Analysis of Ground Subsidence Evolution Characteristics and Attribution Along the Beijing–Xiong’an Intercity Railway with Time-Series InSAR and Explainable Machine-Learning Technique

The long-term overextraction of groundwater in the Beijing–Tianjin–Hebei region has led to the formation of the world’s largest groundwater depression cone and the most extensive land subsidence zone, posing a potential threat to the operational safety of high-speed railways in the region. As a crit...

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Prif Awduron:	Xin Liu, Huili Gong, Chaofan Zhou, Beibei Chen, Yanmin Su, Jiajun Zhu, Wei Lu
Fformat:	Artigo
Iaith:	Inglês
Cyhoeddwyd:	MDPI AG 2025-02-01
Cyfres:	Land
Pynciau:	PS-InSAR explainable machine learning land subsidence evolution characteristics attribution analysis
Mynediad Ar-lein:	https://www.mdpi.com/2073-445X/14/2/364
Tagiau:	Ychwanegu Tag Dim Tagiau, Byddwch y cyntaf i dagio'r cofnod hwn!