Revealing large-scale surface subsidence in Jincheng City’s mining clusters using MT-InSAR and VMD-S...
Revealing large-scale surface subsidence in Jincheng City’s mining clusters using MT-InSAR and VMD-SSA-LSTM time series prediction model
About this item
Full title
Author / Creator
Yang, Fan , Zhi, Menghui and An, Yan
Publisher
London: Nature Publishing Group UK
Journal title
Language
English
Formats
Publication information
Publisher
London: Nature Publishing Group UK
Subjects
More information
Scope and Contents
Contents
Jincheng City’s mining areas have long been plagued by surface subsidence, posing significant threats to local residents’ safety and impacting the region’s economic and social stability. Understanding and effectively monitoring the driving factors and mechanisms of surface subsidence are crucial for devising scientific prevention measures and promo...
Alternative Titles
Full title
Revealing large-scale surface subsidence in Jincheng City’s mining clusters using MT-InSAR and VMD-SSA-LSTM time series prediction model
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_b1ee6c358c3e46d9943ac846cf95ecbb
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_b1ee6c358c3e46d9943ac846cf95ecbb
Other Identifiers
ISSN
2045-2322
E-ISSN
2045-2322
DOI
10.1038/s41598-025-88524-0
