@article{fdi:010054104,
  title = {{P}redicting plot-scale water infiltration using the correlation between soil apparent electrical resistivity and various soil properties},
  author = {{C}haplot, {V}incent and {J}ewitt, {G}. and {L}orentz, {S}.},
  editor = {},
  language = {{ENG}},
  abstract = {{T}he identification of runoff source areas is essential for {I}ntegrated {W}ater and {R}esources {M}anagement ({IWRM}). {A}lthough direct methods for the determination of steady-state water infiltration in soils ({I}nf) do exist, these are tedious and time-consuming. {G}eophysical techniques offer an alternative, however, geophysical data are often misinterpreted, especially in terms of the inter-relationships between soil apparent electrical resistivity ({R}ho) and {I}nf and several other soil physical or chemical properties. {T}his paper evaluates the magnitude of the extend {R}ho measurements might allow prediction of {I}nf. {T}his study was conducted in the {K}wazulu-{N}atal province of {S}outh {A}frica where surface runoff arising from the steep slopes has a large impact in land degradation. {M}easurements of {R}ho with an {RM}-15 resistance meter were taken within a 10 x 30 m plot showing similar sandy-loam {A}crisols but different proportions of soil surface coverage by plants (from 0-5% to 75-100%), depth to the clayey {B}w horizon ({D}28), top-soil (0-0.1m) water content (0) and bulk density ({BD}). {T}here was a low correlation between {R}ho and {I}nf obtained under controlled conditions of rainfall (30 mm h(-1) during 45 min) at fifteen 1 m(2) micro-plots (r(2) = 0.30). {H}owever, the correlation with the normalized {R}ho ({R}ho) as if {D}2{B}, 0, and {BD} were constant over the study plot and equal to their average value, was much higher (r(2) = 0.66), pointing out the need to consider the complex and multiple correlations between soil properties and {R}ho in an attempt to map the spatial variations of {I}nf. {F}inally, the use of {R}ho, as a co-kriging co-variate appeared to significantly improve the short range spatial prediction of water infiltration in soils and thus {IWRM} implementation.},
  keywords = {{S}oil degradation ; {D}igital mapping ; {D}egraded pasture ; {S}oil erosion ; {S}patial correlations},
  booktitle = {},
  journal = {{P}hysics and {C}hemistry of the {E}arth},
  volume = {36},
  numero = {14-15},
  pages = {1033--1042},
  ISSN = {1474-7065},
  year = {2011},
  DOI = {10.1016/j.pce.2011.08.017},
  URL = {https://www.documentation.ird.fr/hor/fdi:010054104},
}