采动覆岩裂隙演化高度及分布形态是顶板水害防治重要参数之一。以内蒙古某矿3105工作面为工程背景，基于数值模拟、分形几何理论及微震事件三维空间分析明晰采动覆岩裂隙场及微震时空演化规律。结果如下：①采动覆岩裂隙场呈现“裂隙产生-发育演化-局部压实-周期扩展-大部压实”动态演化规律，采动裂隙网络场发育、扩展、穿透演化分形特征；②阐明了采动覆岩失稳破断、运移与微震事件局部“高频次-大能量”集中区时空演化规律，“高频次-大能量”与“低频次-小能量”集中区呈现周期分布，同工作面周期来压特征相吻合，微震事件集中区发生位置普遍超前工作面80~120 m；③数值模拟采动覆岩裂隙演化高度与微震监测所得结果基本一致；④倾向高位岩层微震事件“高频次-大能量”与“低频次-小能量”集中区呈现两端高、中间低“类马鞍形”分布，走向高位岩层微震事件能量集中区呈现“椭球状”分布，数量集中区呈现“条带状”分布。

The evolution height and distribution pattern of fractures in overburden strata induced by mining are among the crucial parameters for preventing and controlling roof water disasters. Taking the 3105 working face of a specific mine in Inner Mongolia as the engineering background, and utilizing numerical simulation, fractal geometry theory, and three-dimensional spatial analysis of microseismic events, we aim to clarify the spatiotemporal evolution laws of the mining-induced overburden fracture field and microseismic events. The results are as follows: ① Revealed the dynamic evolution law of "fracture generation, development, evolution, local compaction, periodic expansion, and large-scale compaction" in the mining overburden fracture field, as well as the fractal characteristics of the development, expansion, and penetration evolution of the mining fracture network field. ② This paper elucidates the spatiotemporal evolution law of the local "High frequency - high energy"concentration zone associated with mining-induced overburden instability, fracture, migration, and microseismic events. The "High frequency-high energy"and"Low frequency-small energy" concentration zones exhibit a periodic distribution, which aligns with the periodic weight-bearing characteristics of the working face. Typically, the location of microseismic event concentration zones precedes the working face by 80-120 m. ③ The evolution of the height of mining-induced fractures in the overburden rock, as determined by numerical simulation and microseismic monitoring, is basically consistent. ④ The concentration areas of "High frequency-high energy"and "Low frequency-small energy" microseismic events tend to show a "Saddle like" distribution with high ends and low middle, while the energy concentration areas of high-level microseismic events tend to show an "Ellipsoidal" distribution, and the quantity concentration areas show a "Strip like" distribution.