2023
DOI: 10.21203/rs.3.rs-3442836/v1
|View full text |Cite
Preprint
|
Sign up to set email alerts
|

Land Subsidence Prediction in Coal Mining Using Machine Learning Models and Optimization Techniques

shirin jahanmiri,
Majid Noorian-Bidgoli

Abstract: Land surface subsidence is an environmental hazard resulting from the extraction of underground resources. In underground mining, when mineral materials are extracted deep within the ground, the emptying or caving of the mined spaces leads to vertical displacement of the ground, known as subsidence. This subsidence can extend to the surface as troughs subsidence, as the movement and deformation of the hanging-wall rocks of the mining stope propagate upwards. Accurately predicting subsidence is crucial for esti… Show more

Help me understand this report
View published versions

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 60 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?