NSF Org:	CCF Division of Computing and Communication Foundations
Recipient:	GEORGIA STATE UNIVERSITY RESEARCH FOUNDATION INC
Initial Amendment Date:	August 22, 2014
Latest Amendment Date:	August 22, 2014
Award Number:	1442630
Award Instrument:	Standard Grant
Program Manager:	Anita Nikolich CCF  Division of Computing and Communication Foundations CSE  Directorate for Computer and Information Science and Engineering
Start Date:	January 15, 2015
End Date:	December 31, 2016 (Estimated)
Total Intended Award Amount:	$525,025.00
Total Awarded Amount to Date:	$525,025.00
Funds Obligated to Date:	FY 2014 = $80,997.00
History of Investigator:	WenZhan Song (Principal Investigator) wsong@uga.edu
Recipient Sponsored Research Office:	Georgia State University Research Foundation, Inc. 58 EDGEWOOD AVE NE ATLANTA GA  US  30303-2921 (404)413-3570
Sponsor Congressional District:	05
Primary Place of Performance:	Georgia State University 34 Peachtree Street, Suite 1451 ATLANTA GA  US  30302-3994
Primary Place of Performance Congressional District:	05
Unique Entity Identifier (UEI):	MNS7B9CVKDN7
Parent UEI:
NSF Program(s):	CyberSEES
Primary Program Source:	01001415DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):	8208
Program Element Code(s):	821100
Award Agency Code:	4900
Fund Agency Code:	4900
Assistance Listing Number(s):	47.070

ABSTRACT

This project creates a real-time Ambient Noise Seismic Imaging system, to study and monitor the subsurface sustainability and potential hazards of geological structures. Understanding and addressing the subsurface sustainability has significant impact on the natural, social, and economic issues of the region and across the globe. The system is comprised of a self-sustainable sensor network of geophones that can autonomously perform in-network computing of the 3D shallow earth structure images based on ambient noise alone. The project will study the subsurface sustainability of Long Beach, California and Yellowstone using their existing seismic array datasets and design the imaging system accordingly. In the late stages of the project, a field demonstration of the prototype system in Yellowstone expects to image the subsurface of some geysers. The techniques developed find further utility in monitoring and understanding the dynamics of subsurface oil, mine and geothermal resources, alongside concomitant hazards in oil exploration, mining, hydrothermal eruption, and volcanic eruption).

Real-time imaging of shallow earth structures is essential to assess the sustainability and potential hazards of geological structures. The ability to deploy large wireless sensor arrays in challenging environments is significant for any real-time hazard monitoring and early warning system. The new approach taken is general, and can be implemented as a new field network paradigm for real-time imaging of highly dynamic and complex environments, including both natural and man-made structures. Results from this research will be shared with Yellowstone National Park management (NPS), rangers, and staff. The real-time subsurface images can be used in visitor education centers, official handouts, ranger led field trips, and for public safety management. The educational activities of this project include enhancing undergraduate and graduate curricula and research programs at the three collaborative universities, and the project provides many opportunities for a collaborative cross-disciplinary exchange of ideas among them.

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