Factors In Predicting Alluvial Gravel Composition Using Digital Geologic Map And Elevation Images: An Example From The Colorado Front Range

Estimating the lithologic composition of gravel deposits for aggregate quality using standard field and laboratory techniques is costly and time-consuming. As an alternative, digital geologic maps and elevation models may provide a means for predicting the lithologic composition of channel and terrace deposits. Digital geologic maps can be used to evaluate the distribution of map units: their geomorphic setting, and the physical properties of the gravel source. To test this concept, the lithologies and topography of the upper drainage basin of the Big Thompson River along the Colorado Front Range were used to examine various factors that may control the final lithologic composition of channel and terrace gravels downstream. The simplest factor is the area of each of the map units in the upper drainage basin area, which can be easily measured from the digital geologic map. The percentage of each map unit within the total area provides a estimate of the pro- portions of each map unit that might be expected to occur in the downstream gravels. Published estimates of the hardness and durability of each map unit were used to calculate physical property-weighted areas; these areas are an estimate of the potential of each unit to be eroded and transported as gravel-sized particles. The areas of each map unit at 1-kilometer intervals from the drainage basin exit point were used to calculate a distance-weighted area for each map unit. For this study, a simple inverse relationship (area/distance) was used for distance weighting, but a more complicated distance function may ultimately be required. The topographic setting of exposed rock units should exert a significant influence on whether material will move slowly or rapidly through the drainage system. Two topographic factors were examined: gradient and slope. A simple gradient between map unit occurrences and the exit point of the drainage basin was used to calculate a gradient-weighted area estimate for each map unit. The slope-weighted area estimate uses the slope steepness (in degrees) in the immediate vicinity of each map unit occurrence as a measure of the tendency of material to begin moving into the sediment transport system. The primary intent of this study was to test the concept of using digital geologic map and elevation images to estimate gravel composition, rather than actually producing a useful analysis of a drainage basin. Each of the controlling factors was examined independently to gain an understanding of the magnitude of the effect of each factor. Ultimately, a comprehensive predictive model will be constructed using a combination of the various controlling factors.