Characteristic Periodic Variations of Surface Geothermal Features
A study of springs and geysers using wavelet and Fourier analysis, and system dynamics modelling
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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 perio...
This study aims to identify and interpret
characteristic periodic variations in surface
features by analyzing measurements of water level,
conductivity, temperature, rainfall and barometric
pressure data. The measurements are filtered using an
adaptive wavelet based filter to extract the
influence of earth and gravity tides, rainfall, and
barometric pressure. Fourier analysis is used to
further examine the content of the extracted signals.
A system dynamics model of a spring is formulated to
demonstrate fundamental heat and mass transfer. This
study aims to provide an understanding of the effects
of periodic forcing functions on geothermal features
based on high accuracy measurements taken at high
sampling rates. Once the amplitude and frequency of
any forcing functions have been identified, these can
be monitored to minimise the time to identify and
quantify any changes in reservoir characteristics.
characteristic periodic variations in surface
features by analyzing measurements of water level,
conductivity, temperature, rainfall and barometric
pressure data. The measurements are filtered using an
adaptive wavelet based filter to extract the
influence of earth and gravity tides, rainfall, and
barometric pressure. Fourier analysis is used to
further examine the content of the extracted signals.
A system dynamics model of a spring is formulated to
demonstrate fundamental heat and mass transfer. This
study aims to provide an understanding of the effects
of periodic forcing functions on geothermal features
based on high accuracy measurements taken at high
sampling rates. Once the amplitude and frequency of
any forcing functions have been identified, these can
be monitored to minimise the time to identify and
quantify any changes in reservoir characteristics.
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