Monitoring and Predicting Soil-Clay Content from Soil-Water Content in a Gravel-Mulched Field in Northwestern China
Publication: Journal of Hydrologic Engineering
Volume 22, Issue 12
Abstract
Particle-size distribution (PSD), especially clay content, is an important physical property of soil because of its large influence on soil hydrological characteristics, salinity, fertility, erodibility, nutrient content, swelling/shrinking, and degradation. The authors present a case study of soil PSD and its relationship with soil-water content (SWC) in a gravel-mulched field in an arid area of northwestern China using a statistical regression model and Pearson correlation coefficients. The SWC was correlated with clay content, and both increased with soil depth, with correlation coefficients ranging from 0.901 to 0.972. The regression analysis of clay content and SWC from various depths used the least-squares method, and the predictive accuracies of the regression models were evaluated with the data for measured clay content. Both the mean error and root mean square error were low and the prediction accuracy was high. The SWCs were significantly positively correlated between soil layers, with all correlation coefficients greater than 0.989, indicating that the SWC in a specific layer could be well estimated by the SWC in the adjacent subsoil. Clay content can thus be predicted from measured SWC, and can be further used to evaluate soil quality and productivity. This study also provides a theoretical reference for the prevention of salinization, the adjustment of land use and agricultural production, and the conservation of soil and water.
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Acknowledgments
This study was supported by National Natural Science Foundation of China (51269008), the Longyuan Youth Innovation and Entrepreneurship Project, and the HongLiu young teachers training program of Lanzhou University of Technology (Q201310).
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Published In
Journal of Hydrologic Engineering
Volume 22 • Issue 12 • December 2017
Copyright
©2017 American Society of Civil Engineers.
History
Received: Jan 9, 2017
Accepted: Jun 12, 2017
Published online: Oct 5, 2017
Published in print: Dec 1, 2017
Discussion open until: Mar 5, 2018
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