A GPS-IPW Based Methodology for Forecasting Heavy Rain Events

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dc.contributor.authorGorugantula, Srikanth V. L.en
dc.contributor.committeechairLoganathan, G. V.en
dc.contributor.committeememberLohani, Vinod K.en
dc.contributor.committeememberYounos, Tamimen
dc.contributor.departmentCivil Engineeringen
dc.date.accessioned2011-08-06T16:06:48Zen
dc.date.adate2003-01-03en
dc.date.available2011-08-06T16:06:48Zen
dc.date.issued2003-05-15en
dc.date.rdate2004-01-03en
dc.date.sdate2002-12-30en
dc.description.abstractThe mountainous western Virginia is the source of the headwater streams for the New, the Roanoke, and the James rivers. The region is prone to flash flooding, typically the result of localized precipitation. Fortunately, within the region, there is an efficient system of instruments for real-time data gathering with IFLOWS (Integrated Flood Observing and Warning System) gages, WSR-88D Doppler radar, and high precision GPS (Global Positioning System) receiver. The focus of this research is to combine the measurements from these various sensors in an algorithmic framework to determine the flash flood magnitude. It has been found that the trend in the GPS signals serves as a precursor for rain events with a lead-time of 30 minutes to 2 hours. The methodology proposed herein takes advantage of this lead-time as the trigger to initiate alert related calculations. It is shown here that the sum of the rates of change of total cloud water, water vapor contents and logarithmic profiles of partial pressure of dry air and temperature in an atmospheric column is equal to the rain rate. The total water content is measurable as the profiles of integrated precipitable water (IPW) from the GPS, the vertically integrated liquid (VIL) from the radar (representing different phases of the atmospheric water) and the pressure and temperature profiles are available. An example problem is presented illustrating the involving the calculations.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.otheretd-12302002-114005en
dc.identifier.sourceurlhttp://scholar.lib.vt.edu/theses/available/etd-12302002-114005en
dc.identifier.urihttp://hdl.handle.net/10919/10145en
dc.publisherVirginia Techen
dc.relation.haspartThesis_Final_ETD.pdfen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectradiosodeen
dc.subjectstatistical analysisen
dc.subjectGOES satelliteen
dc.titleA GPS-IPW Based Methodology for Forecasting Heavy Rain Eventsen
dc.typeThesisen
thesis.degree.disciplineCivil Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

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