Wen Nie

State Key Laboratory of metal mine safety and health

Debris flows represent significant threats in the Northern Andes of Patagonia (NAP). On May 1, 2019, during the winter season, an extreme hydrometeorological event of 122 mm accumulated in 24 h triggered debris flows in the Chaiguaco sector (42.1°S/72.4°W), cutting off different sections of the interregional highway with their deposits, leading sou...

To solve the difficult problems of tailings dam instability and environmental pollution, multisource information perception, prediction and early warning technology for tailings dams are investigated. Taking a tailings pond in China as an example, a three-dimensional visualization intelligent management platform based on the spatiotemporal fusion o...

Rainfall-triggered landslide are a typical geological hazard in the southeastern coastal area of China. The disaster process of rainfall-triggered landslide is investigated by field monitoring, model tests, three-dimensional reconstruction and discrete element numerical simulation. Intelligent monitoring and warning technology for rainfall-triggere...

Tailings dam is the place where tailings are accumulated, once a failure occurs, it will cause irreversible huge harm to downstream residents and the environment. However, in the field of environment and safety, few scholars have conducted comprehensive studies on the inundation area of tailings dam break and the evacuation of personnel after dam b...

The internal defects of rocks are the main cause of instability and failure in underground engineering. Therefore, using ultrasonic monitoring technology to study the defect characteristics of rocks containing voids is of great significance. The research results indicate that with the increase in the pore size, the longitudinal wave velocity and fi...

High-permeability sand cannot control the water that is stored behind an embankment. In addition, if clay cannot be provided within a reasonable distance of the embankment construction site, an alternative method must be found. The study proposes using a polyurethane foam-sand mixture to construct an impermeable embankment. The main purpose of the...

The availability of remotely sensed data sources makes it possible to generate large-scale studies efficiently, accurately, and geographically scalable. Considering the remote sensing benefits and scope, we propose a methodology that integrates critical variables for a landslide susceptibility map preparation with an accurate hazard assessment in l...

Landslide susceptibility mapping (LSM) is a major measure for disaster prevention and control. This paper proposes an incremental learning random forest model that uses random forests for incremental training of landslides. The 1652 landslides in Ganzhou, China from year 2015 to 2020 were divided into three equal parts (T1, T2 and T3) considering t...

The study of earth movements and their occurrence factors contributes positively to the reduction of damages resulting from disasters caused by landslides, falls or alluvium. The investigation of early warning systems for landslide events that is developed for this case uses main variables for the generation of movement. In this case, the main cond...

Rotational landslide has generally been characterized through shallow geophysics methods and satellite analysis to study potential hazards to the population. At present, the recognition of landslides by their morpho-structure considers the combination of multiple sources of information and precision levels acquired through geomorphological, geophys...

Massive landslides are rock and soil movement processes that have social, economic, and environmental impacts. Their study contributes to the balance of human settlements with the ecosystem and dynamics to mitigate and prevent risk. The intervention zone’s geomorphology, geology, precipitation, and geometry must be quantitatively considered to esta...

This work investigates the dynamic response characteristics and cumulative damage evolution of jointed slopes under continuous earthquakes. Three jointed slope discrete-element models were created using a new fracture formation method to avoid particle overlap. The effects of joint types on dynamic amplification and failure mode are investigated. T...

In this paper, an error-correcting ensemble model combining empirical mode decomposition and reconstruction combined with statistical methods is proposed to improve the prediction accuracy of a high concentration of particulate matter with diameters of 2.5 μm or less (PM2.5) around a tailings reservoir. The proposed prediction model consists of a p...

As an important substitute for ammonium-free leaching, magnesium sulfate is applied as a leaching agent for the mining of ion-adsorbed REE (rare earth element) deposits. Upon deriving the equation regulating the leaching kinetics on the basis of the REE “shrinking core model” during the leaching process of magnesium sulfate, we conducted leaching e...

Accurately recognizing landslide deformation regions is important for understanding the mechanisms of landslides and predicting landslide disasters. Using slopes in Dayu County, China, as the research background, this paper simulates slopes using a similar test model test and proposes a new method of automatic identification based on depth informat...

Article highlights Rainwater transferred a large number of fine particles from the top of the dam body to the bottom. caused an impressive change in the particle size distribution of tailings. As rainfall amount increased, the mechanical properties of the tailings changed significantly in different areas, and the spatial distribution of the mechani...

A novel road slope monitoring and early warning system was developed by integrating 3D image recognition technology and 3D numerical modeling technology for monitoring and predicting slope deformation. It was applied for monitoring and early warning for a road slope in Nanping, Fujian, China. The system consists of equipment information management,...

The triggering of landslides is strongly related to hydrological processes, as variations in soil moisture content and pore water pressure affect variations in soil mechanical properties [...]

Technical regulations for the construction of geological disaster early warning information system for metal mines 2023-04-27 发布 2023-04-27 实施 中国国际科技促进会 发布

Quantitative research on and the prediction of a landslide deformation area is an important point to accurately and comprehensively understand the failure mechanism of landslides and the degree of slope failure. This study uses image processing techniques to quantitatively identify the area and volume of deformation regions during rainfall-type lan...

During the in situ leaching process of ion-adsorption rare earths, leaching solution needs to be constantly injected to the mine slopes. As a consequence, landslides are highly likely to occur due to the increasing water level of soil mass. To solve this problem, we conducted a mechanical analysis on the rising water level after solution injection,...

Image recording and analysis is an important but time-consuming method for understanding the rock mechanics mechanism. In this paper, a method for automatic batch identification of rock deformation areas is proposed. We crop the original image to remove irrelevant background. And we use adaptive threshold segmentation, region growth segmentation an...

Rainfall infiltration is the primary factor that induces landslides. In this paper, discrete element software (PFC 3D) was used to establish a novel rainfall infiltration model, which integrates water transfer, intensity decay and seepage force into the calculation of the moisture field. By applying this model to the rainfall infiltration analysis...

With the continuous mining, a huge amount of mine waste has accumulated in tailing dams in China. The increasing frequency of abnormal rainfall in China poses a significant threat to the stability of tailings dams. It is important to study spatial variation of physical and mechanical properties of tailings for the process of dam destabilization due...

The overtopping failure that occurred to the reinforced tailings dam has led to devastating catastrophes, including severe environmental disasters as well as tragedy in terms of any loss of properties and life. To study the feature of overtopping erosion for the reinforced fine-grained tailings dam induced by mud-water mixture overflow, the red mud...

In the event of a flood, the choice of evacuation routes is vital for personnel security. This is particularly true when road factors play an important role in evacuation time. In this study, the traditional Dijkstra algorithm for route planning is improved, and the evacuation model is improved from 2D to 3D. At the same time, the Lasso regression...

For geological disasters such as landslides, active prevention and early avoidance are the main measures to avoid major losses. Therefore, landslide early warning is an effective means to prevent the occurrence of landslide disasters. In this paper, based on geological survey and monitoring data, a landslide monitoring and early warning model based...

Tailings pond accidents can cause large amounts of human and property damage, so the rapid and accurate recognition of tailings ponds is important for the prevention of tailings pond accidents. Recognizing tailings ponds by manual interpretation is time-consuming and costly, and a single deep learning model cannot combine time and accuracy as well....

The Huanggang Reservoir capacity is affected by a variety of factors. In order to accurately understand the Huanggang Reservoir capacity change, we develop a new hydrological prediction model based on the LSTM (Long-Short-Term Memory) method, which is used to predict the capacity of the reservoir. In this modified model, we choose to input multidim...

Tailings dams are constructed as storage dams for ore waste, serving as industrial waste piles and for drainage. The dam is negatively affected by rainfall, infiltration lines and its own gravity, which can cause its instability to gradually increase, leading to dam deformation. To predict the irregular changes of tailings dam deformation, empirica...

A 3D tailings dam visualization early warning system was developed based on GIS (geographic information system) combining ARIMA (autoregressive integrated moving average model) and 3S (RS, GIS, GPS) technology for prediction of phreatic line changes and tailing dam deformation. It was applied for monitoring and early warning for the gold–copper tai...

The precise recognition of the deformation region is of importance for the early warning of tailings dam erosion failure. A region-growing segmentation algorithm based on the combination of multiple sub-pixels and point cloud coordinates is proposed in this paper for the above purpose. This method is implemented using Python and OpenCV open-source...

Due to human mining action, relatively fragile open-pit mine rock slopes are prone to instability induced by heavy rain. Accurately identifying the information and area of deformation features on rock slopes is a key step for landslide disaster warning and prevention. This study simulates the deformation process of a large and steep rock slope in D...

Accurate predictions of the surface deformation caused by underground mining are crucial for the safe development of underground resources. Although surface deformation has been predicted by artificial intelligence (AI) methods, most AI models are established based on the relationships between surface deformation and influential factors. The lack o...

The characteristics of laminae in lamellar shale oil reservoirs have important influences on reservoir parameters, especially permeability. In order to explore the influence of lamina density and occurrence on the permeability of lamellar shale after hydration, we studied the lamellar shale in the Chang 7 member of the Yanchang Formation of Triassi...

Relatively fragile open-pit mine rock slopes because of the human mining action are prone to instability induced by heavy rain. Accurate identification of deformation feature information and area of rock slopes is a key step for landslide disaster warning and prevention. Based on a large and steep rock slope in Dexing City, Jiangxi Province, China,...

Adopting yellow mud as barrier layer materials, coal and gas delay outburst experiments under conditions of geostress and gas accumulation disturbance were carried out by using self-developed simulation system, to find out roles of geostress and gas pressure played in the process of the delay outburst and ways to predict it, through analysis of var...

Landslide hazard assessment is critical for preventing and mitigating landslide disasters. The tuning of hyperparameters is of great importance to achieve better accuracy in a landslide hazard assessment model. In this study, a novel approach is proposed for landslide hazard assessment with support vector machine (SVM) as the primary model and Baye...

Temperature is an important index to evaluate the microwave heating characteristics and affection of Formation microwave heating treatment. Experiments on microwave heating of coal powder were conducted to investigate the temperature rising characteristics of coal powder. The results indicated when the microwave heating power ranged from 1 kW to 5...

The macro-micro mining response of the surrounding rock and overlying strata towards the transformation from open-pit to underground mining is examined in the present study, based on the engineering background of the Jinning phosphate mine (Yunnan Phosphate Chemical Group Co., Ltd.) via simulations involving similar materials, digital photographic...

Reservoirs are important water conservancy constructions for flood prevention and disaster reduction in a region. The prediction of reservoir storage is a key task to ensure its safe management and operation. In this study, an innovative modified tank model was developed for the reservoir storage prediction affected by precipitation, natural draina...

Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study, a hybrid method including GeoDetector and machine learning cluster was developed to provide a...

Landslide susceptibility mapping (LSM) could be an effective way to prevent landslide hazards and mitigate losses. The choice of conditional factors is crucial to the results of LSM, and the selection of models also plays an important role. In this study, a hybrid method including GeoDetector and machine learning cluster was developed to provide a...

Flood and landslides in mountainous cities triggered by rainstorm can severely impact people’s lives, property and socioeconomic development. The pre-hazard early warning system are crucial to the disaster prevention, and would be an important part of smart city planning. This paper introduced a way to support the pre-hazard identification based on...

Landslide hazard assessment is critical for preventing and mitigating landslide disasters. The tuning of model hyperparameters is of great importance to the accuracy and precision of one landslide hazard assessment model. In this study, Bayesian Optimization (BO) method was used to tune the hyperparameters of Support Vector Machine (SVM) model to o...

Coal and gas outburst is one of the most serious disasters in coal mining. To research the outburst evolution mechanism, we used the multi-field coupled coal mine dynamic disaster large-scale test system for simulating coal and gas outburst. In the present study, the evolution characteristics of gas pressure, temperature, and coal body stress durin...

Malaysia is extensively covered by residual soils, which are mostly in an unsaturated zone. Determining the unsaturated shear strength of residual soils using the empirical models is beneficial because of the limitations of experimental methods. Several shear strength models have already been developed, and the accuracy of some of these models has...

In the tropical area, most shallow foundations and embankments are involved in dealing with unsaturated soils. Any collapse or settlement in unsaturated soils is determined by two independent stress variables: the applied stress and suction. The massive collapse related to suction changes may lead to unrecoverable damages to compacted earth fills b...

In this study, the ground motions that can be attributed to the aftershocks of the 2008 Mw7.9 Wenchuan, China earthquake recorded in the Wudu basin, which is a small basin in the eastern Tibetan Plateau, are analyzed to investigate the seismic effect of a small sedimentary basin. In case of the Wudu basin, the site responses from the basin edge are...

Coal and gas outburst is a dynamic phenomenon in underground mining engineering that is often accompanied by the throwing and breakage of large amounts of coal. To study the crushing effect and its evolution during outbursts, coal samples with different initial particle sizes were evaluated using a coal and gas outburst testing device. Three basic...

Slope failures caused by rainfall are common occurrences in many parts of the world and are severe in Japan where there are significant numbers of slopes susceptible to failure. To understand the mechanisms and conditions leading to such failures, constant shear stress tests that mimic the field stress path were conducted on a sandy soil taken from...

Water inrush disasters originating from completely weathered granite are strongly affected by its physical and mechanical properties, such as the porosity, permeability, and water stability. The porosity and permeability are heavily affected by the particle composition. Meanwhile, a large amount of particles with poor cementation, are transferred b...

Residual soils are produced from weathering of rocks and commonly found in tropical humid areas. The geotechnical properties of residual soils are a function of the parent rock, the degree of weathering, and climate which vary from region to region. A thorough quantification of the geotechnical characteristics of residual soils is required for a sa...

It has been recognized that pore water pressure (PWP) changes in response to precipitation play a critical role in rainfall-triggered landslides. Tank models as a kind of undetermined model are widely applied for estimating groundwater levels in slopes. Most of these applications treat the tank models as a theoretical model. Therefore, in this stud...

Obtaining continuous landslide deformation information is important for analyses of landslide processes. This paper proposes a landslide deformation area image recognition method. Using this method, the landslide area can be automatically identified, and continuous landslide deformation data can be obtained. This novel method is implemented using P...