Sensitivity analysis for hydrochemical models requires consideration of the
multivariate nature of watershed response. A robust multiobjective general
ized sensitivity analysis (MOGSA) procedure, recently developed at the Univ
ersity of Arizona, was used to fully investigate the single objective param
eter sensitivity of the Alpine Hydrochemical Model (AHM). A total of 20000
simulations for a two-year period were conducted for the Emerald Lake water
shed in Sequoia National Park, California. For each simulation 21 objective
functions were evaluated: they were discharge and both concentration and m
ass flux for ten chemical species. The MOGSA procedure revealed that only 2
000 simulations were necessary to establish the parameters sensitive to mas
s flux or concentration. We found significant differences in parameter sens
itivity for concentration versus mass flux objective functions. For example
, a snowpack elution parameter and a number of hydrologic parameters were s
ensitive for Cl- concentration, while only the snowpack elution parameter w
as sensitive for Cl- mass flux. By using mass flux instead of concentration
fewer mineral weathering parameters and more soil exchange parameters were
sensitive. Mass flux calculations emphasize the spring snowmelt and peak d
ischarge events of the early summer. Our results indicate that using mass i
nstead of concentration permits better identification of the model paramete
rs that most affect stream conditions during peak springtime flows and that
some combination of mass flux and concentration objectives should be used
in evaluating model performance. Copyright (C) 1999 John Wiley & Sons, Ltd.