According to the Hungarian Soil Information and
Monitoring System's (HSIMS) database a group estimation method was developed to
predict the mean soil hydrophysical properties. The estimation efficiency of
the worked out prediction procedures was controlled on a test database, and on
a dataset of a study area. It can be established that the water retention and
the hydraulic conductivity of soils are sufficiently predictable from the
category data of soil maps. The 10-digit map codes of the PWW mapping method were
created by different estimation methods, and as a result the PWW map was drawn.
However, it is not always possible to estimate the necessary soil hydrophysical
properties from the available map information for preparing the PWW map.
Sometimes the knowledge gained from the field reports is needed as well.
Further studies are planned for integrating these morphological information
into our estimations.
nonequilibrium flow and transport processes using HYDRUS. Vadose Zone Journal. 7. 782–797.
Seki, K., 2007. SWRC fit – a nonlinear fitting program with a waterretention curve for soils having unimodal and bimodal pore structure. Hydrol
. (Eds.: van Genuchten, M. Th. Leij,
F. & Wu, L.
) 1143–1160. University of California. Riverside, CA.
Gupta, S. C. & Larson, W. E.,
1979. Estimating soil waterretention characteristics from particle size
The floodplains of the Tisza River, stretching across the eastern part of Hungary, are often affected by riverine and inland excess water flooding and draught. This paper investigates a possible solution to this problem utilizing the water retention capabilities of old floodplains. In this study, the effect of the position of the inlet structures of a floodplain, near Csongrád town, was examined with HEC-RAS 1D-2D coupled model. Based on the results, the rules of the deep floodplain selection were determined. On the extended model, the possibilities of a deep floodplain storage area chain have been explored. According to the estimate, more than 2.36 km3 potential storage capacity is available along the Hungarian section of the Tisza River.
information on soils often constitute a basic source of information for studies
in production agriculture, environmental engineering, and remote sensing. A
new, searchable, relational database of soil physical and hydrophysical
properties has been developed for Hungarian soils. The database is stored in
MS-Access format. The database is compatible with most of the popular software
and can be run on a personal computer as well as on computer networks. It
currently stores data of 840 soil horizons, 576 having soil hydraulic data,
measured using nationally and internationally accepted standard methodology. An
outline of the structure and the contents of HUNSODA, as well as a basic guide
to its operation has been given. Developing this database may enhance the
ability of Hungarian soil scientists to address many more environmental issues
of concern, however, further expansion of the database is recommended.
Additional data can easily be included in the database. Expansion of the
database may help in making it more widely applicable.