scanning mine ventilation network wind speed sensors distribution air volume reconstruction independent cut set surface subsidence probability integration loess donga superimposed calculation additional displacement of slope mining slip : mining water hazard microseismic monitoring intelligent recognition feature extraction support vector machine classification model freeze–thaw cycles tailings mechanical behavior SEM MIP thick aeolian sand shallow buried thick seam overburden failure ground damage numerical simulation rock mechanics cyclic impact chemical corrosion axial compression strength degradation pipe transportation system test pressure loss random forest algorithm filling-aided design vibration signals neural network drilling state identification algorithm drilling depth monitoring-while-drilling method thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20221025_9783036546872_25 |