Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content
The soil specific surface area (SSA) is an important variable for soil science and geoenvironmental engineering applications, but traditional measurement methods are difficult and time-consuming. Regression models or pedotransfer functions are often used to estimate SSA from other soil properties (e...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-10-01
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| Series: | Geoderma |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0016706123002914 |
| _version_ | 1797689600391512064 |
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| author | Fulai Yan Markus Tuller Lis W de Jonge Per Moldrup Emmanuel Arthur |
| author_facet | Fulai Yan Markus Tuller Lis W de Jonge Per Moldrup Emmanuel Arthur |
| author_sort | Fulai Yan |
| collection | DOAJ |
| description | The soil specific surface area (SSA) is an important variable for soil science and geoenvironmental engineering applications, but traditional measurement methods are difficult and time-consuming. Regression models or pedotransfer functions are often used to estimate SSA from other soil properties (e.g., clay content and cation exchange capacity), but these models do not consider the impact of clay mineralogy. Hygroscopic water content (wh) is intimately linked to these soil properties, which suggests that wh may be a better parameter for SSA estimation. This study (i) proposes regression models that estimate SSA from wh at different relative humidity values (5 to 90%) for kaolinite-rich samples (KA), illite-rich or mixed clay samples (IL/MC), montmorillonite-rich samples (ML), and a combination of all samples (ALL) and (ii) compares the performance of the wh models to other published models that comprise clay, silt and soil organic carbon contents and cation exchange capacity. We found that the sample-specific wh regression models accurately estimated SSA for KA, IL/MC and ML samples. For KA and IL/MC samples, the performance of the KA model (e.g., for adsorption, average RMSE = 10.5 m2/g) and IL/MC model (average RMSE = 21.3 m2/g) were better than the ALL-calibration model (KA: average RMSE = 18.7 m2/g; ML: average RMSE = 22.4 m2/g). For ML samples, similar model performance between the ML-calibration model (average RMSE = 41.4 m2/g) and the ALL-calibration model (average RMSE = 41.1 m2/g) was observed. In addition, the model performance of regression models based on wh was superior to models published in the literature that are based on clay, silt and soil organic carbon contents and cation exchange capacity. Overall, this study confirms that a single measure of wh can provide reliable estimates of the SSA while revealing a significant impact of clay mineralogy on model performance. |
| first_indexed | 2024-03-12T01:47:54Z |
| format | Article |
| id | doaj.art-f534271b4a4348b8b6db30f922716fec |
| institution | Directory Open Access Journal |
| issn | 1872-6259 |
| language | English |
| last_indexed | 2024-03-12T01:47:54Z |
| publishDate | 2023-10-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Geoderma |
| spelling | doaj.art-f534271b4a4348b8b6db30f922716fec2023-09-09T04:54:11ZengElsevierGeoderma1872-62592023-10-01438116614Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water contentFulai Yan0Markus Tuller1Lis W de Jonge2Per Moldrup3Emmanuel Arthur4Department of Agroecology, Aarhus University, Blichers Alle 20, DK-8830 Tjele, Denmark; Key Laboratory of Agricultural Soil and Water Engineering in Arid and Semiarid Areas of Ministry of Education, Northwest A&F University, Yangling 712100, ChinaDepartment of Environmental Science, The University of Arizona, 1177 E. 4th Street, Tucson, AZ 85721, USADepartment of Agroecology, Aarhus University, Blichers Alle 20, DK-8830 Tjele, DenmarkDepartment of the Built Environment, Aalborg University, Thomas Manns Vej 23, DK-9220, Aalborg, DenmarkDepartment of Agroecology, Aarhus University, Blichers Alle 20, DK-8830 Tjele, Denmark; Corresponding author.The soil specific surface area (SSA) is an important variable for soil science and geoenvironmental engineering applications, but traditional measurement methods are difficult and time-consuming. Regression models or pedotransfer functions are often used to estimate SSA from other soil properties (e.g., clay content and cation exchange capacity), but these models do not consider the impact of clay mineralogy. Hygroscopic water content (wh) is intimately linked to these soil properties, which suggests that wh may be a better parameter for SSA estimation. This study (i) proposes regression models that estimate SSA from wh at different relative humidity values (5 to 90%) for kaolinite-rich samples (KA), illite-rich or mixed clay samples (IL/MC), montmorillonite-rich samples (ML), and a combination of all samples (ALL) and (ii) compares the performance of the wh models to other published models that comprise clay, silt and soil organic carbon contents and cation exchange capacity. We found that the sample-specific wh regression models accurately estimated SSA for KA, IL/MC and ML samples. For KA and IL/MC samples, the performance of the KA model (e.g., for adsorption, average RMSE = 10.5 m2/g) and IL/MC model (average RMSE = 21.3 m2/g) were better than the ALL-calibration model (KA: average RMSE = 18.7 m2/g; ML: average RMSE = 22.4 m2/g). For ML samples, similar model performance between the ML-calibration model (average RMSE = 41.4 m2/g) and the ALL-calibration model (average RMSE = 41.1 m2/g) was observed. In addition, the model performance of regression models based on wh was superior to models published in the literature that are based on clay, silt and soil organic carbon contents and cation exchange capacity. Overall, this study confirms that a single measure of wh can provide reliable estimates of the SSA while revealing a significant impact of clay mineralogy on model performance.http://www.sciencedirect.com/science/article/pii/S0016706123002914Water sorption isothermsCation exchange capacityParticle-size distributionRegression models |
| spellingShingle | Fulai Yan Markus Tuller Lis W de Jonge Per Moldrup Emmanuel Arthur Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content Geoderma Water sorption isotherms Cation exchange capacity Particle-size distribution Regression models |
| title | Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| title_full | Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| title_fullStr | Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| title_full_unstemmed | Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| title_short | Specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| title_sort | specific surface area of soils with different clay mineralogy can be estimated from a single hygroscopic water content |
| topic | Water sorption isotherms Cation exchange capacity Particle-size distribution Regression models |
| url | http://www.sciencedirect.com/science/article/pii/S0016706123002914 |
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