Optimum Soil Water Content Sensors Placement in Drip Irrigation Scheduling Systems: Concept of Time Stable Representative Positions
Publication: Journal of Irrigation and Drainage Engineering
Volume 142, Issue 11
Abstract
Soil water content sensors placement is an important factor affecting the efficiency of drip irrigation scheduling systems. The main goal of this study is to introduce the concept of time stable representative positions (TSRPs) in soil water content–based drip irrigation scheduling systems and to investigate if such positions, which can provide representative water content readings during the whole duration of the irrigation cycle, can be identified for a wide set of conditions. To this end, several numerical experiments were conducted using a custom-made mathematical model, implementing a system-dependent boundary condition in order to be able to simulate the operation of drip irrigation scheduling systems based on soil water content sensors. The results obtained indicated that sensors’ representativeness considerably varies according to the sensor position, the existing conditions (e.g., meteorological conditions or soil hydraulic properties), and the irrigation systems characteristics, however, at least one (or more) TSRP can be identified in all the examined cases. Based on the obtained results, recommendations for the optimum sensor placement are provided. Finally, numerical simulation models proved to be efficient tools for the further investigation of optimum sensors placement under various conditions in order to improve irrigation management.
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Acknowledgments
The authors wish to sincerely thank the editor and the anonymous reviewers for their constructive comments and suggestions, allowing them to improve the final version of the paper.
References
Blonquist, J. M., Jr., Jones, S. B., and Robinson, D. A. (2006). “Precise irrigation scheduling for turfgrass using a subsurface electromagnetic soil moisture sensor.” Agric. Water Manage., 84(1–2), 153–165.
Bufon, V. B., Lascano, R. J., Bednarz, C., Booker, J. D., and Gitz, D. C. (2012). “Soil water content on drip irrigated cotton: Comparison of measured and simulated values obtained with the Hydrus 2-D model.” Irrig Sci., 30(4), 259–273.
Clark, G. A., Stanley, C. D., and Maynard, D. N. (1994). “Tensiometer control vs. tomato crop coefficients for irrigation scheduling.” American Society of Agricultural Engineers (ASAE), St. Joseph, MI.
Coelho, E. F., and Or, D. (1996). “Flow and uptake patterns affecting soil water sensor placement for drip irrigation management.” Trans. ASAE, 39(6), 2007–2016.
Dabach, S., Lazarovitch, N., Šimůnek, J., and Shani, U. (2013). “Numerical investigation of irrigation scheduling based on soil water status.” Irrig. Sci., 31(1), 27–36.
Dabach, S., Shani, U., and Lazarovitch, N. (2016). “The influence of water uptake on matric head variability in a drip-irrigated root zone.” Soil Tillage Res., 155, 216–224.
Dukes, M. D., Muñoz-Carpena, R., Zotarelli, L., Icerman, J., and Scholberg, J. M. (2007). “Soil moisture-based irrigation control to conserve water and nutrients under drip irrigated vegetable production.” Jornada de Investigación en la Zona no Saturada, 8, 229–236.
Dukes, M. D., and Scholberg, J. M. (2005). “Soil moisture controlled subsurface drip irrigation on sandy soils.” Appl. Eng. Agric., 21(1), 89–101.
Elmaloglou, S., and Diamantopoulos, E. (2008a). “The effect of hysteresis on three-dimensional transient water flow during surface trickle irrigation.” Irrig. Drain., 57(1), 57–70.
Elmaloglou, S., and Diamantopoulos, E. (2008b). “The effect of intermittent water application by surface point sources on the soil moisture dynamics and on deep percolation under the root zone.” Comput. Electr. Agric., 62(2), 266–275.
Elmaloglou, S., and Diamantopoulos, E. (2009). “Simulation of soil water dynamics under subsurface drip irrigation from line sources.” Agric. Water Manage., 96(11), 1587–1595.
Elmaloglou, S., and Soulis, K. X. (2013). “The effect of hysteresis on soil water dynamics during surface trickle irrigation in layered soils.” Global NEST J., 15(3), 351–365.
Elmaloglou, S., Soulis, K. X., and Dercas, N. (2013). “Simulation of soil water dynamics under surface drip irrigation from equidistant line sources.” Water Resour. Manage., 27(12), 4131–4148.
Fares, A., and Polyakov, V. (2006). “Advances in crop water management using capacitive water sensors.” Advances in agronomy, D. Sparks, ed., Elsevier Science, New York, 43–77.
Kargas, G., and Soulis, K. X. (2012). “Performance analysis and calibration of a new low-cost capacitance soil moisture sensor.” J. Irrig. Drain. Eng., 632–641.
Kargas, G., and Soulis, K. X. (2015). “Discussion of ‘Calibration of the 10HS soil moisture sensor for southwest Florida agricultural soils’ by David Spelman, Kristoph-Dietrich Kinzli, and Tanya Kunberger.” J. Irrig. Drain. Eng., 07014050.
Kim, Y., Evans, R. G., and Iversen, W. M. (2009). “Evaluation of closed-loop site specific irrigation with wireless sensor network.” J. Irrig. Drain. Eng., 25–31.
Kool, J. B., and Parker, J. C. (1987). “Development and evaluation of closed-form expressions for hysteretic soil hydraulic properties.” Water Resour. Res., 23(1), 105–114.
Miller, G. A., Farahani, H. J., Hassell, R. L., Khalilian, A., Adelberg, J. W., and Wells, C. E. (2014). “Field evaluation and performance of capacitance probes for automated drip irrigation of watermelons.” Agric. Water Manage., 131(1), 124–134.
Moriasi, D. N., Arnold, J. G., Van Liew, M. W., Bingner, R. L., Harmel, R. D., Veith, T. L. (2007). “Model evaluation guidelines for systematic quantification of accuracy in watershed simulations.” Trans. ASABE, 50(3), 885–900.
Mualem, Y. (1976). “A new model for predicting the hydraulic conductivity of unsaturated porous media.” Water Resour. Res., 12(3), 513–522.
Muñoz-Carpena, R., Dukes, M. D., Li, Y. C., and Klassen, W. (2005). “Field comparison of tensiometer and granular matrix sensor automatic drip irrigation on tomato.” HortTechnology, 15(3), 584–590.
Phene, C. J., and Howell, T. A. (1984). “Soil sensor control of high-frequency irrigation systems.” Trans. ASAE, 27(2), 392–396.
Schaap, M. G., Leij, F. J., and Van Genuchten, M. T. (2001). “Rosetta: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions.” J. Hydrol., 251(3-4), 163–176.
Scott, P. S., Farquhar, G. J., and Kouwen, N. (1983). “Hysteretic effects on net infiltration.” Advances in infiltration, American Society of Agricultural Engineers (ASAE), St. Joseph, MI, 163–170.
Šimůnek, J., Šejna, M., and van Genuchten, M. T. (1999). “The HYDRUS-2D software package for simulating two-dimensional movement of water, heat, and multiple solutes in variable saturated media.”, International Ground Water Modeling Center, Colorado School of Mines, Golden, CO.
Šimůnek, J., Šejna, M., and van Genuchten, M. T. (2006). “The HYDRUS software package for simulating two- and three-dimensional movement of water, heat, and multiple solutes in variably-saturated media.”, PC Progress, Prague, Czech Republic.
Smajstrla, A. G., and Koo, R. C. (1986). “Use of tensiometers for scheduling of citrus irrigation.” Proc. Florida State Hortic. Soc., 99, 51–56.
Soulis, K. X., Elmaloglou, S., and Dercas, N. (2015). “Investigating the effects of soil moisture sensors positioning and accuracy on soil moisture based drip irrigation scheduling systems.” Agric. Water Manage., 148, 258–268.
Taylor, S. A., and Ashcroft, G. L. (1972). Physical edaphology; the physics of irrigated and nonirrigated soils, W. H. Freeman & Co., San Francisco.
Topp, G. C., Davis, J. L., and Annan, A. P. (1980). “Electromagnetic determination of soil water content: Measurements in coaxial transmission lines.” Water Resour. Res., 16(3), 574–582.
Torre-Neto, A., Schueller, J. K., and Haman, D. Z. (2000). “Networked sensing and valve actuation for spatially–variable microsprinkler irrigation.” American Society of Agricultural Engineers (ASAE), St. Joseph, MI.
van Genuchten, M. T. (1980). “A closed form equation for predicting the hydraulic conductivity of unsaturated soils.” Soil Sci. Soc. Am. J., 44(5), 892–898.
Vellidis, G., and Smajstrla, A. G. (1992). “Modeling soil water redistribution and extraction patterns of drip irrigated tomatoes above a shallow water table.” Trans ASAE, 35(1), 183–191.
Wang, Y. N., Fan, J., Li, S. Q., Zeng, C., and Wang, Q. J. (2012). “Effects of sensor’s laying depth for precision irrigation on growth characteristics of maturate grapes.” Chinese J. Appl. Ecol., 23(8), 2062–2068.
Warrick, A. W., and Lomen, D. O. (1976). “Time-dependent linearized infiltration, III: Strip and disc sources.” Soil Sci. Soc. Am. J., 40(5), 639–643.
Zotarelli, L., Dukes, M. D., Scholberg, J. M. S., Femminella, K., and Muñoz-Carpena, R. (2011). “Irrigation scheduling for green bell peppers using capacitance soil moisture sensors.” J. Irrig. Drain. Eng., 73–81.
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© 2016 American Society of Civil Engineers.
History
Received: Oct 3, 2015
Accepted: Apr 26, 2016
Published online: Jul 12, 2016
Published in print: Nov 1, 2016
Discussion open until: Dec 12, 2016
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