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Inverse Estimation of Parameters in a Nitrogen Model Using Field Data

Swiss Federal Institute of Technology, Dep. of Soil Protection, Grabenstrasse 3, 8952 Schlieren, Switzerland

View larger version (22K): [in a new window]   Fig. 1 LEACHN C and N flowchart

View larger version (17K): [in a new window]   Fig. 2 Simulations based on the conditioned parameter distribution concept vs. the best-fit parameters. Best-fit parameters produce simulations which usually miss most of the measurements, that is, curve d. Whereas conditioned parameter distributions produce simulations that respect most of the measurements, that is, curves c

View larger version (32K): [in a new window]   Fig. 3 Measured data from August 1995 to December 1996. (a) Field management data. (b) Mean daily temperature. (c) Water fluxes: daily precipitation, cumulative precipitation, and evapotranspiration. (d) Groundwater table measured as distance below surface

View larger version (36K): [in a new window]   Fig. 4 LEACHW calibration (March 1996–December 1996). Simulation of pressure head with conditional hydraulic and plant parameters showing the 95% confidence interval of the Bayesian distribution for the pressure head (curves). Symbols represent the measured data ± one standard deviation

View larger version (30K): [in a new window]   Fig. 5 LEACHW validation (August 1995–March 1996). Simulation of pressure head with conditional hydraulic and plant parameters determined based on observations of March 1996–December 1996 time period. Curves are the 95% confidence interval of the Bayesian distribution of the simulated pressure heads. Symbols represent the measurements ± one standard deviation

View larger version (24K): [in a new window]   Fig. 6 LEACHN calibration (March 1996–December 1996). Simulations of NO3 concentrations are based on the fitted parameters for Scenarios S1, S2, and S3. Symbols represent the measurements ± one standard deviation

View larger version (27K): [in a new window]   Fig. 7 Simulations of NO3 using the conditional parameters in Table 4 for scenarios S1 and S2. Symbols represent the measurements ± one standard deviation

View larger version (20K): [in a new window]   Fig. 8 Simulation of plant N uptake using parameters in scenarios S3 and S4. Measurements of the plant total N pool are mean values ± one standard deviation. Simulation results are represented as the 95% confidential interval of the Bayesian distribution for plant uptake

View larger version (24K): [in a new window]   Fig. 9 Sensitivity analysis for scenario S4 showing the six most sensitive parameters. For abbreviations see Appendix 2