Szczegóły publikacji

Opis bibliograficzny

Proposal of study on InSAR-based land subsidence analysis as basis for subsequent hydro-mechanical modeling: a case study of Hanoi, Vietnam / Hong Ha Tran, Luyen K. Bui, Hung Q. Ha, Thi Thu Huong KIM, Christoph Butscher // W: Advances in Geospatial Technology in Mining and Earth Sciences : selected papers of the 2nd International Conference on Geo-spatial Technologies and Earth Resources 2022 / eds. Long Quoc Nguyen, [et al.]. — Cham : Springer Nature AG, cop. 2023. — (Environmental Science and Engineering ; ISSN 1863-5520). — ISBN: 978-3-031-20462-3; e-ISBN: 978-3-031-20463-0. — S. 535–548. — Bibliogr., Abstr. — T. T. H. Kim - dod. afiliacja: Faculty of Geomatics and Land Administration, Hanoi University of Mining and Geology, Hanoi, Vietnam

Autorzy (5)

Słowa kluczowe

InSARHanoihydro-mechanical modellingOpenGeoSysland subsidence

Dane bibliometryczne

ID BaDAP150050
Data dodania do BaDAP2023-12-15
DOI10.1007/978-3-031-20463-0_34
Rok publikacji2023
Typ publikacjimateriały konferencyjne (aut.)
Otwarty dostęptak
WydawcaSpringer
Czasopismo/seriaEnvironmental Science and Engineering

Abstract

In recent years, land subsidence has been intensively studied by many research projects due to its severe impacts on the human and environment. Radar remote sensing for mapping ground movement has been successfully applied in several areas for the quantification of land subsidence. In this paper, previous Interferometric Synthetic Aperture Radar (InSAR) studies for Hanoi, Vietnam, are reviewed. Specifically, SAR data at the X, C, and L bands have been applied successfully using mainly the small baseline subset (SBAS) and Persistent Scatterer InSAR (PSInSAR) methods for extracting deformation movement in the urban setting of Hanoi from 1995 to the present. Whereby, line-of-sight land deformation obtained from these studies was converted into the vertical direction with the assumption that horizontal movement in the urban setting of Hanoi is insignificant. However, the analysis of the relationship between InSAR deformation and triggering factors was not fully conducted. Therefore, a workflow in the part of the discussion in this paper is introduced that shows how subsidence data can be interpreted with the help of coupled hydro-mechanical simulations conducted with numerical multi-physics software. We present the data basis and model setup for the planned modeling study with the open-source software platform OpenGeoSys.

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