In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity giv...In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity gives rise to severe multi-source water hazards,including persistent threats from bed-separation water,goaf water accumulation,and structural water ingress.The intricate hydro-geological conditions,characterized by variable resistivity and significant electromagnetic interference,often render single geophysical detection methods inadequate,leading to interpretive ambiguities and potential oversight of critical risks.To address these challenges,this study innovatively proposes and demonstrates an integrated detection methodology that synergistically combines the Audio Frequency Electric Penetration(AFEP)method and the Radio Wave Penetration(RWP)method.The core innovation of this research is the design of a coordinated observation system meticulously tailored to the spatial distribution of coal pillars.Beyond data acquisition,a systematic,graded classification framework was established for the comprehensive analysis and fusion of the dual-method results.Crucially,these classification outcomes directly inform the formulation of targeted and tiered governance recommendations,translating detection data into actionable mitigation strategies.Practical application at the 22213 face yielded highly positive results.The integrated approach successfully delineated the spatial distribution of water-bearing anomalies and their connecting channels with a clarity unattainable by either method alone.This not only significantly enhanced the accuracy and reliability of the hydrological threat assessment but also provided a robust scientific foundation for implementing effective water hazard prevention and control measures,thereby ensuring the safe and efficient extraction of the skip mining face.展开更多
文摘In deep coal mining,skip mining techniques are increasingly adopted,yet their discontinuous extraction sequences and unique coal pillar support mechanisms create complex overburden failure patterns.This complexity gives rise to severe multi-source water hazards,including persistent threats from bed-separation water,goaf water accumulation,and structural water ingress.The intricate hydro-geological conditions,characterized by variable resistivity and significant electromagnetic interference,often render single geophysical detection methods inadequate,leading to interpretive ambiguities and potential oversight of critical risks.To address these challenges,this study innovatively proposes and demonstrates an integrated detection methodology that synergistically combines the Audio Frequency Electric Penetration(AFEP)method and the Radio Wave Penetration(RWP)method.The core innovation of this research is the design of a coordinated observation system meticulously tailored to the spatial distribution of coal pillars.Beyond data acquisition,a systematic,graded classification framework was established for the comprehensive analysis and fusion of the dual-method results.Crucially,these classification outcomes directly inform the formulation of targeted and tiered governance recommendations,translating detection data into actionable mitigation strategies.Practical application at the 22213 face yielded highly positive results.The integrated approach successfully delineated the spatial distribution of water-bearing anomalies and their connecting channels with a clarity unattainable by either method alone.This not only significantly enhanced the accuracy and reliability of the hydrological threat assessment but also provided a robust scientific foundation for implementing effective water hazard prevention and control measures,thereby ensuring the safe and efficient extraction of the skip mining face.
文摘在Ad Hoc网络的仿真研究中,节点移动模型的选择会严重影响到网络的拓扑结构和通信协议的性能.然而,现有移动模型大多是为理想环境设计的,不能适用于真实环境.在理想移动模型RWP(Random Waypoint)的基础上,提出了具有多出入口区域的RWP节点移动模型(RWP with entrances,RWPWE).在该模型中,区域出入口是节点进出区域的必经之地,节点在区域内的移动符合RWP节点移动模型,通过引入域内停留概率来完成节点在区域内外移动的转移,并从节点移动速度、移动时间、移动路程和空间分布概率等几个方面研究了区域出入口的影响.理论分析和实验仿真的结果表明,由于出入口的存在,与RWP模型相比节点的移动更加复杂,节点的空间分布也显著不同,这些差别将会影响到网络的拓扑性能和对网络协议的评价.
