Key Laboratory of Mining Area Geology and Disaster Advanced Detection and Early-Warning, Ministry of Emergency Management**

The laboratory focuses on the field of production safety, with particular emphasis on geological issues and disaster prevention and control during mine construction and development. It addresses the impacts of mineral development activities on the geological environment, the geological disaster effects of geological environmental catastrophes, as well as three-dimensional geological transparency in mining areas, detection of geological disasters in mining areas, and intelligent monitoring and early warning. The supporting institutions—China University of Mining and Technology, Peking University, and the Hydrogeological Bureau of China National Administration of Coal Geology—each possess distinct research expertise in related fields and have achieved notable accomplishments. The existing research areas include:

(1) **Theories and Technologies for Prevention and Control of Disasters and Ecological Geological Environments in Mining Areas**

A technical system for the prevention and control of disasters and ecological geological environments in mining areas has been established. This system reveals the intrinsic connections among mining disturbances, water body disturbances, and disaster formation, and has constructed a prevention and control framework for disasters and geological environmental protection.

(2) **Theories and Technologies for Prevention and Control of Sudden Large Water Inrushes from Separated Layers in Overlying Strates Induced by Mining**

In-situ monitoring technologies for the development of separated layers (water) in overlying strates induced by mining have been invented, along with prediction and evaluation technologies for sudden water inrushes from separated layers and key technologies for investigation and prevention of water hazards from separated layers.

(3) **Theories and Technologies for Constructing Intelligent Transparent Geological Platforms for Spatiotemporal Information in Mines**

The mechanisms of spatiotemporal information evolution throughout the entire mining process and their intelligent expression have been clarified. A transparent geological theory and method for adaptive feedback and decision-making of spatiotemporal information in mines have been proposed. Intelligent analysis technologies based on GIS+AI+mine safety production have been invented.

(4) **Theories and Technologies for Quantitative Geophysical Prediction of Aquifers in Mines**

Addressing the key technical challenge of quantitatively evaluating water content for water hazard prevention, quantitative relationships among rock resistivity, porosity, and water saturation have been established. Three-dimensional geophysical modeling for arbitrarily complex terrain has been achieved, and precise electrical models of aquifers and aquitards have been constructed based on multi-parameter fusion constraints. Theories and technologies for quantitative prediction of water inrushes have been developed, effectively resolving the key issues of low efficiency in water prevention processes and quantitative evaluation of water content.

(5) **Integrated Detection and Three-Dimensional Prevention Technologies for Water Inrush Hazard Sources**

An integrated detection technology system has been established, including magnetic and electrical source transient electromagnetic methods, surface–roadway transient electromagnetic methods, mine transient electromagnetic methods, and advanced detection using borehole direct current methods. A phased detection model—surface general survey → surface detailed survey → mine advanced detection—has been adopted to achieve three-dimensional data acquisition, improving exploration accuracy and resolution. To date, advanced detection of water inrush hazard sources has been conducted over a thousand times, serving hundreds of mines.

(6) **Theories and Technologies for Monitoring and Early Warning of Dynamic Disasters in Mining Areas**

Innovative theories and technologies for monitoring and early warning of dynamic disasters in coal mines have been developed. A multi-parameter intelligent early warning cloud platform for dynamic geological disasters has been created, and a "three-field" early warning theory and indicator system have been established, providing new methods for the management and control of dynamic disasters in mining areas.

(7) **Theories and Technologies for Multi-Source and Multi-Scale Integrated Monitoring and Early Warning of Geological Disasters in Mining Areas**

Addressing issues such as surface subsidence, shallow geological disasters, mining-induced subsidence, and multi-source underground disasters faced during resource development in mining areas, key technologies for intelligent monitoring and early warning through joint inversion of multi-source disasters from air-space-ground-borehole data have been proposed.

https://tcyj.cumt.edu.cn/