Numerical Simulation of Inrush Water Spreading Through a Mine: A Case Study of the Beixinyao Mine, Shanxi Province, China

Wu, Qiang; Zhang, Xiaoyan; Zhao, Yingwang; Li, Peitao; Yao, Yi; Du, Zhili; Xu, Hua; Wang, Xiao

doi:10.1007/s10230-021-00841-8

Cited by 7 publications

(6 citation statements)

References 34 publications

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“…The number of traverse points in the mine roadway is 1658. On this basis, 8761 nodes are finally obtained by using the numerical interpolation method [39] . And then the topological structure of the mine roadway is established by these nodes and their connectivity (Fig.…”

Section: Topological Structure Of Mine Roadwaymentioning

confidence: 99%

“…It can be seen from Table 1 that the corresponding relationship between risk level of water inrush and monitoring response time T. Therefore, the monitoring response time T of the Beiyangzhuang coal mine can be expressed as follows: Tw = tr w∈Ir tr = (3600,3000,2100,900) r = 1,2, 3, 4 w is the serial number of roadway topology node, Tw is the corresponding monitoring response time of roadway topology node w. The water inrush process can be simulated by the SWMM (the Storm Water Management) software after the topological structure of the mine roadway has been built. The software is widely used in the simulation of groundwater flow [39][40][41][42] . The dynamic simulation of water inrush spread process can be carried out based on building a SWMM model suitable for the mine roadway calculation by analyzing the simulation method and parameter selection, and setting reasonable boundary conditions [39] .…”

Section: Fig 4 Comprehensive Zoning Evaluation Of Water Inrush Risk O...mentioning

confidence: 99%

“…The software is widely used in the simulation of groundwater flow [39][40][41][42] . The dynamic simulation of water inrush spread process can be carried out based on building a SWMM model suitable for the mine roadway calculation by analyzing the simulation method and parameter selection, and setting reasonable boundary conditions [39] .…”

Section: Fig 4 Comprehensive Zoning Evaluation Of Water Inrush Risk O...mentioning

confidence: 99%

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WITHDRAWN: Study on multi-constraint and multi-objective optimization layout method of monitoring network for mine water inrush

Qiang

Zhao

et al. 2022

Preprint

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Disastrous water inrush often causes heavy property losses and even casualties, while the current theory and technology of mine water prevention and control can not accurately predict the time and place of disastrous water inrush in mine, so monitoring disastrous water inrush has become an urgent problem to be solved. Through the networked deployment of water level sensors in the roadway, this paper proposes a monitoring network for catastrophic water inrush in coal mine, and studies a multi-constraint and multi-objective optimal deployment method for the monitoring network. By setting three practical constraints of mining area, risk level of water inrush and installation at specified location, and constructing two objective functions of minimum total cost and minimum average monitoring time, a mathematical model is established, and then NSGA - Ⅱ multi-objective genetic algorithm is designed to solve the model. As results, the method can optimize the monitoring network for mine water inrush from two dimensions of time and space. The proposed method is then verified in the Beiyangzhuang coal mine in the North China. The results show that the average time of the catastrophic water inrush monitored can be controlled within 916 seconds by using only 28 water level sensors, and the higher the risk level of water inrush, the shorter the monitoring response time. Due to the constraints of installation at specified location, the monitoring network can also take into account monitoring the daily water inflow in the Beiyangzhuang coal mine.

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Section: Topological Structure Of Mine Roadwaymentioning

confidence: 99%

Section: Fig 4 Comprehensive Zoning Evaluation Of Water Inrush Risk O...mentioning

confidence: 99%

Section: Fig 4 Comprehensive Zoning Evaluation Of Water Inrush Risk O...mentioning

confidence: 99%

See 1 more Smart Citation

WITHDRAWN: Study on multi-constraint and multi-objective optimization layout method of monitoring network for mine water inrush

Qiang

Zhao

et al. 2022

Preprint

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“…The number of traverse points along the mine roadway was 1658. On this basis, 8761 nodes were finally obtained using the numerical interpolation method 29 . The topological structure of the mine roadway was then established by these nodes and their connectivity (Fig.…”

Section: Examplesmentioning

confidence: 99%

“…The water inrush process was simulated using the United States Environmental Protection Agency (USEPA) Storm Water Management Model (SWMM) after the topological structure of the mine roadway had been determined. The dynamic simulation of the water inrush spread process was constructed after building an SWMM model suitable for calculations along the mine roadway by analyzing the simulation method and parameter selection, and then setting reasonable boundary conditions 29 .…”

Section: Examplesmentioning

confidence: 99%

A multi-constraint and multi-objective optimization layout method for a mine water inrush monitoring network

Zhao

et al. 2023

Sci Rep

Self Cite

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Mine water inrush can cause property losses and casualties, but current theoretical and technological approaches cannot accurately predict such events. Through the networked deployment of water level sensors along a mine roadway, a mine water inrush monitoring network was developed, and a multi-constraint and multi-objective optimal deployment method was established. By setting practical constraints of the mining area, water inrush risk level, and installation at specified locations, and considering two objective functions of minimum total cost and minimum average monitoring time, a mathematical model was established. The non-dominated sorting genetic algorithm II (NSGA-II) was designed to solve the model. The method temporally and spatially optimized the network, which was then verified in the Beiyangzhuang coal mine in north China. The average response time of the monitoring network was 916 s using only 28 water level sensors. The higher the water inrush risk level, the shorter the monitoring network response time. Under the 2, 3, and 4 risk levels, the network’s response time to simulated water inrush accidents was less than 3000, 2100, and 900 s, respectively. The multi-constraint and multi-objective optimization layout method further enhanced the effectiveness of the network, providing a novel system for the early warning of mine water inrush.

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Eine Methode zur Kontrolle von Wassergefahren in Deckschichten von tiefen Jurakohlen, welche auf der sedimentären Fazies begründet ist

Wang

et al. 2023

Mine Water Environ

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Numerical Simulation of Inrush Water Spreading Through a Mine: A Case Study of the Beixinyao Mine, Shanxi Province, China

Cited by 7 publications

References 34 publications

WITHDRAWN: Study on multi-constraint and multi-objective optimization layout method of monitoring network for mine water inrush

WITHDRAWN: Study on multi-constraint and multi-objective optimization layout method of monitoring network for mine water inrush

A multi-constraint and multi-objective optimization layout method for a mine water inrush monitoring network

Eine Methode zur Kontrolle von Wassergefahren in Deckschichten von tiefen Jurakohlen, welche auf der sedimentären Fazies begründet ist

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