ANALYSIS OF ESTIMATED RAINFALL DATA USING SPATIAL INTERPOLATION. Preethi Raj GEOG 5650 (Environmental Applications of GIS)
Environmental Application of GIS Spring 06 2 INTRODUCTION Current research in Hydrology emphasizes on ability to forecast hydrologic parameters. Precipitation Infiltration Evapo-transipiration Stream flow Hydrologic Cycle
Environmental Application of GIS Spring 06 3 PROBLEMS Precipitation plays an important role in Hydrologic cycle. Need for precipitation data to have a better understanding of Hydrologic cycle. Due to practical difficulties not possible to have rain gauges all over the world. Need for an alternative to estimate precipitation data.
Environmental Application of GIS Spring 06 4 STUDY AREA - USA Total number of stations = 6322
Environmental Application of GIS Spring 06 5 STUDY AREA - USA Number of stations selected = 1904
Environmental Application of GIS Spring 06 6 PROCESSES SPATIAL INTERPOLATION Kriging Interpolation Inverse Distance Weighted interpolation
Environmental Application of GIS Spring 06 7 KRIGING
Environmental Application of GIS Spring 06 8 KRIGING PREDICTION STANDARD ERROR MAP
Environmental Application of GIS Spring 06 9 INVERSE DISTANCE WEIGHTED IDW POWER- 2 IDW POWER - 3 IDW POWER - 4IDW POWER - 5
Environmental Application of GIS Spring ANALYSIS TENNESSEE ALABAMA SELECTED STATIONS = 62 UNSELECTED STATIONS = 148 = SELECTED STATION = UNSELECTED STATION
Environmental Application of GIS Spring RESULTS
Environmental Application of GIS Spring RESULTS Interpolation Method Root-Mean-Square Kriging IDW- Power Optimize power value(2.5595) IDW- Power IDW- Power IDW- Power
Environmental Application of GIS Spring CONCLUSIONS Values obtained using Kriging, IDW- Power 2 & 3 gives similar values and closer to actual precipitation value. Difference in values obtained using IDW – Power 5 is high.
Environmental Application of GIS Spring THANK YOU ANY QUESTIONS ?