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标题：Combining visible near‐infrared spectroscopy and water vapor sorption for soil specific surface area estimation
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作者：Maria Knadel ; Lis Wollesen Jonge ; Markus Tuller 等
期刊名称：Vadose Zone Journal
电子版ISSN：1539-1663
出版年度：2020
卷号：19
期号：1
页码：1-12
DOI：10.1002/vzj2.20007
出版社：Soil Science Society of America, Inc.
摘要：The soil specific surface area (SSA) is a fundamental property governing a range of soil processes relevant to engineering, environmental, and agricultural applications. A method for SSA determination based on a combination of visible near‐infrared spectroscopy (vis‐NIRS) and vapor sorption isotherm measurements was proposed. Two models for water vapor sorption isotherms (WSIs) were used: the Tuller–Or (TO) and the Guggenheim–Anderson–de Boer (GAB) model. They were parameterized with sorption isotherm measurements and applied for SSA estimation for a wide range of soils ( N = 270) from 27 countries. The generated vis‐NIRS models were compared with models where the SSA was determined with the ethylene glycol monoethyl ether (EGME) method. Different regression techniques were tested and included partial least squares (PLS), support vector machines (SVM), and artificial neural networks (ANN). The effect of dataset subdivision based on EGME values on model performance was also tested. Successful calibration models for SSA TO and SSA GAB were generated and were nearly identical to that of SSA EGME . The performance of models was dependent on the range and variation in SSA values. However, the comparison using selected validation samples indicated no significant differences in the estimated SSA TO , SSA GAB , and SSA EGME , with an average standardized RMSE (SRMSE = RMSE/range) of 0.07, 0.06 and 0.07, respectively. Small differences among the regression techniques were found, yet SVM performed best. The results of this study indicate that the combination of vis‐NIRS with the WSI as a reference technique for vis‐NIRS models provides SSA estimations akin to the EGME method.
关键词：ANN; artificial neural network(s); BET; Brunauer–Emmet–Teller; EGME; ethylene glycol monoethyl ether; GAB; Guggenheim–Anderson–de Boer; PLS; partial least square(s); SOC; soil organic carbon; SRMSE; standardized root mean square error; SSA; soil specific surface area; SVM; support vector machine(s); TO; Tuller–Or; vis-NIRS; visible near-infrared spectroscopy; VSA; vapor sorption analyzer; WSI; water vapor sorption isotherm.