Predicted water yield of open-pit metal mines based on a Bi-RNN and GMS coupling model

Predicted water yield of open-pit metal mines based on a Bi-RNN and GMS coupling model

ObjectiveAccurately predicting water yield of mine before mining can provide directive guidance for preventing potential water hazards and ensuring safe production. MethodsTo enhance the prediction accuracy and stability of water yield of open-pit metal mines, for which atmospheric precipitation act...

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Bibliographic Details
Main Authors: Yuxing ZHAO, Xiangwen LI
Format: Article
Language:zho
Published: Editorial Office of Coal Geology & Exploration 2024-12-01
Series:Meitian dizhi yu kantan
Subjects:
open-pit mine
predicted water yield of mine
bidirectional recurrent neural network (bi-rnn)
global forecast system (gfs)
groundwater modeling system (gms)
deep learning
Online Access:http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.07.0489
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http://www.mtdzykt.com/article/doi/10.12363/issn.1001-1986.24.07.0489

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