Estimation of soil hydraulic properties from numerical inversion of tension disk infiltrometer data

被引:63
|
作者
Ramos, T. B. [1 ]
Goncalves, M. C.
Martins, J. C.
van Genuchten, M. Th.
Pires, F. P.
机构
[1] Estacao Agron Nacl, P-2784505 Oeiras, Portugal
[2] ARS, USDA, George E Brown Jr Salin Lab, Riverside, CA 92507 USA
关键词
D O I
10.2136/vzj2005.0076
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Many applications involving variably saturated flow and transport require estimates of the unsaturated soil hydraulic properties. Numerical inversion of cumulative infiltration data during transient flow, complemented with initial or final soil water content data, is an increasingly popular approach for estimating the hydraulic curves. In this study, we compared Mualem-van Genuchten (MVG) soil hydraulic parameters obtained from direct laboratory and in situ unsaturated hydraulic conductivity measurements with estimates using numerical inversion of tension infiltration data of four coarse- to medium-textured soils in Alentejo (Portugal). The laboratory methods used were suction tables, pressure plates, and the evaporation method as applied to undisturbed soil samples collected from the surface horizons of four different soil profiles. Field measurements were taken with a tension disk infiltrometer using consecutive supply pressure heads of -15, -6, -3, and 0 cm. Six MVG parameters (residual soil water content [theta(r)], saturated soil water content [theta(s)], empirical shape factors alpha, eta, and l, and saturated hydraulic conductivity [K-s]) were estimated from the field data by numerical inversion using the HYDRUS-2D software package, and compared with values estimated from the laboratory data. Macroporosity was also determined. The laboratory- and field-measured water retention curves were found to agree closely for most experiments as reflected by relatively high values of the coefficient of determination, the modified coefficient of efficiency, and the modified index of agreement (always >0.9949, 0.8412, and 0.8931, respectively). The unsaturated hydraulic conductivity curves were predicted less accurately, although good estimates of K-s were obtained.
引用
收藏
页码:684 / 696
页数:13
相关论文
共 50 条
  • [21] Microflowmeter-tension disc infiltrometer: Part II - Hydraulic properties estimation from transient infiltration rate analysis
    Moret-Fernandez, David
    Latorre, Borja
    Gonzalez-Cebollada, Cesar
    JOURNAL OF HYDROLOGY, 2012, 466 : 159 - 166
  • [22] Influence of the pressure head sequence on the soil hydraulic conductivity determined with tension infiltrometer
    Bagarello, V
    Castellini, M
    Iovino, M
    APPLIED ENGINEERING IN AGRICULTURE, 2005, 21 (03) : 383 - 391
  • [23] Determining hydraulic properties of a loam soil by alternative infiltrometer techniques
    Alagna, V.
    Bagarello, V.
    Di Prima, S.
    Iovino, M.
    HYDROLOGICAL PROCESSES, 2016, 30 (02) : 263 - 275
  • [24] An improved disc infiltrometer method for calculating soil hydraulic properties
    Xue, XZ
    Zhang, RD
    Gui, SX
    CANADIAN JOURNAL OF SOIL SCIENCE, 2004, 84 (03) : 265 - 273
  • [25] Estimating soil hydraulic properties using tension infiltrometers with varying disk diameters
    Wang, D
    Yates, SR
    Lowery, B
    van Genuchten, MT
    SOIL SCIENCE, 1998, 163 (05) : 356 - 361
  • [26] Estimating unsaturated soil hydraulic properties in sloping lands by numerical inversion
    Raoof, Majid
    Pilpayeh, Alireza
    JOURNAL OF FOOD AGRICULTURE & ENVIRONMENT, 2011, 9 (3-4): : 1067 - 1070
  • [27] The role of the initial soil water content in the determination of unsaturated soil hydraulic conductivity using a tension infiltrometer
    Matula, S.
    Mihalikova, M.
    Lufinkova, J.
    Batkova, K.
    PLANT SOIL AND ENVIRONMENT, 2015, 61 (11) : 515 - 521
  • [28] Field measurements with tension infiltrometer of hydraulic properties of Mnasra soils, Morocco.
    Tamoh, K
    Maslouhi, A
    COMPTES RENDUS GEOSCIENCE, 2004, 336 (06) : 535 - 545
  • [29] A MATLAB program for estimation of unsaturated hydraulic soil parameters using an infiltrometer technique
    Mollerup, Mikkel
    Hansen, Soren
    Petersen, Carsten
    Kjaersgaard, Jeppe H.
    COMPUTERS & GEOSCIENCES, 2008, 34 (08) : 861 - 875
  • [30] Estimation of the soil hydraulic properties from field data by solving an inverse problem
    Guellouz, Lamia
    Askri, Brahim
    Jaffre, Jerome
    Bouhlila, Rachida
    SCIENTIFIC REPORTS, 2020, 10 (01)