Response and prediction of unsaturated permeability of loess to microstructure

Abstract

The study of water infiltration helps to investigate the pollutants' migration, grasp the mechanism of the water cycle, and correctly evaluate water resources. This paper reveals the mechanism of compacted loess's one-dimensional vertical water infiltration characteristics using a low-cost water infiltration device. In addition, it investigates particle arrangement and pore size distribution characteristics using nuclear magnetic resonance (NMR) and scanning electron microscopy (SEM). The test finding suggests that the loess's early-stage infiltration rate is significant, and the dry density is not related to the infiltration characteristics. With the advance of the wetting front, the infiltration rate decreases under air resistance. The unsaturated permeability decreases with dry density at lower matric suction while unaffected by the dry density at higher matric suction. Moreover, the volume and connectivity of pores mainly control the water infiltration characteristics. Finally, based on the test results, a method for rapidly predicting the unsaturated permeability of loess is proposed. The results of the study help predict contaminant transport and guide groundwater extraction and management.

Stability analysis of rainfall-induced landslide considering air resistance delay effect and lateral seepage

“…This paper considered the effect of air resistance on GA models based on Wang's method. The time calculated by Wang's method is 2223 s when the infiltration depth reaches 0.2 m. However, several studies 35 , 36 have shown that air resistance can reduce the infiltration rate. Therefore, the infiltration time calculated by the method of this paper is 2513 s. This follows the inference logic.…”

Research on the evolutionary control of unsafe behavior of construction personnel based on multi-field coupled-homogeneous analysis model

“…Risk coupling theory refers to a theoretical framework in the field of risk management that considers the interactions and influences between different risk factors. It emphasizes the potential interconnections and mutual impacts among various risk factors, which may lead to the occurrence of one risk event or exacerbate the occurrence of others, thereby increasing the overall risk level [ 19 – 21 ]. Several researchers have explored the coupling effects of multiple risk factors in various industries by constructing N-K models, including marine ship accidents and tunnelling construction accidents [ 22 , 23 ].…”