Qisong Huang

With economic development, the demand for metal ores has increased, and the scale of sulfide ore mining has been expanding continuously (Tang et al. 2025; Zhang et al. 2018; Wang et al. 2021; Liu W...

The spontaneous combustion of sulfide ores (SOSC) is an extremely dangerous mining disaster that directly threatens safety production in mines and causes far-reaching negative impacts on the surrounding ecosystem. In this study, oxidation weight gain experiments, self-heating temperature and ignition temperature tests, and thermogravimetric analysis (TGA) were conducted to detect the spontaneous combustion characteristics of sulfide ores with different sulfur contents (40.29%, 34.56%, 24.81%, and 14.2%). The results show that the sulfur content significantly affects the spontaneous combustion characteristics of sulfide ores. As the sulfur content decreased, the oxidized weight gain rate decreased overall, and the self-heating temperature (135, 152.5, 162.5, and 176.9 °C) and ignition temperature (425.3, 438.6, 455.4, and >500 °C) increased. The three combustion stages of the SOSC were divided based on the TG and DTG curves: low-temperature oxidation stage, combustion decomposition stage, and slow burnout stage. Furthermore, KAS and FWO methods were used to obtain the apparent activation energy in the combustion decomposition stage. The apparent activation energy decreased significantly with the increase in the sulfur content. The results of all experiments and analyses showed that sulfide ores with high sulfur content have a stronger tendency to undergo spontaneous combustion. The research results have important theoretical and practical implications for the prevention of SOSC.

Numerous floor water inrush (FWI) disasters have occurred during the roof weighting period in China. Therefore, to clarify why FWI accidents tend to cluster at a specific mining stage, a novel method for evaluating the failure depth of mining floors (FDMF) under dynamic loads induced by roof breakage is proposed in this study. By employing Matlab programming, the stress distribution and failure patterns of the intact floor were analyzed, revealing the dynamic stress response and failure characteristics. In addition, the accuracy of the proposed theoretical model was further verified through numerical simulation and field measurement. The results indicate that dynamic loads significantly impact vertical stress and shear stress, but only have a minor impact on horizontal stress. This leads to an expansion of the stress concentration zone and an increase in the intensity of the mining floor. Moreover, the FDMF is notably enhanced under the dynamic load induced by roof weighting. Besides, both the numerical simulations and field measurement results align closely with the theoretical predictions, which confirm the effectiveness of the proposed method. This study provides a theoretical foundation for understanding FWI mechanisms under the combined influence of dynamic and static loads.

The occurrence and development of creeping landslides lead to a gradual destruction of the affected environment; therefore, research into creeping landslide stability trends based on the monitoring of landslide data is of considerable practical value. We investigated the Jinpingzi landslide area II using strength subtraction to analyze the relationship between stress and strain at important points and the stability of the landslide. The results confirm the relationship between the internal failure pattern, safety factor, and key point displacement of creeping landslides. Furthermore, the results confirm the change rules of displacement, in addition to changes in the safety factor. By combining the surface displacement monitoring data of Jinpingzi landslide area II, its stability trend was analyzed based on the established relationship model between deformation displacement and internal failure characteristics of creeping landslides. The results demonstrate that the Jinpingzi landslide area II is in a stable damage deformation. The sliding surface formed in the landslide and the results obtained using the model of the Jinpingzi landslide area II are consistent with the actual situation determined by analysis in the field and exploring the geology.