NYU FloodSense Street Sign Mounted Flood Depth Sensor [supporting dataset]

Water depth level in mm from a sensor mounted on a street sign post at the corner of 5th Street and Hoyt, Brooklyn, New York (40.676640, -73.994595). The sensor is designed to detect flood water that fills the street and blocks vehicle and pedestrian traffic, as well as depositing micro-organisms on the street. Ultrasonic technology is used to detect flood water depth. The sensor transmits its data via LoRaWAN and is equipped with a solar panel for continuous operation. Depth data is collected at ~5min intervals. Time fields are in local time (New York). Date format is: 2020-10-04 20:11:45.742594232-04:00. Two flood events have been observed in this dataset between these date ranges: "2020-11-15 19:37:00.000000000-05:00" to "2020-11-16 00:30:00.000000000-05:00" "2020-11-30 10:20:00.000000000-05:00" to "2020-11-30 13:30:00.000000000-05:00". Erroneous data has been observed: There are ~1% decreases in depth measures on days with sun which suggests that the distance sensor is affected by direct sunlight. This data is preliminary and is for prototyping purposes. This dataset will be updated when more data is collected. Please see github org for sensor information and build instructions: github.com/floodsense.

• Dataset URL:
  https://doi.org/10.5281/zenodo.4429282
• Dataset URL:
  https://doi.org/10.5281/zenodo.4306915
• Record URL:
  https://c2smart.engineering.nyu.edu/wp-content/uploads/2021/06/69A3551747124-Street-level-Flooding-Platform-Sensing-and-Data-Sharing-for-Urban-Accessibility-and-Resilience.pdf
• Record URL:
  https://rosap.ntl.bts.gov/view/dot/59897
• Dataset URL:
  https://rosap.ntl.bts.gov/view/dot/61973
• Supplemental Notes:
  • The dataset supports report: Street-level Flooding Platform: Sensing and Data Sharing for Urban Accessibility and Resilience, available at the URL above. This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program.
• Corporate Authors:

  C2SMART Connected Cities with Smart Transportation

  NYU Tandon School of Engineering
  Department of Civil and Urban Engineering
  Brooklyn, NY  United States 

  Office of the Assistant Secretary for Research and Technology

  University Transportation Centers Program
  Department of Transportation
  Washington, DC  United States  20590
• Authors:
  • Challagonda, Praneeth Sai Venkat
  • 0000-0002-5484-3877
  • Mydlarz, Charlie
  • 0000-0001-7061-0638
  • Henaff, Elizabeth
  • 0000-0001-7906-9681
  • Silverman, Andrea
  • 0000-0001-8199-5860
  • Brain, Tega
  • Khan, Junaid
  • 0000-0003-4229-4054
• Publication Date: 2021-1-8

Language

• English

Media Info

• Media Type: Dataset
• Dataset: Version: 1 Integrity Hash: md5:d84d762ddcb7dc7c904a27fb197d7f41
• Dataset publisher:

  Zenodo

  ,    

Subject/Index Terms

• TRT Terms: Data; Depth; Floods; Sensors; Streets; Ultrasonic waves
• Geographic Terms: Brooklyn (New York, New York)
• Subject Areas: Data and Information Technology; Environment; Highways; Hydraulics and Hydrology;

Filing Info

• Accession Number: 01776129
• Record Type: Publication
• Contract Numbers: 69A3551747124
• Files: UTC, NTL, TRIS, ATRI, USDOT
• Created Date: Jul 7 2021 12:26PM