Related Experiment Video
Updated: Aug 27, 2025
12:44
Watershed Planning within a Quantitative Scenario Analysis Framework
Published on: July 24, 2016
8.1K
Multi-hazard risk characterization and collaborative control oriented to space in non-coal underground mines
Menglong Wu1, Nanyan Hu2, Yicheng Ye1
1School of Resource and Environmental Engineering, Wuhan University of Science and Technology, 430081, Wuhan, Hubei, People's Republic of China.
Scientific Reports
|September 30, 2022
Summary
This study introduces a novel model for assessing and controlling multi-hazard risks in non-coal underground mines. It enhances safety by identifying risks, assessing vulnerabilities, and implementing a collaborative control system for better mine management.
Area of Science:
- Mining Engineering
- Risk Management
- Geotechnical Engineering
Background:
- Non-coal underground mines face complex multi-hazard risks, necessitating improved assessment and control strategies.
- Accident data from 2000-2022 highlights five key risk types: cage falls, powered haulage, fires, water inrush, and roof/rib failures.
- Existing models lack comprehensive spatial risk characterization and collaborative control mechanisms.
Purpose of the Study:
- To propose a space-oriented risk characterization and collaborative control model for multi-hazard risks in non-coal underground mines.
- To develop a framework for analyzing and assessing multi-hazard risks based on system inherent risk, disaster-bearing body vulnerability, and disaster-bearing area adaptability.
- To establish a multi-hazard safety risk collaborative control system for enhanced mine safety management.
Main Methods:
- Statistical analysis of historical accident data (2000-2022) to identify risk characteristics and types.
- Development of a multi-hazard risk analysis and assessment framework incorporating inherent risk, vulnerability, and adaptability indices.
- Application of the Nemerow pollution index for regional risk aggregation and spatial risk characterization.
- Construction of a collaborative control system encompassing source identification, classification, process control, continuous improvement, and full participation.
Main Results:
- Identification of five primary risk categories in non-coal underground mines.
- A comprehensive framework for evaluating inherent risks across equipment, materials, processes, operations, and places.
- Successful characterization and unified measurement of multi-hazard risks using vulnerability and adaptability indices.
- Validation of the proposed risk characterization model and collaborative control system's effectiveness and rationality.
Conclusions:
- The developed space-oriented model provides accurate risk assessment and facilitates collaborative control of multi-hazard risks in non-coal underground mines.
- The research supports the formulation of macro-level safety policies and offers practical guidance for spatial layout and risk management.
- The validated collaborative control system enhances overall mine safety through systematic risk management and stakeholder engagement.
More Related Videos
10:27A Uniaxial Compression Experiment with CO2-Bearing Coal Using a Visualized and Constant-Volume Gas-Solid Coupling Test System
Published on: June 12, 2019
8.8K
10:31Detection and Recovery of Palladium, Gold and Cobalt Metals from the Urban Mine Using Novel Sensors/Adsorbents Designated with Nanoscale Wagon-wheel-shaped Pores
Published on: December 6, 2015
28.2K
Related Concept Videos
01:11Hazard Rate
167
The hazard rate, also known as the hazard function or failure rate, is a statistical measure used to describe the instantaneous rate at which an event occurs, given that the event has not yet happened. From a probabilistic perspective, it represents the likelihood that a subject will experience the event in a very small time interval, conditional on surviving up to the beginning of that interval. In terms of frequency, the hazard rate can be viewed as the ratio of the number of events to the...
167
01:12Hazard Ratio
216
The hazard ratio (HR) is a widely used measure in clinical trials to compare the risk of events, such as death or disease recurrence, between two groups over time. It reflects the ratio of hazard rates—the instantaneous risk of the event occurring—between a treatment group and a control group. This measure provides valuable insights into the relative effectiveness of a treatment by assessing how the risk of an event differs between the two groups.
For example, in a clinical trial...
For example, in a clinical trial...
216
01:17Design Example: Analyzing Capacity Contours for Flood Risk Assessment
90
Flood risk assessment involves careful planning and analysis to ensure the safety of communities near water retention structures. Capacity contours are a vital tool in this process, as they illustrate the potential spread of water at specific levels in a given area. In the context of building a bund across a small valley, these contours play a critical role in evaluating the safety of nearby residential areas.In this example, the bund is intended to store stormwater in the valley. The engineers...
90
01:25Strategies for Assessing and Addressing Confounding
146
Confounding is a critical issue in epidemiological studies, often leading to misleading conclusions about associations between exposures and outcomes. It occurs when the relationship between the exposure and the outcome is mixed with the effects of other factors that influence the outcome. Given that, addressing confounding is of high importance for drawing accurate inferences in research.
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
Confounding can be addressed at both the design phase of a study and through analytical methods after data...
146
01:23Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
162
Biopharmaceutical studies constitute a vital field aiming to enhance drug delivery methods and refine therapeutic approaches, drawing upon diverse interdisciplinary knowledge. In research methodologies, the choice between controlled and non-controlled studies significantly influences the study's reliability and accuracy.
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast,...
162
01:28Survey Safety
76
Surveying near highways, rough terrain, or power lines involves significant risks. Working along highways is particularly dangerous and requires the use of warning signs and flagmen. It is safest to avoid working directly on roads and use offsets whenever possible. When highway work is unavoidable, it must follow all safety guidelines. Surveyors should wear bright clothing, such as orange reflective vests, to ensure visibility to motorists, coworkers, and hunters. In construction zones, wearing...
76