In NetMap, statistical regressions are used to predict bankfull channel width. Active channel width is modeled as a power function of mean annual flow, drainage area and or precipitation; see Leopold and Maddock 1953 and Clarke et al. 2008. Channel bankfull width is used in numerous applications in NetMap, including in the prediction of fish habitats.
Figure 1. Users have the option of customizing the prediction of channel width, depth, and mean annual flow (1 - 3), although the form of the regression equations must follow the specified formats. An analyst inserts their own custom regressions using the equation forms provided (4). If attributes are modified, there may be parameters that need to be recalculated, some automatially and others needing to be done manually by the user; for example, fish habitat intrinsic potential will be effected. A citation can be added (5). And results can be displayed (6). Defaults can also be restored.
Precipitation data are obtained from PRISM (http://prism.oregonstate.edu); also refer also to Lorensen et al. (1994) and Clarke et al. (2008).
Figure 2. Channel width is important for interpreting channel types, valley confinement index (i.e., valley width/channel width) and fish habitat potential. It is estimated in NetMap using empirical relationships between channel hydraulic geometry and flow discharge and/or average annual precipitation.
