Page 126 - Geochemical Anomaly and Mineral Prospectivity Mapping in GIS
P. 126

Catchment Basin Analysis of Stream Sediment Anomalies                125















           Fig. 5-4. Spatial distributions of PC scores derived by PCA of rank-transformed dilution-corrected
           Cu and Zn residuals obtained from results of multiple regression analysis of the stream sediment
           Cu and Zn data (Table 5-III). (A) PC1 scores based on PCA of all samples. (B) PC2 scores based
           on PCA of a subset of samples with anomalous dilution-corrected residuals of either Cu or Zn.
           Polygons in black outlines in the maps are lithologic units (see Fig. 1-1).




           APPLICATION OF GIS IN CATCHMENT BASIN ANALYSIS
              A GIS supports implementation of catchment basin analysis of stream sediment
           anomalies in terms of (a) creating polygons representing sample catchment basins, (b)
           estimating areal proportions of lithologic units in  sample catchment basins, (c)
           estimating local background uni-element concentrations attributable to lithologic units,
           (d) correcting uni-element  residuals for  downstream dilution and (e) classifying
           geochemical anomalies based on dilution-corrected uni-element residuals.
           Creation of sample catchment basins

              Sample catchment basins may be hand-drawn or hand-digitised by tracing drainage
           divides on a map of sample points overlaid on a topographic map. The difficulty of this
           procedure lies in deciding the position of a catchment basin boundary laterally
           upstream/upslope away from a sample point. Alternatively, sample catchment basins
           may be created automatically using a digital elevation model (DEM), digitised streams
           and digitised sample points (Fig. 5-5).
              There are several ways by  which a DEM can be obtained. One way is to digitise
           elevation contours  on a topographic map and then perform interpolation  of elevation
           using digitised elevation contours. A DEM can also be created automatically from some
           air- or space-borne images (e.g., Baldi et al., 2002), such as stereo images of bands 3B
           and  3N of ASTER (Advanced Spaceborne Thermal Emission Reflection Radiometer)
           data (Hirano et al., 2003). The SRTM (Shuttle Radar Topography Mission) also provides
           ready-made DEMs (see http://www2.jpl.nasa.gov/srtm/). Whatever method is used, the
           spatial resolution of a DEM can be crucial  in generation of accurate stream sediment
           sample catchment basins.
   121   122   123   124   125   126   127   128   129   130   131