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Although the major problem facing hydrogeologists today involves predicting how the Earth will respond to global change over a geological timescale, several studies have recently shown how that task can be substantially simplified by means of a knowledge of past change. The latter is based on the fact that the past behavior of the land surface (and therefore of rivers, which are the largest conduit of water on land) can be examined through statistical techniques applied to the distribution of observed present-day catchments. In some cases (e.g. Collier 1990; Carling and Nix 1994) this approach has yielded surprisingly accurate results when compared with detailed hydrologic models. What is more, the methodology has practical value in that the projection of catchment hydrology into the future depends entirely on the interpretation of complex present-day catchments, and not on detailed hydrogeologic models that are difficult to calibrate and have poor predictive value. As a result, we have a new generation of statistical hydrologic models that will be reviewed below.
Methods
The first step in applying such techniques is to define a measurement scale that will separate the topography from the land surface and that will be numerically compatible with the analysis of catchment distribution. The most common scales are the 100-m resolution of digital elevation models, satellite images and the 1.0-km resolution of aeromagnetic maps. This may be a problem because the distinction between, for example, the stream basin and the main watershed is not always clear-cut, and land-surface changes are often characterized by a complex pattern of topographic displacement (
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