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PUBLICATIONS

StormSense: A New Integrated Network of IoT Water Level Sensors in the Smart Cities of Hampton Roads, VA

Published

Author(s)

Sokwoo Rhee, Jon 'Derek' Loftis, Cuong T. Nguyen

Abstract

Propagation of cost-effective water level sensors powered through the Internet of Things (IoT) has expanded the available offerings of ingestible data streams at the disposal of modern smart cities. StormSense is an IoT-enabled inundation forecasting research initiative and an active participant in the Global City Teams Challenge seeking to enhance flood preparedness in the smart cities of Hampton Roads, VA for flooding resulting from storm surge, rain, and tides. In this study, we present the results of the new StormSense water level sensors to help establish the “regional resilience monitoring network” noted as a key recommendation from the Intergovernmental Pilot Project. To accomplish this, the Commonwealth Center for Recurrent Flooding Resiliency’s Tidewatch tidal forecast system is being used as a starting point to integrate the extant (NOAA) and new (USGS and StormSense) water level sensors throughout the region, and demonstrate replicability of the solution across the cities of Newport News, Norfolk, and Virginia Beach within Hampton Roads, VA. StormSense’s network employs a mix of ultrasonic sonar and X-band radar remote sensing technologies to record water levels during 2017 Hurricanes Jose and Maria. These data were used to validate the inundation predictions of a street-level hydrodynamic model (5-m resolution), while the water levels from the sensors and the model were concomitantly validated by a temporary water level sensor deployed by the USGS in the Hague, and crowd-sourced GPS maximum flooding extent observations from the Sea Level Rise app, developed in Norfolk, VA.
Citation
Marine Technology Society Journal
Pub Type
Journals

Download Paper

https://doi.org/10.4031/MTSJ.52.2.7

Keywords

Hurricane Maria, Hurricane Jose, King Tide, Hydrodynamic Modeling, Internet of Things, Smart City, Global City Teams Challenge, Replicability, Citizen Science, Sea Level Rise
Cyber-physical systems, Smart cities, Internet of Things (IoT) and Modeling and simulation research

Citation

Rhee, S. , , J. and Nguyen, C. (2018), StormSense: A New Integrated Network of IoT Water Level Sensors in the Smart Cities of Hampton Roads, VA, Marine Technology Society Journal, [online], https://doi.org/10.4031/MTSJ.52.2.7 (Accessed November 21, 2024)

Issues

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Created May 1, 2018, Updated November 10, 2018