Quantitative Research on the Relationship
between Salinity and Crack Length of Soda
Saline-Alkali Soil

Ren, Jianhong; Li, Xiaojie; Zhao, Kai; Zheng, Xunhua; Jiang, Tao

doi:10.15244/pjoes/85267

Cited by 5 publications

(4 citation statements)

References 24 publications

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“…The statistical results of CL for 57 soil samples with desiccation cracks indicated that the crack lengths of all soil samples covered quite a large distribution from 200 cm to 797.18 cm with an average value of 444.26 cm. In addition, the standard deviation and coefficient of variation of all soil samples in this study were 120.65 cm and 27.16%, respectively, showing that the extent of desiccation cracking was quite random and fluctuating in a wide range, covering a similar range measured by Ren et al [55].…”

Section: Crack Lengthsupporting

confidence: 82%

Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing Observation

Zhang

Zhou

et al. 2023

Remote Sensing

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Soil salinity is one of the parameters used for determining the extent of soil salinization. During water evaporation, the surface of salt-affected soils in the Songnen Plain, China, exhibits obvious shrinkage and cracking phenomena due to the high salt content. The aim of this current study is to quantify the influence of the salt content on the surface shrinkage–cracking process and to achieve quantitative extraction of soil salinity parameters based on different crack parameter types. In order to achieve the above objectives, a controlled shrinkage–cracking experiment was conducted. Subsequently, three kinds of crack characteristics such as crack length, box-counting dimension, and 12 gray-level co-occurrence matrix (GLCM) texture features were quantitatively extracted from the standard binary crack patterns. In order to predict the soil physical–chemical properties of salt-affected soils in the Songnen Plain, three models such as multiple linear regression (MLR), multiple stepwise regression (MSR), and artificial neural network (ANN) were developed and compared based on the crack length, box-counting dimension, and the first two principal components of GLCM texture features. The results show that the extent of desiccation cracks was determined by soil salinity since the water film caused by exchangeable cations and the thickness of DDL determined by soil salinity can promote desiccation cracking. Although the three methods have high prediction accuracy for Na+, electrical conductivity (EC), and total soil salinity, the ANN-based method showed the best prediction with R2 values for Na+, EC, and soil salinity as high as 0.91, 0.91, and 0.89, and ratio of performance to deviation (RPD) values for Na+, EC, and soil salinity corresponding to 2.96, 3.47, and 2.95.

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Section: Crack Lengthsupporting

confidence: 82%

Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing Observation

Zhang

Zhou

et al. 2023

Remote Sensing

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“…Although many previous studies have shown that geometric parameters (such as crack length, crack area, crack length density, and crack area density) have been commonly used, they still have certain defects in quantitatively characterizing the surface cracks compared with texture features. Specifically, crack length and crack area cannot show convergence [ 59 , 60 ], while crack length density and crack area density are unable to adequately describe the distributions of desiccation cracks generated from the random cracking locations of the soil samples with low repeatability [ 61 , 62 ]. In addition, the crack densities mentioned above also fail to provide an idea of the propagation of soil cracks in different directions [ 63 ].…”

Section: Discussionmentioning

confidence: 99%

Quantitative Response of Gray-Level Co-Occurrence Matrix Texture Features to the Salinity of Cracked Soda Saline–Alkali Soil

Zhao

Zhang

Zhu

et al. 2022

IJERPH

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Desiccation cracking during water evaporation is a common phenomenon in soda saline–alkali soils and is mainly determined by soil salinity. Therefore, quantitative measurement of the surface cracking status of soda saline–alkali soils is highly significant in different applications. Texture features can help to determine the mechanical properties of soda saline–alkali soils, thus improving the understanding of the mechanism of desiccation cracking in saline–alkali soils. This study aims to provide a new standard describing the surface cracking conditions of soda saline–alkali soil on the basis of gray-level co-occurrence matrix (GLCM) texture analysis and to quantitatively study the responses of GLCM texture features to soil salinity. To achieve this, images of 200 field soil samples with different surface cracks were processed and calculated for GLCMs under different parameters, including directions, gray levels, and step sizes. Subsequently, correlation analysis was then conducted between texture features and electrical conductivity (EC) values. The results indicated that direction had little effect on the GLCM texture features, and that four selected texture features, contrast (CON), angular second moment (ASM), entropy (ENT), and homogeneity (HOM), were the most correlated with EC under a gray level of 2 and step size of 1 pixel. The results also showed that logarithmic models can be used to accurately describe the relationships between EC values and GLCM texture features of soda saline–alkali soils in the Songnen Plain of China, with calibration R2 ranging from 0.88 to 0.92, and RMSE from 2.12 × 10−4 to 9.68 × 10−3, respectively. This study can therefore enhance the understanding of desiccation cracking of salt-affected soil to a certain extent and can also help to improve the detection accuracy of soil salinity.

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“…It is estimated that the total area of global saline alkali land is approximately 112.5 million hectares and is growing at a rate of 1-1.5 million hectares, becoming a global environmental problem [1]. In China, the area of saline alkali soil is about 1 million km 2 , among which Inner Mongolia is one of the provinces with a larger area of saline alkali soil, and soil salinization is particularly severe [2,3]. The wide distribution range, high degree of salinization, and complex and diverse types of salinization are the characteristics of saline alkali soil in Inner Mongolia [4].…”

Section: Introductionmentioning

confidence: 99%

Effects of Salinity and pH Change Conditions on Organic Carbon Mineralization in Saline Alkali Land

Yalu,

Chengfu,

Runcai

et al. 2023

Pol. J. Environ. Stud.

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Little attention has been paid to the process of mineralization of saline-alkali soils. Effects of litter addition and no addition on organic carbon mineralization in saline-alkali soil under different salinity and pH conditions under simulated natural state. The results showed that litter addition significantly (P<0.05) increased the cumulative mineralization of the 3 plots. Under the same salinity and pH conditions (except pH 10.5), the Alashan (ALS) plot has the highest cumulative mineralization among the 3 plots; under different conditions, there is no significant effect on the mineralization of the ALS plot; the Wulanchabu (WLCB) plot The mineralization amount was the highest at S9 and pH10.5, which were 2.23 g•kg -1 and 1.84 g•kg -1 , respectively; the mineralization amount of the Eerduosi (ERDOS) plot decreased significantly with the gradient (P<0.05). The cumulative mineralization process fits the first-order kinetic model. Therefore, changes in salinity and pH conditions are not the most important factors affecting the cumulative mineralization of the 3 plots, but the physical and chemical properties of the soil itself and the chemical composition of litter have a closer influence on it.

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Quantitative Research on the Relationship between Salinity and Crack Length of Soda Saline-Alkali Soil

Cited by 5 publications

References 24 publications

Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing Observation

Quantitative Study on Salinity Estimation of Salt-Affected Soils by Combining Different Types of Crack Characteristics Using Ground-Based Remote Sensing Observation

Quantitative Response of Gray-Level Co-Occurrence Matrix Texture Features to the Salinity of Cracked Soda Saline–Alkali Soil

Effects of Salinity and pH Change Conditions on Organic Carbon Mineralization in Saline Alkali Land

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