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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
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Shaoxiong Zhang

Shaoxiong Zhang

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

Yafan Liu

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

Huiqing Wang

Shijiazhuang Hufu Engineering Co., LtdShijiazhuang, China
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Wang, Huiqing
  
02 giu 2023
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Pubblicato online: 02 giu 2023
Ricevuto: 18 mag 2022
Accettato: 24 ott 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
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Inglese
Frequenza di pubblicazione:
1 volte all'anno
Argomenti della rivista:
Scienze biologiche, Scienze della vita, altro, Matematica, Matematica applicata, Matematica generale, Fisica, Fisica, altro
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