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J. Wang, B. Fu, Y. Qiu, L. Chen and Z. Wang, “Geostatis-tical Analysis of Soil Moisture Variability on Da Nangou Catchment of the Loess Plateau, China,” Environmental Geology, Vol. 41, No. 1-2, 2001, pp. 113-120.

has been cited by the following article:

• TITLE: Spatial and Temporal Variability of Soil Moisture

  AUTHORS: Vanita Pandey, Pankaj K. Pandey

  KEYWORDS: Soil Moisture, Spatial & Temporal Variability, Kriging

  JOURNAL NAME: International Journal of Geosciences, Vol.1 No.2, August 24, 2010

  ABSTRACT: The characterization of temporal and spatial variability of soil moisture is highly relevant for understanding the many hydrological processes, to model the processes better and to apply them to conservation planning. Considerable variability in space and time coupled with inadequate and uneven distribution of irrigation water results in uneven yield in an area Spatial and temporal variability highly affect the heterogeneity of soil water, solute transport and leaching of chemicals to ground water. Spatial variability of soil moisture helps in mapping soil properties across the field and variability in irrigation requirement. While the temporal variability of water content and infiltration helps in irrigation management, the temporal correlation structure helps in forecasting next irrigation. Kriging is a geostatistical technique for interpolation that takes into account the spatial auto-correlation of a variable to produce the best linear unbiased estimate. The same has been used for data interpolation for the C. T. A. E. Udaipur India. These interpolated data were plotted against distance to show variability between the krigged value and observed value. The range of krigged soil moisture values was smaller than the observed one. The goal of this study was to map layer-wise soil moisture up to 60 cm depth which is useful for irrigation planning.