StormSense
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StormSense | |
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StormSense | |
Team Organizations | Virginia Institute of Marine Science (VIMS) College of William and Mary Commonwealth Center for Recurrent Flooding Resilience State of VA Department of Health |
Team Leaders | Jon Loftis |
Participating Municipalities | Newport News VA Virginia Beach VA Norfolk VA Hampton VA Portsmouth VA Chesapeake VA Williamsburg VA York County VA |
Status | Implemented |
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Document | None |
Description
Objectives
- Apply modeling to address multiple-flood types to determine the probable areas at risk by utilizing fixed sensors, crowd-sourced data collection verified by post-flood analysis.
- Use new state-of-the-art high resolution hydrodynamic models driven with atmospheric model weather predictions to forecast flooding from storm surge, rain, and tides at the street-level scale to improve disaster preparedness.
Challenges
- Communities are often at risk from different types for flooding, however, current models tend to focus on a single type/source
- Sensors and gauges are typically deployed to detect single types of flooding (riverine, tidal, rainfall, etc.)
- Forecast model integration with existing GIS systems for short term pre-disaster planning and deployment of resources
Solutions
A Long-Term Predictive Modeling Plan for local, regional, national, and global applications described here.
Major Requirements
- Determine applicable models best suited to local conditions
- Beginning with tidal/surge modeling, conduct local verification of models vs. “ground truth”
- Determine locations for additional sensors and types
- Utilize the existing WiFi connectivity for sensors, and alerting systems
- Recruit/train local personnel to take real-time readings to update the forecasting
- Expand the program to neighboring jurisdictions, then regionally
Performance Targets
Key Performance Indicators (KPIs) | Measurement Methods |
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Standards, Replicability, Scalability, and Sustainability
- Sensors utilizing common internet protocols over the city’s WiFi and existing SCADA systems
- Crowd sourced data collection via a smartphone application
- Modeling will be accessible via a website
- Linkages to alerting would be via the flood model’s Online GIS Data Release Platform and potentially through the SLR mobile App
- Expand the program and modeled areas to neighboring jurisdictions, then regionally via A Long-Term Predictive Modeling Plan for local, regional, national, and global applications
Cybersecurity and Privacy
TBD
Impacts
- Predicts the timing of flooding and flooded evacuation routes
- Aids in rerouting emergency routes for public safety
- Saves lives and reduces property damage
- Identified future mitigation projects
Demonstration/Deployment
- Phase I Pilot/Demonstration:
- Deploy the VIMS forecast and Tidal/Surge maps
- Deploy the data collection application
- Verify accuracy of maps and forecasts as opportunities arise
- Phase II Deployment:
- Add additional flood forecasting tools and display methods
- Add additional fixed sensors and collection infrastructure
- Add additional TideWatch gauges in the James River
- Expand the project throughout the Peninsula and into other parts of the Hampton Roads Region