Interactive Irrigation Tool for Simulating Smart Irrigation Technologies in Lawn Turf

AbstractA simple model was developed to explore the effect of water saving technologies by simulating the soil water balance in a lawn turfgrass system based on site-specific soil characteristics, irrigation schedule, real-time weather data, and irrigation technology (i.e., time-based irrigation, time-based irrigation with rain sensor, time-based irrigation with soil water sensor, and evapotranspiration controller). The model has been integrated into an interactive tool for homeowners and landscape professionals to evaluate and improve irrigation scheduling. Model coding was tested by using two software programs and verified by using a field data set. Average absolute differences between measured and simulated irrigation and deep percolation by event were different among irrigation technologies, ranging from 0 to 0.46 and 0.19 to 2.03 cm, respectively. The model is available as an online tool through the Florida Automated Weather Network using Google technology. The free tool requires minimum user input, ...

[1]  A. Wild,et al.  USE OF FLUORESCENT DYES TO MARK THE PATHWAYS OF SOLUTE MOVEMENT THROUGH SOILS UNDER LEACHING CONDITIONS: 2. FIELD EXPERIMENTS , 1979 .

[2]  K. Beven,et al.  Macropores and water flow in soils , 1982 .

[3]  J. Parlange,et al.  Leaching Characteristics of a Layered Field Soil 1 , 1978 .

[4]  J. Nimmo.  Preferential flow occurs in unsaturated conditions , 2012 .

[5]  S. Running,et al.  Mapping and Modeling the Biogeochemical Cycling of Turf Grasses in the United States , 2005, Environmental management.

[6]  Michael D. Dukes,et al.  Irrigation scheduling performance by evapotranspiration-based controllers , 2010 .

[7]  Michael D. Dukes,et al.  Bahiagrass crop coefficients from eddy correlation measurements in central Florida , 2009, Irrigation Science.

[8]  Michael D. Dukes,et al.  Evaluation of Sensor Based Residential Irrigation Water Application , 2007 .

[9]  Michael D. Dukes,et al.  Sensor-Based Automation of Irrigation on Bermudagrass during Dry Weather Conditions , 2008 .

[10]  M. Dukes,et al.  Interpretation of Soil Moisture Content to Determine Soil Field Capacity and Avoid Over-Irrigating Sandy Soils Using Soil Moisture Sensors 1 , 2010 .

[11]  M. Dukes,et al.  Evaluation of Evapotranspiration and Soil Moisture-based Irrigation Control on Turfgrass , 2007 .

[12]  Michael D. Dukes,et al.  Water conservation potential of smart irrigation controllers on St. Augustinegrass , 2009 .

[13]  L. S. Pereira,et al.  Revised FAO Procedures for Calculating Evapotranspiration: Irrigation and Drainage Paper No. 56 with Testing in Idaho , 2001 .

[14]  P. Mayer.  Residential End Uses of Water , 1999 .

[15]  H.W.G. Booltink,et al.  PHYSICAL AND MORPHOLOGICAL CHARACTERIZATION OF BYPASS FLOW IN A WELL-STRUCTURED CLAY SOIL , 1991 .

[16]  R. E. Phillips,et al.  Percolation of Surface-applied Water in the Field1 , 1976 .

[17]  R. E. White,et al.  The Influence of Macropores on the Transport of Dissolved and Suspended Matter Through Soil , 1985 .

[18]  M. Dukes,et al.  Evaluation and Demonstration of Evapotranspiration-Based Irrigation Controllers , 2007 .

[19]  W. G. Knisel,et al.  CREAMS: a field scale model for Chemicals, Runoff, and Erosion from Agricultural Management Systems [USA] , 1980 .

[20]  E. H. Stewart,et al.  Evapotranspiration as Affected by Plant Density and Water-Table Depth , 1969 .

[21]  Michael D. Dukes,et al.  Water Conservation Potential of Landscape Irrigation Smart Controllers , 2012 .

[22]  B. D. Doss,et al.  Effect of Soil Moisture Regime on Root Distribution of Warm Season Forage Species1 , 1960 .

[23]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[24]  A. E. Dudeck,et al.  Effect of Irrigation Interval on St. Augustinegrass Rooting 1 , 1985 .

[25]  Michael D. Dukes,et al.  Landscape irrigation scheduling efficiency and adequacy by various control technologies , 2011 .