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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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 |
work_keys_str_mv |
AT elenacreinisch geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016 AT stabrezali geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016 AT michaelcardiff geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016 AT jolekaven geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016 AT kurtlfeigl geodeticmeasurementsandnumericalmodelsofdeformationatcosogeothermalfieldcaliforniausa20042016 |
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1725336804634132480 |