Research in Cold and Arid Regions最新文献

{"title":"Freeze-thaw damage continuous constitutive of modified asphalt mixture based on the MMF model","authors":"Shuai Mao,&nbsp;ShaoLong Jie,&nbsp;ZuRun Yue,&nbsp;TianFei Hu,&nbsp;CaoLin Qing,&nbsp;ZhongAng Zhai,&nbsp;ChenPeng Miao","doi":"10.1016/j.rcar.2025.07.005","DOIUrl":"10.1016/j.rcar.2025.07.005","url":null,"abstract":"<div><div>A modified asphalt mixture was prepared using polystyrene-butadiene-styrene block copolymer (SBS) and waste tire rubber powder (WTRP), with the asphalt mixture ratio optimized based on the particle accumulation theory and the particle interference effect. Considering the impact of freeze-thaw cycles (FTC), the evolution of the stress–strain relationship about the material was analyzed from various perspectives, including strength deterioration and freeze-thaw damage, using the splitting strength tests. A unified calculation model for strength deterioration was developed using a single logarithmic coordinate transformation, effectively capturing the strength degradation behavior of asphalt mixtures under FTC while minimizing test errors in coarse-grained mixtures. The results showed that: (1) After 30 freeze-thaw cycles, the matrix asphalt mixture exhibited the highest strength loss rate of 45.08%. (2) The SBS/WTRP-modified asphalt mixture with AC-16C grading showed the lowest freeze-thaw strength degradation rate, reduced to 47.59% of the pre-modification rate. (3) A continuous damage constitutive relationship for asphalt mixtures considering FTC was established based on the Morgan–Mers–Flodin (MMF) model and the strain equivalence principle. Using data from the first 20 freeze-thaw strength deterioration tests, the model could predict strength deterioration curves for 25 and 30 FTC. This study aims to investigate the SBS/WTRP-modified asphalt mixtures and establish a continuous damage constitutive model based on the MMF model to predict long-term performance under FTC.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 3","pages":"Pages 197-207"},"PeriodicalIF":3.5,"publicationDate":"2026-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148588853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Are area changes the primary indicator for predicting glacial lake outburst Risks?——A case study of the HMA region","authors":"ZhiJuan Tian ,&nbsp;XiaoJun Yao ,&nbsp;Cong Zhang ,&nbsp;HongYu Duan ,&nbsp;Juan Zhang ,&nbsp;Qin Ma","doi":"10.1016/j.rcar.2025.03.005","DOIUrl":"10.1016/j.rcar.2025.03.005","url":null,"abstract":"<div><div>Glacial lake outburst floods (GLOFs) have received substantial attention owing to their catastrophic potential. Thus, accurate susceptibility assessments are crucial for disaster prevention and mitigation. These assessments primarily depend on the characteristics of glacial lakes and their surrounding environments. While some studies highlight glacial lake area expansion as a key indicator, quantitative analyses remain limited. This study investigates 94 reported GLOF events in High Mountain Asia (HMA) since 1998, confirming 40 precise events through literature review, remote sensing imagery, and geomorphological analysis. By constructing year-by-year boundary data for these 40 glacial lakes and analyzing their area changes, we identified three key findings: (1) Relationship between lake size and outburst frequency: Smaller lakes are more prone to outbursts. The mean glacial lake area was 0.25 km², with 42.5% being &lt;0.1 km² and only 2.5% &gt;1 km². (2) Complex area change patterns: Area changes before outbursts were categorized into four types: expanding, stable, shrinking, and fluctuating. Notably, 45% of lakes showed expansion trends, while 15.56% exhibited significant shrinkage. (3) Regional differences in susceptibility: In the Himalayas, pre-outburst area changes were highly variable, making area growth an unreliable indicator of GLOF susceptibility. Conversely, lakes in the Nyainqentanglha Mountains were either stable or expanding before outbursts, suggesting that continuous expansion could serve as a potential trigger and warrants close monitoring. These findings underscore the need for comprehensive, region-specific approaches to GLOF risk assessment, emphasizing the complexity of area changes and the importance of tailored monitoring strategies.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 120-129"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessment of ecological vulnerability in Xinjiang Uygur Autonomous Region, China","authors":"Yue Liu ,&nbsp;Hui Tao ,&nbsp;Jie Zhu ,&nbsp;Sanjit Kumar Mondal ,&nbsp;Zulfiyor Bakhtiyorov","doi":"10.1016/j.rcar.2025.02.009","DOIUrl":"10.1016/j.rcar.2025.02.009","url":null,"abstract":"<div><div>Since the Mid-20th century, the impact of global change on regional ecology has become increasingly significant, especially in the aspects of climate change and land use change. The Xinjiang Uygur Autonomous Region, located in the arid and semi-arid areas of northwest China, represents a typical ecologically vulnerable region. This study focuses on Xinjiang by incorporating temperature and precipitation variability into the ecological vulnerability assessment framework using the Pressure-State-Response (PSR) model. The objective of this study was to assess the ecological vulnerability of Xinjiang from 2000 to 2020 and analyze the driving mechanisms behind these changes. The findings reveal a spatial distribution of ecological vulnerability in Xinjiang. From 2000 to 2020, the ecological vulnerability in Xinjiang initially increased and then decreased, with an upward trend from the northwest to the southeast. It reflects the differences in the natural environment and human activities among different regions, and region-specific ecological protection and restoration measures should be implemented based on the characteristics of each region. From 2000 to 2010, 36% of the study area has witnessed an increasing vulnerability while the percent was 25.3% for areas with decreasing vulnerability from 2010 to 2020. Xinjiang's ecosystems are sensitive to climate change, with influencing factors including temperature and precipitation variability, accumulated temperature (≥10 °C), annual precipitation, Aridity Index (AI), and Fractional Vegetation Cover (FVC).</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 167-177"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754142","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diversity and pathogenic potential of fungal communities along elevational gradients in the Everest Glacier","authors":"Tong Ma ,&nbsp;XinYue Wang ,&nbsp;ZhiYuan Chen ,&nbsp;YeTeng Xu ,&nbsp;Wei Zhang ,&nbsp;Tuo Chen ,&nbsp;GuangXiu Liu ,&nbsp;JunMing Guo ,&nbsp;ShanJia Li ,&nbsp;BingLin Zhang","doi":"10.1016/j.rcar.2025.05.003","DOIUrl":"10.1016/j.rcar.2025.05.003","url":null,"abstract":"<div><div>Fungi are a critical member of glacier microbial communities, driving organic matter decomposition, nutrient cycling, and forming symbiotic interactions that help sustain ecosystem stability in extreme conditions. However, the diversity, distribution characteristics, and pathogenic potential of fungal communities in high-altitude glaciers remain poorly understood. In this study, we used Illumina high-throughput sequencing to characterize fungal communities across different elevations of the East Rongbuk Glacier on Mount Everest. A total of 8 phyla, 31 classes, 77 orders, 144 families, 215 genera, and 273 species were identified. The phylum Ascomycota predominated across all elevations. Alpha diversity indices, including Chao1 and Shannon indices, revealed no clear trend with altitude, though beta diversity analyses indicated that geographical factors–latitude, longitude, and altitude–significantly shaped community structure. Canonical correspondence analysis (CCA) and heatmap correlations further demonstrated that environmental variables such as electrical conductivity, total dissolved solids, and nutrient levels were closely associated with specific fungal taxa. Potential pathogenic fungi, such as <em>Basidiobolus microsporus</em> and <em>Fusarium</em>, were identified, suggesting their adaptability to extreme environments and potential health risks. The findings highlight both the ecological significance of fungal communities in glacier ecosystems and the possible implications of climate-induced environmental changes, offering a foundation for future research on the impacts of climate change on glacial biodiversity and public health.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 178-186"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing Qppq method for streamflow prediction in ungauged basins: Study case of Ouzoud basin in Morocco","authors":"Zilali Abdessamad ,&nbsp;Larabi Abdelkader ,&nbsp;Ajdor Youssef","doi":"10.1016/j.rcar.2025.07.002","DOIUrl":"10.1016/j.rcar.2025.07.002","url":null,"abstract":"&lt;div&gt;&lt;div&gt;As a result of no direct measurement data, accurate stream flow prediction in ungauged basins has remained a challenge in water resource management and flood forecasting. To meet this challenge, advanced hydrological models can be integrated with remote sensing and machine learning techniques. Hydrological models are used to understand the dynamics of streamflow patterns while remotely sensed information provides real-time information on land surface conditions as well as weather parameters thus enhancing the accuracy of these models. Using classical approaches, machine learning methods enable the analysis of complex datasets to detect interrelations or patterns that may not be obvious. Therefore, an integrated approach is crucial for improving flow predictions in ungauged basins that ultimately support effective water management and flood mitigation strategies.&lt;/div&gt;&lt;div&gt;This can become even more complicated with climate change as shown by Morocco's high sensitivity to irregular rainfall patterns brought about by climate variations. One such place is the Ouzoud watershed, which stretches 315.6 km&lt;sup&gt;2&lt;/sup&gt; across Central High Atlas Mountains and is characterized by frequent flooding leading to socio-economic impacts. This study aims at assessing streamflow prediction methods particularly the Quantile-Quantile Plot (QPPQ) method endorsed by USGS for its applicability in predicting streamflow at ungauged locations.&lt;/div&gt;&lt;div&gt;The study area includes both gauged and ungauged watersheds such as the Bernat River, Lakhdar River, Ghassaf River, and Tassaouet River, with Ouzoud River being the only ungauged basin. The geological setting is characterized by carbonate rocks (limestone) throughout the catchment. Mediterranean climate mountainous conditions prevail in this region that experience significant rainfall variations. Other watersheds within the survey site are those of Tassaout and Bernat which have different geological and climatic influences on streamflow patterns.&lt;/div&gt;&lt;div&gt;The QPPQ method entails estimating the Flow Duration Curve (FDC) for the catchment of interest, identifying matching donor sites in terms of hydrological characteristics, transferring non-excessive probabilities from these donor sites and mapping these probabilities to streamflow estimates. The performance of the QPPQ method is assessed based on several statistical criteria including Correlation Coefficient (CC), Coefficient of Determination (R&lt;sup&gt;2&lt;/sup&gt;), Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Nash-Sutcliffe Efficiency (NSE), and Kling-Gupta Efficiency (KGE). For instance, the CC value of 0.55 at Bernat River Sgatt station means that there exists a moderate linear relationship between predicted and observed streamflows while &lt;em&gt;R&lt;/em&gt;&lt;sup&gt;2&lt;/sup&gt; value at 0.36 indicates that about 36 % of the explained variation in observed flow is covered by predicted ones. Meanwhile, MAE=22.50 mirrors an average absolute prediction error while RMSE equal","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 146-158"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754138","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nitrogen and phosphorus allocation strategy among dominant species' major organs in desert grassland","authors":"JianNan Lu ,&nbsp;XueYong Zhao ,&nbsp;YuQiang Li","doi":"10.1016/j.rcar.2025.02.008","DOIUrl":"10.1016/j.rcar.2025.02.008","url":null,"abstract":"<div><div>Allometric allocation of limiting nutrient elements at the organ level is a crucial strategy for plants to adapt to environmental changes. However, our understanding of intra- and inter-organ allocation patterns of nitrogen (<em>N</em>) and phosphorus (<em>P</em>) in desert grassland plants remains limited. A one-year pot experiment (June 2020 to August 2021) was conducted to investigate the <em>N</em>–<em>P</em> allometric scaling relationships within and between plant organs of dominant shrubs and herbaceous species cultivated in two soil types: desert eolian sand soil (DESS) and brown calcic soil (BCS). The results indicated that, overall, the leaves of both shrubs and herbaceous plants exhibited higher <em>N</em> and <em>P</em> contents compared to other plant organs. Notably, under BCS conditions, fine roots of <em>Ammopiptanthus mongolicus</em> exhibited higher <em>P</em> content than leaves. For shrubs, <em>N</em> content in leaves changes faster than <em>P</em> content, while in other organs, <em>P</em> content increased faster than N content. The <em>N</em>–<em>P</em> allometric exponents for herbaceous leaves and roots were 0.47 and 0.56, respectively. Additionally, <em>N</em> and <em>P</em> contents in shrub leaves and fine roots were linearly positively correlated with soil total <em>N</em> and <em>P</em> contents. Generally, changes in soil type from DESS to BCS did not alter the <em>N</em>–<em>P</em> allometric scaling relationships within specific plant organs but did affect the <em>N</em> and <em>P</em> allocation in shrub fine roots. These findings enhance our understanding of <em>N</em> and <em>P</em> allocation strategies within and between major organs of desert plants.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 159-166"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Influence of river vegetation on sediment transport and erosion mitigation: A review","authors":"Mohd Nadim Ahmed,&nbsp;Berlin Mohanadhas","doi":"10.1016/j.rcar.2025.07.001","DOIUrl":"10.1016/j.rcar.2025.07.001","url":null,"abstract":"<div><div>Natural river systems are essential for conveying water, sediments, and organic material from upstream catchments to downstream reaches. One of the key processes influencing channel morphology is bedload transport, defined by the movement of coarse sediments on the channel bed. Vegetation within channels significantly modifies bedload dynamics, offering both obstructive and supportive effects on sediment transport processes. This review synthesizes current understanding of how instream vegetation governs sediment mobility and erosion control by integrating insights from hydraulic, geomorphic, and ecological perspectives. The analysis highlights how vegetation influences flow structure and shear stress distribution, and examines its role in enhancing sediment capture, deposition, and stabilization. The review also considers how vegetation shapes channel morphology and supports bar formation. In addition, it explores the feedback loops connecting vegetation, hydraulic forces, and bedload transport. Finally, key research gaps are identified, with suggested future directions to improve understanding of vegetation and bedload interactions within natural river channels.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 101-105"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Rapid development of thermokarst lakes and driving factors along a highway in Northeast China (2000–2020)","authors":"JunHe Liang ,&nbsp;Shuai Huang ,&nbsp;XiaoYing Jin ,&nbsp;XiaoYing Li ,&nbsp;AnYuan Li ,&nbsp;Lin Yang ,&nbsp;WenHui Wang ,&nbsp;JianJun Tang ,&nbsp;Ze Zhang ,&nbsp;YongPing Wang ,&nbsp;ShanZhen Li ,&nbsp;XiangLong Li ,&nbsp;JinBang Zhai ,&nbsp;Xue Yang ,&nbsp;HongWei Wang ,&nbsp;LanZhi Lü ,&nbsp;RuiXia He ,&nbsp;Raul-David Şerban ,&nbsp;HuiJun Jin","doi":"10.1016/j.rcar.2025.03.004","DOIUrl":"10.1016/j.rcar.2025.03.004","url":null,"abstract":"<div><div>In the northern Da Xing'anling Mountains of Northeast China, thermokarst lakes have undergone significant changes. These changes are particularly evident along the Highway X302, which stretches from Yakeshi in the south to Yitulihe in the north, across zones of discontinuous to patchy Xing'an permafrost (XAP). Thermokarst lakes are highly sensitive to both climate warming and human activities. However, changes in their areal extent and number over the past two decades remain unclear. To identify the drivers of thermokarst lake changes in the XAP region, this study analyzes the relationship among lake dynamics, climate change, and human activities. Rich data on lake changes were extracted using the modified normalized difference water index (MNDWI) from the Google Earth Engine (GEE) and verified against the Joint Research Centre (JRC) global surface water datasets. The results show a net increase in both the number and areal extent of thermokarst lakes along the Highway X302 from 2000 to 2020. Larger lakes (greater than 0.01 km²) expanded in surface area. Meanwhile, smaller lakes (less than 0.01 km²) increased in number. A bell-shaped trend was observed, with an initial increase in lake area followed by a decline around 2013. Before 2013, climate factors such as precipitation, air temperature, and potential evapotranspiration (PET) strongly influenced lake changes. After 2013, annual precipitation became the dominant driver of lake expansion. Human activities also contributed to changes in permafrost thermal regimes, further influencing lake dynamics. These findings provide valuable insights into the management of thermokarst lakes and wetlands in the region, and offer a reference for mitigating frost-related hazards along the Highway X302.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 106-119"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754135","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Spatiotemporal variations of dust emission in Qaidam basin during the past 40 years","authors":"ShengFei Yang ,&nbsp;HeQiang Du ,&nbsp;YaWei Fan","doi":"10.1016/j.rcar.2024.12.007","DOIUrl":"10.1016/j.rcar.2024.12.007","url":null,"abstract":"<div><div>The Qaidam Basin, situated on the Qinghai-Tibetan Plateau, ranks among the highest deserts in the world. Dust derived from this basin are carried to neighboring regions by atmospheric circulation, resulting in accelerated glacier melting, earlier onset and prolonged duration monsoon, and modification of atmospheric temperature structure, thereby influencing climate patterns. Therefore, it is crucial to understand the characteristics of dust emissions in the Qaidam Basin. However, previous studies have often relied on satellite remote sensing data or models that lack validations. Hence, we use a dust emission model validated with extensive measured data from the Qinghai-Tibetan Plateau to simulate the spatiotemporal distribution of dust emissions in the Qaidam Basin from 1982 to 2020. And, the Classification and Regression Trees (CART) machine learning method is used for multi-factor comprehensive analysis to identify the dominant factors affecting dust emissions and to determine the configuration of factors that have the most significant impact. We found that the dust emissions in the Qaidam Basin showed a slightly increasing trend over the past 40 years. The internal variability of dust emissions and external factors such as meteorological conditions and surface characteristics contributed to a notable increase in dust emissions during the early 2000s. Meanwhile, the annual cyclic variation in meteorological conditions is the reason for the higher dust emissions in spring and early summer and lower ones in the other seasons in this region. The spatial distribution of dust emissions exhibits significant variation with altitude, and in the piedmont alluvial fans that locate the transition zones between the mountains and the basins the dust emission rates generally higher than the other places. The surface soil moisture (SM) and the wind speed at 10-m height (WS) are the dominant factors influencing dust emission, and their mechanisms of affecting dust emission are different. SM plays a crucial role in the initial stage of dust lifting, while WS has a continuous and more significant influence throughout the entire dust emission process. Among the combinations of multiple influencing factors, the one where SM is less than or equal to 0.113 mm³/mm³, WS is greater than 5.159 m/s, and air temperature (AT) is greater than −12.488 °C is the most conducive to dust emission. We provide new insights into dust emission in the Qaidam region, offering directions for future research to focus on the different mechanisms of various influencing factors in the dust emission process, as well as on the changes in dust emissions under different configurations of multiple factors.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 187-196"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Investigation on frost heave of Beiluhe permafrost embankment based on thermal behavior with new geocell reinforcement","authors":"Hui Liu ,&nbsp;FuJun Niu ,&nbsp;Jun Hu","doi":"10.1016/j.rcar.2025.06.002","DOIUrl":"10.1016/j.rcar.2025.06.002","url":null,"abstract":"<div><div>Frost heave phenomenon poses significant geohazard, threatening the safety of the infrastructure in cold regions as a result of freezing-thawing cycles. This threat the destabilizes the environment and complicates further construction. The paper aims to evaluate the uneven displacement associated with frost heave, focusing on the thermo-mechanical interactions that govern embankment stability and the potential benefits of the New Geocell Soil (NGCS) system. Field experiments were conducted to monitor thermal penetration, and microstructural analyses were performed to assess soil composition changes in response to thermal cycles. It is significantly correlated with the displacement, suggesting that temperature characteristics can be employed in assessments. The New Geocell soil system has been introduced to mitigate thermal effects and uneven frost heave. The identified alterations highlight essential weak zones for mechanical response evaluation at the top layer, with a significant increase in frost heave within the range of −2 °C to −1 °C. This complicates traditional evaluation models and necessitates a deeper understanding of thermo-mechanical properties. The results indicate that frost heave below 1 mm showed substantial improvement when reinforced with NGCS. The embankment is strengthened before the New Geocell system fails. The study presents a reliable strategy with soil pressure decrease in the range of 0–250 kPa. The frost front is diminished and it further indicates that New Geocell reinforcement can adapt to migration of thermal response.</div></div>","PeriodicalId":53163,"journal":{"name":"Research in Cold and Arid Regions","volume":"18 2","pages":"Pages 130-145"},"PeriodicalIF":2.3,"publicationDate":"2026-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147754137","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}