Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016

We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the re...

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Main Authors: Elena C. Reinisch, S. Tabrez Ali, Michael Cardiff, J. Ole Kaven, Kurt L. Feigl
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
Online Access:https://www.mdpi.com/2072-4292/12/2/225
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spelling doaj-24e629540a114d4185e3e59977974b3b2020-11-25T00:28:08ZengMDPI AGRemote Sensing2072-42922020-01-0112222510.3390/rs12020225rs12020225Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016Elena C. Reinisch0S. Tabrez Ali1Michael Cardiff2J. Ole Kaven3Kurt L. Feigl4Department of Geoscience at the University of Wisconsin-Madison, Madison, WI 53706, USAAIR-Worldwide, Boston, MA 02116, USADepartment of Geoscience at the University of Wisconsin-Madison, Madison, WI 53706, USAU.S.G.S. Earthquake Science Center, Menlo Park, CA 94025, USADepartment of Geoscience at the University of Wisconsin-Madison, Madison, WI 53706, USAWe measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the reservoir as a cuboidal sink and solve for best-fitting reservoir dimensions and locations before and after 2010 in accordance with sustainability efforts implemented in late 2009 at the site. Time-series analysis is performed on volume changes estimated from pairs of synthetic aperture radar (SAR) and daily GPS data. We identify decreasing pore-fluid pressure as the dominant mechanism driving the subsidence observed at Coso geothermal field. We also find a significant positive correlation between deformation and production rate.https://www.mdpi.com/2072-4292/12/2/225transient deformationspatial analysisnumerical solutionssatellite geodesy
collection DOAJ
language English
format Article
sources DOAJ
author Elena C. Reinisch
S. Tabrez Ali
Michael Cardiff
J. Ole Kaven
Kurt L. Feigl
spellingShingle Elena C. Reinisch
S. Tabrez Ali
Michael Cardiff
J. Ole Kaven
Kurt L. Feigl
Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
Remote Sensing
transient deformation
spatial analysis
numerical solutions
satellite geodesy
author_facet Elena C. Reinisch
S. Tabrez Ali
Michael Cardiff
J. Ole Kaven
Kurt L. Feigl
author_sort Elena C. Reinisch
title Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
title_short Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
title_full Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
title_fullStr Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
title_full_unstemmed Geodetic Measurements and Numerical Models of Deformation at Coso Geothermal Field, California, USA, 2004–2016
title_sort geodetic measurements and numerical models of deformation at coso geothermal field, california, usa, 2004–2016
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2020-01-01
description We measure transient deformation at Coso geothermal field using interferometric synthetic aperture radar (InSAR) data acquired between 2004 and 2016 and relative positions estimated from global positioning system (GPS) to quantify relationships between deformation and pumping. We parameterize the reservoir as a cuboidal sink and solve for best-fitting reservoir dimensions and locations before and after 2010 in accordance with sustainability efforts implemented in late 2009 at the site. Time-series analysis is performed on volume changes estimated from pairs of synthetic aperture radar (SAR) and daily GPS data. We identify decreasing pore-fluid pressure as the dominant mechanism driving the subsidence observed at Coso geothermal field. We also find a significant positive correlation between deformation and production rate.
topic transient deformation
spatial analysis
numerical solutions
satellite geodesy
url https://www.mdpi.com/2072-4292/12/2/225
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AT stabrezali geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016
AT michaelcardiff geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016
AT jolekaven geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016
AT kurtlfeigl geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016
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