Porosity change model for watered super absorbent polymer-treated soil |
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| Authors: | Yu Guo Han Pei Ling Yang Yuan Pei Luo Shu Mei Ren Li Xia Zhang Lei Xu |
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| Institution: | (1) College of Hydraulic and Civil Engineering, China Agricultural University, 17 Qinghua Donglu, Handian District, P. O. Box 57, 100083 Beijing, People’s Republic of China;(2) State Key Laboratory of Urban and Regional Ecology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, 100085 Beijing, People’s Republic of China;(3) The Chinese Academy of Agricultural Sciences, 100081 Beijing, People’s Republic of China;(4) Beijing Lecome Intellectual Property Agency Co., Ltd., 100098 Beijing, People’s Republic of China;(5) China Irrigation and Drainage Development Center, 100054 Beijing, People’s Republic of China; |
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| Abstract: | Drought is a great concern in agricultural production, because it restricts normal plant growth, brings about enormous economic
loss and deteriorates ecological environment. Proper use of super absorbent polymers (SAP) is helpful in the agricultural
and horticultural industry in arid and semi-arid areas, because SAP can ease the burden of water shortage. Because porosity
is one of the most important soil physical properties, it is a priority to study SAP to quantitatively express the swelling
of watered SAP-treated soil. This study was aimed to evaluate the bulk density curve of watered SAP-treated soil and to construct
and test the model for porosity change of watered SAP-treated soil. The results showed that the application of SAP can reduce
soil bulk density, improve soil permeability and cause soil swelling. In addition, using three factors, i.e., water content,
change in swelling ratio and SAP application rate, the paper constructed a model for porosity change of watered SAP-treated
soil, which is {ln(P
m − P)(P
m − P
0)−1]} βP
0
θ = −η
0
cθ − η
0
a. This is a generic model. Two soil samples, namely, loam and sandy loam, were used to calculate the parameters and test the
model. The results of the model were satisfying, thus this model is reliable. |
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| Keywords: | |
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