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Applications of fault modeling and r...
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Glasscoe, Margaret Tina.
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Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response.
Record Type:
Electronic resources : Monograph/item
Title/Author:
Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response./
Author:
Glasscoe, Margaret Tina.
Description:
91 p.
Notes:
Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Contained By:
Dissertation Abstracts International77-02B(E).
Subject:
Geophysics. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3723622
ISBN:
9781339064550
Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response.
Glasscoe, Margaret Tina.
Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response.
- 91 p.
Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
Thesis (Ph.D.)--University of California, Davis, 2015.
Getting the right information to the right people at the right time is critical during a natural disaster. Earthquakes pose a significant risk to many regions worldwide, and as recent large events such as the 2010 Haiti, the 2011 Tohoku-Oki Japan, the 2011 Christchurch New Zealand, and the most recent 2015 Ghorka Nepal earthquakes have demonstrated, organized and rapid disaster response is critical in the wake of the devastation that can follow. Geodetic imaging data, including from interferometric synthetic aperture radar (InSAR) and GPS, as well as other remotely sensed data, have proven vital in earthquake research. As more of these types of data have become increasingly available, they have also shown great utility for providing key information for disaster response. Work has been done to translate these data into useful and actionable information for decision makers in the event of an earthquake disaster. In addition to observed data, modeling tools provide essential preliminary estimates while data are still being collected and/or processed, which can be refined as data products become available. Now, with more data and better models, we are able to supply these to responders who need simple tools and routinely produced data products. The work described herein details a number of modeling and remote sensing techniques for assessing fault and earthquake hazards and the applications of these techniques to decision support and disaster response in the event of an earthquake and other natural disasters.
ISBN: 9781339064550Subjects--Topical Terms:
535228
Geophysics.
Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response.
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Applications of fault modeling and remote sensing for hazard analysis, decision support and disaster response.
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91 p.
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Source: Dissertation Abstracts International, Volume: 77-02(E), Section: B.
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Adviser: Louise H. Kellogg.
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Thesis (Ph.D.)--University of California, Davis, 2015.
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Getting the right information to the right people at the right time is critical during a natural disaster. Earthquakes pose a significant risk to many regions worldwide, and as recent large events such as the 2010 Haiti, the 2011 Tohoku-Oki Japan, the 2011 Christchurch New Zealand, and the most recent 2015 Ghorka Nepal earthquakes have demonstrated, organized and rapid disaster response is critical in the wake of the devastation that can follow. Geodetic imaging data, including from interferometric synthetic aperture radar (InSAR) and GPS, as well as other remotely sensed data, have proven vital in earthquake research. As more of these types of data have become increasingly available, they have also shown great utility for providing key information for disaster response. Work has been done to translate these data into useful and actionable information for decision makers in the event of an earthquake disaster. In addition to observed data, modeling tools provide essential preliminary estimates while data are still being collected and/or processed, which can be refined as data products become available. Now, with more data and better models, we are able to supply these to responders who need simple tools and routinely produced data products. The work described herein details a number of modeling and remote sensing techniques for assessing fault and earthquake hazards and the applications of these techniques to decision support and disaster response in the event of an earthquake and other natural disasters.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3723622
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