Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function
Knowledge of the cation exchange capacity (CEC) for soils or other porous media is very important for civil engineering and agricultural applications. However, the standard laboratory methods to measure CEC are costly and laborious. The aim of this research was to develop a visible–near-infrared spe...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2019-06-01
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| Series: | Vadose Zone Journal |
| Online Access: | https://dl.sciencesocieties.org/publications/vzj/articles/18/1/180192 |
| _version_ | 1818306929873649664 |
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| author | Hafeez Ur Rehman Maria Knadel Lis W. de Jonge Per Moldrup Mogens H. Greve Emmanuel Arthur |
| author_facet | Hafeez Ur Rehman Maria Knadel Lis W. de Jonge Per Moldrup Mogens H. Greve Emmanuel Arthur |
| author_sort | Hafeez Ur Rehman |
| collection | DOAJ |
| description | Knowledge of the cation exchange capacity (CEC) for soils or other porous media is very important for civil engineering and agricultural applications. However, the standard laboratory methods to measure CEC are costly and laborious. The aim of this research was to develop a visible–near-infrared spectroscopy (Vis–NIRS, 400–2500 nm) calibration model to predict CEC based on multivariate analysis and to compare the predictive ability of Vis–NIRS with that of a pedotransfer function (PTF). For this purpose, reference CEC was measured by the ammonium acetate method for 235 soil samples, collected from 21 countries. Diffuse spectral reflectance data were also collected by using a NIRSTM DS2500 spectrometer. The model was constructed on a calibration subset (80%) and evaluated with a validation subset (20%) using partial least squares regression. The Vis–NIRS calibration model was sufficiently robust based on the cross-validation results [ = 0.79, RMSE of cross-validation values of 7.9 cmol kg and bias = −0.14]. The independent validation of the Vis–NIRS model showed good prediction accuracy, regardless of sample origin (RMSE of prediction value of 5.0 cmol kg and ratio of performance to interquartile distance value of 4.5). Moreover, the Vis–NIRS prediction performance was superior to that of the PTF, which was influenced by the sample origin (RMSE values of 11.5 cmol kg). The better prediction of CEC by the Vis–NIRS calibration model suggests that it is due to the co-variation of CEC with clay (type and content) and organic C content. |
| first_indexed | 2024-12-13T06:50:18Z |
| format | Article |
| id | doaj.art-ac41ce48d8dd487f9de59ed48f1284b7 |
| institution | Directory Open Access Journal |
| issn | 1539-1663 |
| language | English |
| last_indexed | 2024-12-13T06:50:18Z |
| publishDate | 2019-06-01 |
| publisher | Wiley |
| record_format | Article |
| series | Vadose Zone Journal |
| spelling | doaj.art-ac41ce48d8dd487f9de59ed48f1284b72022-12-21T23:56:09ZengWileyVadose Zone Journal1539-16632019-06-0118110.2136/vzj2018.10.0192Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer FunctionHafeez Ur RehmanMaria KnadelLis W. de JongePer MoldrupMogens H. GreveEmmanuel ArthurKnowledge of the cation exchange capacity (CEC) for soils or other porous media is very important for civil engineering and agricultural applications. However, the standard laboratory methods to measure CEC are costly and laborious. The aim of this research was to develop a visible–near-infrared spectroscopy (Vis–NIRS, 400–2500 nm) calibration model to predict CEC based on multivariate analysis and to compare the predictive ability of Vis–NIRS with that of a pedotransfer function (PTF). For this purpose, reference CEC was measured by the ammonium acetate method for 235 soil samples, collected from 21 countries. Diffuse spectral reflectance data were also collected by using a NIRSTM DS2500 spectrometer. The model was constructed on a calibration subset (80%) and evaluated with a validation subset (20%) using partial least squares regression. The Vis–NIRS calibration model was sufficiently robust based on the cross-validation results [ = 0.79, RMSE of cross-validation values of 7.9 cmol kg and bias = −0.14]. The independent validation of the Vis–NIRS model showed good prediction accuracy, regardless of sample origin (RMSE of prediction value of 5.0 cmol kg and ratio of performance to interquartile distance value of 4.5). Moreover, the Vis–NIRS prediction performance was superior to that of the PTF, which was influenced by the sample origin (RMSE values of 11.5 cmol kg). The better prediction of CEC by the Vis–NIRS calibration model suggests that it is due to the co-variation of CEC with clay (type and content) and organic C content.https://dl.sciencesocieties.org/publications/vzj/articles/18/1/180192 |
| spellingShingle | Hafeez Ur Rehman Maria Knadel Lis W. de Jonge Per Moldrup Mogens H. Greve Emmanuel Arthur Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function Vadose Zone Journal |
| title | Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function |
| title_full | Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function |
| title_fullStr | Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function |
| title_full_unstemmed | Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function |
| title_short | Comparison of Cation Exchange Capacity Estimated from Vis–NIR Spectral Reflectance Data and a Pedotransfer Function |
| title_sort | comparison of cation exchange capacity estimated from vis nir spectral reflectance data and a pedotransfer function |
| url | https://dl.sciencesocieties.org/publications/vzj/articles/18/1/180192 |
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