Rainfall Interpolation Methods Evaluation
Rainfall Interpolation Methods Evaluation
Alejandra Rojas, Ph.D. StudentDept. of Civil Engineering, UPRM
Eric Harmsen, Associate Prof.Dept. of Ag. and Biosystems Engineering, UPRM
Real Time Flash Flood ForecastingReal Time Flash Flood Forecasting
• The principal goal of this study is development an operational real time flash flood forecasting in western Puerto Rico within the Collaborative Adaptive Sensing of the Atmosphere (CASA) Test-bed located in western Puerto Rico.
• “NETRAD” scan the lower troposphere, high resolution data for detecting.
• The NEXRAD data needs to be adjusted because in May 2001, a flooding event in Puerto Rico caused over $150 million in damage and killed two people and the Storm Total Precipitation Estimates from Doppler Radar data underestimated the rainfall by up to 66% in some areas (NOAA, 2006).
Work in Process Work in Process
• The hydrologic model used is a fully distributed model where each cell have soil, land use characteristics and rainfall information.
• Remote sensing images of the area, soil characteristic measures, digital infrastructure elevation models (CRIM-PR data or LIDAR survey), adjusted NEXRAD data, and revised river and stream flow data will be used to develop a flash flood simulation tool. Sensitive Analysis, and real time abilities.
ResultsResults
• Preliminary a simulation was made with rain gauge interpolated data for November 11th to 13th 2003 and average hyetograph weighed with Thiessen polygons, the inverse distance weighted and the exponential weighted interpolations were used to improve the flow prediction.
Interpolation MethodsInterpolation Methods
USGS Gauge
Precipitation average depth (mm)Area(Km²)IDW EW Thiessen
Añasco San Sebastián 112.71 80.75 138.34 254.96
Rosario near Hormigueros 131.88 135.4 138.34 43.00
Guanajibo near Hormigueros 171.35 193.6 138.34 309.36
Exponential Weighted Inverse Distance Weighted
Storm Total MapsStorm Total Maps
River Response to Rainfall River Response to Rainfall Añasco River discharge due to Interpolation Methods
0
100
200
300
400
500
600
700
11/10/2003 12:00
11/11/2003 0:00
11/11/2003 12:00
11/12/2003 0:00
11/12/2003 12:00
11/13/2003 0:00
11/13/2003 12:00
11/14/2003 0:00
11/14/2003 12:00
11/15/2003 0:00
11/15/2003 12:00
Flo
w (
m^3
/s)
Thiessen Average
EW Interpolation
IDW Interpolation
Guanajibo River discharge due to Interpolation Methods
0
50
100
150
200
250
300
350
11/10/2003 12:00
11/11/2003 0:00
11/11/2003 12:00
11/12/2003 0:00
11/12/2003 12:00
11/13/2003 0:00
11/13/2003 12:00
11/14/2003 0:00
11/14/2003 12:00
11/15/2003 0:00
11/15/2003 12:00
Flo
w (
m^
3/s
)
IDW Interpolation
EW Interpolation
Thiessen Average
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