Award Abstract # 1854946
PREEVENTS Track 2: Collaborative Research: Geomorphic Versus Climatic Drivers of Changing Coastal Flood Risk

NSF Org: RISE
Integrative and Collaborative Education and Research (ICER)
Recipient: PORTLAND STATE UNIVERSITY
Initial Amendment Date: May 30, 2019
Latest Amendment Date: July 6, 2019
Award Number: 1854946
Award Instrument: Continuing Grant
Program Manager: George Voulgaris
gvoulgar@nsf.gov
 (703)292-7399
RISE
 Integrative and Collaborative Education and Research (ICER)
GEO
 Directorate for Geosciences
Start Date: June 1, 2019
End Date: January 31, 2020 (Estimated)
Total Intended Award Amount: $328,606.00
Total Awarded Amount to Date: $328,606.00
Funds Obligated to Date: FY 2019 = $0.00
History of Investigator:
  • Stefan Talke (Principal Investigator)
Recipient Sponsored Research Office: Portland State University
1600 SW 4TH AVE
PORTLAND
OR  US  97201-5508
(503)725-9900
Sponsor Congressional District: 01
Primary Place of Performance: Portland State University
1930 SW 4th Street
Portland
OR  US  97207-0751
Primary Place of Performance
Congressional District:
01
Unique Entity Identifier (UEI): H4CAHK2RD945
Parent UEI: WWUJS84WJ647
NSF Program(s): PREEVENTS - Prediction of and
Primary Program Source: 01001920DB NSF RESEARCH & RELATED ACTIVIT
01002021DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s):
Program Element Code(s): 034Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.050

ABSTRACT

Coastal flooding is one of the most dangerous and damaging natural hazards that societies face, and coastal development and climate change are causing a dramatic rise in vulnerability. Since the 19th century, estuary channels have typically been deepened and widened by a factor of two or three, harbor entrances have been deepened and streamlined, and a large proportion of wetlands have been filled over and replaced with neighborhoods. Such geomorphic changes increase flood risk by reducing natural resistance to storm surge and tides. Similarly, sea level rise and climate-modulated variations in storm characteristics such as intensity, size and track path also alter flood risk. The overarching goal of the proposed research project is to reveal and contrast the mechanisms by which these geomorphic and climatic changes alter flood risk. This goal will be met using a combination of computational modeling, historical climate and storm surge data analysis, and theory-based synthesis. The study will provide support for a postdoctoral research associate and several graduate students and undergraduates, including underrepresented groups. It will improve the well-being of communities within urbanized harbors and estuaries by highlighting coastal development practices that can worsen coastal flooding. The project plan increases scientific literacy and engagement, and connects the research to applications through interactions with local stakeholders and governments, as well as the US Geological Survey and the US Army Corps of Engineers.

The project will improve the understanding and separation of climatic and geomorphic factors in coastal flooding through several elements of novel research and technical innovation. The investigators will use a unique tide-gauge data set that extends back to the 19th century together with contemporary, retrospective, and idealized hydrodynamic models to elucidate system sensitivities. Well-known, simplified insights into tidal dynamics will be tested for storm surge, then used to help interpret how altered local topography, bathymetry and wetland area have changed frictional damping and long-wave mechanics. A combined analysis of climate, storm characteristics, and morphologic change will identify the modes and pathways through which climate variability and bathymetric change modulate storms surges. Advanced non-stationary univariate and multivariate statistical models will be developed and employed to incorporate these changes and assess how statistical properties relevant for coastal design and risk assessments respond. A flood model inter-comparison workshop will help quantify relevant modeling sensitivities, which will help to improve estuary and floodplain predictions for the academic and operational forecasting community.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

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