Journal
GEODERMA
Volume 360, Issue -, Pages -Publisher
ELSEVIER
DOI: 10.1016/j.geoderma.2019.114005
Keywords
Acidification; Lime requirement; Soil buffering capacity; Surface complexation model; Non-calcareous soil
Categories
Funding
- National Key Research and Development Program of China [2016YFD0800404]
- National Natural Science Foundation of China [41601240, 41571130052]
- Local Innovative and Research Teams Project of Guangdong Pearl River Talents Program [2017BT01Z176]
- Guangdong Special Support Plan for High-Level Talents
- Guangdong Academy of Sciences Project of Science and Technology Development [2017GDASCX-0106, 2018GDASCX-0501]
- Science and Technology Planning Project of Guangdong Province [2017B030314092]
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The soil acid-base buffering capacity (BC) of twelve non-calcareous soil samples was determined by titration. The results of the correlation analysis show that the soil cation exchange capacity (CEC), organic matter (OM), and amorphous Al compounds (Ox-Al) were mainly responsible for the acid-base buffering reactions in the pH range from 3 to 8. A surface complexation model (SCM) was applied to further evaluate the acid-base buffering properties of the soils by assuming the buffering system to be a protonation-deprotonation process. The point of zero charge (pH(pzc)) calculated from the model matched the pH(pzc) values obtained from the continuous potentiometric titrations (CPTs), indicating that it is feasible to apply a SCM to non-calcareous soils. Compared with the pH, the pH(pzc). obtained from the SCM was better correlated with the acid-base properties of the soils, indicating that the pH(pzc), could be used to evaluate the main buffering processes. The surface site concentration (H-s) calculated from the SCM was significantly correlated with the soil CEC and OM (P < 0.01). Moreover, the H-s had a stronger correlation with the lime buffering capacity (LBC) than the multivariate relationships with the soil CEC and OM, suggesting that the SCM-calculated H-s can be used as an effective indicator of the lime requirement (LR). Our findings demonstrated that it is feasible to use the surface complexation constants to quantitatively evaluate the acid-base buffering process and predict the potential lime requirements for acidic soils.
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