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Titel Factors affecting the spatial patterns of soil infiltration capacity at the hillslope scale
VerfasserIn Winnie Seifert, Anna Coles, Willemijn Appels, Luisa Hopp, Jeffrey McDonnell
Konferenz EGU General Assembly 2014
Medientyp Artikel
Sprache Englisch
Digitales Dokument PDF
Erschienen In: GRA - Volume 16 (2014)
Datensatznummer 250096335
Publikation (Nr.) Volltext-Dokument vorhandenEGU/EGU2014-11833.pdf
 
Zusammenfassung
The quantification of soil infiltration capacity (Ic) and its relation to soil properties have been the subject of many studies in the past decades. However, the controls on the spatial organization of infiltration capacity in the landscape are still poorly understood. A better understanding of the patterns of Ic is important since these patterns govern runoff generation and possible threshold runoff responses in low-angled terrain prone to overland flow. In this study we present spatial patterns of Ic on a 5 ha low-angled agricultural field in Southern Saskatchewan and explore above- and below-ground controls. The study site is located in the semi-arid region of western Canada with a mean annual precipitation of 350 mm. Runoff on these loess soils (Brown Chernozems) is mainly generated during spring snowmelt and occurs as infiltration-excess overland flow over frozen ground. Hillslopes in that region typically have a slope of 1-4%. Infiltration capacity was measured on the 5 ha field in late summer 2013 at 63 randomly distributed locations, using a single ring infiltrometer (Cornell Sprinkle Infiltrometer). Geostatistical analyses were carried out to explore the spatial organization of Ic. Soil depth was measured at 17 locations across the field, the roughness of the soil surface was described for each Ic measuring location and the microtopography on a 456 cm2 area was determined at 60 locations. Hillslope-scale topographic controls will be examined by correlating terrain indices with the Ic pattern. Furthermore, three dye tracer experiments with Brilliant Blue were carried out at a low, medium and high Ic spot to investigate the question if local scale macroporosity can explain the spatial distribution of Ic. Infiltration capacities range from 0 to 79.4 mm h-1 with a median of 11.7 mm h-1 and show no significant correlation with surface roughness, microtopography or soil depth. However, first geostatistical analyses suggest that there is a spatial organization of the Ic pattern. A spherical variogram with a range of 102 m provides the best fit and was used for the ordinary kriging to generate a map of Ic for the agricultural field. The limited data volume and the erratic shape of the experimental variogram hold a high degree of uncertainty that will be examined in detail by further analysis. Confidence intervals for the variogram will be obtained by Monte Carlo methods. Next steps will be to compute various terrain indices from a detailed digital elevation model of the field and test their control on the Ic pattern and to analyze the influence of local scale macroporosity.