DocumentCode :
3023951
Title :
Flood alert system using rainfall forecast data in Western Puerto Rico
Author :
Torres Molina, Luz Stella ; Harmsen, Eric W. ; Cruz-Pol, Sandra
Author_Institution :
Dept. of Civil Eng. & Surveying, Univ. of Puerto Rico- Mayaguez, Mayaguez, Puerto Rico
fYear :
2013
fDate :
21-26 July 2013
Firstpage :
574
Lastpage :
577
Abstract :
The Western Puerto Rico area is subject to flooding due to sudden, extreme rainfall events, some of which fail to be detected by NOAA´s NEXRAD radar. The use of new radars with higher spatial resolution and covering the low atmosphere are vital for flood forecasting efforts, and for studying and predicting atmospheric phenomena. Recently the University of Puerto Rico in Mayagüez initiated investigations using two (2) types of these radars, Off-the Grid (OTG) and TropiNet (RXM-25), respectively, in the Mayagüez Bay Drainage Basin area. This is the first time that such radar technology will be used for hydrologic analyses and specifically for rainfall forecasting in Puerto Rico. The forecast analysis will be made using time series with autoregressive methods and selecting the stochastic model parameters most appropriate for an optimal prediction; with the radar results, a distributed hydrologic model (Vflo™) is used to obtain the spatial distribution of flooding depth.
Keywords :
atmospheric boundary layer; floods; hydrological techniques; rain; weather forecasting; Mayaguez Bay Drainage Basin area; NOAA NEXRAD radar; Off-the Grid; TropiNet; University of Puerto Rico; Western Puerto Rico; atmospheric phenomena prediction; autoregressive method; distributed hydrologic model; extreme rainfall events; flood alert system; flood forecasting; hydrologic analyses; optimal prediction; radar technology; rainfall forecast data; stochastic model parameters; time series method; Atmospheric modeling; Autoregressive processes; Doppler radar; Floods; Meteorological radar; Predictive models; Hydrological models; meteorological radar; radar rainfall measurements;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
ISSN :
2153-6996
Print_ISBN :
978-1-4799-1114-1
Type :
conf
DOI :
10.1109/IGARSS.2013.6721221
Filename :
6721221
Link To Document :
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