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| Web URL(s): | http://www.irrigation.org/IA/FileUploads/IA/Resources/TechnicalPapers/2005/WaterConservationFromPreciseIrrigationSchedulingUsingASubsurfaceElectromagneticSoilMoistureSensor.pdf
Last checked: 10/26/2017
Requires: PDF Reader |
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| Publication Type:
| Proceedings |
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| Author(s): | Blonquist, J. M. Jr.;
Jones, S. B.;
Robinson, D. A. |
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| Author Affiliation: | Dept. of Plant, Soils and Biometeorology, Utah State University, Logan, Utah |
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| Title: | Water conservation from precise irrigation scheduling using a subsurface electromagnetic soil moisture sensor |
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| Section: | Turf
Other records with the "Turf" Section
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| Source: | Irrigation Show 2005: Technical Session Proceedings. 2005, p. 247-255. |
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| Publishing Information: | [Falls Church, Virginia]: [Irrigation Association] |
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| # of Pages: | 9 |
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| Keywords: | TIC Keywords: Automatic irrigation systems; Comparisons; Cost efficiency; Evapotranspiration-based irrigation; Irrigation controllers; Irrigation efficiency; Soil moisture sensors; Water-saving techniques
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| Abstract/Contents: | "Instrumented weather stations are often used for evapotranspiration (ET) prediction in order to estimate crop water use for irrigation scheduling. A direct estimate of crop water use by subsurface measurements of soil water content has been limited by the high cost of reliable soil moisture sensors. Recent advances in electromagnetic (EM) sensor technology have made automated irrigation scheduling based on state-of-the-art soil moisture sensing capability a reality. Our objectives were: i) to compare irrigation scheduling based on weather station ET estimates with those from a novel time domain transmission (TDT) soil moisture sensor, and ii) to apply a computer-based numerical model to simulate any drainage occurring below the plant rooting depth. The TDT sensor was designed to schedule irrigation based on a threshold θ value (θThresh). The sensor circuitry controlled the irrigation schedule by allowing a preprogrammed schedule to operate whenever the sensor-estimated θ (θSensor) dropped below θThresh. The TDT sensor was installed under Kentucky bluegrass with a nearby weather station providing estimates of ET for comparison over a period of approximately seven weeks. The HYDRUS-2D numerical simulation model was used for predicting drainage in the soil profile. The model input requirements include the flow domain geometry and boundary conditions, along with estimates of evaporation, transpiration, precipitation, irrigation and root water uptake data. Relative to ET-based irrigation recommendations, the TDT system applied approximately 16% less water when irrigating with a sprinkler having an efficiency of 0.80, and relative to a fixed irrigation rate of 5 cm week-1, the TDT system applied approximately 53% less water. Modeling results of the TDT sensor control indicated that no detectable water drained below the estimated 30 cm rooting depth of turf grass when uncontrolled application events (e.g. rainfall) were ignored. Performance of the TDT system is dependent on the sensor burial depth and (θThresh. The θThresh value is soil-type dependent and should be established via consideration of θ at field capacity and permanent wilting point. The potential water savings with the TDT system is not only important to water conservation, but can save irrigators an estimated $5.00-$100.00 per month based on average water prices in the US and a 1000 m2 irrigated turf grass plot." |
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| Language: | English |
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| References: | 31 |
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| Note: | Figures
Tables
Graphs |
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| ASA/CSSA/SSSA Citation (Crop Science-Like - may be incomplete):
Blonquist, J. M. Jr., S. B. Jones, and D. A. Robinson. 2005. Water conservation from precise irrigation scheduling using a subsurface electromagnetic soil moisture sensor. p. 247-255. In Irrigation Show 2005: Technical Session Proceedings. [Falls Church, Virginia]: [Irrigation Association]. |
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| Web URL(s):
http://www.irrigation.org/IA/FileUploads/IA/Resources/TechnicalPapers/2005/WaterConservationFromPreciseIrrigationSchedulingUsingASubsurfaceElectromagneticSoilMoistureSensor.pdf
Last checked: 10/26/2017
Requires: PDF Reader |
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MSU catalog number: b9924931 |
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