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Assessing the Effect of Hurricane Sandy Projects on Resilience in the Delaware River Watershed -- (a status update) 2015 DELAWARE ESTUARY SCIENCE AND ENVIRONMENT SUMMIT, JANUARY 26 TH , 2015 PETER MURDOCH, SCIENCE ADVISOR, RACHEL MUIR, SCIENCE


  1. Assessing the Effect of Hurricane Sandy Projects on Resilience in the Delaware River Watershed -- (a status update) 2015 DELAWARE ESTUARY SCIENCE AND ENVIRONMENT SUMMIT, JANUARY 26 TH , 2015 PETER MURDOCH, SCIENCE ADVISOR, RACHEL MUIR, SCIENCE ADVISOR, U.S. GEOLOGICAL SURVEY

  2. “Resilience” – What does it mean? “Resistance” – not the same! 2

  3. Resilience -- Ecological and Social Meaning & Context Ecological -- measure of the persistence of systems and of their ability to absorb change and disturbance and still maintain the same relationships between populations or state variables (Hollings,1973) Social --The ability of groups or communities to cope with external stresses and disturbances as a result of social, political, and environmental change (Alger, 2000). Policy-directed -- “… the ability to anticipate, prepare for and adapt to changing conditions and withstand, respond to and recover rapidly from disruptions.” (Executive Order 13653, November 1, 2012) 3

  4. Resilience Defined -- II Ecosystem response to perturbation: y axis = resilience, x axis = perturbation: 4

  5. Hurricane Sandy DOI Response – A Calendar • October 29, 2012 Hurricane Sandy makes landfall, Atlantic City, NJ -- Nearly 70 national parks and dozens of wildlife refuges damaged:; • March 19, 2013 The Disaster Relief Appropriations Act of 2013, appropriated $786.7 million for DOI to rebuild and repair its assets and make strategic investments in future coastal resilience; • May 7, 2013, DOI released $475.25 million for 234 projects; • August 12, 2013 , DOI selected the National Fish and Wildlife Foundation (NFWF) to administer the $100 million for the Hurricane Sandy Coastal Resiliency Competitive Grant Program, funding 53 projects; • June 16, 2014 , DOI announces projects selected for the Coastal Resiliency Competitive Grant Program • 2015 – Decisions on use of remaining funds (monitoring, metrics development, resilience assessment) • 2016 – Majority of Projects due for completion. 5

  6. DOI Metrics Expert Group Federal-Wide Goal: “Quantifying benefits of resilience projects and calculating resilience project return on investment in order to better inform future public spending” Federal Disaster Recovery Coordination Workplan, 2013

  7. Challenges in Measuring Resilience • Projects already started • Need metrics to detect short-term change in resilience (for key coastal features, subregions, air/water/land processes?) • Need a baseline of data for detecting change– also fiscally impossible unless leverage capabilities of multiple partners; • Need better-developed socio-economic metrics of coastal resilience; • Need a common, collaborative data-management and sharing strategy (shared protocols); • Detection of changes in resilience take time – need strategies for early detection and long-term monitoring. 7

  8. The DOI Metrics Expert Group (A team of scientists and socio-economists charged by DOI to scope an assessment of changes in coastal resilience resulting from DOI-sponsored projects) Currently in review: Recommendations for assessing improvements in coastal resilience from projects within the DOI Hurricane Sandy Mitigation and Resiliency Program

  9. Assessing Resilience– the DOI Metrics Strategy DOI Metrics Expert Group  Task 1: Select core metrics for the restoration and research projects (for 140 restoration and science projects );  Task 2: Determine data and information gaps:  Task 3: Establish baseline conditions for individual projects (rapid data collection as needed)  Task 4: Design and complete the regional assessment  Task 5: Design data management strategy and long- term monitoring for status and trends

  10. Geographic Example: Resilience of Jamaica Bay - Determine: • Key coastal features, socio- economic factors & stressors; • Core metrics for wetlands, communities, beach/dune, etc); • Gaps in must be filled to assess changes in resilience; - Analyze: • Nest project measurements in regional models; • Use pre-post measurements & model applications to define & detect change in resilience. • Track future changes 10

  11. DE Bayshore Coastal Resiliency: Mispillion to Milford Neck (43281)  Restoration plan within Milford Neck Conservation area: modeled under current conditions and with potential restoration alternatives  Restoring the beach and dune system that protects Mispillion Harbor One of 7 NFWF projects in Delaware Bay Sub-region, and many regional projects that include the Delaware sub-region

  12. Topical Example: Surge, Wave, and Tide Hydrodynamics (SWaTH) Network  Entire proposed network will consist of approximately 1,050 sites: − 76 non-USGS stations − 530 temporary storm-tide sensors − 117 coastal stations/tidal streams − 85 rapid-deployment gages − 32 tide crest stage gages − 45 tide gages − 112 surveyed reference points − 63 temporary barometric-pressure sensors  Pre-emptive network- brackets pre-installed  Northeast Coast from North Carolina to Maine  Nor’easters and tropical storms of varying magnitude  Data distributed through an online mapper”

  13. Our Short-term Ambitions… • Fill baseline data and study gaps for immediate action on projects underway; • Seamless measurements and data management with other resilience assessment efforts; • Link current or historical data where possible for early trends detection; • Comparison data among projects with similar goals; • Conduct an integrated, resilience assessment . 13

  14. Our Wish List • Secure additional funds for multi-scale, interdisciplinary pre- and post-project monitoring; • Begin to apply efficient monitoring strategies, using alternative accelerated-assessment methods . • Track/anticipate resilience change across the region 14

  15. How do we build a Multi-scale Data Framework? Science within an Multiple issues organizational framework through common measurements Based on CENR Framework for Environmental Monitoring and Research, 1997

  16. Fine Scale Data which can help – Urban Waters Federal Partnership Baltimore Partnership: http://water.bniajfi.org/map/

  17. Honestly … This won’t be easy 17

  18. For More Infromation Contact: Peter Murdoch, pmurdoch@usgs.gov Rachel Muir rmuir@usgs.gov 18

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  20. Global Hierarchical Observing Strategy (GHOST) World Meteorological Organization , 1997(GCOS, GTOS, IOOS) Integration across programs, disciplines, space, and time

  21. SWaTH Network Design and Development  Proposed network consists of about 1,000 sites: 62 Non-USGS Stations 103 USGS Long-Term Coastal/Tidal Stream Stations 60 Temporary Rapid-Deployment Gage Locations 566 Temporary Storm-Tide Sensor Locations 193 Temporary Wave-Height Sensor Locations 104 Temporary Barometric-Pressure Sensor Locations  Not all stations will be fitted with sensors for any one storm. 21

  22. Science Project Case Study: Surge, Wave, and Tide DOI Metrics Expert Group Hydrodynamics Network (SWaTH) • Compile surge metrics for surge/wave baseline data; • Document weaknesses of existing models for varied coastal features; • Nest an enhanced network of sensors in existing tide and surge network from Maine to Virginia.

  23. DOI Metrics Expert Group Science Project Case Study – (continued) • Apply new data to improve wave and surge models, and real- time data to improve early warning systems; • Quantify reduction in model uncertainty, early warning enhancements as proof of improved resilience.

  24. DOI Metrics Expert Group DMEG First Products First products completed (past 2 months): • First-cut recommended metrics for measuring resilience in specific coastal features, • Grouped DOI projects into common categories (geographic and topical) for assigning metrics and comparing results; • Recommended an assessment strategy (in review); • Recommended a strategy for filling gaps in baseline data and research required for the assessment; • Recommended a strategy for earliest detection of resilience improvement from project activity, at multiple scales over time.

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