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<br />6 <br /> <br /> <br />horizon. (Since these characteristics are based on arid desert environments, desert varnish, desert <br />pavement, and calcic horizon may not apply to non-desert and coastal environments.) The <br />degree of development of each of these characteristics is indicative of the relative age of the <br />alluvial fan. That is, geologically young (less than 10,000 to 15,000 years old) fans show none to <br />weak development, while intermediate (10,000 to 700,000 years old) and old (greater than <br />500,000 years old) fans have progressively stronger development of these characteristics, <br /> <br />Step 3. Apply Methods to Define the Flooding Classification on the Alluvial Fan. Step 3 is <br />the utilization of appropriate methods to predict the flooding hazard on alluvial fans; and, to <br />classify alluvial fans based on the nature of flooding potential with consideration of existing and <br />any future development in the areas. A detailed theoretical analysis of alluvial fan flooding is <br />not the intent of this study. However, a general discussion of methods that can be used to define <br />the flood hazards is appropriate. Conceptually, there are three categories of alluvial fan flooding: <br />(1) clear water flows that can be analyzed using traditional hydraulic methods, (2) hyper- <br />concentrated sediment flows that can be analyzed by sediment transport theory, and (3) debris <br />flows that can be analyzed by various empirical methods such as the bulking factor, the Bingham <br />models, and other methods. The choice of methods is directly related to the type of fan to be <br />evaluated. <br /> <br />Inactive Alluvial Fans. For inactive fans where flow paths and flood boundaries are <br />stable and predictable, traditional engineering models are mainly used to compute water-surface <br />profiles and define the 100-year flood. An inactive fan with flooding is typically considered as <br />riverine flooding. <br /> <br />Traditional Models. Two engineering models that can be used to define the flood hazard <br />on inactive, stable fans are HEC-HMS and HEC-RAS, HEC-HMS is a hydrologic modeling <br />system capable of simulating rainfall/runoff modeling, The model can be used to predict flood <br />flow data at the fan apex to determine the 10-, 50-, 100- and 500-year peak flows if streamflow <br />records are not available. HEC-RAS is a hydraulic modeling system which uses peak flow data <br />and channel cross sections to delineate stable distributary channels of a river system. The model <br />can handle a full network of channels, a dentritic (tree-like) system, or a single river reach. <br />However, the disadvantage of this model is that the assumptions of channel stability, friction, <br />flow distributions and losses, and flow-path locations may be severely limited. Backwater <br />models by USGS or NRCS can also be used for inactive alluvial fans. A hydrodynamic model <br />such as FLO-2D can also be used for some areas on inactive fans. <br /> <br />Active Alluvial Fans. For active fan areas where flow paths are unstable and <br />unpredictable, the flood hazard is assessed using geomorphic evidence and possibly <br />supplemented with engineering modeling, Since the frequency and extent of flooding on active <br />fans cannot be determined exactly, the status of existing or planned development in the area is <br />also a major factor for consideration in Step 3 for active fans. <br /> <br />Geomorphic Evidence. Using geomorphic evidence is preferred for active alluvial fan <br />areas where there are changes in channel conditions during flooding. This method uses channel <br />shape, surface geology, soil development, and geomorphology to define the flood hazard on an <br />alluvial fan. The types and sources of information are the same as used in Steps I and 2; that is, <br />