Abstract

A key component to understanding and predicting water fluxes and water quality in river basins is the spatial distribution of water-saturated areas. There is limited knowledge on spatial patterns of saturated areas, their relation to landscape characteristics and processes, and the ability of hydrological models to represent the observed spatial patterns, particularly at the large scales most relevant for water resources management. In this study, saturated areas were mapped in two mesoscale (18 and 40 km2), humid temperate basins. Geobotanical and pedological criteria were used to achieve a consistent time-integrated delineation of saturated areas. Using commonly available spatial data on landscape characteristics, various terrain indices were evaluated for their ability to predict the observed patterns. Quantitative performance criteria describing the agreement of modeled and observed spatial patterns included cell-by-cell and cell-neighborhood approaches. Upslope contributing area was the most important single factor explaining the observed pattern. An improved pattern was obtained for the topographic wetness index (TOPMODEL index). However, the performance was markedly sensitive to the algorithms used for calculation of upslope contributing area and slope gradient. Other factors such as soil or climate were of less value for improving the predictions. The optimum spatial agreement of observed and modeled saturated areas was about 50% for a combined soil-climate-topographic index. Geological features (bedrock fractures) partly explained the residual pattern. Using an independent test catchment, it was shown that the index approach can be transferred to basins with similar physiographic characteristics for estimating the general pattern of saturated areas

Keywords

saturated area; mesoscale; spatial pattern; terrain index; pattern comparison

Published in

Water Resources Research
2004, Volume: 40, number: W05114, pages: 1-19
Publisher: AGU

SLU Authors

• Seibert, Jan

  • Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences
    

UKÄ Subject classification

Environmental Sciences related to Agriculture and Land-use
Fish and Aquacultural Science


Permanent link to this page (URI)

https://res.slu.se/id/publ/4930