Water Engineering Research

Korea Water Resources Association (한국수자원학회)
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PREDICTION OF UNMEASURED PET DATA USING SPATIAL INTERPOLATION METHODS IN AGRICULTURAL REGION

  • Ju-Young (School of Environmental and Water Resource Engineering, Department of Civil Engineering, Texas A&M University) ;
  • Krishinamurshy Ganeshi (School of Environmental and Water Resource Engineering, Department of Civil Engineering, Texas A&M University)
  • Published : 2004.07.01
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Abstract

This paper describes the use of spatial interpolation for estimating seasonal crop potential evapotranspiration (PET) and irrigation water requirement in unmeasured evaporation gage stations within Edwards Aquifer, Texas using GIS. The Edwards Aquifer area has insufficient data with short observed records and rare gage stations, then, the investigation of data for determining of irrigation water requirement is difficult. This research shows that spatial interpolation techniques can be used for creating more accurate PET data in unmeasured region, because PET data are important parameter to estimate irrigation water requirement. Recently, many researchers are investigating intensively these techniques based upon mathematical and statistical theories. Especially, three techniques have well been used: Inverse Distance Weighting (IDW), spline, and kriging (simple, ordinary and universal). In conclusion, the result of this study (Table 1) shows the kriging interpolation technique is found to be the best method for prediction of unmeasured PET in Edwards aquifer, Texas.

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References

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