Space-time evolutions of land subsidence in the choushui river alluvial fan (Taiwan) from multiple-sensor observations

Yi An Chen, Chung Pai Chang, Wei Chia Hung, Jiun Yee Yen, Chih Heng Lu, Cheinway Hwang

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

Land subsidence is a significant problem around the world that can increase the risk of flooding, damage to infrastructure, and economic loss. Hence, the continual monitoring of subsidence is important for early detection, mechanism understanding, countermeasure implementation, and deformation prediction. In this study, we used multiple-sensor observations from the Continuous Global Positioning System (CGPS), the small baseline subset (SBAS) algorithm, interferometric synthetic-aperture radar (InSAR), precise leveling, multi-layer compaction monitoring wells (MLCWs), and groundwater observation wells (GWs) to show the spatial and temporal details of land subsidence in the Choushui River alluvial fan (CRAF), Taiwan, from 1993 to 2019. The results showed that significant land subsidence has occurred along the coastal areas in the CRAF, and most of the inland subsidence areas have also experienced higher subsidence rates (>30 mm/yr). The analysis of subsidence along the Taiwan High Speed Rail (THSR) revealed a newly formed subsidence center between Tuku and Yuanchang Townships in Yunlin, with high subsidence rates ranging from 30 to 70 mm/yr. We propose a map showing, for the first time, the distribution of deep compactions occurring below 300 m depth in the CRAF.

Original languageEnglish
Article number2281
JournalRemote Sensing
Volume13
Issue number12
DOIs
StatePublished - 2 Jun 2021

Keywords

  • Choushui River alluvial fan
  • Global positioning system
  • Groundwater
  • Interferometric synthetic-aperture radar
  • Land subsidence
  • Multi-layer compaction monitoring well
  • Precise leveling
  • Small baseline subset
  • Taiwan High Speed Rail

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