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Three basic multiple-linear regression models with different sets of more readily observed environmental variables (land use, topographic and meteorological factors) were developed for the prediction of soil moisture content in space and time. The model performances were evaluated in the Danangou catchment (3.5 km 2 ) on the Loess Plateau, China, with soil moisture content measurements. The...
The degree of spatial variability of soil moisture and the ability of environmental attributes to predict that variability were studied at the Da Nangou catchment (3·5 km 2 ) in the semi-arid loess area of China. Soil moisture measurements were performed biweekly at five depths in the soil profile (0–5 cm, 10–15 cm, 20–25 cm, 40–45 cm and 70–75 cm) from May to October 1998 and from May to...
The profile characteristics and the temporal dynamics of soil moisture variation were studied at 26 locations in Da Nangou catchment (3.5km 2 ) in the loess area of China. Soil moisture measurements were performed biweekly at five depths in the soil profile (0-5, 10-15, 20-25, 40-45 and 70-75cm) from May to October 1998 using Delta-T theta probe. Soil moisture profile type and temporal variation...
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