Výsledky vyhledávání

Machine Learning-based Natural Terrain Landslide Susceptibility Analysis – A Pilot Study

Autor: H W M Li, R H L Li, C C J Wong, F L C Lo

Publikováno v: Proceedings of The HKIE Geotechnical Division 42nd Annual Seminar: A New Era of Metropolis and Infrastructure Developments in Hong Kong, Challenges and Opportunities to Geotechnical Engineering.

Recently, the Geotechnical Engineering Office has initiated a pilot study on data-driven landslide susceptibility analysis (LSA) using a machine learning (ML) approach. A study area covering about one-fifth of the total natural hillside area of Hong

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6c657f8c6d5144fee06ace4bbe92d1a7
https://doi.org/10.21467/proceedings.133.8

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Monitoring of a Peanut-shaped TBM Launching Shaft Excavation using Fibre Optics and Remote Sensing Techniques

Autor: I Li, E H Y Sze, F L C Lo, S Q Lin, D Y Tan, A Y F Leung, A W Y Chan, T C W Wong, E Y M Chan

The trial application of fibre optics and remote sensing techniques for monitoring a peanut-shaped tunnel boring machine (TBM) launching shaft in the Trunk Road T2 and Cha Kwo Ling Tunnel project has recently been completed. This is the first time in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::94367c8bc9c12677d4d3a7859444343a
https://doi.org/10.21467/proceedings.133.34

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Enhancing Preparedness Against Impact of Climate Change on Slope Safety in Hong Kong

Autor: H. W. Sun, F. L. C. Lo, E. J. Lam, K. K. S. Ho

Publikováno v: Understanding and Reducing Landslide Disaster Risk ISBN: 9783030603182

Over the past 40 years, a comprehensive slope safety system has been developed and implemented by the Geotechnical Engineering Office (GEO) to manage the landslide risk in Hong Kong to a reasonably low level. However, extreme rainfall events due to t

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::225740d7dca6aa3a238683f46fd34f1a
https://doi.org/10.1007/978-3-030-60319-9_23

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Territory-Wide Identification of Geological Features on Aerial Photographs Using Machine Learning for Slope Safety Management

Autor: F. L. C. Lo, J. S. H. Kwan, M. S. Wong, J. W. Z. Shi, S. Millis, C. Y. T. Kwok, W. K. Leung

Publikováno v: Information Technology in Geo-Engineering ISBN: 9783030320287

In Hong Kong, the natural terrain is susceptible to rain induced landslides. These landslides are usually of small-to-medium scale, involving the failure of soil within the top one to two meters of the surface mantle. A comprehensive historical lands

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d105a7556d3083cf58dd750fc0f9c01f
https://doi.org/10.1007/978-3-030-32029-4_46

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