Landslide Monitoring And Study On Early Warning Model Of In-situ Leaching Of Ionic Rare Earth Ore

In-situ leaching of the ionic rare earth ore will reduce the steadiness of the mountain slope and affect the mine safety production, resource recovery and economic benefit. Slope monitoring and early warning is two important prevention methods of mine landslide. Nowadays, most relevant researches are based on the displacement- time characteristic curve, in which the early-warning model research is carried out by means of testing after using the landslide, however, its application has limitations. This article chose Guanxi and Dongjiang rare earth mine as the test sites, and the mine slope surface displacement, pore water pressure and earth pressure as the research object to establish a landslide warning model, combined with engineering practice, the reference security threshold was given.The main research work is as follows:We took slope surface displacement as the object of study and built the slope deformation phase model to judge the overall stability of the side slope; we took pore water pressure as the object of study, and built a pore water pressure model, which revealed the formation of pore water pressure; We took soil pressure as the object of study, related them with unbalanced thrust, and analyzed the steadiness of the slope from the internal.The monitoring data of Guanxi rare earth mine had shown that in the same monitoring point, the slope soil pressure was increased ahead of the surface displacement, and the slope monitoring parameter had changed from the inside to the outside; the monitoring data of Dongjiang mine indicated that at the beginning of the fluid injection, the pore water pressure and were mainly generated by gravitational water.After fitting Guanxi rare earth mine slope surface displacement trend monitoring data, in contrast to the slope deformation stage model, we found that the surface displacement of each monitoring point transited directly from the creeping phase to the stable phase, indicating that the survey line slope area was almost in a stable state. We denoised Dongjiang rare earth mine slope surface displacement monitoring data through empirical mode decomposition method, so the slope displacement movement trend was more obvious. Then conducted the stability evaluation in advance, of which the results showed that the slope of measuring line 1 was in stable phase, the slope of measuring line 2 was in sliding phase.When the equivalent head of the pore water pressure had reached the surface of the slope as a warning value, we established the pre-warning model of pore water pressure, then calculated Dongjiang rare earth mine with this model, thus it could be acquainted that the pre-warning value from measuring point①to measuring point ⑥ were respectively 68.0 k Pa, 20.0 k Pa, 31.5 k Pa, 47.5 k Pa, 31.0 k Pa, and 22.0 k Pa.The soil pressure measurement and cross-section stress of the unbalanced thrust being equal, we selected the soil pressure measurement when the safety factor was 1.5 as a pre-warning value and built the soil pressure pre-warning model. then calculated Dongjiang rare earth mine with this model, thus it could be acquainted that the soil pressure pre-warning value from measuring point①to measuring point ⑥ were respectively 57.85 k Pa, 468.28 k Pa, 467.68 k Pa, 51.47 k Pa, 35.13 k Pa, and 53.23 k Pa.