Abstract: The shock wave radiated from the coal and rock fracture causes dynamic load disturbance in the mining space.which results in cumulative damage of the coal and rock mass and elastic energy accumulation. It is easy to induce dynamic disasters such as coal burst under the combined action of the two aforementioned factors. This paper is focus on the seismic energy attenuation law of shock wave.especially under large-scale fracturing of energy to the source energy.radius.the energy attenuation coefficient and loading point away from the epicenter distance. Based on statistical analysis of recorded data from Longwall 250106-1 of a coal mine in Gansu Province.we got the distribution of energy attenuation coefficient of the different source level. The static load intensity index φs based on the damage effect of shock wave and the dynamic load intensity index φd describing the disturbance degree of shock wave were proposed.and the comprehensive prediction index of burst risk φsd was constructed based on the principle of static and static load superposition.in which a prediction example was analyzed. The results show that the statistical results of 24 coal bursts in Longwall 250106-1 indicate that the 300 m overhead gob side of the longwall face is the high-risk area. Source energy.radius and distance between load point and source have great influence on energy attenuation.while energy attenuation coefficient has relatively low effect. The prediction examples show that φs for the prediction effect of the coal burst area is ideal.but the prediction effect of the high-energy event is low. As for φd.Only part of high-energy events can be predicted.and the prediction of coal burst area is wide.which reduces the prediction efficiency of burst risk area. For the comprehensive prediction index φsd.the probability of high-energy event located in the moderate impact risk area is more than 70%.and the obvious coal burst areas are all located in the moderate impact risk area.indicating that the high-energy event and occurrence area of coal burst can be effectively predicted.which shows a good prediction performance.