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Assessment of Spatial Variation of Cesium-137 in Small Catchments

Marcel van der Perk*,a, Ondrej Slávikb and Emil Fulajtárb

a Utrecht Centre for Environment and Landscape Dynamics (UCEL), Faculty of Geographical Sciences, Utrecht University, P.O. Box 80115, 2508 TC Utrecht, the Netherlands
b Soil Fertility Research Institute, Gagarinova 10, 82713 Bratislava, Slovakia



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Fig. 1. The Mochovce catchment with 137Cs sample locations (shown as open circles with black dots; the location of the sectioned core from the marshland is indicated by •). The contour interval is 10 m and forested areas are shaded in gray. The part of the catchment for which the digital elevation model (DEM) derivatives were calculated is indicated by a dashed line.

 


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Fig. 2. Histogram of the 137Cs activity values for the sample grid (N = 77).

 


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Fig. 3. Cesium-137 depth distribution of a sectioned core from the marshland in the central part of the Mochovce catchment (see Fig. 1 for location). The total 137Cs activity amounts to 16576 Bq m-2.

 


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Fig. 4. Predicted pattern of relative sediment budget index. Areas in which soil erosion occurs have a negative (-) sign and area in which deposition occurs have a positive (+) sign.

 


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Fig. 5. (a) Scatter diagram for 137Cs activity values (Cs-137), sediment budget index (Dr), the logtransformed sediment budget index , slope, slope length (Sll), upstream area (Ups), profile curvature (Prc), and planar curvature (Plc); (b) 137Cs activity values against DLr without outliers; (c) 137Cs activity values against Prc without outliers.

 


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Fig. 6. Cesium-137 activity in soil predicted with regression Eq. [3].

 


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Fig. 7. Semivariogram of the residuals of the regression model (Eq. [3]).

 


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Fig. 8. Interpolation results. (a) Estimated 137Cs activity and (b) kriging standard deviation (Bq m-2). White spots indicate sampling locations.

 


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Fig. 9. Difference between 137Cs predicted by universal kriging (Fig. 8a) and by the regression model (Fig. 6). Positive values mean an underprediction by the regression model.

 





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