scholarly journals Fractal Characteristics of Soil Retention Curve and Particle Size Distribution with Different Vegetation Types in Mountain Areas of Northern China

2015 ◽  
Vol 12 (12) ◽  
pp. 15379-15389
Author(s):  
Xiang Niu ◽  
Peng Gao ◽  
Bing Wang ◽  
Yu Liu
2018 ◽  
Vol 60 (2) ◽  
pp. 202-208 ◽  
Author(s):  
Hao Yan ◽  
Jixiong Zhang ◽  
Jiaqi Wang ◽  
Nan Zhou ◽  
Sheng Zhang

2020 ◽  
Author(s):  
Joseph Pollacco ◽  
Jesús Fernández-Gálvez ◽  
Sam Carrick

<p>Indirect methods for estimating soil hydraulic properties from particle size distribution have been developed due to the difficulty in accurately determining soil hydraulic properties, and the fact that particle size distribution is one piece of basic soil physical information normally available. The similarity of the functions describing the cumulative distribution of particle size and pore size in the soil has been the basis for relating particle size distribution and the water retention function in the soil. Empirical and semi-physical models have been proposed, but these are based on strong assumptions that are not always valid. For example, soil particles are normally assumed to be spherical, with constant density regardless of their size; and the soil pore space has been described by an assembly of capillary tubes, or the pore space in the soil matrix is assumed to be arranged in a similar way regardless of particle size. However, in a natural soil the geometry of the pores may vary with the size of the particles, leading to a variable relation between particle radius and pore radius.</p><p> </p><p>The current work is based on the hypothesis that the geometry of the pore size and the void ratio depends on the size of the soil particles, and that a physically based model can be generalised to predict the water retention curve from particle size distribution. The rearrangement of the soil particles is considered by introducing a mixing function that modulates the cumulative particle size distribution, while the total porosity is constrained by the saturated water content.</p><p> </p><p>The model performance is evaluated by comparing the soil water retention curve derived from laboratory measurements with a mean Nash–Sutcliffe model efficiency a value of 0.92 and a standard deviation of 0.08. The model is valid for all soil types, not just those with a marginal clay fraction.</p>


2014 ◽  
Vol 75 (3) ◽  
pp. 253-262
Author(s):  
Jarosław Lasota ◽  
Ewa Błońska ◽  
Maciej Zwydak ◽  
Tomasz Wanic

Abstract The physical and chemical properties of soil are the basic features that are used in the assessment of mountain sites. The aim of this study was to produce a simple key for classifying forest sites in mountain areas using soil particle size distribution. 200 plots (standard typological space) were selected for examination, most of which are typical of the Carpathians - being dominated by flysch rock. A few plots were located in the Sudety and Tatra Mountains, which have a different surface geology, mostly metamorphic rock and granite. The study proved that soil properties (reaction, base saturation, content of base cations, organic carbon and nitrogen) are helpful in distinguishing and assigning soils to particular site types. The particle size distribution of forest mountain sites separated into different categories in terms of productivity. These results can be used to improve the classification of forest mountain sites.


2013 ◽  
Vol 33 (21) ◽  
pp. 7013-7022 ◽  
Author(s):  
夏江宝 XIA Jiangbao ◽  
张淑勇 ZHANG Shuyong ◽  
王荣荣 WANG Rongrong ◽  
赵艳云 ZHAO Yanyun ◽  
孙景宽 SUN Jingkuan ◽  
...  

2012 ◽  
Vol 38 (5) ◽  
pp. 305-311
Author(s):  
Nobuhide Takahashi ◽  
Masataka Tsurukawa ◽  
Chikao Arai ◽  
Hiroshi Fukunaga ◽  
Koichi Yamada

2021 ◽  
pp. X
Author(s):  
Shuhua LIU ◽  
Hao WANG ◽  
Hongling WANG

We study the grinding dynamic behavior and particle size distribution (PSD) characteristics of tuff powder. With the analysis of particle size and data of activity test, the results indicate that tuff powder is easy to be ground for the coarse-grained while is difficult for the fine-grained. It is feasible to quantitatively express the milling process of tuff powder by Divas-Aliavden milling dynamic equation. The milling speed and the milling time are negatively correlated, and the grinding efficiency is minimized after 60 min. Equivalent particle size (EPS) is positively linearly correlated with the logarithm of grinding time, while specific surface area (SSA) is inversely correlated, both of them have a highly linear correlation. The PSD of tuff powder, which complies well with the Rosin-Rammler-Bennet (RRB) distribution model, has typical fractal characteristics, and its fractal dimension is also positively correlated with the milling time.


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