Simultaneous estimation of the soil hydraulic conductivity and the van Genuchten water retention parameters from an upward infiltration experiment

被引:19
|
作者
Latorre, B. [1 ]
Moret-Fernandez, D. [1 ]
机构
[1] CSIC, Estn Expt Aula Dei, POB 202, Zaragoza 50059, Spain
关键词
Soil hydraulic properties; Sorptivity; Inverse analysis; Richard's model; EVAPORATION METHOD; DISC INFILTROMETER; UNSATURATED SOIL; MULTIPLE TENSION; SORPTIVITY;
D O I
10.1016/j.jhydrol.2019.03.011
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
This paper presents a new laboratory method to simultaneously estimate K-s and a and n parameters of the van Genuchten (1980) theta(h) from the inverse analysis of an upward infiltration curve measured in a 5-cm high soil column. The method was evaluated on synthetic 1D infiltration curves generated for a theoretical loamy sand, loam and clay soil. The influence of the soil initial condition on the inverse analysis was also studied. Next, an optimization method was presented and tested on eight theoretical soils (from loamy sand to clay). The method was subsequently applied to experimental curves measured on five sieved soils (from sand to clay) packed in 5-cm high and diameter cylinders. The K-s, alpha and n values estimated from the inverse analysis of the experimental curves were compared to those measured by Darcy and the pressure cell method (PC). The initial soil tension, h(i), which had an important influence on the optimization, was fixed to - 6.0.10(5) cm. The optimization method resulted robust and allowed accurate estimates of the actual hydraulic parameters. A close to one relationship (R-2 = 0.99) was observed between the theoretical a and n and the corresponding values obtained with the inverse analysis. Regarding to the experimental soils, significant relationships close to one were obtained between K-s and n (R-2 > 0.98) estimated from inverse analysis and those measured with Darcy and PC. A nonsignificant relationship with slope away from one was found for alpha.
引用
收藏
页码:461 / 469
页数:9
相关论文
共 50 条
  • [31] Estimation of Hydraulic Parameters from the Soil Water Characteristic Curve
    Angelaki, Anastasia
    Bota, Vasiliki
    Chalkidis, Iraklis
    SUSTAINABILITY, 2023, 15 (08)
  • [32] Prediction of the absolute hydraulic conductivity function from soil water retention data
    Peters, Andre
    Hohenbrink, Tobias L. L.
    Iden, Sascha C. C.
    van Genuchten, Martinus Th.
    Durner, Wolfgang
    HYDROLOGY AND EARTH SYSTEM SCIENCES, 2023, 27 (07) : 1565 - 1582
  • [33] Spatial relationships between the van Genuchten soil-water retention curve parameters and photosynthetic gas exchange variables in a wheat field
    Heydari, Ladan
    Bayat, Hossein
    Sarmadian, Fereydoon
    SOIL & TILLAGE RESEARCH, 2023, 234
  • [34] Metropolis-Hastings Markov Chain Monte Carlo Approach to Simulate van Genuchten Model Parameters for Soil Water Retention Curve
    Du, Xuan
    Du, Can
    Radolinski, Jesse
    Wang, Qianfeng
    Jian, Jinshi
    WATER, 2022, 14 (12)
  • [35] A modified van-Genuchten model for soil-water retention modeling by considering plant additives
    Xing, Xuguang
    Liu, Ye
    Ma, Xiaoyi
    ARCHIVES OF AGRONOMY AND SOIL SCIENCE, 2019, 65 (04) : 435 - 449
  • [36] Approaches for Estimating Soil Water Retention Curves at Various Bulk Densities With the Extended Van Genuchten Model
    Tian, Zhengchao
    Gao, Weida
    Kool, Dilia
    Ren, Tusheng
    Horton, Robert
    Heitman, Joshua L.
    WATER RESOURCES RESEARCH, 2018, 54 (08) : 5584 - 5601
  • [37] Estimation of soil hydraulic properties and their uncertainty through the Beerkan infiltration experiment
    Ghavidelfar, Saeed
    Shamseldin, Asaad Y.
    Melville, Bruce W.
    HYDROLOGICAL PROCESSES, 2015, 29 (17) : 3699 - 3713
  • [38] Soil water retention and hydraulic conductivity dynamics following tillage
    Kool, D.
    Tong, B.
    Tian, Z.
    Heitman, J. L.
    Sauer, T. J.
    Horton, R.
    SOIL & TILLAGE RESEARCH, 2019, 193 : 95 - 100
  • [39] Soil water retention and hydraulic conductivity measured in a widesaturation range
    Hohenbrink, Tobias L.
    Jackisch, Conrad
    Durner, Wolfgang
    Germer, Kai
    Iden, Sascha C.
    Kreiselmeier, Janis
    Leuther, Frederic
    Metzger, Johanna C.
    Naseri, Mahyar
    Peters, Andre
    EARTH SYSTEM SCIENCE DATA, 2023, 15 (10) : 4417 - 4432
  • [40] GLUE algorithm capability in estimating the van Genuchten soil-water characteristic parameters and their uncertainties
    Etminan, Samaneh
    Jalali, Vahidreza
    Mahmoodabadi, Majid
    Siuki, Abbas Khashei
    Bilondi, Mohsen Pourreza
    PADDY AND WATER ENVIRONMENT, 2022, 20 (02) : 227 - 239