Title

Urban Flash Flood Monitoring, Mapping, And Forecasting Via A Tailored Sensor Network System

Abstract

Heavy convective rainfall often results in flooding in urban regions. The rainfall runoff process, however, is highly complex, nonlinear, and temporally and spatially varying because of the variability of the terrain and climate attributes. An intelligent traffic system covering the emergency response capacity in response to flooding impacts in low-lying area of urban region is highly desirable to drivers and passengers nowadays. The proposed motes-based sensor network has three major modules, which are water level monitoring module, network video record module, and data processing module. The water level monitoring module sensors water level information and transmits it to a server computer via motes-based wireless network. The network video record module takes and sends video in real-time to the server too. The data processing module linking existing flooding level with NOAA NEXRAD rainfall prediction data enables us to publish online raw data, predict inundation zone, and disseminate video information through different media. Such integration would greatly enhance the disaster management capacity in hurricane events. ©2006 IEEE.

Publication Date

12-1-2006

Publication Title

Proceedings of the 2006 IEEE International Conference on Networking, Sensing and Control, ICNSC'06

Number of Pages

757-761

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

Socpus ID

34250211169 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/34250211169

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