Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment
Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization....
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ngo, Viet V. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2014 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer Science+Business Media Dordrecht 2014 |
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| Übergeordnetes Werk: |
Enthalten in: Transport in porous media - Springer Netherlands, 1986, 103(2014), 3 vom: 06. Mai, Seite 535-562 |
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| Übergeordnetes Werk: |
volume:103 ; year:2014 ; number:3 ; day:06 ; month:05 ; pages:535-562 |
| Links: |
|---|
| DOI / URN: |
10.1007/s11242-014-0315-6 |
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OLC2054388130 |
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| 520 | |a Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. | ||
| 650 | 4 | |a Estimability analysis | |
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| 650 | 4 | |a Hysteresis irrigation experiment | |
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| 700 | 1 | |a Badorreck, Annika |4 aut | |
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10.1007/s11242-014-0315-6 doi (DE-627)OLC2054388130 (DE-He213)s11242-014-0315-6-p DE-627 ger DE-627 rakwb eng 530 VZ Ngo, Viet V. verfasserin aut Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration Gerke, Horst H. aut Badorreck, Annika aut Enthalten in Transport in porous media Springer Netherlands, 1986 103(2014), 3 vom: 06. Mai, Seite 535-562 (DE-627)129206105 (DE-600)54858-3 (DE-576)014457431 0169-3913 nnns volume:103 year:2014 number:3 day:06 month:05 pages:535-562 https://doi.org/10.1007/s11242-014-0315-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 103 2014 3 06 05 535-562 |
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10.1007/s11242-014-0315-6 doi (DE-627)OLC2054388130 (DE-He213)s11242-014-0315-6-p DE-627 ger DE-627 rakwb eng 530 VZ Ngo, Viet V. verfasserin aut Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration Gerke, Horst H. aut Badorreck, Annika aut Enthalten in Transport in porous media Springer Netherlands, 1986 103(2014), 3 vom: 06. Mai, Seite 535-562 (DE-627)129206105 (DE-600)54858-3 (DE-576)014457431 0169-3913 nnns volume:103 year:2014 number:3 day:06 month:05 pages:535-562 https://doi.org/10.1007/s11242-014-0315-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 103 2014 3 06 05 535-562 |
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10.1007/s11242-014-0315-6 doi (DE-627)OLC2054388130 (DE-He213)s11242-014-0315-6-p DE-627 ger DE-627 rakwb eng 530 VZ Ngo, Viet V. verfasserin aut Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration Gerke, Horst H. aut Badorreck, Annika aut Enthalten in Transport in porous media Springer Netherlands, 1986 103(2014), 3 vom: 06. Mai, Seite 535-562 (DE-627)129206105 (DE-600)54858-3 (DE-576)014457431 0169-3913 nnns volume:103 year:2014 number:3 day:06 month:05 pages:535-562 https://doi.org/10.1007/s11242-014-0315-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 103 2014 3 06 05 535-562 |
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10.1007/s11242-014-0315-6 doi (DE-627)OLC2054388130 (DE-He213)s11242-014-0315-6-p DE-627 ger DE-627 rakwb eng 530 VZ Ngo, Viet V. verfasserin aut Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration Gerke, Horst H. aut Badorreck, Annika aut Enthalten in Transport in porous media Springer Netherlands, 1986 103(2014), 3 vom: 06. Mai, Seite 535-562 (DE-627)129206105 (DE-600)54858-3 (DE-576)014457431 0169-3913 nnns volume:103 year:2014 number:3 day:06 month:05 pages:535-562 https://doi.org/10.1007/s11242-014-0315-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 103 2014 3 06 05 535-562 |
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10.1007/s11242-014-0315-6 doi (DE-627)OLC2054388130 (DE-He213)s11242-014-0315-6-p DE-627 ger DE-627 rakwb eng 530 VZ Ngo, Viet V. verfasserin aut Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment 2014 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer Science+Business Media Dordrecht 2014 Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration Gerke, Horst H. aut Badorreck, Annika aut Enthalten in Transport in porous media Springer Netherlands, 1986 103(2014), 3 vom: 06. Mai, Seite 535-562 (DE-627)129206105 (DE-600)54858-3 (DE-576)014457431 0169-3913 nnns volume:103 year:2014 number:3 day:06 month:05 pages:535-562 https://doi.org/10.1007/s11242-014-0315-6 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-PHY GBV_ILN_70 AR 103 2014 3 06 05 535-562 |
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530 VZ Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment Estimability analysis Parameter correlation Optimization Hysteresis irrigation experiment Infiltration |
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ddc 530 misc Estimability analysis misc Parameter correlation misc Optimization misc Hysteresis irrigation experiment misc Infiltration |
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ddc 530 misc Estimability analysis misc Parameter correlation misc Optimization misc Hysteresis irrigation experiment misc Infiltration |
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Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment |
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Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment |
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Ngo, Viet V. |
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Transport in porous media |
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2014 |
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Ngo, Viet V. Gerke, Horst H. Badorreck, Annika |
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Ngo, Viet V. |
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10.1007/s11242-014-0315-6 |
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530 |
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estimability analysis for optimization of hysteretic soil hydraulic parameters using data of a field irrigation experiment |
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Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment |
| abstract |
Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. © Springer Science+Business Media Dordrecht 2014 |
| abstractGer |
Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. © Springer Science+Business Media Dordrecht 2014 |
| abstract_unstemmed |
Abstract To improve the quality of parameter optimization, estimability analysis has been proposed as the first step before inverse modeling. When using field data of irrigation experiments for the determination of soil hydraulic parameters, wetting and drying processes may complicate optimization. The objectives of this study were to compare estimability analysis and inverse optimization of the soil hydraulic parameters in the models with and without considering hysteresis of the soil water retention function. Soil water pressure head data of a field irrigation experiment were used. The one-dimensional vertical water movement in variably saturated soil was described with the Richards equation using the HYDRUS-1D code. Estimability of the unimodal van Genuchten–Mualem hydraulic model parameters as well as of the hysteretic parameter model of Parker and Lenhard was classified according to a sensitivity coefficient matrix. The matrix was obtained by sequentially calculating effects of initial parameter variations on changes in the simulated pressure head values. Optimization was carried out by means of the Levenberg-Marquardt method implemented in the HYDRUS-1D code. The parameters $$\alpha , K_{s}, \theta _{s}$$, and $$n$$ in the nonhysteretic model were found sensitive and parameter $$\theta _{s}$$ strongly correlated with parameter $$n$$. When assuming hysteresis, the estimability was decreased with soil depth for $$K_{s}$$ and $$\alpha ^{d}$$, and increased for $$\theta _{s}$$ and n. Among the shape parameters, $$\alpha ^{w}$$ was the most estimable. The hysteretic model could approximate the pressure heads in the soil by considering parameters from wetting and drying periods separately as initial estimates. The inverse optimization could be carried out more efficiently with most estimable parameters. Despite the remaining weaknesses of the local optimization algorithm and the inflexibility of the unimodal van Genuchten model, the results suggested that estimability analysis could be considered as a guidance to better define the optimization scenarios and then improved the determination of soil hydraulic parameters. © Springer Science+Business Media Dordrecht 2014 |
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Estimability Analysis for Optimization of Hysteretic Soil Hydraulic Parameters Using Data of a Field Irrigation Experiment |
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