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Estimating cation exchange capacity from hygroscopic water content change.

Authors :
Chen, Chong
Arthur, Emmanuel
Zhou, Hu
Song, Xue
Shang, Jianying
Tuller, Markus
Source :
Soil Science Society of America Journal. Sep2024, p1. 9p. 6 Illustrations.
Publication Year :
2024

Abstract

The existing models for estimating cation exchange capacity (CEC) from easy‐to‐measure hygroscopic water content (<italic>θ</italic>h) were based on a single water activity (<italic>a</italic>w) value rather than on the processes that govern soil water vapor adsorption for a distinct <italic>a</italic>w range. Here, we present a new CEC estimation model based on <italic>θ</italic>h data of 119 soils with different clay mineralogy (i.e., illitic [IL], montmorillonitic [ML], and kaolinitic [KA] samples) and organic carbon (OC) contents for the <italic>a</italic>w range from 0.23 to 0.57 (Δ<italic>θ</italic>0.23–0.57) and validate its performance. Based on the hypothesis that multilayer adsorption exhibits a higher correlation with CEC than monolayer adsorption and capillary condensation, the <italic>a</italic>w range from 0.23 to 0.57 was chosen with CEC calculated as CEC = <italic>k</italic> × Δ<italic>θ</italic>0.23–0.57. The performance of the new model is compared to the Arthur (2017) model and the Torrent (2015) model, which considers a single <italic>θ</italic>h value. The average proportionality coefficient (<italic>k</italic>) varied with the dominant clay mineralogy of the investigated soils. For soils dominated by 2:1 clay minerals (i.e., IL and ML), the new model showed a good estimation accuracy (Nash‐Sutcliffe model efficiency [<italic>E</italic>] ≥ 0.85; root mean squared error [RMSE] ≤ 4.18 cmol(+) kg−1). The new model performed better for IL and ML samples than for KA samples, and yielded more accurate CEC estimations than the Arthur model and Torrent model for soils with 2:1 clay minerals. For soil with high OC content (>23.2 g kg−1), the new model slightly underestimated CEC (<italic>E</italic> = 0.66; RMSE = 5.87). [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03615995
Database :
Academic Search Index
Journal :
Soil Science Society of America Journal
Publication Type :
Academic Journal
Accession number :
179732349
Full Text :
https://doi.org/10.1002/saj2.20764