Simple and Cost-Effective Method for Reliable Indirect Determination of Field Capacity

被引:1
作者
Almaz, Cansu [1 ]
Mihalikova, Marketa [1 ]
Batkova, Kamila [1 ]
Vopravil, Jan [2 ]
Matula, Svatopluk [1 ]
Khel, Tomas [2 ]
Kara, Recep Serdar [1 ]
机构
[1] Czech Univ Life Sci Prague, Dept Water Resources, Fac Agrobiol Food & Nat Resources, Prague 16500, Czech Republic
[2] Res Inst Soil & Water Conservat, Dept Pedol & Soil Conservat, Prague 15600, Czech Republic
关键词
field capacity; maximum capillary water capacity; retention water capacity; pedotransfer functions; filter paper draining method; HYDRAULIC-PROPERTIES; SOIL; DATABASE; SYSTEM;
D O I
10.3390/hydrology10100202
中图分类号
TV21 [水资源调查与水利规划];
学科分类号
081501 ;
摘要
This study introduces a simple and cost-effective method for the indirect determination of field capacity (FC) in soil, a critical parameter for soil hydrology and environmental modeling. The relationships between FC and soil moisture constants, specifically maximum capillary water capacity (MCWC) and retention water capacity (RWC), were established using undisturbed soil core samples analyzed via the pressure plate method and the "filter paper draining method". The aim was to reduce the time and costs associated with traditional FC measurement methods, as well as allowing for the use of legacy databases containing MCWC and RWC values. The results revealed the substantial potential of the "filter paper draining method" as a promising approach for indirect FC determination. FC determined as soil water content at -33 kPa can be effectively approximated by the equation FC33 = 1.0802 RWC - 0.0688 (with RMSE = 0.045 cm3/cm3 and R = 0.953). FC determined as soil water content at -5 or -10 kPa can be effectively approximated by both equations FC5 = 1.0146 MCWC - 0.0163 (with RMSE = 0.027 cm3/cm3 and R = 0.961) and FC10 = 1.0152 MCWC - 0.0275 (with RMSE = 0.033 cm3/cm3 and R = 0.958), respectively. Historical pedotransfer functions by BreznATIN SMALL LETTER Y WITH ACUTE and Vasa relating FC to fine particle size fraction were also evaluated for practical application, and according to the results, they cannot be recommended for use.
引用
收藏
页数:15
相关论文
共 35 条
  • [1] A Decision Support System-Fertigation Simulator (DSS-FS) for design and optimization of sprinkler and drip irrigation systems
    Barradas, J. M. Moreira
    Matula, S.
    Dolezal, F.
    [J]. COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2012, 86 : 111 - 119
  • [2] Breny O., 1970, Sci. Work. Res. Inst. Irrig. Manag. Bratisl, V8, P53
  • [3] Cassel D. K., 1986, Methods of soil analysis. Part 1. Physical and mineralogical methods, P901
  • [4] Actual Evapotranspiration of Unirrigated Grass in a Smart Field Lysimeter
    Dolezal, Frantisek
    Hernandez-Gomis, Rebeca
    Matula, Svatopluk
    Gulamov, Mukhitdin
    Mihalikova, Marketa
    Khodjaev, Sanjar
    [J]. VADOSE ZONE JOURNAL, 2018, 17 (01)
  • [5] Drbal J., 1971, Practicum in Soil Amelioration Pedology, V1st
  • [6] Gulser C., 2016, Eurasian Journal of Soil Science, V5, P192, DOI 10.18393/ejss.2016.3.192-200
  • [7] Machine Learning Approaches to Develop Pedotransfer Functions for Tropical Sri Lankan Soils
    Gunarathna, M. H. J. P.
    Sakai, Kazuhito
    Nakandakari, Tamotsu
    Momii, Kazuro
    Kumari, M. K. N.
    [J]. WATER, 2019, 11 (09)
  • [8] Haberle J., 2016, P MEND BIOCL INT C B
  • [9] The 13C Discrimination of Crops Identifies Soil Spatial Variability Related to Water Shortage Vulnerability
    Haberle, Jan
    Duffkova, Renata
    Raimanova, Ivana
    Fucik, Petr
    Svoboda, Pavel
    Lukas, Vojtech
    Kuresova, Gabriela
    [J]. AGRONOMY-BASEL, 2020, 10 (11):
  • [10] Klute A., 1986, Methods of soil analysis. Part 1. Physical and mineralogical methods, P687