TerraMosaic Daily Digest: July 6, 2026
Daily Summary
The July 6 literature is anchored by rainfall, slope, and infrastructure problems rather than by a single dominant landslide case study. The clearest hazard-facing contribution is the São Paulo convection-permitting experiment, which shows that urban land-use representation and physical-parameterization choices materially affect simulations of an extreme rainfall event associated with floods, stream overflow, landslides, fatalities, and city-scale disruption. A systematic review of rainfall-induced slope stability modeling then places that problem in a broader geotechnical frame, showing how deterministic factor-of-safety calculations have been extended through coupled hydro-mechanical, probabilistic, and hybrid machine-learning frameworks. Tailings impoundment stability adds a second high-consequence slope thread, focusing on how waste-rock inclusions alter static liquefaction potential and upstream impoundment integrity.
The engineering papers are methodologically useful because they stay close to failure modes: cyclic clay response for offshore foundations, saturated subgrade deformation under multi-directional traffic loading, soft-story seismic behavior, tunnel lining cracking and rehabilitation, pipe-roof settlement control, rockbolt degradation, squeezing-rock support, expansive-soil freeze-thaw migration, bentonite desiccation, and fracture or pore-network flow in rock. These studies are not all landslide papers, but they strengthen the mechanics basis for interpreting ground deformation, underground infrastructure exposure, and post-event reliability.
The remote-sensing and AI layer is broad but selectively relevant. Sentinel-1 displacement error budgeting for the 2025 Dingri earthquake, MambaRefine-CD, WCMNet, MambaDIP, LCPNet, roadwork geolocation, traffic-object segmentation, and underground-tunnel detection all improve components of disaster exposure or response mapping. On the climate and hydrology side, tropical-cyclone studies, a 10,000-year stochastic cyclone catalog, atmosphere-land-ocean NWP evaluation, extreme precipitation blending, streamflow prediction, predictive-uncertainty attribution, groundwater storage fusion, and geospatial self-supervised representation probing provide the modeling infrastructure needed to connect hazard drivers with local impact analysis.
Key Trends
Five movements define this issue: coupled rainfall-risk modeling, uncertainty-aware geotechnics, deployable remote-sensing subroutines, foundation-model adaptation, and storm-to-water-cycle prediction.
- Rainfall hazards are being treated as coupled urban-atmosphere-ground problems: The São Paulo case, rainfall-induced slope-stability review, extreme-precipitation blending, and streamflow uncertainty papers all show that rainfall risk depends on land cover, model physics, hydrologic routing, and uncertainty propagation rather than rainfall intensity alone.
- Geotechnical reliability is moving toward explicit multi-physics and uncertainty accounting: Tailings impoundment stability, cyclic clay, tunnel lining damage, suction caisson installation, bentonite desiccation, and Bayesian shear-capacity modeling all make uncertainty, material degradation, and coupled processes central rather than peripheral.
- Remote sensing is focusing on deployable subroutines for exposure and response mapping: Building extraction, traffic-object segmentation, SAR despeckling, GPR tunnel detection, roadwork geolocation, and change detection are narrow tasks, but together they improve the evidence chain for rapid disaster mapping.
- Foundation-model ideas are entering geoscience through adaptation, representation probing, and dynamics: Geospatial SSL probing, terrain segmentation, continuum-dynamics foundation models, wave propagation, and domain-adaptive building extraction show a pragmatic shift from general-purpose models toward task-aware Earth-system use.
- Storm and water-cycle papers are extending hazard analysis beyond event detection: Tropical-cyclone response to AMOC weakening, Typhoon Hato boundary-layer reorganization, WHITS stochastic cyclone tracks, NWP system evaluation, SWOT water-level uncertainty, and groundwater-storage fusion all target upstream drivers of future hazard and exposure assessments.
Selected Papers
The selected papers cover São Paulo extreme-rainfall simulation, rainfall-induced slope stability modeling, tailings impoundment stability, Dingri earthquake displacement uncertainty, tropical-cyclone dynamics and synthetic risk catalogs, extreme-precipitation forecasting, streamflow prediction, hydrologic uncertainty, groundwater geophysics, remote-sensing change detection, SAR despeckling, building extraction, GPR tunnel detection, wind-traffic-bridge reliability, seismic soft-story behavior, tunnel damage and rehabilitation, pipe-roof settlement control, rockbolt degradation, freeze-thaw soil migration, cyclic clay, fractured-rock flow, geospatial representation learning, and hazard mitigation planning. This issue contains 75 selected papers from 3058 papers analyzed.
1. Impact of land use and physical schemes on convection-permitting simulations of an extreme precipitation event in the Metropolitan Area of São Paulo, Brazil
Core Problem: Urban extreme-rainfall simulations remain sensitive to land-use representation and model physics, yet these choices directly affect flood and landslide risk estimates.
Key Innovation: Tests land-use and physical-scheme configurations in convection-permitting simulations of a São Paulo event associated with landslides, flooding, infrastructure disruption, and fatalities.
2. Rainfall-Induced Slope Stability Modeling: A Systematic Review of Coupled and Hybrid Frameworks
Core Problem: Rainfall-driven slope stability analysis has expanded beyond deterministic factor-of-safety calculations, but the field remains fragmented across hydro-mechanical, probabilistic, and AI-assisted frameworks.
Key Innovation: Synthesizes coupled and hybrid rainfall-induced slope-stability modeling approaches, clarifying how physical infiltration, uncertainty, and machine-learning components are being combined.
3. Numerical investigation on the effect of waste rock inclusions on the static stability of an upstream tailings impoundment
Core Problem: Static liquefaction remains a major mechanism of catastrophic tailings impoundment failure, and the stabilizing role of waste-rock inclusions is not well quantified.
Key Innovation: Numerically evaluates how waste-rock inclusions alter static liquefaction potential and the stability of upstream tailings impoundments.
4. A 10,000-Year Global Stochastic Tropical Cyclone Catalog with Wind-Dependent Track Transitions (WHITS)
Core Problem: Tropical-cyclone risk assessment is limited by short and spatially uneven historical records, especially for rare high-intensity landfalls.
Key Innovation: Introduces WHITS, a non-parametric semi-Markov simulator that generates a 10,000-year global synthetic cyclone-track catalog conditioned on wind, location, storm age, and motion.
5. Realistic Error Budget and Cross-Validation of Sentinel-1 3D Displacement for the 2025 Dingri Earthquake
Core Problem: Sentinel-1 3D displacement products are increasingly used after earthquakes, but their uncertainty can be underestimated without event-specific error budgeting.
Key Innovation: Builds a realistic error budget and cross-validation workflow for Sentinel-1 three-dimensional displacement retrieval after the 2025 Dingri earthquake.
6. Non-Uniform Reduction of the North Atlantic Tropical Cyclones in Response to the AMOC Weakening Under External Freshwater Forcing
Core Problem: Future tropical-cyclone hazard cannot be inferred from basin-wide averages alone because circulation changes can redistribute storm activity across space.
Key Innovation: Uses high-resolution coupled modeling with explicit tropical-cyclone tracking to show a non-uniform North Atlantic cyclone response to externally forced AMOC weakening.
7. Landfall Reorganizes Eyewall Boundary Layer Transport and Scale Coupling in Typhoon Hato (2017)
Core Problem: Landfall alters storm boundary-layer transport and scale coupling, but the near-surface processes that control wind and rainfall impacts remain difficult to observe.
Key Innovation: Analyzes Typhoon Hato to show how landfall reorganizes eyewall boundary-layer transport and multi-scale coupling.
8. An Atmosphere-Land-Ocean Coupled Global NWP System: Performance Evaluation for Potential Operational Use
Core Problem: Operational hazard forecasting increasingly depends on coupled atmosphere-land-ocean prediction, but full-system skill must be evaluated before deployment.
Key Innovation: Evaluates a coupled global numerical weather prediction system for operationally relevant atmosphere-land-ocean performance.
9. Track-Dependent Links Between Tropical Cyclones and Extratropical Predictability in Physical and AI Models
Core Problem: Tropical cyclones can affect downstream predictability, but the relationship depends on storm tracks and model class.
Key Innovation: Compares physical and AI models to assess how tropical-cyclone tracks influence extratropical predictability.
10. Quantifying heterogeneous hydrological interactions in complex river basins: an interpretable spatiotemporal deep learning approach
Core Problem: Complex river basins contain heterogeneous hydrologic interactions that are difficult to represent with black-box prediction alone.
Key Innovation: Uses interpretable spatiotemporal deep learning to quantify heterogeneous interactions across complex basin systems.
11. FlowGATFormer: A streamflow prediction model based on spatiotemporal dual attention
Core Problem: Streamflow prediction needs models that preserve spatial river-network context and temporal forcing signals.
Key Innovation: Introduces a dual-attention architecture for spatiotemporal streamflow prediction.
12. A localisation strategy for scalable and efficient multi-source precipitation blending at high resolutions over large domains
Core Problem: Flood and landslide modeling require high-resolution precipitation fields, but multi-source blending can become computationally expensive over large domains.
Key Innovation: Develops a localization strategy for scalable high-resolution precipitation blending across large areas.
13. Enhancing the Forecasting Capability of Multi-Model Blending Algorithms for Extreme Precipitation via Joint Use of Station and Gridded Observations
Core Problem: Extreme precipitation forecasting remains difficult because numerical weather models often underestimate peak intensity and displace rain belts.
Key Innovation: Uses a U-Net two-stage blending framework with station-grid joint supervision to improve rainstorm and extreme-event forecasts across six NWP models.
14. Assessment and attribution of predictive hydrologic uncertainty in operational short-to-medium range ensemble streamflow forecasting
Core Problem: Operational flood forecasting needs uncertainty estimates that can be attributed to different sources rather than treated as undifferentiated spread.
Key Innovation: Assesses and attributes predictive uncertainty in short-to-medium range ensemble streamflow forecasting.
15. Computational electromagnetic geophysics for groundwater system studies: A review of established practices and recent advances
Core Problem: Groundwater-system characterization depends on indirect geophysical evidence, but computational electromagnetic methods are distributed across separate practices.
Key Innovation: Reviews established and emerging computational electromagnetic geophysics methods for groundwater-system studies.
16. MambaRefine-CD: MambaVision with Region-Boundary Temporal Refinement
Core Problem: Disaster mapping requires change-detection models that capture both complete changed regions and accurate boundaries.
Key Innovation: Uses a MambaVision encoder with region-boundary temporal refinement to improve bi-temporal remote-sensing change detection.
17. WCMNet: A Wavelet-Guided and CNN-Mamba Hybrid Network Approach for Unsupervised Domain Adaptation in Building Extraction
Core Problem: Building extraction models often degrade when transferred across cities, sensors, or post-disaster image domains.
Key Innovation: Combines wavelet guidance with CNN-Mamba hybrid modeling for unsupervised domain adaptation in building extraction.
18. MambaDIP: Mamba-Based Deep Image Prior Framework for Despeckling and Enhancement of SAR Images
Core Problem: SAR hazard mapping is limited by speckle and image degradation that obscure subtle terrain or infrastructure features.
Key Innovation: Introduces a Mamba-based deep image prior framework for SAR despeckling and enhancement.
19. Unsupervised Detection of Underground Tunnels in Ground-Penetrating Radar Using Depth-Restricted Reconstruction Scoring
Core Problem: Subsurface tunnel detection from GPR is difficult when labeled anomalies are scarce and depth context matters.
Key Innovation: Uses depth-restricted reconstruction scoring for unsupervised detection of underground tunnels in GPR data.
20. A multi-fidelity reliability framework for driving safety risk assessment of wind-traffic-bridge systems
Core Problem: Wind, traffic, and bridge response interact in safety-critical ways that are expensive to evaluate with only high-fidelity simulation.
Key Innovation: Develops a multi-fidelity reliability framework for driving safety risk assessment in wind-traffic-bridge systems.
21. Investigation of soft story effect in RC structures using different strengthening methods
Core Problem: Soft-story buildings remain a recurring source of earthquake vulnerability, and retrofit effectiveness depends on strengthening strategy.
Key Innovation: Compares strengthening methods for mitigating soft-story effects in reinforced-concrete structures.
22. LCPNet: Latent Consistent Proximal Unfolding Network for Infrared Small Target Detection
Core Problem: Small-target detection in infrared remote sensing is difficult under weak contrast and complex backgrounds.
Key Innovation: Embeds proximal unfolding and latent consistency into an infrared small-target detection network.
23. A Large-Scale Dataset and a New Method for RemoteSensing Traffic Object Segmentation
Core Problem: Transportation-capacity and exposure assessment require object segmentation datasets that cover diverse remote-sensing scenes.
Key Innovation: Introduces a large-scale traffic-object segmentation dataset and benchmark method for cars, aircraft, ships, and trains in remote-sensing imagery.
24. Framework and Multi-modal Dataset for Roadwork Zone Detection and Geo-localization
Core Problem: Roadwork and construction-zone changes affect transportation exposure but are hard to map consistently from heterogeneous data.
Key Innovation: Provides a multimodal dataset and detection/geolocation framework for roadwork-zone mapping.
25. Nano-U: Efficient Terrain Segmentation for Tiny Robot Navigation
Core Problem: Small robots used in field inspection or response need terrain segmentation under severe memory and compute constraints.
Key Innovation: Develops a compact binary terrain-segmentation framework for microcontroller-scale robotic navigation.
26. Probing Geospatial SSL Representations with Environmental Signals
Core Problem: Geospatial self-supervised representations are often evaluated only by downstream scores, leaving their encoded environmental information unclear.
Key Innovation: Probes satellite-image SSL representations against ERA5 environmental variables to test whether they retain physically meaningful signals.
27. Walrus: A Cross-Domain Foundation Model for Continuum Dynamics
Core Problem: Hazard-related geophysical flows and material deformation share continuum-dynamics structure, but models are usually trained for individual systems.
Key Innovation: Introduces a cross-domain foundation model for continuum dynamics with potential transfer to fluid, wave, and deformation problems.
28. Generative wave propagator
Core Problem: Seismic and geophysical-wave simulation is computationally demanding when many scenarios or inversions are needed.
Key Innovation: Frames wave propagation through a generative modeling approach that may support fast surrogate simulation.
29. Air Quality Downscaling with Station-Guided Pseudo-Supervision
Core Problem: Urban exposure analysis needs local-scale environmental fields, but coarse atmospheric products and point stations have mismatched spatial support.
Key Innovation: Uses station-guided pseudo-supervision to downscale coarse air-quality fields to local resolution.
30. Reducing dependence on GRACE mascon datasets: bayesian‑TCH fusion for robust groundwater storage anomaly diagnoses in the U‑shaped meander region of the Yellow River basin
Core Problem: Groundwater-storage anomaly diagnosis can depend strongly on the choice of GRACE mascon product.
Key Innovation: Uses Bayesian triple-collocation-style fusion to reduce dependence on individual GRACE mascon datasets in groundwater-storage assessment.
31. Quantifying uncertainty in shear capacity models for steel-reinforced concrete columns and joints using Bayesian statistics
Core Problem: Shear-capacity models for reinforced-concrete components carry epistemic uncertainty that affects earthquake and infrastructure reliability estimates.
Key Innovation: Uses Bayesian statistics to quantify uncertainty in shear-capacity models for columns and joints.
32. Dynamic characteristics of saturated subgrade silty clay under traffic induced cyclic vertical compression and horizontal shear stresses
Core Problem: Subgrade soils experience coupled vertical and horizontal cyclic stresses that control pore-pressure build-up and permanent deformation.
Key Innovation: Tests saturated silty clay under combined traffic-induced cyclic compression and shear to characterize dynamic response.
33. An improved unified strain-hardening and strain-softening constitutive model considering the nonlinear elasticity and dilation
Core Problem: Rock masses in tunnel and transportation settings show nonlinear elasticity, dilation, hardening, and softening that are hard to capture in one model.
Key Innovation: Improves a unified constitutive model to account for confining-pressure-dependent elasticity and dilation.
34. A Novel Index of Cutting Efficiency and Intelligent Cutter Spacing Optimization of TBM Based on Three-Dimensional Digitization Reconstruction Technology
Core Problem: Tunnel boring machine performance depends on rock-breaking efficiency and cutter spacing, but optimization needs three-dimensional fracture evidence.
Key Innovation: Uses 3D digital reconstruction to define cutting-efficiency metrics and optimize TBM cutter spacing.
35. A novel mechanical model for soil-pipe-roof interaction and multi-objective parameter optimization
Core Problem: Pipe-roof support is used to control tunneling-induced settlement, but the soil-structure interaction mechanism remains poorly constrained.
Key Innovation: Combines model tests, 3D simulation, and a Pasternak-foundation mechanical model to optimize pipe-roof design parameters for sandy strata.
36. Crack evolution and safety assessment of secondary lining in squeezing rock tunnels during service life
Core Problem: Secondary tunnel linings in squeezing rock can accumulate cracks during service, affecting long-term underground infrastructure safety.
Key Innovation: Analyzes crack evolution and safety assessment for secondary linings in squeezing-rock tunnels.
37. Crack propagation law in the bottom structure of tunnels with expansive surrounding rock under high-speed train dynamic loading
Core Problem: Tunnel bottoms in expansive surrounding rock are affected by swelling behavior and repeated train dynamic loading.
Key Innovation: Studies crack propagation in tunnel bottom structures under high-speed train loading in expansive rock.
38. Mechanical response and damage evolution of CT-jointed segmental linings in undersea shield tunnels under multi-source construction loads
Core Problem: Segmental linings in undersea shield tunnels experience multi-source construction loads that can drive jointed damage evolution.
Key Innovation: Evaluates mechanical response and damage evolution of CT-jointed segmental linings under construction loading.
39. Probabilistic analysis of tunneling-induced ground movements in undrained clay: empirical methods revisited
Core Problem: Urban tunneling risk depends on uncertain ground movements in clay, yet empirical methods are often used deterministically.
Key Innovation: Revisits empirical tunneling-induced movement methods through probabilistic analysis in undrained clay.
40. From convergence monitoring to numerical modeling: A practical engineering-oriented framework to assess the long-term behavior of drifts in Callovo-Oxfordian claystone
Core Problem: Long-term drift behavior in claystone must be inferred from convergence monitoring and numerical models over extended timescales.
Key Innovation: Links convergence monitoring to engineering-oriented numerical modeling for long-term drift assessment.
41. Diurnal variations in air temperatures along cold region tunnels: Field observation and analytical solution
Core Problem: Cold-region tunnel conditions depend on daily air-temperature variations that affect freezing, thawing, and infrastructure serviceability.
Key Innovation: Combines field observations with an analytical solution for diurnal air-temperature variation along cold-region tunnels.
42. Investigation of water migration in expansive soil under unidirectional freeze-thaw cycles
Core Problem: Freeze-thaw cycling redistributes water in expansive soils, changing deformation and stability in cold-region infrastructure settings.
Key Innovation: Investigates water migration in expansive soil under unidirectional freeze-thaw cycles.
43. An enhanced bounding surface model with modified plastic flow rule for cyclically loaded clay: Formulation, implementation, and dynamic finite element analysis
Core Problem: Cyclic clay models can underpredict excess pore pressure and stress-path effects in offshore and seismic loading conditions.
Key Innovation: Introduces a modified plastic-flow rule in a bounding-surface model and implements it in dynamic finite-element analysis.
44. Study on the mechanical behavior and modified constitutive model of sandy pebble soil considering the influence of disturbance
Core Problem: Sandy pebble soil disturbance changes deformation and strength behavior relevant to excavation, slopes, and foundations.
Key Innovation: Develops a modified constitutive model that accounts for disturbance effects in sandy pebble soil.
45. Fracture Evolution and Mechanical Anisotropy of Layered Dolomite
Core Problem: Layered dolomite can exhibit anisotropic fracture evolution that affects rock-slope, tunnel, and excavation stability.
Key Innovation: Characterizes fracture evolution and mechanical anisotropy in layered dolomite.
46. Real-time strain evolution and fracture dynamic response in laminated rock during hydraulic fracturing based on OFDR technology
Core Problem: Hydraulic fracturing in laminated rock involves rapid strain localization and fracture dynamics that are difficult to observe.
Key Innovation: Uses OFDR sensing to monitor real-time strain evolution and fracture response during hydraulic fracturing.
47. Load transfer of rockbolts under combined dynamic loading and corrosion degradation
Core Problem: Rockbolt support systems in deep mining and underground engineering face coupled dynamic loading and corrosion that can degrade anchoring reliability.
Key Innovation: Combines dynamic pull-out tests, electrochemical corrosion tests, and an enhanced bond-slip model to characterize rockbolt load transfer under coupled degradation.
48. A 3D numerical manifold method (NMM) with global-local tracking for modelling strong discontinuity crack propagation
Core Problem: Strong discontinuity crack propagation remains difficult to model robustly in three-dimensional geomechanics.
Key Innovation: Develops a 3D numerical manifold method with global-local tracking for crack propagation.
49. A hydro-mechanically coupled zero-thickness interface element and its application in the modelling of embedded retaining walls
Core Problem: Embedded retaining-wall behavior depends on coupled mechanical response and pore-pressure interaction at interfaces.
Key Innovation: Introduces a hydro-mechanically coupled zero-thickness interface element for retaining-wall modeling.
50. Offshore Wind Suction Caisson Installation in Clay: Effects of Soil-Structure Interface Degradation
Core Problem: Suction caisson installation in clay is affected by soil-structure interface degradation, which controls penetration and foundation reliability.
Key Innovation: Evaluates interface degradation effects during offshore wind suction caisson installation in clay.
51. Unified cost-aware autonomous inference for geotechnical engineering: formalism, examples, and application to compaction field data
Core Problem: Geotechnical site characterization must balance measurement cost, uncertainty, and decision value in the field.
Key Innovation: Formalizes cost-aware autonomous inference and demonstrates it on compaction field data.
52. Conditional generation of 3D realistic granular matter: A versatile method and case-based studies
Core Problem: Granular shape controls mechanical behavior, but realistic 3D grain structures are hard to generate for controlled simulations.
Key Innovation: Uses conditional generation to create realistic 3D granular matter for case-based geomechanics studies.
53. Reconstructing three-dimensional multimineral microstructures of granite from orthogonal surface images via style transfer by incorporating high-frequency Gram loss
Core Problem: Rock microstructure controls hydro-mechanical behavior, but 3D multimineral structures are often unavailable from surface images alone.
Key Innovation: Uses style transfer with high-frequency Gram loss to reconstruct 3D granite microstructures from orthogonal surface images.
54. Geometry-dependent soil consolidation around permeable pipe piles
Core Problem: Permeable pipe piles alter drainage geometry and consolidation around foundations, affecting settlement behavior.
Key Innovation: Analyzes geometry-dependent soil consolidation around permeable pipe piles.
55. Monotonic, unidirectional, and bidirectional cyclic simple shear responses of municipal solid waste incineration bottom ash
Core Problem: Recycled bottom ash may be used as a construction material, but its cyclic shear response under dynamic loading is insufficiently understood.
Key Innovation: Characterizes monotonic and cyclic simple-shear response of municipal solid waste incineration bottom ash.
56. Diffusion and Restrictive Tortuosity for a Semipermeable Sand-Bentonite Mixture
Core Problem: Low-permeability sand-bentonite barriers require diffusion and tortuosity estimates for chemical containment performance.
Key Innovation: Measures effective diffusion and restrictive tortuosity in a semipermeable sand-bentonite mixture.
57. Nonequilibrium Description of Evaporative Desiccation in Bentonite Clay
Core Problem: Evaporative desiccation changes bentonite barrier behavior under non-equilibrium moisture conditions.
Key Innovation: Provides a nonequilibrium description of evaporative desiccation in bentonite clay.
58. An efficient fracture network reduction method for characterizing flow and mass transport in three-dimensional fracture networks
Core Problem: Large 3D fracture networks are expensive to simulate for groundwater and contaminant transport analysis.
Key Innovation: Develops an efficient fracture-network reduction method for flow and mass-transport characterization.
59. Radial flow in an anisotropic aperture field in a rough-walled fracture
Core Problem: Flow through rough fractures depends on anisotropic aperture fields that complicate radial-flow interpretation.
Key Innovation: Analyzes radial flow in a rough-walled fracture with anisotropic aperture structure.
60. Integrating petrophysical uncertainty in salinity estimation from ERT and well data using indicator kriging
Core Problem: Salinity mapping from ERT and well data is sensitive to petrophysical uncertainty.
Key Innovation: Integrates petrophysical uncertainty into salinity estimation using indicator kriging.
61. Multiphysics Monitoring of Capillary, Electrical, and Elastic Responses During Drainage and Imbibition at Reservoir Conditions
Core Problem: Reservoir-scale flow processes couple capillary, electrical, and elastic responses that are often monitored separately.
Key Innovation: Measures coupled capillary, electrical, and elastic responses during drainage and imbibition under reservoir conditions.
62. Lake Morphometry Influences the Accuracy of SWOT Estimates of Water Level
Core Problem: SWOT water-level estimates can vary with lake shape, affecting flood, drought, and water-storage monitoring.
Key Innovation: Shows how lake morphometry influences SWOT water-level accuracy.
63. On the Importance of Imbalance-Aware Evaluation for Edge-Of-Field Runoff Prediction: A Commentary on Ford et al. (2022)
Core Problem: Rare runoff events can be underweighted by conventional evaluation metrics, weakening hydrologic model assessment.
Key Innovation: Argues for imbalance-aware evaluation when assessing edge-of-field runoff prediction.
64. MCPF-Net: Multi-Stage LiDAR-Image Collaborative Perception Fusion Network for Point Cloud Semantic Segmentation of Urban Scenes
Core Problem: Urban exposure mapping benefits from fusing LiDAR and imagery, but point-cloud semantic segmentation remains sensitive to modality gaps.
Key Innovation: Introduces a multi-stage LiDAR-image fusion network for urban point-cloud semantic segmentation.
65. Spatiotemporal Dynamics and Influencing Factors of Landscape Ecological Risk in the Shandong Peninsula Urban Agglomeration Based on Sub-Watershed Units
Core Problem: Regional ecological risk varies across urbanizing sub-watersheds, affecting exposure and environmental vulnerability baselines.
Key Innovation: Maps spatiotemporal landscape ecological risk and its drivers across Shandong Peninsula sub-watersheds.
66. Flood-Driven Landscape Dynamics in Southeastern Amazon Delta-Estuary Watersheds
Core Problem: Delta-estuary landscapes can change rapidly under flood forcing, but watershed-scale patterns are difficult to map consistently.
Key Innovation: Uses remote sensing to characterize flood-driven landscape dynamics across southeastern Amazon delta-estuary watersheds.
67. Mechanical Behavior of Cement-Stabilized Polymetallic Mine Tailings
Core Problem: Cement-stabilized mine tailings are used in mining engineering, but their critical-state behavior and destructuration under stress remain uncertain.
Key Innovation: Tests cement-stabilized polymetallic tailings with oedometer, triaxial, mineralogical, and microstructural analyses to quantify stiffness, strength, brittleness, and critical-state trends.
68. Coupled vibration characteristics and vibration mitigation of submerged floating tunnel-track-train under wave load
Core Problem: Submerged floating tunnels couple wave loading, structural vibration, and train safety, creating a multi-hazard infrastructure reliability problem.
Key Innovation: Builds a coupled tunnel-track-train model and evaluates distributed tuned-mass dampers for reducing wave-induced tunnel vibration and train derailment risk.
69. Mechanisms of deterioration in in-service tunnel lining concrete subjected to sulfate attack: an experimental method accounting for actual corrosion conditions
Core Problem: Tunnel lining concrete in sulfate-rich strata deteriorates under coupled pressure, chemistry, and temperature conditions that standard accelerated tests do not reproduce.
Key Innovation: Uses a pressure-chemical-temperature coupled experiment with acoustic-emission and image-correlation monitoring to reveal sulfate-induced tunnel-lining damage mechanisms.
70. Mechanical performance of shield tunnel segment joint reinforced with steel box girders
Core Problem: Segment joints are vulnerable after shield-tunnel damage, and reinforcement performance can degrade through interface debonding and anchor failure.
Key Innovation: Tests steel-box-girder reinforcement of damaged shield-tunnel segment joints and quantifies stiffness gain, debonding evolution, and residual performance loss.
71. Soil-structure interaction mechanisms of a retaining wall during tunnel excavation in sand with different relative densities
Core Problem: Tunneling near retaining walls can drive settlement, rotation, sliding, and stress redistribution, with response controlled by sand density.
Key Innovation: Uses three-dimensional finite-element analysis to isolate density-dependent soil-structure interaction mechanisms during tunnel excavation.
72. Estimation of rock strength and integrity in TBM tunnel using rock fragment size and shape characteristics
Core Problem: TBM tunnel support decisions need rapid information on rock strength and rock-mass integrity, but fragment evidence is often underused.
Key Innovation: Links rock-fragment size and shape metrics to rebound strength and intactness index for tunnel-control and support optimization.
73. Eccentric compression bearing performance of a novel multiple resistance yielding support for tunnel lining in squeezing rock
Core Problem: Squeezing-rock tunnels require support systems that can maintain stable yielding under eccentric compression rather than only ideal axial loading.
Key Innovation: Tests and models a multiple-resistance yielding support structure under eccentric compression for squeezing-rock tunnel linings.
74. Flexural behavior and progressive interfacial debonding mechanism of BFRP-PCM composite-strengthened tunnel segments
Core Problem: Composite-strengthened tunnel segments can fail through progressive interfacial debonding, affecting residual capacity after repair.
Key Innovation: Develops a cohesive-zone numerical framework to quantify BFRP-PCM strengthening, post-debonding response, and fail-safe behavior of tunnel segments.
75. Tribal hazard mitigation planning pathways: A comparative content analysis
Core Problem: Hazard mitigation planning in tribal contexts must account for governance, jurisdiction, and community priorities that are often missed by generic planning templates.
Key Innovation: Compares tribal hazard mitigation plans to identify planning pathways and content patterns relevant to risk governance.