Sensitivity analysis and parameterization of two agricultural models in cauliflower crops
Aim of study: The development of a procedure to calibrate the LEACHM and EU-Rotate_N models for simulating water and nitrogen dynamics in cauliflower crops. Area of study: Calibration was performed using experimental data obtained from measurements in a cauliflower crop sited in Valencia (Spain) re...
| Autores principales: | , , , , , |
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| Formato: | article |
| Lenguaje: | Inglés |
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Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA)
2020
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| Acceso en línea: | http://hdl.handle.net/20.500.11939/6469 https://revistas.inia.es/index.php/sjar/article/view/15314 |
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| author | Lidón, Antonio Ginestar, Damian Carlos, Sofia Sánchez-De-Oleo, Carlos Jaramillo, Claudia Ramos, Carlos |
| author_browse | Carlos, Sofia Ginestar, Damian Jaramillo, Claudia Lidón, Antonio Ramos, Carlos Sánchez-De-Oleo, Carlos |
| author_facet | Lidón, Antonio Ginestar, Damian Carlos, Sofia Sánchez-De-Oleo, Carlos Jaramillo, Claudia Ramos, Carlos |
| author_sort | Lidón, Antonio |
| collection | ReDivia |
| description | Aim of study: The development of a procedure to calibrate the LEACHM and EU-Rotate_N models for simulating water and nitrogen dynamics in cauliflower crops.
Area of study: Calibration was performed using experimental data obtained from measurements in a cauliflower crop sited in Valencia (Spain) region.
Material and methods: A procedure based on generalized sensitivity indices for time-dependent outputs was used to determine the most influencing model parameters, in order to reduce the number of parameters to be calibrated and to avoid overparameterization. The most influencing parameters were introduced in an optimization process that uses the experimental measurements of soil water and nitrate content to determine its optimal value and obtain calibrated models.
Main results: After this analysis, the most important hydraulic parameters found were the coefficients of Campbell's equation for the LEACHM model and the soil water content at field capacity and drainage coefficient for the EU-Rotate N model. For the N cycle, the most influencing parameters were those related with the nitrification, humus mineralization rate and residue decomposition for both models. Both calibrated models provided good simulation of soil water content with an error between 5-7%. However, larger errors in soil-nitrate content simulation were found, mainly in the period corresponding to the crop residues incorporation. The prediction of the calibrated models in a different plot gave error values of about 7-9% for soil water content, but for soil nitrate content errors computed were 34% and 58%.
Research highlights: After calibration, both models can be used to optimize the farmer water management and fertilization practices in horticultural crops, although in the N case further studies should be performed. |
| format | article |
| id | ReDivia6469 |
| institution | Instituto Valenciano de Investigaciones Agrarias (IVIA) |
| language | Inglés |
| publishDate | 2020 |
| publishDateRange | 2020 |
| publishDateSort | 2020 |
| publisher | Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA) |
| publisherStr | Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA) |
| record_format | dspace |
| spelling | ReDivia64692025-04-25T14:47:11Z Sensitivity analysis and parameterization of two agricultural models in cauliflower crops Lidón, Antonio Ginestar, Damian Carlos, Sofia Sánchez-De-Oleo, Carlos Jaramillo, Claudia Ramos, Carlos Soil nitrogen Global sensitivity analysis Model calibration U10 Mathematical and statistical methods Soil water content Brassica oleracea Aim of study: The development of a procedure to calibrate the LEACHM and EU-Rotate_N models for simulating water and nitrogen dynamics in cauliflower crops. Area of study: Calibration was performed using experimental data obtained from measurements in a cauliflower crop sited in Valencia (Spain) region. Material and methods: A procedure based on generalized sensitivity indices for time-dependent outputs was used to determine the most influencing model parameters, in order to reduce the number of parameters to be calibrated and to avoid overparameterization. The most influencing parameters were introduced in an optimization process that uses the experimental measurements of soil water and nitrate content to determine its optimal value and obtain calibrated models. Main results: After this analysis, the most important hydraulic parameters found were the coefficients of Campbell's equation for the LEACHM model and the soil water content at field capacity and drainage coefficient for the EU-Rotate N model. For the N cycle, the most influencing parameters were those related with the nitrification, humus mineralization rate and residue decomposition for both models. Both calibrated models provided good simulation of soil water content with an error between 5-7%. However, larger errors in soil-nitrate content simulation were found, mainly in the period corresponding to the crop residues incorporation. The prediction of the calibrated models in a different plot gave error values of about 7-9% for soil water content, but for soil nitrate content errors computed were 34% and 58%. Research highlights: After calibration, both models can be used to optimize the farmer water management and fertilization practices in horticultural crops, although in the N case further studies should be performed. 2020-05-27T08:50:26Z 2020-05-27T08:50:26Z 2019 article publishedVersion Cerezuela, A. L. L., Peiró, D. G., Alberola, S. C., de Oleo, C. M. S., Jaramillo, C., & Mompó, C. R. (2019). Sensitivity analysis and parameterization of two agricultural models in cauliflower crops. Spanish journal of agricultural research, 17(4), e1106. 2171-9292 http://hdl.handle.net/20.500.11939/6469 10.5424/sjar/2019174-15314 https://revistas.inia.es/index.php/sjar/article/view/15314 en Atribución-NoComercial-SinDerivadas 3.0 España http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Instituto Nacional de Investigacion y Tecnologia Agraria y Alimentaria (INIA) electronico |
| spellingShingle | Soil nitrogen Global sensitivity analysis Model calibration U10 Mathematical and statistical methods Soil water content Brassica oleracea Lidón, Antonio Ginestar, Damian Carlos, Sofia Sánchez-De-Oleo, Carlos Jaramillo, Claudia Ramos, Carlos Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title | Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title_full | Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title_fullStr | Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title_full_unstemmed | Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title_short | Sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| title_sort | sensitivity analysis and parameterization of two agricultural models in cauliflower crops |
| topic | Soil nitrogen Global sensitivity analysis Model calibration U10 Mathematical and statistical methods Soil water content Brassica oleracea |
| url | http://hdl.handle.net/20.500.11939/6469 https://revistas.inia.es/index.php/sjar/article/view/15314 |
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