Spatial and temporal monitoring of soil water content with an irrigated corn crop cover using surface electrical resistivity tomography

被引:312
作者
Michot, D
Benderitter, Y
Dorigny, A
Nicoullaud, B
King, D
Tabbagh, A
机构
[1] INRA Orleans, Unite Sci Sol, F-45166 Olivet, France
[2] Univ Paris 06, CNRS, UMR Sisyphe 7619, F-75252 Paris 05, France
关键词
soil moisture; unsaturated soil; electrical resistivity tomography; monitoring; infiltration; drying;
D O I
10.1029/2002WR001581
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A nondestructive and spatially integrated multielectrode method for measuring soil electrical resistivity was tested in the Beauce region of France during a period of corn crop irrigation to monitor soil water flow over time and in two-dimensional (2-D) with simultaneous measurements of soil moisture and thermal profiles. The results suggested the potential of surface electrical resistivity tomography (ERT) for improving soil science and agronomy studies. The method was able to produce a 2-D delimitation of soil horizons as well as to monitor soil water movement. Soil drainage through water uptake by the roots, the progression of the infiltration front with preferential flow zones, and the drainage of the plowed horizon were well identified. At the studied stage of corn development (3 months) the soil zones where infiltration and drainage occurred were mainly located under the corn rows. The structural soil characteristics resulting from agricultural practices or the passage of agricultural equipment were also shown. Two-dimensional sections of soil moisture content were calculated using ERT. The estimates were made by using independently established "in situ'' calibration relationships between the moisture and electrical resistivity of typical soil horizons. The thermal soil profile was also considered in the modeling. The results showed a reliable linear relationship between the calculated and measured water contents in the crop horizon. The precision of the calculation of the specific soil water content, quantified by the root mean square error (RMSE), was 3.63% with a bias corresponding to an overestimation of 1.45%. The analysis and monitoring of the spatial variability of the soil moisture content with ERT represent two components of a significant tool for better management of soil water reserves and rational irrigation practices.
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页数:20
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