NDA@SZTAKI

Water Retention of Salt-Affected Soils: Quantitative Estimation Using Soil Survey Information

TĂłth, Brigitta

Makó, András

Guadagnini, Alberto

TĂłth, Gergely

2012

S590 Soill / Talajtan

Soil water retention (SWR) at -0.1, -33, -1500, and -150000 kPa matric potentials
and available water content (AWC) were estimated from information available
from 729 horizons of salt-affected soils in the Hungarian Detailed Soil Hydrophysical
Database. Soil characteristics of the 1:10,000 scale Hungarian soil maps were
used as input parameters. Ordinal and nominal (categorical) variables: texture,
organic matter content, calcium carbonate content, soluble salt content, pH, and soil
subtype classes of the soil map were used to develop a new prediction method based
on the CHAID classification tree. Results of the model development were compared
with results using conventional prediction methods (classification tree (CRT) and
multiple linear regression (MLR)). Four types of pedotransfer rules were established
by classification tree methods. The first rule uses continuous-type input parameters,
the second uses soil taxonomical information in addition, the third and
fourth one uses categorical-type input parameters. In addition, continuous pedotransfer
functions (point estimations) were established as well. Results show that
the root mean square error (RMSE) of the developed method is between 1.25 vol%
(150000 kPa) and 6.40 vol% (-33 kPa). With the mentioned available input parameters,
for salt-affected soils the prediction reliability is similar with categorical and
continuous-type information. To predict SWR from categorical-type information
the CHAID method is advisable. In the case of continuous-type input parameters
MLR is suggested, based on this study. The established hydropedologic methods can be readily used to prepare available water content maps for the topsoil of salt
affected soils based on solely soil survey information.

angol

Article

PeerReviewed

info:eu-repo/semantics/article

text

http://real.mtak.hu/61564/1/Toth_et_al_2012_Water_retention...

Tóth, Brigitta and Makó, András and Guadagnini, Alberto and Tóth, Gergely (2012) Water Retention of Salt-Affected Soils: Quantitative Estimation Using Soil Survey Information. Arid Land Research and Management, 26 (2). pp. 103-121. ISSN 1532-4982

http://real.mtak.hu/61564/

http://doi.org/10.1080/15324982.2012.657025

doi:10.1080/15324982.2012.657025