Mass spectrometry in combination with tracer experiments based on 13 C substrates can serve as a powerful tool for the modeling and analysis of intracellular fluxes and the investigation of biochemical networks. The theoretical background for the application of mass spectrometry to metabolic flux an
Sensitivity analysis using mass flux and concentration
โ Scribed by Thomas Meixner; Hoshin V. Gupta; Luis A. Bastidas; Roger C. Bales
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 229 KB
- Volume
- 13
- Category
- Article
- ISSN
- 0885-6087
No coin nor oath required. For personal study only.
โฆ Synopsis
Sensitivity analysis for hydrochemical models requires consideration of the multivariate nature of watershed response. A robust multiobjective generalized sensitivity analysis (MOGSA) procedure, recently developed at the University of Arizona, was used to fully investigate the single objective parameter sensitivity of the Alpine Hydrochemical Model (AHM). A total of 20000 simulations for a two-year period were conducted for the Emerald Lake watershed in Sequoia National Park, California. For each simulation 21 objective functions were evaluated: they were discharge and both concentration and mass ยฏux for ten chemical species. The MOGSA procedure revealed that only 2000 simulations were necessary to establish the parameters sensitive to mass ยฏux or concentration. We found signiยฎcant dierences in parameter sensitivity for concentration versus mass ยฏux objective functions. For example, a snowpack elution parameter and a number of hydrologic parameters were sensitive for Cl ร concentration, while only the snowpack elution parameter was sensitive for Cl ร mass ยฏux. By using mass ยฏux instead of concentration fewer mineral weathering parameters and more soil exchange parameters were sensitive. Mass ยฏux calculations emphasize the spring snowmelt and peak discharge events of the early summer. Our results indicate that using mass instead of concentration permits better identiยฎcation of the model parameters that most aect stream conditions during peak springtime ยฏows and that some combination of mass ยฏux and concentration objectives should be used in evaluating model performance.
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