Table of Contents
Peakflow Responses to Forest Practices
in Oregon, USA - a Modelling Approach
Peak flow responses to clear cutting
and roads?
Paired watershed approach
Modelling approach to quantify land-use-change
effects
Simulation vs. observation
Simulation vs. simulation
The HBV model
Model application
Model residuals
Summary of simulation-comparison for
watershed 1
Summary of simulation-comparison for watershed
2
Lookout Creek
Summary of simulation-comparison for Lookout
Creek
Conclusions
Consistent data?
Simulation of 1996-flood in watershed
1
Largest events in watershed 1
Model approaches
Model-approach rollercoaster
Model parameter values
Model parameter values
Model approaches
|
Authors: Jeff McDonnell and Jan Seibert (Oregon State University
Dept. of Forest Engineering) and Julia Jones (Oregon State University Dept.
of Geosciences)
Home Page: http://www.cof.orst.edu/cof/fe/watershd/
Abstract
The issue of peakflow responses to clear-cutting
and forest-road building is a highly charged issue in the western Cascades of
Oregon, USA. To date, the effects of forest practices on streamflow response
has mostly been studied using paired-catchment approaches. This paper presents
model approaches as an alternative to paired-catchment methods. Model
approaches are of particular interest for evaluating land-use-change effects in
larger catchments, for which a suitable control catchment might not exist. The
Swedish HBV model was used for the study of peak flow changes in hopes of
contributing positively to the dialogue about peakflow response to land-use
change. These effects were analyzed in different ways: a) Calibration for a
period before (or after) change and simulation of runoff, which would have been
observed without land-use change (reconstruction of runoff series), b)
Comparison of calibrated parameter values for periods before and after a
land-use change, and c) Comparison of runoff predicted with parameter sets
calibrated for periods before and after a land-use change. While the first
method was seemingly straightforward, we found that it is impeded by parameter
uncertainty and problems of parameter identifiability. Since the model was not
perfect for the pre-change conditions, it also had to be acknowledged that
deviations between observed runoff and simulated runoff (=runoff with unchanged
conditions) could be caused by both the land-use change and model inaccuracies.
Monte Carlo techniques were used to address the problem of parameter
uncertainty and to allow the computation of confidence intervals in model
results and parameter ranges. We compared these different methods in the
context of peakflow response to forest practices in the western Cascades for
three 1-km2 catchments in the HJ Andrews Experimental Forest (watersheds 1 to
3) and two 100-km2 watersheds (Lookout and Blue River).
|