
NSF Org: |
CMMI Division of Civil, Mechanical, and Manufacturing Innovation |
Recipient: |
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Initial Amendment Date: | August 16, 2013 |
Latest Amendment Date: | May 12, 2014 |
Award Number: | 1331269 |
Award Instrument: | Continuing Grant |
Program Manager: |
Walter Peacock
CMMI Division of Civil, Mechanical, and Manufacturing Innovation ENG Directorate for Engineering |
Start Date: | September 1, 2013 |
End Date: | July 31, 2019 (Estimated) |
Total Intended Award Amount: | $2,994,056.00 |
Total Awarded Amount to Date: | $2,994,056.00 |
Funds Obligated to Date: |
FY 2014 = $753,830.00 |
History of Investigator: |
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Recipient Sponsored Research Office: |
550 S COLLEGE AVE NEWARK DE US 19713-1324 (302)831-2136 |
Sponsor Congressional District: |
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Primary Place of Performance: |
DE US 19716-2553 |
Primary Place of
Performance Congressional District: |
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Unique Entity Identifier (UEI): |
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Parent UEI: |
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NSF Program(s): | SEES Hazards |
Primary Program Source: |
01001415DB NSF RESEARCH & RELATED ACTIVIT |
Program Reference Code(s): |
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Program Element Code(s): |
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Award Agency Code: | 4900 |
Fund Agency Code: | 4900 |
Assistance Listing Number(s): | 47.041 |
ABSTRACT
This project will improve understanding of and decision support for hurricane evacuation and sheltering through a dynamic modeling approach. The hazard will be represented using a set of probabilistic scenarios that describe the range of ways a hurricane may evolve. For each hurricane scenario, storm surge, wind speed, and rainfall flooding maps will be developed for each time step. The research team will also model the dynamic decision-making of emergency managers and residents as the available information changes, and the dynamic movement of residents over the course of the event. Overlaying the results of these models will help to understand the interactions within and among the systems through space and time. The project has four main components. First, an integrated meteorological, hydrological, and storm surge modeling system that will be implemented to determine a set of probabilistic ensemble scenarios for an offshore hurricane. Second, theoretical models of resident and emergency manager temporal decision-making will be developed. Third, a multi-stage stochastic program will be developed that integrates the outputs from the first two steps to support emergency managers' hurricane evacuation and sheltering decisions so as to minimize personal risk and travel time. Fourth, the interconnected hazard, behavioral, and evacuation/shelter models will be demonstrated through case study applications in North Carolina.
This project will have broad significance because it will result in a major leap forward in understanding and improving management of evacuation and sheltering for hurricane events. Wind, storm surge, waves, rainfall, and runoff, all of which can substantially affect evacuations, will be considered simultaneously and comprehensively in this project. The project will also advance understanding of how officials and residents make decisions over time, and how the information on which their decisions change over time. It will explicitly represent the fact that emergency managers make initial decisions while a hurricane is still far offshore and large uncertainty remains, and then make subsequent decisions after a day or two has passed and more is known about the likely effects of the storm. Overall, the framework for this project will, for the first time, fully capture the three features of hurricane events that are perhaps most important for understanding evacuation and sheltering; these features are: (1)the events are dynamic over space and time, (2) involve great uncertainty, and (3) include many interactions within and among the natural, infrastructure, and human systems.The educational video game and K-8 educational outreach will teach participants about the dynamics and uncertainty in hurricane evacuation and sheltering. Post-doctoral researchers, graduate and undergraduate research assistants including women and underrepresented minorities' participation in all aspects of the project will help train the next generation of disaster professionals. Collaboration with federal and state agencies throughout the project will help ensure the findings consider practitioner's perspectives and are integrated into practice as quickly and effectively as possible.
PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH
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PROJECT OUTCOMES REPORT
Disclaimer
This Project Outcomes Report for the General Public is displayed verbatim as submitted by the Principal Investigator (PI) for this award. Any opinions, findings, and conclusions or recommendations expressed in this Report are those of the PI and do not necessarily reflect the views of the National Science Foundation; NSF has not approved or endorsed its content.
The interdisciplinary project team--consisting of atmospheric scientists, oceanographers, engineers, and social scientists from the University of Delaware, Cornell University, the State University of New York-Stony Brook, the Renaissance Computing Institute at the University of North Carolina-Chapel Hill, and the University of Oklahoma--have developed a new decision support tool called the Integrated Scenario-based Evacuation (ISE) tool to support hurricane evacuation decision making. Specifically, it is designed to help emergency managers decide when and where to issue official evacuation orders, taking into account the uncertainty in how the hurricane will evolve and how the situation changes over time. The decreased uncertainty in the forecast as the hurricane approaches landfall is implicitly captured by the process. The ISE framework supports adaptive decision-making, providing evacuation order recommendations that offer an advance in the state-of-the-art because they: (1) are based on an integrated hazard assessment including inland flooding, (2) explicitly balance the sometimes competing objectives of minimizing risk and minimizing travel time, (3) offer a solution that is robust under the range of ways the hurricane might evolve, and (4) leverage the substantial value of increasing information (or decreasing degree of uncertainty) over the course of a hurricane event. Input from stakeholders (FEMA, North Carolina Division of Emergency Management, and the American Red Cross) helped guide development of the ISE framework. We have demonstrated the tool for full-scale case studies in North Carolina for Hurricane Isabel (2003), Hurricane Matthew (2016), and Hurricane Florence (2018) and are pursuing funding with a private partner to transition research findings into operations. The project’s goal is to reduce deaths, injuries, and unnecessary expenses associated with ill-planned or ill-executed emergency responses to a hurricane event. A cadre of students--undergraduate, graduate, and post-doctoral – have benefited by being active participants in the research and development of this cutting-edge tool.
There are two key components to the ISE framework. First, a comprehensive hazard assessment is computed using advanced computer models that represent the primary hazard components. These are: (1) the meteorological conditions that represent the hurricane itself, including the surface winds, atmospheric pressure, and precipitation; (2) overland and riverine flooding due to the hurricane precipitation; and (3) storm surge and wind waves driven by the hurricane wind field. Because the models use information from each other, the hazard assessment is integrated, comprehensive and coordinated across the models. That is, storm surge caused by the hurricane winds occurs with the proper timing relative to inland and riverine flooding. This approach of coordinating and integrating the hazard information is different from the typical way of using relatively independent sources of information for each hazard component, which may generally not represent the proper timing in the arrival of strong hurricane winds, peak storm surge, and inland flooding. Uncertainty in the hurricane event is captured by simulating an ensemble of hurricane events that represent uncertainty in how the hurricane is modeled.
The second key component is the evacuation model, which takes as input the ensemble of hazard scenarios and develops a set of contingency evacuation plan recommendations. Each plan recommends when and where to issue evacuation orders if the hurricane evolves in a particular way. Together they offer plans for all the possible ways the hurricane may evolve. These recommendations are made in a way that maximizes safety for the impacted population and minimizes the total travel times. It incorporates information about the evacuation road network and its carrying capacity, the location of shelters, and the expected behavior of the population. This is different from the traditional approach, wherein only a single plan is recommended and only the time it takes to clear the impacted population from the hazard area is considered (so-called “clearance time”); there are not multiple contingency plans and other critical risk factors are not included.
Last Modified: 09/22/2019
Modified by: Rachel A Davidson
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