Dissertation/Thesis Abstract

Use of Simplified DoDAF Viewpoints to Improve Dynamic Emergency Management through Intelligence Surveillance and Reconnaissance
by Quarles, H. Keith, Ph.D., The George Washington University, 2012, 100; 3502996
Abstract (Summary)

In the past few years if we have learned anything about emergency management and weather related disasters it is that they are unpredictable. Many studies and models have been developed in regards to planning and preparation for such occurrences. Emergency management organizations at various governmental levels will choose a model based on their specific requirements or possibly budgetary restrictions. But in either case detailed planning will generate individual Courses of Action (COA) due to different scenarios obtained from a model. When situations arise that do not follow the model then the Emergency Operations Center (EOC) and the Incident Commander (IC) are thrown into a foot race to create a new COA because time can mean everything in disaster situations. To assist military commanders with current and timely information, Intelligence Surveillance Reconnaissance (ISR) has grown into a critical system for the successful planning and coordination of operations. The timely input of new information allows for personnel and equipment to be utilized in the most effective manner possible. The integration of ISR systems with the emergency management system could serve the EOC and the IC with the same timely and accurate information needed to convert the current reactive modeling process into a dynamic process in order to keep pace with fluid, real world events. This study will use a simplified Department of Defense Architecture Framework (DoDAF) perspective to identify the functional linkages between the community infrastructure systems and the emergency management system. The system functionality will be studied as functionality becomes impacted during a natural disaster with rising flood water.

Indexing (document details)
Advisor: Sarkani, Shahram, Mazzuchi, Thomas A.
Commitee: Eisner, Howard, Holzer, Thomas, Murphree, Lile
School: The George Washington University
Department: Engineering Mgt and Systems Engineering
School Location: United States -- District of Columbia
Source: DAI-B 73/08(E), Dissertation Abstracts International
Source Type: DISSERTATION
Subjects: Management, Systems science
Keywords: Community infrastructure, Department of Defense, Disaster management, Intelligence Surveillance Reconnaissance
Publication Number: 3502996
ISBN: 9781267263858
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