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<br />Flow-Depth Coefficient <br /> <br />Flows in vegetated channels do not always <br />result in total submergence of the vegetation. The <br />effect of flow on vegetation depends on the depth <br />of flow in relation to vegetation height (fig. 7). <br /> <br />The force required to layover vegetation is <br />inversely related to the length of the moment ann, <br />or, in the case of flow effects on the vegetation, the <br />depth of flow (fig. 8). This relation reinforces the <br />assumption that as flow depth increases, the ability <br />of vegetation to resist the effects of flow will <br />decrease (figs. 7-8). Dimensionless flow-depth <br />coefficients (Cdeplh; see equation 3) were <br />detennined for five different categories that are <br />defined by the ratio of hydraulic radius to <br />vegetation height (table 6). The hydraulic radius is <br />assumed to approximate mean-flow depth as well <br />as the approximate depth of flow at the immediate <br />location of the vegetation. <br /> <br />Table 6. Flow-depth coefficients <br /> <br />[<, less than; >, greater than] <br /> <br />Ratio of hydraulic radius <br />to average <br />vegetation height <br /><0.4 <br />0.4 to 0.6 <br />0.7 to 0.9 <br />1.0 to 1.5 <br />>1.5 <br /> <br />Flow-depth coefficient, <br />dimensionless <br /> <br />60 <br />20 <br />5 <br />3 <br />1 <br /> <br />Relation Between Stream Power and <br />Vegetation-Susceptibility Index <br /> <br />The vegetation-susceptibility indices (eq. 3) <br />were calculated, and the vegetation-susceptibility <br />index was plotted with the stream power for each <br />studied flow (table 7; fig. 9). If the vegetation- <br />susceptibility index is high and computed stream <br />power is low, the vegetation is not substantially <br />affected (fig. 9). As stream power increases, <br />however, the ability of the flow to layover <br />vegetation increases. A vegetation-susceptibility <br />threshold is represented by the line shown on <br />figure 9. The line is defined by the equation <br /> <br />SP = 2.054K0.231 <br />v <br /> <br />In general, for flows that plot above this line, the <br />vegetation can be expected to layover assuming <br />the characteristics of the vegetation and stream <br />power of the flow in question are within values <br />studied for this report. <br />Vegetation removal does not necessarily <br />depend on initial proneness of the vegetation. <br />Although the power of flow may not be of <br />sufficient magnitude to substantially layover the <br />vegetation, the flow may still be large enough to <br />degrade the channel substrate to the point that the <br />vegetation's root system is exposed and may result <br />in total removal of the vegetation. Data from flows <br />that removed the majority of the channel <br />vegetation, therefore, were not used for the relation <br />in figure 9. <br /> <br />Vegetation Removal <br /> <br />(4) <br /> <br />Vegetation removal or its complete destruction <br />primarily is dictated by the degree of channel-bed <br />and boundary degradation, which in turn is <br />influenced by the magnitude of the shearing forces <br />of flow. Depending on the size of bed material and <br />the size and type of vegetation, two distinct <br />mechanisms for vegetation removal were observed <br />in this investigation. The first mechanism <br />(vegetation scour) is the exposure of root systems <br />and removal of vegetation from transport of sand- <br />and gravel-sized bed material. The second <br />mechanism (vegetation obliteration) is the <br />movement of cobble- and boulder-sized material <br />onto the vegetation that results in the destruction of <br />brush and small trees (fig. 10). Although <br />obliteration occurred at several sites, degradation <br />of channel boundaries and actual scour of root <br />systems is considered the primary mechanism that <br />causes vegetation removal. <br />The primary components that require <br />quantification to evaluate the degree of vegetation <br />removal include (I) the mean size of the substrate <br />material, (2) the flow duration, and (3) the <br />estimated size and density of the vegetation-root <br />system. Mean size of the substrate material for <br />alluvial channels studied generally was detennined <br />by sieve analysis. For substrate material that was <br />too large to sieve, mean diameter was detennined <br />by measuring the intennediate axis of a <br />representative number of particles or estimated on <br /> <br />14 Method to Estimate Effects of Flow-Induced Vegetation Changes on Channel Conveyances of Streems In Central Arizona <br />