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<br />region (fig. 2). Consequently, both data sets <br />were split into regional data sets, and additional <br />multiple-regression analyses were performed <br />for two regions in Iowa. <br /> <br />The State was divided into two hydrologic <br />regions using information on areal trends of the <br />residuals for the statewide regression <br />equations, the Des Moines Lobe landform <br />region, and topography a3 guides. The <br />delineation of channel-geometry Regions I and <br />II is shown in figure 2. The topography of the <br />Des Moines Lobe landform region (Region II) is <br />characteristic of a young, postglacial landscape <br />that is unique with respect to the topography of <br />the rest of the State (Region Ii (Prior, 1991, <br />p. 30-47). The region genprally comprises <br />low-relief terrain, accentuated by natural lakes, <br />potholes, and marshes, where surface-water <br />drainage typically is poorly defined and <br />sluggish. The shaded area between hydrologic <br />Regions I and II (fig. 2) represents a transitional <br />zone where the channel morphology of one <br />region gradually merges into the other. This <br />regionalization process served to compensate for <br />the geographic bias observed in the statewide <br />residual plots, which was not accounted for <br />otherwise in the 111- and 157-station channel- <br />geometry regression equations listed in table 3. <br /> <br />Using the OLS and WLS multiple- <br />regression techniques previouE,ly described, two <br />sets of flood-estimation equations were <br />developed for each channel-geometry region. Of <br />the ll1-station data set, 78 stations were in <br />Region I and 33 stations were in Region II. Of <br />the 157-station data set, 120 stations were in <br />Region I and 37 stations were in Region II. <br />Gaging stations located within the regional <br />transition zone (fig. 21 were compiled into either <br />Region I or Region II data sets on the basis of <br />residuals from the statewide regression <br />equations and on the regional locations of their <br />stream channels. The best equations developed <br />in terms of PRESS statistics, coefficients of <br />detennination, and standard errors of estimate <br />for the Region I data sets are listed in table 4 <br />and the best equations developed for the Region <br />II data sets are listed in table I;. <br /> <br />The channel-geometry characteristic that <br />was identified as most significant in the Region <br />I 78-station bankfull equations was bankfull <br />width IBFW1. The characteri,;tic identified as <br /> <br />most significant in the Region I 120-station <br />active-channel equations was active-channel <br />width (ACW). The channel-geometry character- <br />istics that were identified as most significant in <br />the Region II 33-station bankfull equations were <br />bankfull width (BFW) and bankfull depth <br />(BFD), and the most significant characteristic in <br />the Region II 37 -station active-channel <br />equations was active-channel width (ACW). <br />Appendix C (at end of this report) outlines the <br />procedure for conducting channel-geometry <br />measurements of these characteristics. <br /> <br />Comparison of Regional and Statewide <br />Channel-Geometry Equations <br /> <br />Comparison of the Region I and II equations <br />with the statewide equations shows an <br />improvement in the average standard errors of <br />prediction for all of the regional equations <br />except the 25-, 50- and 100-year recurrence <br />intervals of the Region II active-channel <br />equations. The regional equations listed in <br />tables 4 and 5 may provide improved accuracies <br />for estimating design-flood discharges based on <br />channel-geometry measurements. The <br />statewide equations listed in table 3 also can be <br />used to estimate design-flood discharges, <br />although their accuracies may be less than for <br />the regional equations. Comparison of the <br />bankfull equations with the active-channel <br />equations listed in tables 3-5 shows an <br />improvement in the average standard errors of <br />prediction for all of the bankfull equations. The <br />bankfull equations may provide improved <br />estimation accuracies in comparison to active- <br />channel equations for estimating design-flood <br />discharges for channels unaffected by <br />channelization. <br /> <br />Bankfull depth (BFm was identified as a <br />significant channel-geometry characteristic in <br />the statewide bankfull equations (table 3). It is <br />also a significant channel-geometry character- <br />istic in the estimation of design-flood discharges <br />for stream sites located within the Des Moines <br />Lobe landform region (fig. 2, Region Ill. While <br />bankfull depth was not identified as significant <br />in estimating flood discharges in Region I, it <br />appears to be a significant morphologic feature <br />distinguishing stream channels in Regions I and <br />II. <br /> <br />24 ESTIMATING DESIGN.FLOOD DISCHARGES FOR STREAMS IN IOWA <br /> <br />~ <br />