Comparison among monitoring strategies to assess water flow dynamic and soil hydraulic properties in agricultural soils

  1. Valdes-Abellan, Javier 1
  2. Jiménez-Martínez, Joaquín 2
  3. Candela, Lucila 3
  4. Tamoh, Karim 3
  1. 1 University of Alicante, Dept. Civil Engineering. Ctra.de San Vicente s/n. 03690 San Vicente del Raspeig (Alicante)
  2. 2 Geosciences Rennes, UMR 6118 CNRS, Université de Rennes I. Rennes
  3. 3 Technical University of Catalonia (UPC), Dept. Geotechnical Engineering and Geoscience. Barcelona
Mostrar afiliaciones +
Revista:
Spanish journal of agricultural research

ISSN: 1695-971X,  2171-9292

Año de publicación: 2015

Volumen: 13

Número: 1

Tipo: Artículo

DOI: 10.5424/SJAR/2015131-6323 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Spanish journal of agricultural research

Objetivos de desarrollo sostenible

Resumen

Irrigated agriculture is usually performed in semi-arid regions despite scarcity of water resources. Therefore, optimal irrigation management by monitoring the soil is essential, and assessing soil hydraulic properties and water flow dynamics is presented as a first measure. For this purpose, the control of volumetric water content, θ, and pressure head, h, is required. This study adopted two types of monitoring strategies in the same experimental plot to control θ and h in the vadose zone: i) non-automatic and more time-consuming; ii) automatic connected to a datalogger. Water flux was modelled with Hydrus-1D using the data collected from both acquisition strategies independently (3820 daily values for the automatic; less than 1000 for the non-automatic). Goodness-of-fit results reported a better adjustment in case of automatic sensors. Both model outputs adequately predicted the general trend of θ and h, but with slight differences in computed annual drainage (711 mm and 774 mm). Soil hydraulic properties were inversely estimated from both data acquisition systems. Major differences were obtained in the saturated volumetric water content, θs, and the n and α van Genuchten model shape parameters. Saturated hydraulic conductivity, Ks, shown lower variability with a coefficient of variation range from 0.13 to 0.24 for the soil layers defined. Soil hydraulic properties were better assessed through automatic data acquisition as data variability was lower and accuracy was higher.

Referencias bibliográficas

  • References
  • Abrahao R, Sarasa J, Causape J, Garcia-Garizabal I, Ovelleiro JL, 2011. Influence of irrigation on the occurrence of organic and inorganic pollutants in soil, water and sediments of a Spanish agrarian basin (Lerma). Span J Agric Res 9 (1): 124-134. http://dx.doi.org/10.5424/sjar/20110901-208-10
  • Aguilar M, Borjas F, Espinosa M, 2007. Agronomic response of maize to limited levels of water under furrow irrigation in southern Spain. Span J Agric Res 5 (4): 587-592. http://dx.doi.org/10.5424/sjar/2007054-280
  • Allen RG, Pereira LS, Raes D, Martin S, 1998. Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrig Drain Papers nº56. FAO, Rome. 326 pp.
  • Amezketa E, 2007. Soil salinity assessment using directed soil sampling from a geophysical survey with electromagnetic technology: A case study. Span J Agric Res 5 (1): 91-101. http://dx.doi.org/10.5424/sjar/2007051-225
  • Bonet L, Ferrer P, Castel JR, Intrigliolo DS, 2010. Soil capacitance sensors and stem dendrometers. useful tools for irrigation scheduling of commercial orchards? Span J Agric Res 8 (Suppl. 2): S52-S65. http://dx.doi.org/10.5424/sjar/201008S2-1348
  • Brown G, Brindley GW, 1980. X-ray diffraction procedures for clay mineral identification. In: Crystal structure of clay minerals and their x-ray identification. Mineral Soc Mon 5 (Brindley GW, Brown G, eds.). Mineralogical Society, London, pp: 305-360.
  • Cammalleri C, Agnese C, Ciraolo G, Minacapilli M, Provenzano G, 2013. Combined use of eddy covariance and sap flow techniques for partition of ET fluxes and water stress assessment in an irrigated olive orchard. Agr Water Manage 120: 89‐97. http://dx.doi.org/10.1016/j.agwat.2012.10.003
  • Candela L, Fabregat S, Josa A, Suriol J, Vigués N, Mas J, 2007. Assessment of soil and groundwater impacts by treated urban wastewater reuse. A case study: Application in a golf course (Girona, Spain). Sci Total Environ 374 (1): 26-35. http://dx.doi.org/10.1016/j.scitotenv.2006.12.028
  • Dahan O, Tatarsky B, Enzel Y, Kulls C, Seely M, Benito G, 2008. Dynamics of flood water infiltration and ground water recharge in hyperarid desert. Ground water 46 (3): 450-461. http://dx.doi.org/10.1111/j.1745-6584.2007.00414.x
  • Dane JH, Hopmans JW, 2002. Pressure plate extractor. In: Methods of soil analysis, Part 4. Physical methods (Dane J, Topp C, eds). Soil Sci Soc Am, Madison (WI, USA), pp: 688-690.
  • Dechmi F, Playan E, Faci J, Cavero J, 2010. Simulation of sprinkler irrigation water uniformity impact on corn yield. Span J Agric Res 8 (Suppl. 2): S143-S151. http://dx.doi.org/10.5424/sjar/201008S2-1357
  • Durner W, 2005. Study unit S2-5. Solute Transport in the Unsaturated Zone. Technische Universität Braunschweig, Institut für Geoökologie, 61 pp. Available in: http://www.soil.tu-bs.de/lehre/Skripte/2005.Durner.PROWATER.S2-5.Transport%20and%20Accessibility.pdf. [28 January 2015].
  • Feddes RA, Kowalik PJ, Zaradny H, 1978. Simulation of field water use and crop yield. Wiley, NY, USA. 188 pp.
  • Gee GW, Or D, 2002. Particle-size analysis. In: Methods of soil analysis, Part 4. Physical methods (Dane J, Topp C, eds). Soil Sci Soc Am, Madison (WI, USA), pp: 255-293.
  • Ghezzehei TA, 2008. Errors in determination of soil water content using time domain reflectometry caused by soil compaction around waveguides. Water Resour Res 44 (8): W08451. http://dx.doi.org/10.1029/2007WR006502
  • Grossman RB, Reinsch TG, 2002. Bulk density and linear extensibility. In: Methods of soil analysis, Part 4. Physical methods (Dane J, Topp C, eds). Soil Sci Soc Am, Madison (WI, USA), pp: 201-228.
  • Hussein F, Janat M, Yakoub A, 2011. Simulating cotton yield response to deficit irrigation with the FAO AquaCrop model. Span J Agric Res 9 (4): 1319-1330. http://dx.doi.org/10.5424/sjar/20110904-358-10
  • IPCC, 2007. Climate Change 2007: Synthesis report. Intergovernmental Panel On Climate Change, Geneva (Switzerland). Available in http://www.ipcc.ch/publications_and_data/ar4/syr/en/contents.html [28 January 2015].
  • Jiménez-Martínez J, Skaggs TH, van Genuchten MT, Candela L, 2009. A root zone modelling approach to estimating groundwater recharge from irrigated areas. J Hydrol 367 (1-2): 138-149. http://dx.doi.org/10.1016/j.jhydrol.2009.01.002
  • Jones A, 1991. X-Ray fluorescence analysis. In: Soil analysis. Modern instrumental techniques (Smith KA, ed.). Marcel Dekker, NY, USA, pp: 287-324.
  • Kloss S, Schùltze N, Schmidhalter U, 2014. Evaluation of very high soil water tension threshold values in sensor based deficit irrigation systems. J Irrig Drain Eng 140(9), A4014003. http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000722
  • Lattemann S, Höpner T, 2008. Environmental impact and impact assessment of seawater desalination. Desalination 220 (1-3): 1-15. http://dx.doi.org/10.1016/j.desal.2007.03.009
  • Laurent JP, Ruelle P, Bréda N, Chanzy A, Chevallier C, 2001. On the use of the TDR TRIME-TUBE system for profiling water content in soils. TDR'01 Proc 2nd Int Symp Workshop on time domain reflectometry for innovative geotechnical applications (Dowding CH, McGarry SM, Evanstons SE, eds.). Illinois (USA), pp: 1-10.
  • Laurent JP, Ruelle P, Delage L, Zaïri A, Nouna BB, Adjmi T, 2005. Monitoring soil water content profiles with a commercial TDR system. Vadose Zone J 4(4): 1030-1036. http://dx.doi.org/10.2136/vzj2004.0144
  • Malazian A, Hartsough P, Kamai T, Campbell GS, Cobos DR, Hopmans JW, 2011. Evaluation of MPS-1 soil water potential sensor. J Hydrol 402(1-2): 126-134. http://dx.doi.org/10.1016/j.jhydrol.2011.03.006
  • Marquardt D, 1963. An algorithm for least-squares estimation of nonlinear parameters. SIAM J Appl Math 11 (2): 431-441. http://dx.doi.org/10.1137/0111030
  • Medwsd Working Group, 2008. Mediterranean Water Scarcity and Drought Report. European Commission. Euro-Mediterranean Information System on know-how in the Water sector. Available in http://www.semide.net/topics/WaterScarcity/EUWI_WSD_Report_FINAL_June_2008.pdf. [28 January 2015].
  • Mualem Y, 1976. A new model for predicting the hydraulic conductivity of unsaturated porous media. Water Resour Res 12(3): 513-522. http://dx.doi.org/10.1029/WR012i003p00513
  • Nash JE, Sutcliffe JV, 1970. River flow forecasting through conceptual models, Part I. A discussion of principles. J Hydrol 10(3): 282-290. http://dx.doi.org/10.1016/0022-1694(70)90255-6
  • Rallo G, Agnese C, Minacapilli M, Provenzano G, 2012. Comparison of SWAP and FAO agro‐hydrological models to schedule irrigation of wine grape. J Irrig Drain Eng 138(1): 581‐591. http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000435
  • Rallo G, Baiamonte G, Manzano Juárez J, Provenzano G, 2014. Improvement of FAO‐56 model to estimate transpiration fluxes of drought tolerant crops under soil water deficit: application for olive groves. J Irrig Drain Eng 140(9): 1‐8. http://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000693
  • Rey D, Garrido A, Mínguez MI, Ruiz-Ramos M, 2011. Impact of climate change on maize's water needs, yields and profitability under various water prices in Spain. Span J Agric Res 9(4): 1047-1058. http://dx.doi.org/10.5424/sjar/20110904-026-11
  • Reynolds WD, Elrick DE, 2002. Constant head soil core (tank) method. In: Methods of soil analysis, Part 4. Physical methods (Dane J, Topp C, eds). Soil Sci Soc Am, Madison (WI, USA), pp: 804-808.
  • Richards LA, 1931. Capillary conduction of liquids through porous mediums. J Appl Phys 1(5): 318-333.
  • Rosenbaum U, Huisman JA, Weuthen A, Vereecken H, Bogena HR, 2010. Sensor-to-sensor variability of the ECH2o EC-5, TE, and 5TE sensors in dielectric liquids. Vadose Zone J 9(1): 181-186. http://dx.doi.org/10.2136/vzj2009.0036
  • Rosenbaum U, Huisman JA, Vrba J, Vereecken H, Bogena HR, 2011. Correction of temperature and electrical conductivity effects on dielectric permittivity measurements with ECH 2O sensors. Vadose Zone J 10(2): 582-593. http://dx.doi.org/10.2136/vzj2010.0083
  • Rothe A, Weis W, Kreutzer K, Matthies D, Hess U, Ansorge B, 1997. Changes in soil structure caused by the installation of time domain reflectometry probes and their influence on the measurement of soil moisture. Water Resour Res 33(7): 1585-1593. http://dx.doi.org/10.1029/97WR00677
  • Scanlon BR, Healy RW, Cook PG, 2002. Choosing appropriate techniques for quantifying groundwater recharge. Hydrogeol J 10(1): 18-39. http://dx.doi.org/10.1007/s10040-001-0176-2
  • Schaap MG, Leij FJ, van Genuchten MT, 2001. Rosetta: A computer program for estimating soil hydraulic parameters with hierarchical pedotransfer functions. J Hydrol 251(3-4): 163-176. http://dx.doi.org/10.1016/S0022-1694(01)00466-8
  • Seki K, 2007. SWRC fit - A nonlinear fitting program with a water retention curve for soils having unimodal and bimodal pore structure. Hydrol Earth Syst Sci Discuss 4(1): 407-437. http://dx.doi.org/10.5194/hessd-4-407-2007
  • Šimůnek J, Šejna M, Saito H, Sakai M, van Genuchten MT, 2009. The Hydrus-1D software package for simulating the movement of water, heat, and multiple solutes in variability saturated media, v. 4.08. Dept Environ Sci, Univ California, Riverside, CA, USA. Available in http://www.pc-progress.com/Downloads/Pgm_hydrus1D/HYDRUS1D-4.08.pdf. [28 January 2015].
  • Skhiri A, Dechmi F, 2011. Irrigation return flows and phosphorus transport in the middle Ebro River Valley (Spain). Span J Agric Res 9 (3): 938-949. http://dx.doi.org/10.5424/sjar/20110903-360-10
  • Soto-García M, Martínez-Alvarez V, García-Bastida PA, Alcon F, Martin-Gorriz B, 2013. Effect of water scarcity and modernisation on the performance of irrigation districts in south-eastern Spain. Agr Water Manage 124: 11-19. http://dx.doi.org/10.1016/j.agwat.2013.03.019
  • SSSA, 2002. Methods of soil analysis. Part 4. Physical methods. SSSA Series. Soil Sci Soc Am, Madison, USA, 1692 pp.
  • Topp GC, Ferré PA, 2002. Thermogravimetric using convective oven-drying. In: Methods of soil analysis, Part 4. Physical methods (Dane J, Topp C, eds). Soil Sci Soc Am, Madison (WI, USA), pp: 422-424.
  • Ucar Y, Kadayifci A, Yilmaz HI, Tuylu GI, Yardimci N, 2009. The effect of deficit irrigation on the grain yield of dry bean (Phaseolus vulgaris L.) in semiarid regions. Span J Agric Res 7 (2): 474-485. http://dx.doi.org/10.5424/sjar/2009072-1498
  • Valdes-Abellan J, 2013. Study of impacts on the vadose zone deriving from use of brackish inland aquifers desalted water. Doctoral Thesis. Univ Alicante, Spain.
  • Van Genuchten MT, 1980. Closed-form equation for predicting the hydraulic conductivity of unsaturated soils. Soil Sci Soc Am J 44(5): 892-898. http://dx.doi.org/10.2136/sssaj1980.03615995004400050002x
  • Varble JL, Chávez JL, 2011. Performance evaluation and calibration of soil water content and potential sensors for agricultural soils in eastern Colorado. Agr Water Manage 101(1): 93-106. http://dx.doi.org/10.1016/j.agwat.2011.09.007
  • Wallis KJ, Candela L, Mateos RM, Tamoh K, 2011. Simulation of nitrate leaching under potato crops in a Mediterranean area. Influence of frost prevention irrigation on nitrogen transport. Agr Water Manage 98(10): 1629-1640. http://dx.doi.org/10.1016/j.agwat.2011.06.001
  • Wesseling JG, Brandyk T, 1985. Introduction of the occurrence of high groundwater levels and surface water storage in computer program SWATRE. ICW, Wageningen, The Netherlands, 46 pp. Available in http://library.wur.nl/WebQuery/wurpubs/425271 [28 January 2015].
  • West J, Truss SW, 2006. Borehole time domain reflectometry in layered sandstone: Impact of measurement technique on vadose zone process identification. J Hydrol 319(1-4): 143-162. http://dx.doi.org/10.1016/j.jhydrol.2005.06.033
  • Wollschläger U, Pfaff T, Roth K, 2009. Field-scale apparent hydraulic parameterisation obtained from TDR time series and inverse modelling. Hydrol Earth Syst Sci 13(10): 1953-1966. http://dx.doi.org/10.5194/hess-13-1953-2009
  • Xu J, Chen W, Wu L, Green R, Chang AC, 2009. Leachability of some emerging contaminants in reclaimed municipal wastewater-irrigated turf grass fields. Environ Toxicol Chem 28(9): 1842-1850. http://dx.doi.org/10.1897/08-471.1
  • Yakirevich A, Gish TJ, Šimůnek J, van Genuchten MT, Pachepsky YA, Nicholson TJ, Cady RE, 2010. Potential impact of a seepage face on solute transport to a pumping well. Vadose Zone J 9(3): 686-696. http://dx.doi.org/10.2136/vzj2009.0054
Fuente de los datos: Dialnet