Effects of Temperature Change on the Soil Water Characteristic Curve and a Prediction Model for the Mu Us Bottomland, Northern China

Xiao-ying, Qiao; Ma, Shaoyang; Pan, Guixing; Liu, Guanglu

doi:10.3390/w11061235

Cited by 18 publications

(7 citation statements)

References 39 publications

(59 reference statements)

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“…Studies have investigated the SWCC of various soils, including clay [22], sand [23], and expansive soils [11,24,25]. The influence of factors such as dry unit weight and the void ratio [25][26][27][28], gradation [28][29][30], and temperature [28,31] on SWCC have also been studied. Even small changes in soil density are known to have a significant impact on the hydro-mechanical properties of the soil.…”

Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Soil-Water Characteristic Curves (SWCC) of Expansive Soil: Effects of Sand Content, Initial Saturation, and Initial Dry Unit Weight

Alnmr,

Alzawi,

Ray

et al. 2024

Water

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Soil-water characteristic curve (SWCC) is an essential parameter in unsaturated soil mechanics, and it plays a significant role in geotechnical engineering to enhance theoretical analysis and numerical calculations. This study investigated the effects of key factors, such as the percentage of sand, initial degree of saturation, and initial dry unit weight, on the SWCC of expansive soil by measuring the matric suction using a pressure apparatus method. The empirical equation of SWCC was obtained using the Van Genuchten and Fredlung Xing models, and the processing of experimental data checks the fitting of the two empirical models. The findings revealed that the Fredlung Xing model fit the relationship between matric suction and volumetric water content of expansive soil better than the Van Genuchten model, indicating that the pressure apparatus approach’s experimental data are correct and acceptable. The study also found that the matric suction increased with decreasing percentage of added sand at the same volumetric moisture content, and the increase in initial dry unit weight increased the matric suction, with the water retention capacity decreasing significantly after adding 20% sand. Moreover, as the initial degree of saturation increased, the volumetric water content decreased, and the characteristic curves became identical when the initial saturation degree reached 90%. Finally, to minimize the water retention capacity of expansive soils, the study recommended adding a percentage of sand not less than 30% to the expansive clay sample.

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Section: Introductionmentioning

confidence: 99%

Experimental Investigation of the Soil-Water Characteristic Curves (SWCC) of Expansive Soil: Effects of Sand Content, Initial Saturation, and Initial Dry Unit Weight

Alnmr,

Alzawi,

Ray

et al. 2024

Water

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“…In the era of big data, with the advancement of wireless communication, mobile computing and positioning technology, spatio-temporal information of real-life moving objects can already be easily obtained [1][2]. People's movement behavior data can be better collected by using cell phone location information, and the movement trajectory contains time data along with specific location data, so it is actually a kind of spatio-temporal data [3][4].…”

Section: Introductionmentioning

confidence: 99%

Prediction of Criminal Suspect Characteristics with Application of Wavelet Neural Networks

Lei,

Huang

2023

Applied Mathematics and Nonlinear Sciences

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Crime incidents grow at a certain rate every year and become more complicated day by day, but at this stage, the development of the field of crime analysis and prediction is still lagging, so this paper applies a wavelet neural network to predict the characteristics of criminal suspects. Analyze the applicability of the WNN model, explore the principle of criminal suspect feature prediction, and study the basis of wavelet neural network analysis. Establish the face feature recognition framework, use the Morlet function and Mexican Hat function pair to optimize and improve the wavelet neural network, and construct the model evaluation index for evaluating the model prediction effect. Preprocessing the suspect feature point data by using the grayscale reflection in Haar features. Simulation experiments are used to analyze the performance of different algorithms and the prediction effect of criminal suspect features on wavelet neural networks. The proposed algorithm in this study is superior and has a lesser number of parameters than ResNet. From the loss curves of different algorithms, the algorithm proposed in this study has a faster-descending loss curve and a smaller loss rate in the epoch value of [100, 200] interval. The overall range of the evaluation indexes of the algorithms proposed in this study is above 88%, and the highest accuracy rate can reach 94.234%, which is a good performance of the algorithms and accurate prediction.

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“…The parameters determined on the basis of the SWRC are used for any calculations of water movements in the unsaturated soil zone. For example, these parameters are the starting point for numerical simulations of the time variable water content and matric potential in the unsaturated soil zone (Ket et al 2018;Qiao et al 2019). The performance of the numerical simulations relies on the accuracy of the information from hydrological parameters.…”

Section: Introductionmentioning

confidence: 99%

Method for indirect determination of soil parameters for numerical simulation of dikes and earth dams

et al. 2022

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One of the most important steps in the numerical simulation of a hydrogeological system is the precise definition of initial and boundary conditions. The better these are characterized, the more efficient the calculation and the more accurate are the simulation result. In case of simulating processes in the unsaturated soil zone, the water retention curve, the relationship between volumetric water content and matric potential, is of great importance. However, the retention parameters determined locally by different standard methods often do not represent the whole soil system under consideration due to heterogeneities in the soil body caused by variability or different compaction of the soil. Resulting over- or underestimation of the parameters is leading to a worse performance of simulations of the water balance including to a higher calibration effort. Therefore, it is more favorable to identify these soil parameters by a method representing the whole soil system to avoid uncertainties. For this reason, a dike experiment was performed to investigate how soil parameters determined locally and globally can represent the properties of the whole soil system. When comparing the simulation results of the numerical models, a better agreement of measured and simulated water contents as well as a lower effort for calibration is observed by using the soil parameters determined globally.

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Effects of Temperature Change on the Soil Water Characteristic Curve and a Prediction Model for the Mu Us Bottomland, Northern China

Cited by 18 publications

References 39 publications

Experimental Investigation of the Soil-Water Characteristic Curves (SWCC) of Expansive Soil: Effects of Sand Content, Initial Saturation, and Initial Dry Unit Weight

Experimental Investigation of the Soil-Water Characteristic Curves (SWCC) of Expansive Soil: Effects of Sand Content, Initial Saturation, and Initial Dry Unit Weight

Prediction of Criminal Suspect Characteristics with Application of Wavelet Neural Networks

Method for indirect determination of soil parameters for numerical simulation of dikes and earth dams

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