Validation of a Decision Support System for Improving Irrigation System Performance

AbstractTo address water shortage and improve water delivery operations, decision support systems (DSSs) have been developed and utilized throughout the United States and the world. One critical aspect that is often neglected during the development and implementation of DSSs is validation, which can result in flawed water distribution and rejection of the DSS by water users and managers. This paper presents the results of a significant validation effort for a DSS in the Middle Rio Grande Conservancy District (MRGCD). The validation resulted in a refined application efficiency of 45%, a refined readily available water for farmers to irrigate to a value of 20%, and a Nash-Sutcliffe modeling efficiency of 0.86 for soil moisture depletion patterns. Overall, the validation and refinement of input parameters resulted in a DSS model that accurately predicts evaportranspiration and can be used to schedule water delivery. The refinement of the DSS input parameters resulted in an increased 15,600 acre-ft diversion ...

[1]  Richard Labib,et al.  Performance of Neural Networks in Daily Streamflow Forecasting , 2002 .

[2]  Fred L. Ogden,et al.  GSSHA: Model To Simulate Diverse Stream Flow Producing Processes , 2004 .

[3]  J. Nash,et al.  River flow forecasting through conceptual models part I — A discussion of principles☆ , 1970 .

[4]  Stephen R. Workman,et al.  SIMULATION OF DAILY AND MONTHLY STREAM DISCHARGE FROM SMALL WATERSHEDS USING THE SWAT MODEL , 2000 .

[5]  James C. Ascough,et al.  Modeling of Full and Limited Irrigation Scenarios for Corn in a Semiarid Environment , 2011 .

[6]  J. Bouma,et al.  Future Directions of Precision Agriculture , 2005, Precision Agriculture.

[7]  Drainage Division,et al.  Criteria for Evaluation of Watershed Models , 1993 .

[8]  Ramchand Oad,et al.  Using an ADCP to determine canal seepage loss in an irrigation district , 2010 .

[9]  Kristoph-Dietrich Kinzli,et al.  Improving irrigation system performance through scheduled water delivery in the Middle Rio Grande Conservancy District , 2007 .

[10]  Ramchand Oad,et al.  Comparison of Laboratory and Field Calibration of a Soil-Moisture Capacitance Probe for Various Soils , 2012 .

[11]  Atlee. Beechy A conceptual framework for guidance , 1958 .

[12]  Peter J. Thorburn,et al.  A Conceptual Framework for Guiding the Participatory Development of Agricultural Decision Support Systems , 2010 .

[13]  Steven L. Alter,et al.  Decision support systems : current practice and continuing challenges , 1980 .

[14]  R. L. McCown,et al.  Changing systems for supporting farmers' decisions: problems, paradigms, and prospects , 2002 .

[15]  Lei Tian,et al.  Technical Note: Field-Scale Surface Soil Moisture Patterns and Their Relationship to Topographic Indices , 2007 .

[16]  Jeffrey G. Arnold,et al.  Model Evaluation Guidelines for Systematic Quantification of Accuracy in Watershed Simulations , 2007 .

[17]  R. McCuen,et al.  Evaluation of the Nash-Sutcliffe Efficiency Index , 2006 .

[18]  Marnik Vanclooster,et al.  Application of pesticide simulation models to the Vredepeel dataset: I. Water, solute and heat transport , 2000 .

[19]  James W. Jones,et al.  Decision support system for agrotechnology transfer: DSSAT v3 , 1998 .

[20]  Leo Stroosnijder,et al.  Soil evaporation: test of a practical approach under semi-arid conditions. , 1987 .

[21]  Dave Patterson,et al.  Decision Support Systems for Efficient Irrigation in the Middle Rio Grande Valley , 2009 .

[22]  Dan R. Upchurch,et al.  Energy and water balance of a sparse crop: simulated and measured soil and crop evaporation , 1987 .

[23]  S. R. Evett,et al.  ENWATBAL.BAS: A Mechanistic Evapotranspiration Model Written in Compiled BASIC , 1993 .

[24]  Peter J. Thorburn,et al.  Estimating deep drainage and nitrate leaching from the root zone under sugarcane using APSIM-SWIM , 2006 .