Evaluation and improvement of soil water characteristic curves through
in-situ monitoring data in the plains
Abstract
In the agricultural area of humid plains, soil water migration and
exchange events are frequent and disruptive. Studies on the soil water
characteristic curve (SWCC) of unsaturated zones show they are
significantly impacted by regional water cycles. In this study, a
variety of hydrological data parameters such as rainfall, evaporation,
soil water content, and groundwater level were continuously collected
for Jintan experimental site in the plains of Taihu Basin, China. The
observation results show that the soil water content changes drastically
in the flood season every year, with the occurrence of obvious
absorption and desorption processes. In terms of soil water content, the
soil layer corresponding to a depth of 0-40 cm below the ground is the
zone that is most frequently and severely altered. The SWCC based on
field data was obtained through numerical inversion of soil water
characteristic parameters in a numerical code (HYDRUS-1D). Compared with
those measured in the laboratory, the field measured curves in each
depth range are more consistent with the characteristics of silty clay
loam. The SWCC from field data and the laboratory data were each applied
to simulate soil water content for different depths in precipitation
events. The simulation results based on the field data showed
significantly better correspondence than the results of the laboratory
simulation and were more consistent with the changes in soil water
content measured in the field.