University of Twente Student Theses
Time Series Analysis of Vegetation Dynamics to identify potential geothermal hotspots
Arora, Anna (2023) Time Series Analysis of Vegetation Dynamics to identify potential geothermal hotspots.
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| Abstract: | The reliance of the energy industry on fossil fuels makes it a prime contributor to greenhouse gas emissions, negatively impacting the goal of a sustainable world. Geothermal energy is one such sustainable source of energy that is being actively utilized for electricity production and as a heating source in many regions of the world, such as Iceland, Kenya, New Zealand, and some parts of the United States. These countries have highly active geothermal areas, which are usually characterized by surface manifestations such as fumaroles, hot springs, and steam emissions. While such expressions can help identify the active regions, the use of geothermal heat for electricity production requires points of a steeper subsurface geothermal gradient, often termed geothermal hotspots. Apart from geological and geophysical surveying and well exploration, many studies have employed geoinformation science and earth observation for preliminary exploration by examining the various surface characteristics such as lithology, mineralogy, soil characteristics, and topology. This study focused on studying the vegetation dynamics of the geothermally active regions and examining its use in detecting geothermal hotspots in the Olkaria region of Kenya. |
| Item Type: | Essay (Master) |
| Faculty: | ITC: Faculty of Geo-information Science and Earth Observation |
| Subject: | 38 earth sciences |
| Programme: | Geoinformation Science and Earth Observation MSc (75014) |
| Link to this item: | https://purl.utwente.nl/essays/96682 |
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