Language: English
Published by Boydell Press 2014-05-15, 2014
ISBN 10: 184383894X ISBN 13: 9781843838944
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Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639148665 ISBN 13: 9783639148664
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Taschenbuch. Condition: Neu. Characteristic Periodic Variations of Surface Geothermal Features | A study of springs and geysers using wavelet and Fourier analysis, and system dynamics modelling | Jonathan Leaver | Taschenbuch | Einband - flex.(Paperback) | Englisch | 2009 | VDM Verlag Dr. Müller | EAN 9783639148664 | Verantwortliche Person für die EU: OmniScriptum GmbH & Co. KG, Bahnhofstr. 28, 66111 Saarbrücken, info[at]akademikerverlag[dot]de | Anbieter: preigu.
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Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639148665 ISBN 13: 9783639148664
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Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Leaver JonathanAssociate Professor Dr Jonathan Leaver works at Unitec Institutenof Technology, Auckland, New Zealand. Dr Leaver was formerlynChief Petroleum and Geothermal Inspector for the Ministry ofnCommerce. He holds a BE(Hons)(.
Language: English
Published by VDM Verlag Dr. Müller, 2009
ISBN 10: 3639148665 ISBN 13: 9783639148664
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - This study aims to identify and interpretcharacteristic periodic variations in surfacefeatures by analyzing measurements of water level,conductivity, temperature, rainfall and barometricpressure data. The measurements are filtered using anadaptive wavelet based filter to extract theinfluence of earth and gravity tides, rainfall, andbarometric pressure. Fourier analysis is used tofurther examine the content of the extracted signals.A system dynamics model of a spring is formulated todemonstrate fundamental heat and mass transfer. Thisstudy aims to provide an understanding of the effectsof periodic forcing functions on geothermal featuresbased on high accuracy measurements taken at highsampling rates. Once the amplitude and frequency ofany forcing functions have been identified, these canbe monitored to minimise the time to identify andquantify any changes in reservoir characteristics.