TerraMosaic Daily Digest: October 2, 2026
Daily Summary
The October 2 issue is led by papers that make landslide thresholds and failure sequences inspectable. A stacking ensemble for shallow landslides combines strong predictive performance with SHAP-derived rainfall-terrain and rainfall-geotechnical interactions. The 2023 Xiangning loess landslide is reconstructed from field evidence, UAV data, SBAS-InSAR, cyclic tests and finite elements, linking infiltration softening and disturbance to retrogressive sliding and gully blockage. Along the Sichuan-Tibet Railway, 1,289 Sentinel-1 acquisitions yield a corridor-scale two-dimensional deformation field and 584 potentially vulnerable sites after ICA-based phase correction.
Scale and time emerge as first-order controls. Baota District data show that slope, stratigraphy, elevation, aspect and river proximity exchange importance across landslide-size classes. A process-aware flood-frequency model separates heavy-rainfall and snowmelt floods across more than 600 European catchments, revealing design-flow underestimation where opposing trends cancel in annual maxima. A mechanistic synchronization threshold links fault geometry to recurring earthquakes, while a Beijing well-network audit finds that apparent tidal anomalies track instrument events rather than earthquake occurrence.
Infrastructure and geomorphic studies extend monitoring from isolated measurements to evolving systems. A fault-creep review connects cumulative deformation to slopes, tunnels, pipelines, railways, dams and bridges. SAPHYR harmonizes more than 11,000 Swiss rock-mechanics tests into lithology-specific statistical priors. Title-level studies flag delayed rockburst, extreme-weather-conditioned debris-flow susceptibility and landslide-driven sediment pulses; their unavailable methods and results are not inferred. Companion work addresses seismic site effects, basin geometry, tunnel anchorage, railway settlement and floodplain-subgrade degradation.
The broader methods set remains selective. Global drought projections, tropical-ocean extreme-event observations and rainfall erosivity correction strengthen hydroclimatic context. Physics-informed offshore-response prediction, nature-based coastal protection and scour experiments contribute transferable tools where failure physics or uncertainty is explicit. Satellite-only transmission-line digitization supports regional infrastructure inventories, while title-level tunnel-deformation and physically constrained stress-inversion papers extend underground risk coverage without inferring unavailable results.
Key Trends
The day's strongest work makes thresholds, time dependence and observation limits explicit across slopes, floods, faults and infrastructure.
- Landslide models are exposing coupled thresholds: The shallow-landslide ensemble resolves nonlinear rainfall-terrain interactions, while the Xiangning reconstruction links rainfall, stratigraphy, cyclic weakening and engineering disturbance across the full failure sequence.
- Corridor and regional monitoring are becoming multidimensional: Multitrack InSAR reconstructs two-dimensional railway deformation, Baota analysis separates size-dependent landslide associations, and national rock-property maps provide lithology-resolved priors.
- Hazard non-stationarity is being separated by process: Flood types reveal trends hidden in annual maxima, extreme weather enters dynamic debris-flow susceptibility, and global drought indices expose scenario- and variable-dependent drying patterns.
- Negative results are strengthening monitoring practice: The Beijing well study rejects an earthquake interpretation for apparent M2 anomalies and instead demonstrates the need for instrument logs and well-specific baselines.
- Engineering design is shifting toward accumulated deformation: Fault-creep review, rockburst investigation, tunnel and railway studies, and wetting-dependent subgrade mechanics treat damage as an evolving state rather than a one-time load case.
Selected Papers
The October 2 selection is anchored by interpretable shallow-landslide thresholds, a multi-evidence loess-landslide reconstruction, corridor-scale Sichuan-Tibet Railway deformation monitoring and scale-dependent landslide-trace analysis. It also covers process-aware flood frequency, recurring-earthquake synchronization, aquifer-based monitoring limits, fault creep, rockburst, debris-flow susceptibility and landslide-driven sediment pulses. The supporting methods set emphasizes open geomechanical data, site-response characterization, hydrological non-stationarity, physically constrained stress inversion and infrastructure monitoring; title-level records are explicitly bounded.
1. Flood Types Reveal Non-Stationarity in Flood Peaks Masked by Annual-Maximum Series
Core Problem: Annual-maximum flood series can hide opposing trends among rainfall, snowmelt and other flood-generating processes.
Key Innovation: A time-varying mixture model applied to more than 600 European catchments separates flood types and shows that conventional pooled analysis can underestimate 100-year design quantiles by about 15% where heavy-rainfall floods rise while snowmelt floods decline.
2. Evolution Process and Failure Mechanism of a Multi-Factor Coupled Loess Landslide: A Case Study in Xiangning County, China
Core Problem: Rainfall infiltration, loess–palaeosol structure and engineering disturbance can interact across creep, retrogression and post-failure gully adjustment.
Key Innovation: Field mapping, UAV photogrammetry, SBAS-InSAR, cyclic triaxial tests and finite elements reconstruct the 2023 Xiangning failure; the coupled rainfall–vibration scenario forms a connected plastic zone with factor of safety 0.773 and metre-scale toe deformation.
3. An Interpretable Stacking Ensemble Framework for Defining Rainfall-Geoenvironmental Coupling Thresholds of Shallow Landslides
Core Problem: Susceptibility models for extreme-rainfall landslides must resolve nonlinear factor interactions without making the decision basis opaque.
Key Innovation: A Random Forest–XGBoost–LightGBM stack with ridge meta-learning reaches test AUC 0.8935 and captures 90.9% of known failures in the two highest susceptibility classes; SHAP exposes rainfall as the main control and quantifies conditional rainfall–terrain and rainfall–geotechnical thresholds.
4. Corridor−Scale Two−Dimensional Deformation Monitoring and Geohazard Susceptibility Assessment Along the Sichuan-Tibet Railway Using ICA−Enhanced Multitrack InSAR Analysis
Core Problem: Atmospheric contamination and incompatible viewing geometries limit corridor-scale two-dimensional deformation monitoring in the Sichuan–Tibet mountains.
Key Innovation: ICA-enhanced processing of 1,289 Sentinel-1 acquisitions from 14 tracks reduces phase standard deviation by about 70%, reconstructs east–west and vertical motion and identifies 584 potentially vulnerable sites along the railway corridor.
5. Multi-factor spatial associations of landslide traces in a loess hilly-gully region: evidence from Baota District, Loess Plateau
Core Problem: Regional inventories need to distinguish how controlling-factor associations change with landslide-trace size rather than applying one importance ranking to every failure.
Key Innovation: Field and UAV verification are combined with density, area percentage, frequency ratios and GeoDetector; slope dominates several size classes, while stratigraphy, elevation, aspect and river proximity gain importance through distinct interactions at other scales.
6. Rare Synchronization Among Recurring Earthquakes
Core Problem: Neighboring faults occasionally rupture in repeated close succession despite irregular recurrence and external perturbations.
Key Innovation: A phase-dependent interaction threshold derived from fault geometry is tested in simulations, San Andreas repeating-earthquake families and a millennium of Japanese megathrust history, identifying Nankai and Hokkaido segment pairs as uniquely positioned for synchronization.
7. Background Characteristics and Seismic Response of M2 Tidal Parameters in Confined Aquifers of the Beijing Seismic Monitoring Well Network
Core Problem: Confined-well tidal anomalies can be mistaken for earthquake signals when instrumental changes and slow hydrological variation are not separated.
Key Innovation: Nine persistent ≥3σ M2 anomalies across eight Beijing wells are traced to instrument events rather than 14 earthquakes or 41 coseismic water-level responses, establishing well-specific background and maintenance records as prerequisites for precursor interpretation.
8. Fault Creep in Geotechnical Engineering: Research Methods, Engineering Responses, and Mitigation Strategies
Core Problem: Slow fault slip accumulates concealed, localized deformation that conventional one-time offset design does not represent.
Key Innovation: The review connects laboratory, geodetic and numerical methods with effects on slopes, tunnels, pipelines, railways, dams and bridges, and argues for deformation-compatible, zoned and monitorable mitigation rather than resistance to a single prescribed offset.
9. SAPHYR - A nationwide database of intact-rock mechanical properties in Switzerland
Core Problem: National-scale engineering-geology assessment lacks harmonized statistical priors for intact-rock properties across lithologies.
Key Innovation: SAPHYR integrates more than 11,000 standardized tests from 1970–2024, provides lithology-resolved distributions and national maps, and explicitly limits their use to preliminary probabilistic estimates rather than site-specific rock-mass design values.
10. Mechanisms underlying the fracture and deformation of time-delayed rockburst: in-situ investigation in a deep buried tunnel under high geostress
Core Problem: Delayed fracture and deformation under high geostress complicate the interpretation and prevention of deep-tunnel rockburst.
Key Innovation: The verified title, authors and DOI establish an in-situ investigation of delayed rockburst mechanisms; monitoring configuration, failure sequence and quantitative findings cannot be assessed because a reliable abstract was unavailable.
11. Role of extreme weather in dynamic debris flow susceptibility assessment for coastal regions
Core Problem: Static susceptibility maps cannot represent how coastal-region debris-flow controls change during extreme weather.
Key Innovation: The verified title, authors and DOI establish a dynamic susceptibility assessment focused on extreme-weather forcing; study area, predictor dynamics and validation results cannot be assessed because a reliable abstract was unavailable.
12. Landslide-driven sediment pulses and coupled channel-shoreline dynamics in the Amendolea fiumara (southern Calabria, Italy)
Core Problem: Sediment delivered by landslides can propagate through channels and alter downstream shoreline dynamics as a coupled geomorphic response.
Key Innovation: The verified title, authors and DOI establish analysis of landslide-driven sediment pulses in the Amendolea fiumara; event chronology, sediment budgets and quantitative coupling results cannot be assessed because a reliable abstract was unavailable.
13. Magnetic Imaging of the Effect of Stress on the Remanent Magnetization of Basalt
Core Problem: Differential compressional stresses (less than 100 MPa) that do not result in permanent deformation have traditionally been considered insufficient to modify paleomagnetic signals; however, recent numerical predictions have challenged this assumption.
Key Innovation: Using quantum diamond microscopy, we experimentally determined the effects of low differential stresses on the remanent magnetization of columnar basalt samples from Seljadalur, Iceland. We show that although individual magnetic dipoles rotate by up to 40°, the bulk magnetization direction remains largely unchanged.
14. Dust Loading Increases During Topsoil Flash Droughts Under Rapid Surface Drying and Vegetation Stress
Core Problem: Using satellite-derived dust optical depth (DOD), reanalysis meteorology, and a global topsoil flash drought (TSFD) inventory for 2003-2022, we find that TSFD events are associated with increased dust loading at the global scale.
Key Innovation: During TSFD events, 44.7% of land pixels exhibited positive DOD anomalies. SHapley Additive exPlanation (SHAP) analysis showed that DOD variability during TSFD events was more strongly associated with soil moisture, background aridity, and vegetation state than with wind speed.
15. A joint Time-Frequency feature learning method for damage localization and severity assessment of offshore jacket structures
Core Problem: Under prolonged service in complex marine environments, the initiation and propagation of localized damage in offshore jacket platforms are recognized as critical threats to structural integrity.
Key Innovation: To address these limitations, a damage identification framework for jacket structures is proposed, which is grounded in joint time-frequency feature learning. Finally, a prototype-based distance metric and an ordinal constraint are formulated within the fused feature space, through which a continuous damage severity index is generated to achieve a gradient characterization of damage states ranging from incipient to critical.
16. Physics-informed regularized network with dynamic neural operator for reliable response prediction of deep-sea mining systems
Core Problem: Reliable prediction of dynamic responses is fundamental for operational safety assessment and risk management of multi-body offshore systems.
Key Innovation: This paper proposes the Physics-Operator Regularized Transformer Network (PORT-Net) for bending moment prediction in ultra-deep water mining lifting systems. Ablation, hyperparameter robustness, modal interpretability, and cross-validated significance analyses confirm that the framework addresses small-sample learning challenges, providing a reliable computational tool for real-time monitoring and predictive risk assessment in deep-sea mining operations.
17. Numerical modelling of submerged vegetation as a Nature-based Solution for coastal protection
Core Problem: Nature-based Solutions are increasingly considered for protecting eroding coasts, yet the conversion of wave attenuation by submerged vegetation into a measurable reduction of nearshore erosion remains only partly quantified.
Key Innovation: This work presents a phase-resolving Boussinesq-type hydro-morphodynamic model, with a canopy-flow vegetation submodule, that simulates wave attenuation, sediment transport and cross-shore morphology evolution. Wave attenuation is shown not to translate one-to-one into protection of the profile, a dependence best quantified with the process-based model presented in this work.
18. Experimental investigation and prediction models for vibration-flow coupled scour around pile-bucket foundations
Core Problem: The pile-bucket foundation, which integrates the benefits of monopile and bucket designs, offers enhanced bearing capacity and deformation control, making it suitable for large-capacity offshore wind turbines.
Key Innovation: This study systematically investigates the effects of vibration amplitude, frequency, and flow velocity on scour depth around pile-bucket foundations under vibration-flow coupling. Furthermore, four machine learning models were developed, among which the data-driven multilayer perceptron model achieved the highest prediction accuracy (R² = 0.9426) within the investigated experimental domain.
19. Extreme events of 2024 in the Tropical Indian Ocean: leveraging heterogeneous multi-platform observations from NODC-INCOIS
Core Problem: Frequent tropical cyclones in the North Indian Ocean significantly disrupt coastal and marine environments.
Key Innovation: This study integrates multi-platform datasets - including satellites, Argo floats, moored buoys, and tide gauges - to analyze the ocean‒atmosphere response to four 2024 cyclones: Remal, Asna, Dana, and Fengal. This integrated approach is vital for understanding complex air‒sea interactions and improving future cyclonic predictability.
20. Assessing Global Drought Trends Under Climate Change: A Comparative Analysis of Four Drought Indices Across SSP Scenarios
Core Problem: As climate change intensifies, global droughts are becoming more frequent and severe, making the assessment of future drought trends essential for disaster risk reduction and adaptation.
Key Innovation: DSI responded more strongly to changes in temperature and precipitation, suggesting its potential usefulness for characterizing short-term dry conditions in temperate and subtropical regions. These findings may inform model-based drought assessment, while implications for operational monitoring require independent evaluation.
21. Satellite-Only 3D Digitization of Hundred-Kilometer-Scale High-Voltage Transmission Lines
Core Problem: Three-dimensional models of large-scale transmission lines are essential for grid visualization, patrol planning, and emergency simulation.
Key Innovation: We propose a satellite-imagery-based framework to address this challenge. Quantitative results show that our method achieves 93.8% model accuracy rate within seconds, reduces data cost by 93.4%, and improves model qualification rate by 48 percentage points compared with UAV LiDAR-based methods.
22. Geological features and geotechnical characterization of Aegadian Islands for the evaluation of site effects
Core Problem: This paper investigates the geotechnical and dynamic characteristics of the soils in the Aegadian Islands (Sicily, Italy), an archipelago comprising the main islands of Favignana, Levanzo and Marettimo.
Key Innovation: In the second approach, the latest seismic event to hit the investigated area was used and a deconvolution analysis was performed. The results of this work provide valuable information for the development of urban planning for the seismic risk reduction in the Aegadian Islands.
23. Engineering Bedrock and Basin Geometry beneath Gorontalo City from Joint Inversion of Surface Waves
Core Problem: Gorontalo City, located on the northern arm of Sulawesi within a tectonic depression filled by paleo-Limboto Lake deposits, contains extensive soft-soil areas, with MASW-derived V S 30 values of 131.4-173.6 m/s and about 36% of the city classified as site class E.
Key Innovation: Ongoing urban growth and infrastructure development in Gorontalo highlight the need for earthquake hazard mitigation through a better understanding of subsurface conditions and local site effects. The results provide a useful subsurface framework for future site-response analysis and seismic microzonation, thereby supporting earthquake-risk reduction efforts in the tectonically active Gorontalo region.
24. Improving global rainfall erosivity estimates from IMERG using machine learning-based error correction
Core Problem: Title-level focus: Improving global rainfall erosivity estimates from IMERG using machine learning-based error correction.
Key Innovation: The verified title, authors and DOI establish the study scope; methods, results and quantitative validation cannot be assessed because a reliable abstract was unavailable.
25. A physics-guided deep learning method for construction-induced settlement prediction during pipe-roof underpassing of an operating high-speed railway
Core Problem: Title-level focus: A physics-guided deep learning method for construction-induced settlement prediction during pipe-roof underpassing of an operating high-speed railway.
Key Innovation: The verified title, authors and DOI establish the study scope; methods, results and quantitative validation cannot be assessed because a reliable abstract was unavailable.
26. Deformation parameters for the Bi-Elliptical Displacement-Controlled Method and related tunnel deformation modes
Core Problem: Displacement-controlled tunnel analysis requires deformation parameters that distinguish characteristic modes rather than reducing response to one scalar convergence measure.
Key Innovation: The verified title, authors and DOI establish a Bi-Elliptical Displacement-Controlled Method and associated tunnel deformation modes; mathematical formulation, calibration and quantitative validation cannot be assessed because a reliable abstract was unavailable.
27. Research on grouting reinforcement and seismic response of a grid-type tunnel anchorage in soft rock conditions
Core Problem: Title-level focus: Research on grouting reinforcement and seismic response of a grid-type tunnel anchorage in soft rock conditions.
Key Innovation: The verified title, authors and DOI establish the study scope; methods, results and quantitative validation cannot be assessed because a reliable abstract was unavailable.
28. Hydrological flux effectiveness index for assessing rainfall partitioning and hydrological functioning under climate change
Core Problem: This study proposes a novel Hydrological Flux Effectiveness Index (HFEI) to quantify rainfall partitioning effectiveness and evaluate watershed hydrological functioning under changing climatic conditions.
Key Innovation: The index is formulated using four dimensionless hydrological ratios derived from Soil and Water Assessment (SWAT) simulated fluxes: evaporation loss ratio (ELR), surface runoff to water yield ratio (SWR), recharge ratio (RR), and base-flow contribution ratio (BCR). Ensemble results indicate robust but spatially variable climate-driven shifts in hydrological partitioning.
29. Three-dimensional in-situ stress inversion from hydraulic fracturing measurements: A physically constrained Bayesian optimization approach with S H -azimuth consistency
Core Problem: Three-dimensional stress inversion from hydraulic-fracturing measurements must honor the observed maximum-horizontal-stress azimuth while handling a sparse, uncertain inverse problem.
Key Innovation: The verified title, authors, PII and Crossref DOI establish a Bayesian-optimization inversion with SH-azimuth consistency; objective functions, uncertainty treatment and validation results cannot be assessed because a reliable abstract was unavailable.
30. Wetting-history-dependent mechanical damage of unsaturated floodplain subgrade soil: strength-stiffness degradation and a unified piecewise constitutive model
Core Problem: Title-level focus: Wetting-history-dependent mechanical damage of unsaturated floodplain subgrade soil: strength-stiffness degradation and a unified piecewise constitutive model.
Key Innovation: The verified title, authors and DOI establish the study scope; methods, results and quantitative validation cannot be assessed because a reliable abstract was unavailable.
31. Lateral global buckling response of submarine pipelines considering soil spatial variability
Core Problem: Submarine pipelines are prone to global buckling under high-temperature and high-pressure conditions, where soil resistance plays a critical role.
Key Innovation: Based on this model, the effects of soil resistance distribution patterns on buckling modes and evolution are systematically investigated, and the differences in global buckling response between uniform and non-uniform soil resistance cases are compared, while the influence of soil spatial variability on buckling amplitude and critical axial force is quantified. These findings link sequential buckling characteristics to practical mitigation by guiding the identification of buckle-prone zones and the targeted deployment of buckle-initiation or reinforcement measures under spatially variable seabed conditions.
32. Acid-induced geochemical and geomechanical deterioration of Siwalik sandstone: an experimental study
Core Problem: This study presents an experimental investigation of the geomechanical, geochemical, and microstructural response of Shivalik sandstone under acidic environments.
Key Innovation: The findings contribute to improved understanding of rock behaviour in chemically aggressive environments and may be useful for geotechnical and subsurface engineering applications.
33. Bolt Support Mechanisms and Optimization for Splitting Failure in Deep Caverns
Core Problem: Deep high sidewall caverns excavated under high in-situ stress conditions are susceptible to splitting failure, which compromises structural stability and challenges conventional support theories.
Key Innovation: This study investigates the reinforcement mechanism of rock bolts and cables under such conditions, addressing the gap between engineering practice and theoretical development-particularly the lack of composite-based approaches that treat the bolts-rock system as the matrix, with bolts and cables acting as reinforcing fibers. The model is implemented in FLAC 3D to simulate the excavation and support processes of the main cavern at Pubugou Hydropower Station, and results are compared with measurements from physical model tests to assess consistency.