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Computer-based modelling and analysis in engineering geology

Student thesis: Doctoral Thesis

  • Dave Giles
This body of work presents the research and publications undertaken under a general theme of computer-based modelling and analysis in engineering geology. Papers are presented on geotechnical data management, data interchange, Geographical Information Systems, surface modelling, geostatistical methods, risk-based modelling, knowledge-based systems, remote sensing in engineering geology and on the integration of computer applications into applied geoscience teaching.
The work highlights my own personal contributions and publications under this theme as well as collaborations and output emanating from PhD co-supervisions which have included the following projects: A geotechnical and geochemical characterisation of dry oil lake contaminated soil in Kuwait; Dust dispersion monitoring and modelling; Geotechnical properties of chalk putties; The application of airborne multispectral remote sensing and digital terrain modelling to the detection and delineation of landslides on clay dominated slopes of the Cotswolds Escarpment; Domestic property insurance risks associated with brick earth deposits; Development of a knowledge-based system methodology for designing solid waste disposal sites in arid and semi-arid environments; GIS Techniques as an aid to the assessment of earthquake triggered landslide hazards; The application of GIS as a data integrator of pre-ground investigation desk studies for terrain evaluation and investigation planning; The influence of clay mineralogy pore water composition and pre-consolidation pressure on the magnitude of ground surface heave due to rises in groundwater level.
My publication record comprises; Pathfinder and seminal papers; Papers from co-supervised PhD programmes; Pedagogic contributions; Encyclopaedia entries; International collaborations; Technical authorship and support; Other published contributions; Confidential development and technical reports and Internal briefing papers.
Original languageEnglish
Awarding Institution
Supervisors/Advisors
Award dateOct 2014

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