Study On The Impact Of Mining Near The Goaf In Section 108 Of Guanfang Phosphate Mine On The Ground Surfac

With the mining of mineral resources,the area of the goaf gradually increases,and there are great hidden dangers in the mining of adjacent ore bodies,so the research on the mining of adjacent goafs has become an important topic in the field of safety.The existence of the empty area leads to many dangers in the mining process of the adjacent ore body,which can even lead to large subsidence of the ground surface and affect the safety of buildings around the surface.In this paper,we use the SBAS-InSAR monitoring technology to obtain the surface subsidence values caused by mining activities,and invert the expected parameters of subsidence in the study area by combining the particle swarm algorithm,and substitute the inverse expected parameters of subsidence into the probability integration method to find the surface subsidence values within the mining area,so as to quantitatively analyze the impact of surface subsidence on The impact of the surface settlement on the surrounding buildings is then quantitatively analyzed,followed by a qualitative analysis of the mining area using numerical simulation methods,so that a comprehensive safety evaluation of the mining in the study area can be carried out.The main research contents of this thesis and its conclusions are as follows:(1)Analyze the mechanism of surface subsidence from the theory of rock movement and the law of movement of surface movement,and analyze the influencing factors of surface subsidence according to the actual situation at the site,so as to propose a method of surface subsidence estimation applicable to the study area.The results show that: the ore pillars left on site replace the ore body as the new support,and the ore pillars left on site can withstand the pressure of the overlying rock layer,so that the overlying rock layer does not appear "three zones",and only fracture zones and subsidence zones exist on site,which effectively prevent the deformation of the overlying rock layer and thus effectively suppress the surface subsidence in the study area;(2)Using SBAS-InSAR monitoring technology together with particle swarm algorithm to invert the expected parameters of subsidence of the probability integral method,the inverse substitution into the probability integral method is able to predict the surface subsidence,thus providing quantitative analysis of mining activities.The results show that the SBAS-InSAR monitoring technique combined with the particle swarm algorithm can accurately obtain the expected parameters of the settlement of the probability integral method,so as to accurately obtain the surface settlement values caused by mining activities in the study area,and lay a certain foundation for the quantitative evaluation of the safety of mining activities;(3)Using the probability integral method can predict the surface settlement trend caused by mining activities,so as to quantitatively evaluate the safety of mining activities and the analysis of settlement impact,but the probability integral method does not quantitatively consider the difference in lithology,so numerical simulation techniques are used to make up for this deficiency.Numerical simulation can reflect the rock properties and qualitatively characterize the impact of mining activities on the surface,so the combination of numerical simulation and probability integration method can provide a comprehensive evaluation of mining activities.