TerraMosaic Daily Digest: May 27, 2026
Daily Summary
May 27 is led by papers that make failure and hazard dynamics more directly observable. The landslide cluster is unusually concrete: a 10,310-event large-landslide inventory resolves spatial controls on the eastern Qinghai-Tibet Plateau; a super-resolution framework accelerates debris-flow runout fields; a 3D difference model separates coseismic landslide erosion from on-slope deposition; and loess, red-clay, serac, and liquefaction failures are treated as coupled hydrological, thermal, or kinematic processes. Across these studies, the object of analysis shifts from a mapped failure scar to the pathway by which material becomes mobile.
The broader geohazard papers extend that same measurement logic to earthquakes, volcanoes, extreme precipitation, cryosphere change, and underground infrastructure. Stopping phases expose abrupt rupture arrest in large strike-slip earthquakes; upper-mantle earthquakes beneath East Antarctica test intraplate geodynamic expectations; matrix imaging reconstructs deep volcanic plumbing; and the Nanling wet-June study ties an extreme rainfall anomaly to large-scale circulation. The remote-sensing and AI papers are strongest when they preserve physical meaning: snow-depth gap filling, groundwater-storage attribution, safe reservoir control, tunnel sensor placement, high-resolution weather forecasting, and optical-SAR registration all convert difficult environmental states into variables that can support warning, design, or exposure assessment.
Key Trends
The selected papers converge on five methodological movements: mobility-aware landslide science, process observables for seismic and volcanic hazards, multi-state hydroclimate monitoring, coupled infrastructure mechanics, and physically grounded AI for sensor-rich geoscience.
- Landslide analysis is moving from inventory to mobility and sediment accounting: The Qinghai-Tibet inventory, super-resolution debris-flow model, Kaikoura volumetric difference model, loess tunnel-erosion experiments, seasonal-frozen red-clay slope model, and serac-fall benchmark each ask not only where failure occurred, but how mass moves, stores, or remobilizes.
- Seismic and volcanic studies are isolating hidden process observables: Stopping phases, upper-mantle earthquake occurrence, matrix imaging, automated volcanic-event recognition, microseismic rockburst prediction, and offshore fault-slip well-barrier modelling all identify signals that reveal rupture, deep structure, rock failure, or geohazard loading before consequences become obvious.
- Hydroclimate hazard work is becoming multi-state rather than index-only: Flood reconstruction, hourly flood forecasting, drought feature spaces, snow-depth fusion, extreme-rainfall circulation analysis, groundwater storage decline, lake storage, reservoir operation, and sea-level/storm-surge scenarios treat water hazards as evolving states with uncertainty and controls.
- Infrastructure geohazard modelling is coupling environmental boundary conditions with mechanical response: Metro flood resilience, tunnel geological detection, CAES cavern drainage, seabed poroelastic response, tunnel consolidation, frost heave, offshore scour, coral-sand bearing capacity, loess improvement, and buffer-block hydro-mechanics all link site conditions to design-relevant deformation or failure.
- AI contributes most where it is constrained by sensors, geometry, or physics: FLORO, high-resolution weather forecasting, PEAR, asynchronous remote-sensing fusion, terrain segmentation, PINN tunnel sensor placement, PINN granite fracturing, transfer-learning soil-parameter inversion, and optical-SAR registration are valuable because they improve transfer or observability under physical and sensor constraints.
Selected Papers
This issue contains 67 selected papers from 1,733 papers analyzed. The leading papers focus on observable failure dynamics: a 10,310-event large-landslide inventory, super-resolution debris-flow runout, abrupt rupture arrest in strike-slip earthquakes, volumetric coseismic-landslide sediment accounting, loess-slope tunnel erosion, seasonal-frozen red-clay slope instability, liquefaction-induced wall flow failure, serac-fall change detection, volcanic matrix imaging, Antarctic ice-sheet threshold behaviour, and upper-mantle earthquakes beneath East Antarctica. The wider set links flood reconstruction, extreme-rainfall circulation, drought and flood forecasting, snow-depth mapping, groundwater and lake storage, reservoir control, metro and tunnel resilience, freeze-thaw rock damage, offshore scour, unsaturated-soil hydro-mechanics, geospatial foundation models, high-resolution weather AI, remote-sensing time-series fusion, optical-SAR registration, and oil-spill segmentation into methods useful for hazard assessment and infrastructure design.
1. Remote sensing and GIS‐based statistical analysis of the spatial distribution of 10 310 large landslides in the eastern margin of the Qinghai‐Tibet Plateau
Core Problem: Large landslide hazard on the eastern Qinghai-Tibet Plateau requires a spatially complete inventory and quantitative controls on where failures concentrate.
Key Innovation: Earth Surface Processes and Landforms maps 10,310 large landslides from remote sensing and GIS, linking their distribution to relief, lithology, rainfall, vegetation, hydrology, faults, rivers, and roads.
2. Accelerating high-fidelity debris-flow modeling with a super-resolution deep-learning framework
Core Problem: High-resolution debris-flow runout simulation is too slow for regional emergency use when direct fine-grid modelling is required.
Key Innovation: Engineering Geology trains a multi-task super-resolution framework that reconstructs fine-grid flow depth, velocity, and inundation extent from coarse numerical simulations with large speed-ups.
3. Stopping phase reveals abrupt arrest of large strike-slip earthquakes
Core Problem: Earthquake magnitude and near-fault shaking depend on how rupture stops, but rupture arrest is rarely observed directly in natural events.
Key Innovation: Science identifies stopping phases in near-field records of large strike-slip earthquakes and links displacement overshoot to abrupt rupture arrest and internal segment boundaries.
4. Difference model quantification of coseismic landslide erosion and deposition to improve connectivity metrics after the 2016 Kaikōura earthquake
Core Problem: Two-dimensional landslide connectivity metrics can overstate sediment delivery after earthquakes because they do not distinguish erosion from on-slope deposition.
Key Innovation: Geomorphology uses a 2 m vertical difference model after the 2016 Kaikoura earthquake to quantify landslide erosion, debris storage, and channel delivery volumetrically.
5. Experimental and simulation study on the failure mode of loess slope in tunnel environment
Core Problem: Tunnel erosion is a key control on Loess Plateau landslides, yet its coupling with water infiltration and progressive slope failure remains under-tested.
Key Innovation: Earth Surface Processes and Landforms combines slope-model experiments and numerical simulation to resolve how tunnel diversion, rising water pressure, fissuring, and block compression drive loess-slope failure.
6. The instability mechanism of red-clay slope in seasonal frozen area of Qinghai-Tibet Plateau under warm and humid climate
Core Problem: Warming and humidification threaten red-clay slopes in seasonal frozen terrain, but the coupled instability mechanism is not well constrained.
Key Innovation: Cold Regions Science and Technology integrates finite-element limit equilibrium with hydrothermal coupling to show how warming-humidifying climate lowers safety factors and amplifies rainfall-triggering capacity.
7. Liquefaction-induced flow failure of a highway cantilever wall following the February 6, 2023 Kahramanmaraş-Türkiye earthquake sequence
Core Problem: Earthquake-induced liquefaction can transform retaining-wall distress into flow failure, but case-based mechanisms remain essential for design calibration.
Key Innovation: Soil Dynamics and Earthquake Engineering analyzes the Kahramanmaras earthquake sequence to connect liquefaction, wall response, and highway cantilever-wall failure.
8. Revisiting Change Detection Methods for their Application to Serac Fall Time-Lapse Monitoring
Core Problem: Serac falls are difficult to monitor at scale because visual precursors occur under strong illumination, geometry, and data-scarcity constraints.
Key Innovation: The arXiv study defines volumetric change detection for serac-fall time-lapse monitoring, releases SeracFallDet annotations, and benchmarks dense and semi-dense matching methods.
9. Matrix imaging as a tool for high-resolution monitoring of deep volcanic plumbing systems with seismic noise
Core Problem: Deep magma and hydrothermal storage are hard to image because complex volcanic heterogeneity disrupts standard seismic migration.
Key Innovation: The arXiv paper applies matrix imaging to seismic noise at La Soufriere, recovering deep internal structure at high resolution and proposing a monitoring route for volcanic observatories.
10. Increased sensitivity of the Antarctic Ice Sheet to decreasing CO2 across the Mid-Pleistocene Transition
Core Problem: Future sea-level risk depends on whether Antarctic ice volume responds nonlinearly to greenhouse-gas forcing.
Key Innovation: Nature Geoscience uses transient ice-sheet simulations over three million years to identify a nonlinear sensitivity shift in Antarctic ice-sheet growth below about 240 ppm CO2.
11. Upper-mantle earthquakes beneath East Antarctica
Core Problem: Earthquakes within stable Antarctic upper mantle are rare but important tests of intraplate geodynamic models.
Key Innovation: Science reports upper-mantle earthquakes beneath East Antarctica, adding direct seismic constraints on how polar cratonic lithosphere accommodates stress.
12. LSTM multivariate model based microseismic time-series prediction and rockburst early warning
Core Problem: Rockburst warning in deep underground engineering requires short-term prediction of microseismic evolution before dynamic failure.
Key Innovation: Frontiers in Earth Science applies an LSTM multivariate model to microseismic time series for rockburst early warning.
13. Systematic mapping study: automatic recognition and localization of volcanic seismic events
Core Problem: Volcano monitoring depends on recognizing and localizing many seismic event types under noisy, site-specific conditions.
Key Innovation: Frontiers in Earth Science systematically maps methods for automatic recognition and localization of volcanic seismic events.
14. Mechanical integrity of cement sheath barriers in deepwater wells under earthquake-induced fault slip: A three-dimensional finite-element study for offshore geohazard conditions
Core Problem: Deepwater well barriers can fail when seismic formation slip imposes asymmetric shear on the casing-cement-formation system.
Key Innovation: Ocean Engineering builds a 3D finite-element model to evaluate tensile cracking, shear failure, and interfacial separation of cement sheaths under offshore geohazard loading.
15. Was the 1870 CE flood the largest historical event in the middle Yangtze? Evidence from new slackwater deposits
Core Problem: Extreme-flood frequency estimates require independent evidence for whether historical floods exceed instrumental records.
Key Innovation: Catena uses new slackwater deposits to test whether the 1870 CE middle Yangtze flood was the largest historical event.
16. Geomorphic signatures in relation to seismo-tectonic studies of Kameng watershed, NE Himalaya
Core Problem: Active Himalayan watersheds require geomorphic indicators that connect topography, tectonics, and seismic-hazard context.
Key Innovation: Catena analyzes geomorphic signatures in the Kameng watershed to support seismo-tectonic interpretation in the northeastern Himalaya.
17. An exceptional wet June over the Nanling Mountains in South China in 2022: link to anomalous cyclonic circulation over the West Siberian Plain
Core Problem: Exceptional wet-season rainfall in mountain regions requires attribution to large-scale circulation anomalies for better flood-risk interpretation.
Key Innovation: Frontiers in Earth Science links the anomalously wet June 2022 over the Nanling Mountains to cyclonic circulation over the West Siberian Plain.
18. Characterization of Deformation Driven by the South-to-North Water Diversion and Extreme Rainfall Along the Taihang Piedmont Using Time-Series InSAR
Core Problem: Large water-transfer projects and extreme rainfall can jointly alter ground deformation in piedmont regions.
Key Innovation: Remote Sensing characterizes Taihang Piedmont deformation using time-series InSAR to separate infrastructure-linked and rainfall-linked deformation patterns.
19. The First Relative Sea Level Rise and Storm Surges Scenarios up to 2150 CE for the Coasts of Monterosso and Vernazza, Cinque Terre National Park (Liguria, Italy)
Core Problem: Local coastal-risk planning needs relative sea-level and storm-surge scenarios beyond global mean sea-level projections.
Key Innovation: Remote Sensing develops relative sea-level rise and storm-surge scenarios to 2150 for Monterosso and Vernazza in Cinque Terre National Park.
20. Reduction of tropical cyclone-induced ocean carbon outgassing since 1993
Core Problem: Tropical cyclones perturb upper-ocean mixing and air-sea CO2 exchange, but the global carbon-cycle effect has been difficult to quantify.
Key Innovation: Nature Geoscience synthesizes observations to show declining tropical-cyclone-induced ocean carbon outgassing since 1993 and potential future shifts toward net uptake.
21. Diminished Ross Ice Shelf and West Antarctic Ice Sheet during Last Interglacial warming
Core Problem: The contribution of West Antarctica to Last Interglacial high sea level remains uncertain.
Key Innovation: Nature Geoscience combines ice-core dust provenance with Earth-system modelling to infer diminished Ross Ice Shelf and West Antarctic Ice Sheet extent during Last Interglacial warming.
22. A strengthened and southward-shifted westerly jet mitigates warming-induced drying across Asian drylands
Core Problem: Dryland water stress under warming depends on how large-scale circulation modulates precipitation and evapotranspiration.
Key Innovation: Science Advances shows that a strengthened and southward-shifted Southern Hemisphere westerly jet mitigates warming-induced drying across Asian drylands.
23. Cross‐Seasonal Impacts of the Atlantic Niño on Arctic Winter Surface Air Temperature
Core Problem: Arctic winter temperature anomalies are often attributed to ENSO, while Atlantic tropical forcing remains underused in prediction.
Key Innovation: Geophysical Research Letters links summer Atlantic Nino anomalies to autumn circulation adjustment, stratospheric storage, and winter Arctic surface-temperature dipoles.
24. Amplified Decline in Arctic Atmospheric Stability Under Arctic Warming
Core Problem: Arctic warming can change atmospheric stability and thereby alter turbulent mixing and weather extremes.
Key Innovation: Geophysical Research Letters uses reanalysis to show amplified decline in Arctic atmospheric stability under Arctic warming.
25. Advancing drought monitoring with a three-dimensional feature space framework
Core Problem: Drought monitoring needs to represent drought extent, intensity, and evolution jointly instead of relying on one-dimensional indices.
Key Innovation: Journal of Hydrology advances drought monitoring with a three-dimensional feature-space framework.
26. Temporal inductive biases in hourly flood forecasting: a comparative analysis of recurrent, attention-based, and state-space neural networks
Core Problem: Hourly flood forecasting depends on model temporal memory, but recurrent, attention-based, and state-space architectures encode hydrological persistence differently.
Key Innovation: Journal of Hydrology compares temporal inductive biases across modern sequence models for flood prediction.
27. Bridging temporal and spatial gaps in passive microwave observations for global snow depth estimation
Core Problem: Passive microwave snow-depth records contain temporal and spatial gaps that limit cryosphere and hydrological applications.
Key Innovation: International Journal of Applied Earth Observation and Geoinformation bridges passive-microwave observation gaps for global snow-depth estimation.
28. Coupled Human–Climate drivers of groundwater storage decline in an arid inland river basin
Core Problem: Groundwater storage decline in arid basins is driven by interacting climate variability and human water use.
Key Innovation: International Journal of Applied Earth Observation and Geoinformation attributes groundwater storage decline in an arid inland river basin to coupled human-climate controls.
29. Quantifying long-term water storage in Ebinur Lake through integration of multi-source satellite data and hydrological observations
Core Problem: Long-term lake storage changes are difficult to quantify where in situ water-level observations are sparse.
Key Innovation: International Journal of Applied Earth Observation and Geoinformation integrates multi-source satellite data and hydrological observations to estimate long-term water storage in Ebinur Lake.
30. A two-layer safe reinforcement learning framework for multi-constraint reservoir operation: Integrating action masking and lagrangian dual method
Core Problem: Reservoir management must balance flood control, ecological, and operational constraints without unsafe exploratory actions.
Key Innovation: Journal of Hydrology proposes a two-layer safe reinforcement learning framework with action masking and Lagrangian dual methods for multi-constraint reservoir operation.
31. Large-scale evaluation of long-term water conservation capacity dynamics using satellite images
Core Problem: Water-conservation capacity varies over long periods and large regions, but field monitoring is often sparse.
Key Innovation: Journal of Hydrology evaluates long-term water-conservation capacity dynamics using satellite imagery.
32. Performance and resilience assessment of a prefabricated metro station excavation using retaining structures as permanent elements
Core Problem: Prefabricated metro-station excavations must be evaluated not only for construction safety but also for operational resilience.
Key Innovation: Tunnelling and Underground Space Technology assesses prefabricated metro-station excavation using retaining structures as permanent elements.
33. Enhancing metro system resilience under flood using multi-layer complex networks
Core Problem: Metro systems fail through coupled infrastructure and service networks during flood events.
Key Innovation: Tunnelling and Underground Space Technology models metro-system flood resilience using multilayer complex networks.
34. Active learning with physics-informed neural networks for optimal sensor placement in deep tunneling through transversely isotropic elastic rocks
Core Problem: Deep tunnel monitoring requires sensor locations that are informative under anisotropic elastic-rock response.
Key Innovation: Tunnelling and Underground Space Technology combines active learning with physics-informed neural networks for optimal sensor placement in deep tunnelling.
35. Prediction of surrounding rock wave velocity from cutterhead-induced vibrations for advanced geological detection in shield tunnelling
Core Problem: Advance geological detection in shield tunnelling needs low-disruption sensing of surrounding-rock properties ahead of the face.
Key Innovation: Tunnelling and Underground Space Technology predicts surrounding-rock wave velocity from cutterhead-induced vibrations.
36. Freeze–thaw effect on micro-macro fracture in brittle rocks under compression
Core Problem: Cold-region rock masses degrade through coupled micro- and macro-fracturing during freeze-thaw cycles.
Key Innovation: International Journal of Rock Mechanics and Mining Sciences quantifies freeze-thaw effects on brittle-rock fracture under compression.
37. Joint inversion of tilt, strain, and fluid pressure data for simultaneous mapping of hydraulic fracture orientation and dimensions
Core Problem: Fracture orientation and dimensions are difficult to infer from any single monitoring signal.
Key Innovation: International Journal of Rock Mechanics and Mining Sciences jointly inverts tilt, strain, and fluid-pressure data to map hydraulic-fracture orientation and dimensions.
38. Incremental dynamic analysis via hierarchical Bayesian modelling for efficient seismic fragility analysis and uncertainty quantification
Core Problem: Seismic fragility analysis is computationally expensive when uncertainty must be propagated through dynamic structural response.
Key Innovation: Reliability Engineering & System Safety uses hierarchical Bayesian modelling to make incremental dynamic analysis more efficient and uncertainty-aware.
39. FLORO: A Multimodal Geospatial Foundation Model for Ecological Remote Sensing Across Sensors and Scales
Core Problem: Environmental remote sensing needs transferable representations across sensors, spatial resolutions, and modality availability.
Key Innovation: The arXiv paper introduces FLORO, a multimodal geospatial foundation model using availability-aware inputs across Sentinel, SkySAT, elevation, and UAV data.
40. Skillful high-resolution weather forecasting independent of physical models
Core Problem: Skillful high-resolution weather prediction usually depends on expensive physical-model pipelines.
Key Innovation: The arXiv paper develops high-resolution weather forecasting independent of physical models, with clear transfer value for hazard nowcasting and boundary-condition generation.
41. Hydraulic response of drainage systems in steel-lined CAES caverns: A numerical study for maintenance conditions
Core Problem: Compressed-air energy-storage caverns require drainage systems that remain stable under maintenance conditions.
Key Innovation: Tunnelling and Underground Space Technology numerically studies hydraulic response in steel-lined CAES cavern drainage systems.
42. Micromechanical failure characteristics of coral reef limestone: Insights from combined miniature testing and real-structure-based simulation
Core Problem: Coral reef limestone can host coastal and offshore foundations, but its real-structure-controlled failure behaviour is poorly constrained.
Key Innovation: International Journal of Rock Mechanics and Mining Sciences combines miniature testing with real-structure-based simulation to resolve micromechanical failure.
43. Micro-scale experimental insights into the hydro-mechanics of unsaturated granular materials: an X-ray tomography study
Core Problem: Unsaturated soil behaviour is controlled by pore-scale water distribution that bulk tests cannot observe directly.
Key Innovation: Computers and Geotechnics uses X-ray tomography to study micro-scale hydro-mechanical response of unsaturated granular materials.
44. An improved phase-field model for compression-shear fracture in heterogeneous block-matrix geomaterials
Core Problem: Heterogeneous geomaterials fail through mixed compression-shear fracture modes that are difficult to model continuously.
Key Innovation: Computers and Geotechnics improves a phase-field model for compression-shear fracture in heterogeneous block-matrix geomaterials.
45. A physics-informed neural network framework for wave-induced dynamic response in a poroelastic seabed
Core Problem: Wave-induced seabed response affects offshore foundation and pipeline stability but is costly to simulate repeatedly.
Key Innovation: Computers and Geotechnics proposes a physics-informed neural network framework for wave-induced dynamic response in poroelastic seabeds.
46. Two-dimensional Nonlinear Consolidation of Soft Soils around Tunnels Considering Soil Arching Effect: An Efficient Lagged-Coefficient ADI Finite Difference Approach
Core Problem: Soft-soil consolidation around tunnels is nonlinear and affected by soil arching, complicating long-term settlement prediction.
Key Innovation: Computers and Geotechnics develops an efficient lagged-coefficient finite-difference approach for nonlinear consolidation around tunnels.
47. A novel electromagnetic-thermal–mechanical (ETM) computational framework integrating physics-informed neural network for simulating microwave-induced fracturing of granite
Core Problem: Microwave rock fracturing involves coupled electromagnetic, thermal, and mechanical fields that are difficult to simulate efficiently.
Key Innovation: Computers and Geotechnics integrates physics-informed neural networks into an electromagnetic-thermal-mechanical computational framework.
48. Intelligent inversion of soil mechanical parameters driven by impact penetration data: An explainable transfer learning method
Core Problem: Inferring soil mechanical parameters from impact penetration data requires generalization across sites and loading conditions.
Key Innovation: Computers and Geotechnics uses explainable transfer learning for intelligent inversion of soil mechanical parameters.
49. Numerical study on path dependence in transient unloading of rock masses under non-hydrostatic pressure
Core Problem: Excavation and rapid unloading can trigger path-dependent deformation in rock masses under non-hydrostatic stress.
Key Innovation: Computers and Geotechnics numerically studies path dependence during transient unloading of rock masses.
50. Stabilized reduced integration strategies for equal-order finite elements in various biot formulations of dynamic poromechanics
Core Problem: Dynamic coupled poromechanical simulations can suffer instability when equal-order finite elements are used.
Key Innovation: Computers and Geotechnics develops stabilized reduced-integration strategies for Biot dynamic poromechanics.
51. Pore-scale investigation of pore structure characteristics and their impact on thermo-hydraulic coupled transport in unsaturated bentonite: From fractal reconstruction to direct numerical simulation
Core Problem: Thermo-hydraulic transport in bentonite barriers depends on pore structure that must be reconstructed across scales.
Key Innovation: Computers and Geotechnics links fractal pore reconstruction with direct numerical simulation of coupled transport.
52. Dynamic failure characteristics of coral reef limestone with inclined growth lines: insights from DEM–FDM coupled SHPB simulations
Core Problem: Growth-line fabric can make coral reef limestone dynamically anisotropic under impact or seismic loading.
Key Innovation: Computers and Geotechnics uses DEM-FDM coupled SHPB simulations to study dynamic failure characteristics.
53. Interface-enriched generalized finite element method for the coupled hydro-mechanical analysis of piecewise homogeneous porous media
Core Problem: Hydro-mechanical response across material interfaces is difficult to resolve in piecewise homogeneous porous media.
Key Innovation: Computers and Geotechnics introduces an interface-enriched generalized finite-element method for coupled analysis.
54. An improved model for frost heave ratio of saturated silty clay: experimental and numerical investigations
Core Problem: Frost heave in saturated silty clay requires practical models that connect laboratory behaviour with numerical prediction.
Key Innovation: Transportation Geotechnics proposes an improved frost-heave ratio model supported by experimental and numerical analysis.
55. Scour assessment around offshore wind monopile using EFA testing and Delft-3D numerical modeling
Core Problem: Scour around monopiles can undermine offshore wind foundations under waves and currents.
Key Innovation: Soils and Foundations combines EFA testing and Delft3D numerical modelling to assess scour around offshore wind monopiles.
56. Shear failure surface and bearing capacity calculation model for coral sand foundations with high internal friction angles
Core Problem: Coral-sand foundations have high internal friction angles and failure geometries that differ from standard sands.
Key Innovation: Soils and Foundations develops a shear-failure-surface and bearing-capacity calculation model for coral sand foundations.
57. Volumetric, strength and microstructural characteristics of expansive soil modified by lignin fibers and fly ash
Core Problem: Expansive soils threaten subgrades and foundations through moisture-sensitive swelling and shrinkage.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering tests lignin fibers and fly ash for volumetric, strength, and microstructural improvement.
58. Impact of physical heterogeneity on hydro-mechanical behaviors in full-scale buffer blocks for HLRW repositories
Core Problem: High-level radioactive-waste buffer blocks must retain predictable hydro-mechanical behaviour despite full-scale heterogeneity.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering evaluates the impact of physical heterogeneity on full-scale buffer-block response.
59. Characterizing soil shrinkage and soil-water retention behaviors of clayey soils with pore-size distribution and microstructure evolution
Core Problem: Clayey-soil shrinkage and water retention depend on evolving pore-size distributions and microstructure.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering characterizes soil shrinkage and retention behaviour through microstructural evolution.
60. Measurement performance of six different actively-heated fiber-optic soil water content sensors: Numerical simulations and in situ applications
Core Problem: Spatial soil-water monitoring requires sensors that can operate across field conditions with known measurement performance.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering compares six actively heated fiber-optic soil-water sensors using numerical and in situ tests.
61. Borehole breakout in heterogeneous rocks using improved Voronoi model: Laboratory test and discrete element modeling
Core Problem: Borehole breakout patterns can reveal stress but are complicated by rock heterogeneity.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering combines laboratory tests and improved Voronoi DEM modelling for breakout analysis.
62. Composite-improved loess with fly ash-based solid waste materials
Core Problem: Loess foundations require sustainable improvement methods that reduce collapse and deformation risk.
Key Innovation: Journal of Rock Mechanics and Geotechnical Engineering studies fly-ash-based solid-waste materials for composite-improved loess.
63. Asynchronous Remote Sensing Time-Series Fusion for Cloud Removal and Anytime Reconstruction
Core Problem: Operational hazard mapping needs usable time series despite clouds, asynchronous sensors, and missing observations.
Key Innovation: The arXiv paper proposes asynchronous remote-sensing time-series fusion for cloud removal and anytime reconstruction.
64. Trinity: Unifying Class-Agnostic Terrain and Semantic Segmentation for Unstructured Outdoor Environments by Leveraging Synthetic Data
Core Problem: Hazard response and field robotics need terrain-aware segmentation in unstructured environments where labelled data are limited.
Key Innovation: The arXiv paper unifies class-agnostic terrain and semantic segmentation using synthetic-data leverage.
65. PEAR: Equal Area Weather Forecasting on the Sphere
Core Problem: Global weather models must avoid geometric distortion when learning on the sphere.
Key Innovation: The arXiv PEAR framework uses equal-area weather forecasting on the sphere to improve geometry-aware forecast learning.
66. A Multi-Level Cross-Modal Edge Filtering Method for High-Resolution Optical-SAR Image Registration
Core Problem: Rapid disaster mapping often requires registering high-resolution optical and SAR images with strong modality differences.
Key Innovation: Remote Sensing proposes a multi-level cross-modal edge-filtering method for optical-SAR image registration.
67. Oil Spill Segmentation in Marine Radar Imager via an Enhanced GA-RBF-MBO Hybrid Approach
Core Problem: Oil-spill response depends on robust segmentation in noisy marine radar imagery.
Key Innovation: Remote Sensing improves marine-radar oil-spill segmentation with an enhanced GA-RBF-MBO hybrid approach.