Location and flux discrimination of water inrush using its spreading process in underground coal mine

Zhao, Yingwang; Wu, Qiang; Chen, Tuo; Zhang, Xiaoyan; Du, Yi; Yao, Yi

doi:10.1016/j.ssci.2019.104566

Cited by 15 publications

(10 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…According to the previous research on water inrush spreading processes in the underground mine (Li et al 2013a;Wu et al 2018;Zhao et al 2020), the corresponding spatial and temporal data such as water height and velocity can be obtained through numerical simulation for further discussion. The spreading process of one water inrush can be represented as a high-dimensional vector, x, by connecting the values at different locations over time (Zhao et al 2020), which is…”

Section: Numerical Assessment Modelmentioning

confidence: 99%

“…The driving face No.1 is located in a strong vulnerable zone and contains faults, so it is very likely to burst water. The basic law of curves of inrush flux at the bottom of this mine was outlined and designed by Zhao et al (2020). The water inrush from Ordovician limestone was simulated in this study, and the curve of which is shown in Figure 4.…”

Section: Identification Of the Parametersmentioning

confidence: 99%

“…The water inrush was simulated for 28 h, in order to make the case can fully analyze and demonstrate the depth, speed, and WH value characteristics of each water flow in the early, middle, and late stages after the occurrence of water disaster. The diffusion process of mine water can be simulated as one-dimensional, unsteady, and non-uniform open channel flow (Zhao et al 2020). The de Saint-Venant system of equations is established, according to the law of conservation of mass and the law of conservation of momentum.…”

Section: Identification Of the Parametersmentioning

confidence: 99%

“…The de Saint-Venant system of equations is established, according to the law of conservation of mass and the law of conservation of momentum. The corresponding spreading processes can be simulated by the SWMM (Zhao et al 2020) to obtain the water depth and flow velocity of inrush water along the mine roadways. In the future, these data could also be monitored by sensors during a mine water disaster, even identified and predicted by numerical models using artificial intelligence technologies (Alizadeh et al 2020;Zhao et al 2020).…”

Section: Identification Of the Parametersmentioning

confidence: 99%

See 3 more Smart Citations

Numerical assessment of the water-flow hazard to workers in the water disaster of underground mine

Yao

Zhao

et al. 2021

Journal of Hydroinformatics

Self Cite

View full text Add to dashboard Cite

Understanding the details of the water-flow hazard (WH) to workers in water disasters is extremely important in disaster-risk management. This paper aims to develop a numerical assessment model for the WH affecting worker safety. An assessment model of WH is proposed for water disasters in the underground mine, which includes two characteristics: (a) from water-disaster environment to WH of workers and (b) from multiple influencing factors to quantitative comprehensive quantification. To verify the feasibility of WH, it is applied to a water disaster in an underground coal mine. The simulation results highlight that the WH model can assess the hazard value of worker-1 (m = 72 kg, H = 1.72 m) at paragraph – 6134 and paragraph – 8840 of roadway, with different water-flow conditions, in the whole time of the disaster. Meanwhile, the differences between WH for three workers, worker-1, worker-2 (m = 95 kg, H = 1.82 m), and worker-3 (m = 60 kg, H = 1.62 m), under the same flow conditions are provided by the curve. Moreover, dynamic visualization of WH is achieved, which shows how the hazard of worker-1 changes into the time of 2, 5, 11, 19, and 27 h after a disaster in the full mine. Therefore, this numerical assessment can be used to evaluate the hazards posed by water flow to workers, which meets the urgent demands of water-disaster management for underground mines.

show abstract

Section: Numerical Assessment Modelmentioning

confidence: 99%

Section: Identification Of the Parametersmentioning

confidence: 99%

Section: Identification Of the Parametersmentioning

confidence: 99%

Section: Identification Of the Parametersmentioning

confidence: 99%

See 2 more Smart Citations

Numerical assessment of the water-flow hazard to workers in the water disaster of underground mine

Yao

Zhao

et al. 2021

Journal of Hydroinformatics

Self Cite

View full text Add to dashboard Cite

show abstract

“…However, the broadcast system still remains the main mode of the warning considering its alarm scope and user habits. Subsequently, once the mine water inrush accident happens, the location and the spreading speed of the accident can be obtained within a short time 3,4 . However, studies show that the emergency evacuation response in the mines has not been upgraded appropriately yet 5 .…”

Section: Introductionmentioning

confidence: 99%

A cloud‐based service for emergency evacuation of mine water inrush accidents

Yao

et al. 2020

Concurrency and Computation

Self Cite

View full text Add to dashboard Cite

Summary In a mine water inrush accident, a fast and accurate emergency evacuation response is essential for ensuring the miner's safety. Conventional emergency evacuation response in the mining industry lacks integration of data from monitoring systems and adjustment of the evacuation plan. In this study, a cloud‐based service, named the Cloud EE‐MWI, is proposed for the emergency evacuation for water inrush accidents to support managers in making the best decisions. The Cloud EE‐MWI's architecture consists of three layers, including the information, computation, and visualization layers. Information layer acquires data from monitoring systems and processes the collected data with pre‐saved basic information of the mine to generate a time‐varying network of the accident evolution. The computation layer constructs an workflow to find a reliable water‐avoiding route. The latest departure route algorithm is proposed and the time‐varying earliest arrival algorithm is implemented in parallel on cloud servers to boost the evacuation path planning. Finally, the visualization layer focuses on displaying data from sensors and obtained results from the computation layer on the web‐side. A real case study is investigated to demonstrate that the service can integrate the information of the monitoring systems and support the useful solution of the emergency evacuation.

show abstract

Introduction

Zeng,

Pang,

et al. 2023

Professional Practice in Earth Sciences

View full text Add to dashboard Cite

Location and flux discrimination of water inrush using its spreading process in underground coal mine

Cited by 15 publications

References 38 publications

Numerical assessment of the water-flow hazard to workers in the water disaster of underground mine

Numerical assessment of the water-flow hazard to workers in the water disaster of underground mine

A cloud‐based service for emergency evacuation of mine water inrush accidents

Introduction

Contact Info

Product

Resources

About