G. Wadge

University of Reading

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Co-Authors

Henry Odbert

Met Office

M. R. James

Lancaster University

Eliza S. Calder

University of Edinburgh

G. Ryan

University of the West Indies

David G. Macfarlane

University of St Andrews

R. S. J. Sparks

University of Bristol

Susan Loughlin

British Geological Survey

Juliet Biggs

University of Bristol

Arthur W. Snoke

University of Wyoming

N. F. Stevens

University of Wisconsin–Madison

Cooperative Institutions

Montserrat Volcano Observatory

University of Reading

University of Bristol

United States Geological Survey

University of the West Indies

University of Cambridge

University of Oxford

Centre National de la Recherche Scientifique

British Geological Survey

University of the West Indies System

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A porous flow model for the geometrical form of volcanoes—critical comments

Earth and Planetary Science Letters (1982)

G. Wadge P. W. Francis

10.1016/0012-821x(82)90165-0

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Citations (7)

Assessing the pyroclastic flow hazards from dome collapse at Soufriere Hills Volcano, Montserrat

The Geological Society of London on behalf of The International Association of Volcanology and Chemistry of the Earth's Interior eBooks (2018)

G. Wadge

Professor George Patrick Leonard Walker was one of the fathers of modern quantitative volcanology and arguably the foremost volcanologist of the twentieth century. In his long career, George studied a wide spectrum of volcanological problems and in doing so influenced almost every branch of the field. This volume, which honours his memory and his contributions to the field of volcanology, contains a collection of papers inspired by, and building upon, many of the ideas previously developed by George. Many of the contributors either directly studied under and worked with George, or were profoundly influenced by his ideas. The topics broadly fall under the three themes of lava flows and effusion, explosive volcanism, and volcanoes and their infrastructure.

George (robot)

Volcanology

Lava dome

Dome (geology)

10.1144/iavcel002.11

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Citations (17)

Modeling of atmospheric effects on InSAR measurements by incorporating terrain elevation information

Journal of Atmospheric and Solar-Terrestrial Physics (2006)

Zhiwei Li Xiaoli Ding Cheng Huang G. Wadge D.W. Zheng

Elevation (ballistics)

Zenith

Interpolation

10.1016/j.jastp.2006.03.002

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Citations (41)

Chapter 13 AVTIS observations of lava dome growth at Soufrière Hills Volcano, Montserrat: 2004 to 2011

Geological Society London Memoirs (2014)

G. Wadge David G. Macfarlane Henry Odbert A. Stinton Duncan A. Robertson

Abstract To solve the problem of lava dome growth at Soufrière Hills Volcano (SHV) being invisible and unmeasured owing to cloud, we have designed, built and deployed a ground-based millimetre-wave radar/radiometer: the All-weather Volcano Topography Imaging Sensor (AVTIS). In this chapter, after an outline technical sketch of the instruments, we describe the campaigns between 2004 and 2011 used to test their capabilities. We then present results from the campaigns to illustrate how signals of volcanological interest can be retrieved. The primary measurements of AVTIS are range (to within, at best, about 1 m), and, from that, topography, topographical change and effusion rates, and surface temperature (to within a few degrees Celsius). Changes in radar reflectivity can indicate surface processes (e.g. mass wasting). Surface motion within the instantaneous field of view produces a Doppler signal that allows detection of rockfall. Attenuation of the signal by rain along the path can, when stacked temporally, give an image of rain cloud structure and, by calibration, a rate of rainfall. We regard a strategy of two radars – one permanantly mounted (at Windy Hill) autonomous instrument, and the other used as a rover – as being best for capturing dome growth.

Lava dome

Dome (geology)

10.1144/m39.13

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Citations (7)

Measuring large topographic change with InSAR: Lava thicknesses, extrusion rate and subsidence rate at Santiaguito volcano, Guatemala

Earth and Planetary Science Letters (2012)

S. K. Ebmeier Juliet Biggs Tamsin A. Mather John R. Elliott G. Wadge

10.1016/j.epsl.2012.04.027

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Citations (93)

Field testing of the AVTIS radarometer at Soufriere Hills and Arenal volcanoes.

G. Wadge David G. Macfarlane Duncan A. Robertson A. J. Hale H. Pinkerton

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Time series analysis of lava flux

Journal of Volcanology and Geothermal Research (2009)

Henry Odbert G. Wadge

10.1016/j.jvolgeores.2009.09.005

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Citations (19)

The Application of Numerical Modelling of Tropospheric Water Vapour To The Measurement of Ground Motion By Synthetic Aperture Radar Interferometry (insar).

EGS General Assembly Conference Abstracts (2002)

P. W. Webley G. Wadge I. N. James R. M. Bingley Alan Dodson

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Steady-state magma discharge at Etna 1971–81 (reply)

Nature (1983)

G. Wadge J. E. Guest

10.1038/301175b0

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Simulation of geological processes using an expert system

Journal of the Geological Society (1992)

G. Wadge P. A. Young David C. Mason

Regional geological processes may be simulated rapidly using a combination of image processing and expert system techniques. Rapid, interactive simulations are achieved with image processing and a reduction of the problem to the two map dimensions. In order to manage these multiple simulations, expert system software is used to infer the optimum path through the modelling options. We illustrate our approach by referring to a computer system designed to produce maps of the prospectivity of carbonate-hosted Pb-Zn-F-Ba buried mineralization in the East Midlands of England. The system simulates the process of mineralization near the end of the Carboniferous involving the rapid expulsion of metal-rich brines from a series of small, shale basins by E-W compressive tectonism. There is preferential migration of these fluids along reactivated basin-bounding faults and deposition of the metals as sulphides within neighbouring limestone platforms. Computer simulation using this or similar approaches has particular potential for multidisciplinary projects in regional geology where disciplinary expertise in handling different types of data and in performing the simulation needs to be replicated.

10.1144/gsjgs.149.3.0455

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