Observed spatial organization of soil moisture and its relation to terrain indices

We analyze the degree of spatial organization of soil moisture and the ability of terrain attributes to predict that organization. By organization we mean systematic spatial variation or consistent spatial patterns. We use 13 observed spatial patterns of soil moisture, each based on over 500 point measurements, from the 10.5 ha Tarrawarra experimental catchment in Australia. The measured soil moisture patterns exhibit a high degree of organization during wet periods owing to surface and subsurface lateral redistribution of water. During dry periods there is little spatial organization. The shape of the distribution function of soil moisture changes seasonally and is influenced by the presence of spatial organization. Generally, it is quite different from the shape of the distribution functions of various topographic indices. A correlation analysis found that ln(a), where a is the specific upslope area, was the best univariate spatial predictor of soil moisture for wet conditions and that the potential radiation index was best during dry periods. Combinations of ln(a) or ln(a/tan(β)), where β is the surface slope, and the potential solar radiation index explain up to 61% of the spatial variation of soil moisture during wet periods and up to 22% during dry periods. These combinations explained the majority of the topographically organized component of the spatial variability of soil moisture a posteriori. A scale analysis indicated that indices that represent terrain convergence (such as ln(a) or ln(a/tan(β))) explain variability at all scales from 10 m up to the catchment scale and indices that represent the aspect of different hillslopes (such as the potential solar radiation index) explain variability at scales from 80 m to the catchment scale. The implications of these results are discussed in terms of the organizing processes and in terms of the use of terrain attributes in hydrologic modeling and scale studies. A major limitation on the predictive power of terrain indices is the degree of spatial organization present in the soil moisture pattern at the time for which the prediction is made.

[1]  Andrew W. Western,et al.  The Tarrawarra Data Set: Soil moisture patterns, soil characteristics, and hydrological flux measurements , 1998 .

[2]  Rodger B. Grayson,et al.  Distributed parameter hydrologic modelling using vector elevation data: THALES and TAPES-C. , 1995 .

[3]  Keith Beven,et al.  APPLICATION OF A GENERALIZED TOPMODEL TO THE SMALL RINGELBACH CATCHMENT, VOSGES, FRANCE , 1996 .

[4]  D. Zasłavsky,et al.  Surface Hydrology: I—Explanation of Phenomena , 1981 .

[5]  Peter Wallbrink,et al.  Hydrologic characteristics and modelling of a small forested catchment in southeastern new South Wales. Pre-logging condition , 1986 .

[6]  Keith Beven,et al.  Changing ideas in hydrology — The case of physically-based models , 1989 .

[7]  R. D. Black,et al.  Partial Area Contributions to Storm Runoff in a Small New England Watershed , 1970 .

[8]  Ian D. Moore,et al.  A quasi-dynamic wetness index for characterizing the spatial distribution of zones of surface saturation and , 1994 .

[9]  L. Nyberg Spatial variability of soil water content in the covered catchment at Gårdsjön, Sweden , 1996 .

[10]  András Bárdossy,et al.  Spatial distribution of soil moisture in a small catchment. Part 1: geostatistical analysis , 1998 .

[11]  Roy E. Williams Comment on “Statistical theory of groundwater flow and transport: Pore to laboratory, laboratory to formation, and formation to regional scale” by Gedeon Dagan , 1988 .

[12]  I. D. Moore,et al.  Topographic Effects on the Distribution of Surface Soil Water and the Location of Ephemeral Gullies , 1988 .

[13]  K. Beven,et al.  A physically based, variable contributing area model of basin hydrology , 1979 .

[14]  A. Rinaldo,et al.  On the spatial organization of soil moisture fields , 1995 .

[15]  M. Seyfried,et al.  Scale and the Nature of Spatial Variability: Field Examples Having Implications for Hydrologic Modeling , 1995 .

[16]  Günter Blöschl,et al.  Preferred states in spatial soil moisture patterns: Local and nonlocal controls , 1997 .

[17]  Jaroslav Hofierka,et al.  Interpolation by regularized spline with tension: II. Application to terrain modeling and surface geometry analysis , 1993 .

[18]  R. D. Black,et al.  An Experimental Investigation of Runoff Production in Permeable Soils , 1970 .

[19]  Tim Burt,et al.  Topographic controls of soil moisture distributions , 1985 .

[20]  Daniel Hillel,et al.  Modeling in Soil Physics: A Critical Review , 1987 .

[21]  R. Grayson,et al.  Geostatistical characterisation of soil moisture patterns in the Tarrawarra catchment , 1998 .

[22]  J. C. Thompson,et al.  Are Water Table Variations in a Shallow Forest Soil Consistent with the TOPMODEL Concept , 1996 .

[23]  G. Blöschl,et al.  Distributed Snowmelt Simulations in an Alpine Catchment: 2. Parameter Study and Model Predictions , 1991 .

[24]  A. Meijerink Introduction to the use of geographic information systems for practical hydrology , 1994 .

[25]  Keith Loague,et al.  Changing ideas in hydrology — The case of physically based models — Comment , 1990 .

[26]  I. Moore,et al.  Digital terrain modelling: A review of hydrological, geomorphological, and biological applications , 1991 .

[27]  William H. Press,et al.  Numerical recipes in C. The art of scientific computing , 1987 .

[28]  Ian D. Moore,et al.  Soil water prediction on the Konza Prairie by microwave remote sensing and topographic attributes , 1992 .

[29]  Garry R. Willgoose,et al.  A statistic for testing the elevation characteristics of landscape simulation models , 1994 .

[30]  M. G. Anderson,et al.  Toward More Detailed Field Monitoring of Variable Source Areas , 1978 .

[31]  M. Hutchinson,et al.  Splines — more than just a smooth interpolator , 1994 .

[32]  Thomas A. McMahon,et al.  Physically based hydrologic modeling: 2. Is the concept realistic? , 1992 .

[33]  G. Dagan Statistical Theory of Groundwater Flow and Transport: Pore to Laboratory, Laboratory to Formation, and Formation to Regional Scale , 1986 .

[34]  M. Costa-Cabral,et al.  Digital Elevation Model Networks (DEMON): A model of flow over hillslopes for computation of contributing and dispersal areas , 1994 .

[35]  H. Mitásová,et al.  Interpolation by regularized spline with tension: I. Theory and implementation , 1993 .

[36]  Thomas A. McMahon,et al.  Physically based hydrologic modeling: 1. A terrain‐based model for investigative purposes , 1992 .

[37]  D. Helsel,et al.  Statistical analysis of hydrologic data. , 1992 .

[38]  V. Singh,et al.  The HBV model. , 1995 .

[39]  R. Gunn,et al.  THE TERMINAL VELOCITY OF FALL FOR WATER DROPLETS IN STAGNANT AIR , 1949 .

[40]  Michael Edward Hohn,et al.  An Introduction to Applied Geostatistics: by Edward H. Isaaks and R. Mohan Srivastava, 1989, Oxford University Press, New York, 561 p., ISBN 0-19-505012-6, ISBN 0-19-505013-4 (paperback), $55.00 cloth, $35.00 paper (US) , 1991 .

[41]  Donald A. Parsons,et al.  The relation of raindrop-size to intensity , 1943 .

[42]  Jeff Dozier,et al.  A clear‐sky spectral solar radiation model for snow‐covered mountainous terrain , 1980 .

[43]  J.-P. Jordan Spatial and temporal variability of stormflow generation processes on a Swiss catchment , 1994 .

[44]  P. Kneale,et al.  The influence of low-angled topography on hillslope soil-water convergence and stream discharge , 1982 .

[45]  E. O'Loughlin,et al.  Saturation regions in catchments and their relations to soil and topographic properties , 1981 .

[46]  Günter Blöschl,et al.  How well do indicator variograms capture the spatial connectivity of soil moisture , 1998 .

[47]  William H. Press,et al.  Numerical recipes : the art of scientific computing : FORTRAN version , 1989 .

[48]  D. Sharon,et al.  The distribution of hydrologically effective rainfall incident on sloping ground , 1980 .

[49]  R. Allan Freeze,et al.  Mathematical simulation of subsurface flow contributions to snowmelt runoff, Reynolds Creek Watershed, Idaho , 1974 .

[50]  Interpolation by Regularized Spline with Tension � , 2022 .

[51]  J. Gómez-Hernández,et al.  Upscaling hydraulic conductivities in heterogeneous media: An overview , 1996 .

[52]  Ian D. Moore,et al.  Modelling environmental heterogeneity in forested landscapes , 1993 .

[53]  E. O'Loughlin Prediction of Surface Saturation Zones in Natural Catchments by Topographic Analysis , 1986 .