Soil Water Simulation and Predication Using Stochastic Models Based on LS-SVM for Red Soil Region of China

2011 ◽  
Vol 25 (11) ◽  
pp. 2823-2836 ◽  
Author(s):  
Jianqiang Deng ◽  
Xiaomin Chen ◽  
Zhenjie Du ◽  
Yong Zhang
1985 ◽  
Vol 49 (5) ◽  
pp. 1238-1244 ◽  
Author(s):  
J. H. M. Wösten ◽  
J. Bouma ◽  
G. H. Stoffelsen

2013 ◽  
Vol 284-287 ◽  
pp. 287-290
Author(s):  
Jie Lun Chiang ◽  
Shih Hao Jien

To provide a simple and fast alternative in measuring soil water content (SWC), a spectrometer was used to detect SWC because of different soil water contents, leading to different reflectance spectrums. Two commonly seen soil types in Taiwan are red soil and younger alluvial soil, which were used as test materials in this study. Fifty red soil samples and 50 younger alluvial soil samples were used as testing samples for comparative study. The root mean square error of SWC estimation of red soil and younger alluvial soil is 3.65 and 7.26, respectively. The results show that the estimation accuracy of red soil is higher than that of younger alluvial soil. The estimation error is random for red soil, and decreases exponentially for younger alluvial soil. Spectrometers have the potential to detect soil water content, especially in red soil. After full development of this technology, remote sensing will be applied to detect soil water content or even water-induced landslides.


Author(s):  
Liting Zhang ◽  
Shujun Sun ◽  
Mengqi Lin ◽  
Kaijun Feng ◽  
Yue Zhang ◽  
...  

The water content is a crucial factor in evaluating the causes of Benggang collapse. The soil–water characteristic curve (SWCC) is an important parameter for the quantitative study of soil water content. However, limited research has been carried out on the SWCCs of the Benggang soil profile. We studied two typical collapsing gullies in southeast China and conducted desorption experiments using a pressure plate extractor to analyze the SWCCs of the undisturbed soils of collapsing walls. The results show large variations in the SWCCs for different soil horizons of a collapsing wall that can be accurately fitted by the van Genuchten (VG) model (NSE≥0.90). With increasing soil depth, the a and θs parameters of the VG model first decrease and then increase, red soil layer had the highest a and θs (the average value of 0.046 and 0.369, respectively), whereas the n parameter of the VG model exhibits the opposite trend, sand soil layer had the highest n (the average value of 1.563). The θr parameter of the VG model decreases with increasing soil depth, red soil layer had the highest θr (the average value of 0.194). The red soil layer has the highest water-holding capacity, whereas the sandy soil and detritus layers have lower water-holding capacities. The SWCCs are related to the soil material composition, particle composition and porosity. The gravel content and the particle morphology (the aspect ratio, sphericity, and specific surface area) are also the significant influence factors for the SWCC that cannot be neglected. The difference among the SWCCs for the soil profiles of collapsing walls can be used to explain the mechanism for the collapse of collapsing wall. The results of this study provide a theoretical basis for understanding the process of the collapse of collapsing wall in Benggang in southeast China.


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