The majority of existing effective stress-based constitutive models approach thermal effects through the temperature dependency of surface tension and its effects on the soil-water retention curve (SWRC) and effective stress. Experimental tests and theoretical studies, however, suggest that the temperature effect on surface tension alone is not sufficient to properly explain thermal-induced changes in the effective stress and SWRC. This study focuses on the temperature-dependent elastoplastic behavior of low plasticity unsaturated soils by developing a set of constitutive-level relations that incorporate temperature-dependent SWRC and effective stress models. These models account for the effect of temperature on the enthalpy, contact angle, and surface tension. The application of the presented constitutive relations was demonstrated and validated for low plasticity soils, specifically incorporating temperature effects into the hardening modulus, specific volume change, yield stress of the modified Cam-Clay model, and stress-strain relationships. The proposed relationships are incorporated in any effective stress-based constitutive model for modeling temperature dependency of elastoplastic response in low plasticity unsaturated soils. Employing these relationships can enhance the numerical simulation of low plasticity unsaturated soils under thermo-mechanical or other coupled processes involving temperature-dependent conditions.

Fluorite (CaF2) leaching and weathering (30 days) were conducted to measure fluoride dissolution in semiarid endemic soil and controlled synthetic solutions, and determining the main chemical species involved in these processes via atomic force microscopy (AFM), X-ray diffraction (XRD) and Scanning electron microscopy (SEM-EDS). Ecological health response in this system was assessed exposing Allium cepa bulbs to 10, 50, 100, 450, 550 and 950 mg CaF2 kg-1 soil to determine genotoxic damage, protein and systemic fluorine concentrations. Results indicated 3 cycles of passive-active fluorite dissolution enabling fluoride concentrations up to 164 mg L-1 under endemic conditions; however, highest fluoride dissolution was 780 mg L-1 for synthetic sulfates solution. Cyclic behavior was associated with the formation of ultrafine-sized calcite (CaCO3)-like compounds. Fluorine concentrations ranged from 5 to 300 mg kg-1 in vegetable tissue. The electrophoretic profiles revealed changes in the protein expression after 7, 15 and 25 days of exposure. Genotoxic damage rate was 50, 82 and 42% for these exposures (950 mg CaF2 kg-1 soil). The dose-response curves of the normalized total protein content revealed the kinetics vegetable health damage rates for only 7 and 25 days. This behavior was best adjusted for only 7 days. These findings exhibited characteristics for initial damage and adaptation-recovery stage after 15 days. Environmental implications of these findings were further discussed.

Using steel slag concrete (SSC) as a pile material not only promotes industrial waste recycling but also improves ground conditions through its distinct hydrological and chemical properties. This study investigated the hydrological processes of SSC piles under no-load conditions, offering new insights into pile-soil interactions. A novel visualization test device was developed to continuously monitor water migration, pore water pressure fluctuations, and soil disturbance over six months. Macro-scale observations and micro-scale analyses were conducted to elucidate physical and chemical reactions at the pile-soil interface. Compared to ordinary concrete piles, SSC piles demonstrated superior expansion and drainage capabilities, characterized by enhanced radial and vertical water flow, increased surface porosity, and the formation of a distinct interface layer enriched with calcium carbonate and cementitious hydration products. These improvements facilitate effective water distribution and drainage while reinforcing the pile-soil bond, thereby contributing to a more robust composite system for ground improvement. This integrated approach and its findings offer valuable contributions to the broader field of soil-pile interactions by detailing the multi-scale mechanisms governing the hydrological behavior and interface evolution of composite foundation systems.

Industrial wastes cause damage to the environment and pose a threat to public health. The utilization of industrial wastes is inevitable if a circular economy needs to be achieved. Cement kiln dust (CKD) is a potential engineering material that can be used in many civil engineering works. The volume change behavior of a CKD is reported here. One-dimensional swelling and compression tests were carried out on CKD specimens to derive the compressibility parameters and coefficient of permeability. A cyclic wet-freeze-thaw-dry test was carried out to study the volume change of the material upon exposure to various seasonal climatic processes under a low surcharge pressure. The experimental results show that CKD can exhibit swelling under light loads. The correlations between plasticity properties and compressibility parameters that are applicable to fine-grained soils were found to overestimate the parameters of the CKD. The magnitudes of frost heave and thaw settlement were found to be significant, with an uprising type of movement accompanied by strain accumulation when the material was taken through several wet-freeze-thaw-dry cycles.

Soil and water pollution represent significant threats to global health, ecosystems, and biodiversity. Healthy soils underpin terrestrial ecosystems, supporting food production, biodiversity, water retention, and carbon sequestration. However, soil degradation jeopardizes the health of 3.2 billion people, while over 2 billion live in waterstressed regions. Pollution of soil, air, and water is a leading environmental cause of disease, contributing to over 9 million premature deaths annually. Soil contamination stems from heavy metals, synthetic chemicals, pesticides, and plastics, driven by industrial activity, agriculture, and waste mismanagement. These pollutants induce oxidative stress, inflammation, and hormonal disruption, significantly increasing risks for non-communicable diseases (NCDs) such as cardiovascular disease (CVD). Emerging contaminants like micro- and nanoplastics amplify health risks through cellular damage, oxidative stress, and cardiovascular dysfunction. Urbanization and climate change exacerbate soil degradation through deforestation, overfertilization, and pollution, further threatening ecosystem sustainability and human health. Mitigation efforts, such as reducing chemical exposure, adopting sustainable land-use practices, and advancing urban planning, have shown promise in lowering pollution-related health impacts. Public health initiatives, stricter pollution controls, and lifestyle interventions, including antioxidant-rich diets, can also mitigate risks. Pollution remains preventable, as demonstrated by high-income nations implementing cost-effective solutions. Policies like the European Commission's Zero-Pollution Vision aim to reduce pollution to safe levels by 2050, promoting sustainable ecosystems and public health. Addressing soil pollution is critical to combating the global burden of NCDs, particularly CVDs, and fostering a healthier environment for future generations.

This study presents a fully coupled thermo-hydro-mechanical (THM) constitutive model for clay rocks. The model is formulated within the elastic-viscoplasticity framework, which considers nonlinearity and softening after peak strength, anisotropy of stiffness and strength, as well as permeability variation due to damage. In addition, the mechanical properties are coupled with thermal phenomena and accumulated plastic strains. The adopted nonlocal and viscoplastic approaches enhance numerical efficiency and provide the possibility to simulate localization phenomena. The model is validated against experimental data from laboratory tests conducted on Callovo-Oxfordian (COx) claystone samples that are initially unsaturated and under suction. The tests include a thermal phase where the COx specimens are subjected to different temperature increases. A good agreement with experimental data is obtained. In addition, parametric analyses are carried out to investigate the influence of the hydraulic boundary conditions (B.C.) and post-failure behavior models on the THM behavior evolution. It is shown that different drainage conditions affect the thermally induced pore pressures that, in turn, influence the onset of softening. The constitutive model presented constitutes a promising approach for simulating the most important features of the THM behavior of clay rocks. It is a tool with a high potential for application to several relevant case studies, such as thermal fracturing analysis of nuclear waste disposal systems. (c) 2025 Institute of Rock and Soil Mechanics, Chinese Academy of Sciences. Published by Elsevier B.V. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

Precipitation comes in various phases, including rainfall, snowfall, sleet, and hail. Shifts of precipitation phases, as well as changes in precipitation amount, intensity, and frequency, have significant impacts on regional climate, hydrology, ecology, and the energy balance of the land-atmosphere system. Over the past century, certain progress has been achieved in aspects such as the observation, discrimination, transformation, and impact of precipitation phases. Mainly including: since the 1980s, studies on the observation, formation mechanism, and prediction of precipitation phases have gradually received greater attention and reached a certain scale. The estimation of different precipitation phases using new detection theories and methods has become a research focus. A variety of discrimination methods or schemes, such as the potential thickness threshold method of the air layer, the temperature threshold method of the characteristic layer, and the near-surface air temperature threshold method, have emerged one after another. Meanwhile, comparative studies on the discrimination accuracy and applicability assessment of multiple methods or schemes have also been carried out simultaneously. In recent years, the shift of precipitation from solid to liquid (SPSL) in the mid-to-high latitudes of the Northern Hemisphere has become more pronounced due to global warming and human activities. It leads to an increase in rain-on-snow (ROS) events and avalanche disasters, affecting the speed, intensity, and duration of spring snow-melting, accelerating sea ice and glacier melting, releasing carbon from permafrost, altering soil moisture, productivity, and phenological characteristics of ecosystems, and thereby affecting their structures, processes, qualities, and service functions. Although some progress has been made in the study of precipitation phases, there remains considerable research potential in terms of completeness of basic data, reliability of discrimination schemes, and the mechanistic understanding of the interaction between SPSL and other elements or systems. The study on shifts of precipitation phases and their impacts will play an increasingly important role in assessing the impacts of global climate change, water cycle processes, water resources management, snow and ice processes, snow and ice-related disasters, carbon emissions from permafrost, and ecosystem safety.

This study investigates black carbon (BC) concentrations in the seasonal snowpack on the Godwin-Austen Glacier and in surface snow at K2 Camps 1 and 2 (Karakoram Range), assessing their impact on snowmelt during the 2019 ablation season. Potential BC and moisture sources were identified through back-trajectory analysis and atmospheric reanalyses. Variations in water stable isotopes (delta 1(8)O and delta 2H) in the snowpack were analysed to confirm its representativeness as a climatic record for the 2018-19 accumulation season. The average BC concentration in the snow pits (12 ng g-1) generated 66 mm w.e. (or 53 mm w.e. excluding the basal zone) of meltwater. Surface snow at K2 Camp 1 showed BC concentrations of 7 ng g-1, consistent with those on the snowpack surface, suggesting it may reflect local BC levels in late February 2019. In contrast, higher concentrations at K2 Camp 2 (26 ng g-1) were potentially linked to expedition activities.

Viscous compression, the delayed slow compression of soils after loading, has emerged as a challenging process contributing to land subsidence in soft soil areas. Despite previous research on clay soils, there is still limited understanding of the processes and mechanisms of viscous compression of organic soils. As peat is more susceptible to viscous compression than clay, and the subsurface of subsiding deltas can contain substantial bodies of peat, understanding of processes, mechanisms and drivers is needed to predict the potential for and amount of viscous compression to occur and assess the effect of mitigation measures to delta subsidence. This study integrates findings from prior research on viscous compression behaviour of clay for a comprehensive comparison of the structural, geomechanical, chemical, and biological characteristics of clay and peat, to evaluate to what extent compression mechanisms in clay operate in a similar way in peat. The study focuses on mechanisms of viscous clay compression, which are: expulsion of micropore water, changes in the adsorbed water layer, and particle interactions. Our review establishes that these mechanisms also manifest in peat, albeit with varying contributions to the reorientation of peat fibres. Notably, the distinct pore structure and larger average pore diameters of peat result in water expulsion behaviour that is different from clay. Additionally, the negative electrical charge on clay mineral surfaces is stronger than that of peat fibre surfaces, influencing attraction or repulsion forces among particles and the adsorbed water. This study introduces decomposition of organic matter as an additional long-term control of subsidence. Decomposition weakens the peat structure and facilitates particle reorientation, which enhances the susceptibility to compression. On the other hand, when organic material is already decomposed, it shows lower compressibility compared to fibrous organic material.

Global climate change and permafrost degradation have significantly heightened the risk of geological hazards in high-altitude cold regions, resulting in severe casualties and property damage, particularly in the Qinghai-Tibet Plateau of China. To mitigate the risk of geological disasters, it is crucial to identify the primary disaster-inducing factors. Therefore, to address this issue more effectively, this study proposes a spatiotemporal-scale approach for detecting disaster-inducing factors and investigates the disaster-inducing factors of geological hazards in high-altitude cold regions, using the Kanchenjunga Basin as a case study. As the world's third-highest peak, Kanchenjunga is highly sensitive to climate fluctuations. This study first integrates the frost heave model and multitemporal interferometric synthetic aperture radar techniques to monitor ascending and descending track line-of-sight deformation of the frozen active layer in the study area. Subsequently, the surface parallel flow constrained model is employed to decompose the 3-D time-series deformation of geological hazards in the basin, with remote sensing imagery and field surveys used to identify a total of 94 disaster sites. In parallel, a database of potential conditioning factors is constructed by leveraging Google Earth Engine remote sensing inversion technology and relevant data provided by the China Geological Survey. Finally, by integrating monitoring results with a database of potential geological conditioning factors, the spatiotemporal-scale approach for detecting disaster-inducing factors proposed in this study is applied to investigate the disaster-inducing factors in the Kanchenjunga Basin. The research results highlight that surface temperature is the primary driving factor of geological hazards in the Kanchenjunga Basin. This research helps bridge the data gap in the region and offers critical support for local government decision-making in disaster prevention, risk assessment, and related areas.