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Analysis of quantitative management of online intelligent monitoring of tailing ponds based on the perspective of safety prevention and control

Wenjun Ma

Wenjun Ma

  • Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
  • Hebei Provincial Academy of Emergency Management SciencesShijiazhuang, China
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Ma, Wenjun
, 
Liting Zhang

Liting Zhang

Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
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Zhang, Liting
, 
Shaoxiong Zhang

Shaoxiong Zhang

Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
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Zhang, Shaoxiong
, 
Yafan Liu

Yafan Liu

Shijiazhuang University of Applied Technology, Department of Architectural EngineeringShijiazhuang, China
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Liu, Yafan
 and 
Huiqing Wang

Huiqing Wang

Shijiazhuang Hufu Engineering Co., LtdShijiazhuang, China
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Wang, Huiqing
  
Jun 02, 2023
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Published Online: Jun 02, 2023
Received: May 18, 2022
Accepted: Oct 24, 2022
DOI: https://doi.org/10.2478/amns.2023.1.00204
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© 2023 Wenjun Ma et al., published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
Ma, Wenjun
Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
Hebei Provincial Academy of Emergency Management SciencesShijiazhuang, China
Zhang, Liting
Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
Zhang, Shaoxiong
Shijiazhuang Tiedao University, School of Civil EngineeringShijiazhuang, China
Liu, Yafan
Shijiazhuang University of Applied Technology, Department of Architectural EngineeringShijiazhuang, China
Wang, Huiqing
Shijiazhuang Hufu Engineering Co., LtdShijiazhuang, China
Language:
English
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1 times per year
Journal Subjects:
Life Sciences, Life Sciences, other, Mathematics, Applied Mathematics, General Mathematics, Physics, Physics, other
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