PhD student
M.Sc. Hong Ha Tran
Institute of Geotechnics
Gustav-Zeuner-Str. 1, Room 009
09599 Freiberg
Telephone +49 3731 39-2351
hong-ha.tran[at]doktorand.tu-freiberg.de
Project
Land subsidence analysis using InSAR, hydrogeological coupled modeling, and machine learning: A case study in Hanoi, Vietnam.
Abstract
Land subsidence has been a long-standing issue in Hanoi, causing significant infrastructural damage in urban areas. This study analyzes land subsidence in Hanoi from 2017 to 2020 by integrating InSAR, hydrogeological (HM) models, and machine learning to assess the correlation between groundwater withdrawal and subsidence, as well as the impact of various controlling factors.
Sentinel-1 SAR data from ascending and descending orbits were utilized to assess and quantify subsidence rates via Persistent Scatterer Interferometry (PSInSAR) and decomposition analysis spanning from March 17, 2017, to December 20, 2019 in both vertical and horizontal directions in Hanoi.
By employing the HM modelling framework using the Richards' equation method implemented in the OpenGeoSys platform, the relationship between groundwater drawdown, aquifer recharge, and its impact on land settlement was assessed.
The results from the HM model through a case study of two hotspot regions, Tay Ho and Ha Dong, were compared to the displacement data derived from InSAR analysis for calibration processing in both vertical and horizontal displacement results.
A sensitivity analysis using non-linear machine learning techniques with the CatBoost model, optimized by the hybrid Grey Wolf Optimization-Whale Optimization Algorithm (GWO-WOA) method, helps provide a comprehensive understanding and assessment of the key drivers of land subsidence in the study area.
Curriculum vitae
Education and training
Time period | Activity |
---|---|
2023 | Course of Applied Remote Sensing in Geoscience, TU Bergakademie Freiberg, Germany |
2022 | Module of Environmental Engineering Geology including Legacy contamination and soil remediation, Waste disposal, and Old mining, TU Bergakademie Freiberg, Germany |
since 10/2021 | PhD student at the Chair of Engineering Geology and Environmental Geotechnics, TU Bergakademie Freiberg |
2018 | EO College course of European Space Agency: “Echoes in space – Introduction to Radar Remote Sensing” |
2016 | Refresher course “Building coastal community resilience in Vietnam”,Asian Disaster Preparedness Center, Vietnam Institute of Geosciences and Mineral Resources, Hanoi, Vietnam |
2010 - 2013 | Master of geological engineering, Hanoi University of Mining and Geology, Hanoi, Vietnam |
2012 | Refresher course “waste management” and “wastewater treatment techniques”, Hanoi University of Science and Technology, Hanoi, Vietnam |
2011 | Refresher course “technical advances in mining engineering”, Hanoi University of Mining and Geology, Hanoi, Vietnam |
2005 - 2010 | Engineer in engineering geology and geotechnics, Hanoi University of Mining and Geology, Hanoi, Vietnam |
2009 | The training course on the laboratory of soil and building material, Geotechnical research center, Hanoi, Vietnam |
Employment history
Time period | Activity |
---|---|
Since 11/2011 | University lecturer at Department of Geo-Ecology & Environmental Technology, Faculty of Environment, Hanoi University of Mining and Geology, Hanoi, Vietnam |
Main publications
- Tran, H. H., Bui, L., Ha, H., Kim, T., & Butscher, C. (2023). Proposal of Study on InSAR-Based Land Subsidence Analysis as Basis for Subsequent Hydro-mechanical Modelling: A Case Study of Hanoi, Vietnam. Conference on Geo-spatial Technologies and Earth Resources (GTER 2022), Hanoi, Vietnam. Doi: 10.1007/978-3-031-20463-0_34.
- Kim, T., Tran, H. H., Phan, T., & Lipecki, T. 2023. Mining-Induced Land Subsidence Detected by Persistent Scatterer InSAR: Case Study in Pniówek Coal Mine, Silesian Voivodeship, Poland. Conference on Geo-spatial Technologies and Earth Resources (GTER 2022), Hanoi, Vietnam. Doi: 10.1007/978-3-031-20463-0_2.
- Luyen K.B, Phong V. V. L, Phuong D. D, Quoc N.N, Hai V. P, Tran, H.H, & Lei X, 2021. Recent land deformation detected by Sentinel-1A InSAR data (2016-2020) over Hanoi, Vietnam, and the relationship with groundwater level change. GIScience & Remote Sensing, 1-19. doi:10.1080/15481603.2020.1868198.
- Huong T.T.K, Tran, H.H, Luyen K.B, Lipecki Tomasz, 2021. Mining-induced Land Subsidence Detected by Sentinel-1 SAR Images: An Example from the Historical Tadeusz Kościuszko Salt Mine at Wapno, Greater Poland Voivodeship, Poland. Journal of the Polish Mineral Engineering Society, No 2(46), p. 41-52. http://doi.org/10.29227/IM-2021-02-04.
- Tran, H.H, Cuong Q.T, Busch W., Thuy V.H, 2021. Applying Sentinel-1 SAR data for land deformation monitoring in the Hanoi urban setting, Vietnam, Conference on Environmental management and natural resources development - EMNR 2020, Hanoi, Vietnam.
- Hung M.D, Ngan T.K.N, Tuan M.N, Tran, H.H, Binh V.N, Phi Q.N, 2016. Work geological conditions in Lao Cai city for forcasting of landslide risks. Environmental Issues in Mining and Natural Resources Development (EMNR 2016), Hanoi.
- Phi Q.N, Tran, H.H, Minh Q.N, 2016. Landslide hazard assessment on major routes from Bao Thang to Lao Cai city using analytic hierarchy process (AHP) method. Environmental Issues in Mining and Natural Resources Development (EMNR 2016), Hanoi.