TerraMosaic Daily Digest: Mar 7, 2026
Daily Summary
This March 7, 2026 digest compiles 90 selected papers from 500 analyzed studies. The strongest contributions show how hydrodynamic boundary conditions reshape geohazard behavior: landslide-induced flooding on the Chilcotin River is now measurable from space with SWOT, landslide-dam experiments show that impounded water changes depositional architecture rather than merely its scale, and coupled simulations of Anak Krakatau demonstrate that seawater reaction forces are part of the seismic source itself. Across debris-laden channel flows, rooted riverbanks, and suffusive sand-clay mixtures, the common result is that fluid-solid interaction is not a secondary correction but the mechanism that determines whether deformation localizes, propagates, or dissipates.
A second cluster turns mitigation and monitoring into parameterized design problems. PM4Sand re-analysis of the Fundão tailings dam separates static preconditioning from seismic triggering; rigid drainage piles suppress liquefaction by accelerating pore-pressure release; and open-source flood-risk coupling allows nature-based and building-level adaptations to be evaluated within one decision space. At the same time, ERT-informed landslide zonation, DInSAR mapping of ephemeral rivers, trail-camera stream gauging, and machine-learning reconstructions of streamflow and groundwater properties extend quantitative hazard intelligence into places where dense instrumentation does not exist.
Key Trends
The main trajectory is from static event description to coupled observation-physics-design geohazard analysis.
- Hydrodynamic boundary conditions are no longer treated as background: water depth in landslide-dam experiments, seawater reaction forces in volcanic collapse, seepage during thaw, and rough beds in particle-liquid flows all change the governing mechanics.
- Remote sensing is shifting from event mapping to state estimation: SWOT, DInSAR, ERT-guided zonation, and low-cost camera gauges are used to recover water levels, channel activity, and internal slope heterogeneity rather than to provide static inventories.
- Mitigation studies are becoming drainage- and dissipation-aware: rigid drainage piles, self-centering braces, bioretention systems, and intelligent compaction target the specific pathway through which instability accumulates.
- Machine learning is most useful where it bridges scale or missing data: residual-corrected scour models, streamflow gap filling, specific-yield ensembles, and real-time tunnel-fire prediction convert sparse or non-transferable data into operational forecasts.
- Subsurface hazards are being recast as coupled transport problems: liquefaction, suffusion, CO2-water drying in porous media, and basin-scale pressurization are modeled with explicit pore-pressure, capillary, and multiphase-flow physics.
Selected Papers
This digest features 90 selected papers from 500 papers analyzed across multiple journals. Each paper has been evaluated for its relevance to landslide and broader geohazard research and includes links to the original publications.
1. Characterizing Landslide‐Induced Floods Using the SWOT Mission: A Case Study on the Chilcotin River, Canada
Core Problem: Difficulty in monitoring hydrological impacts of landslides in remote, narrow river systems.
Key Innovation: Validated the use of SWOT satellite interferometry to accurately detect and quantify water level and slope changes during a landslide-induced flood.
2. An experimental comparative study of landslide dam formation: In dry river channel vs. channel-type reservoir
Core Problem: Lack of comparative data on landslide dam formation in dry versus water-filled channels.
Key Innovation: Experimental evidence that water depth significantly alters deposition dynamics and dam morphology.
3. Pre-failure dynamic analysis of the Fundão tailings dam using the PM4Sand liquefaction model
Core Problem: Determining the role of seismic events in the catastrophic failure of the Fundão tailings dam.
Key Innovation: Used advanced constitutive models (NorSand/PM4Sand) to prove that seismic events were secondary triggers, with static conditions driving the failure.
4. Dynamic soil response of a liquefaction-extended site reinforced with rigid drainage pile groups
Core Problem: Mitigation of liquefaction-induced hazards in seismically active regions.
Key Innovation: Demonstration that rigid drainage pile (RDP) groups significantly reduce excess pore water pressure and ground settlement through efficient drainage channels.
5. Long‐Period Seismic Waves From Seawater Disturbances During the 2018 Anak Krakatau Volcanic Island Collapse
Core Problem: The physical sources of long-period seismic waves generated by volcanic island collapses and their interaction with seawater are poorly understood.
Key Innovation: Demonstrated that the reaction force from disturbed seawater contributes significantly to seismic radiation, providing a coupled landslide-seawater model that better reproduces observed waveforms.
6. Multi‐State Rheology in Dense Particle‐Liquid Channel Flows Over Bumpy Bed and Its Constitutive Modeling
Core Problem: Modeling granular stress in dense particle-liquid flows (e.g., debris flows, submarine landslides) is challenging due to complex interparticle interactions.
Key Innovation: Developed a multi-state rheological model integrating frictional and collisional stresses, validated by refractive index matching experiments.
7. Deaf, DeafBlind, and Hard of Hearing University Student Experiences with Earthquake Early Warning in the United States: Evaluating Language Planning and Technology Access
Core Problem: EEW systems are inaccessible to DHH+ populations, leading to safety risks.
Key Innovation: Identified critical gaps in linguistic representation and alert usability, recommending co-development of alerts with DHH+ communities.
8. Geophysics-based landslide zonation explains spatial variability in tree-ring growth disturbances
Core Problem: Complex landslides are internally heterogeneous, making it difficult to interpret tree-ring based chronologies of slope activity.
Key Innovation: Integration of electrical resistivity tomography (ERT) to delineate mechanically distinct zones within a landslide, which significantly improves the interpretation of dendrogeomorphic growth disturbances.
9. Laboratory tensile properties and DEM modelling of rooted soils under freeze-thaw cycles at meandering riverbanks in the Yellow River Source Region
Core Problem: Instability of riverbanks due to freeze-thaw cycles and meadow degradation.
Key Innovation: Quantified the reduction in tensile strength of root-soil composites and identified microscale fracture mechanisms via DEM.
10. Assessing the Effectiveness of Nature‐Based Solutions and Building‐Level Flood Risk Reduction Measures: An Open‐Source Coupled Model
Core Problem: Difficulty in comparing the effectiveness of diverse flood adaptation measures (nature-based vs. building-level) within a single framework.
Key Innovation: Coupling the GEB model with hydrodynamic and flood risk models to provide a unified assessment framework for catchment-wide flood mitigation.
11. Critical hydraulic gradient and suffusion of sand–clay mixtures under a gradual increase in flow rate
Core Problem: Understanding the initiation of suffusion in clay-containing soils under hydrodynamic forces.
Key Innovation: Identification of critical hydraulic gradient as a function of ionic concentration, clay type, and size ratio, emphasizing the need to couple interaction energy with hydrodynamic forces.
12. A Semi‐Analytical Model for Predicting the Depth‐Averaged Maximum Longitudinal Velocity in Fully Ice‐Covered Confluences
Core Problem: Lack of mechanistic frameworks for predicting hydrodynamics in ice-covered river confluences, which drive erosion.
Key Innovation: Developed a semi-analytical model incorporating secondary flow effects to predict maximum velocities in ice-covered confluences.
13. Detecting Morphological Change From DInSAR Data in Ephemeral, Braided, Gravel Bed Rivers. Application to the Ungauged Trionto River, Italy
Core Problem: Difficulty in monitoring morphological changes in ephemeral braided rivers due to lack of frequent ground surveys.
Key Innovation: Proposed a DInSAR-based procedure using Sentinel-1 data to estimate active braid plain width and channel dynamics.
14. A Boundary Element Model for Assessing Large‐Scale Pressurization in Faulted Geological Storage Systems
Core Problem: Computational challenges in predicting basin-scale pressure propagation in complex, faulted geological systems during fluid injection.
Key Innovation: A computationally efficient hybrid model combining semi-analytical solutions with a boundary element approach to simulate pressure in faulted, multilayered 3D systems.
15. Experimental investigation of vortex induced vibrations of a cylinder near solid boundaries with different scour profiles
Core Problem: Understanding how scour profiles affect the vortex-induced vibration of structures near boundaries.
Key Innovation: Discovery of new VIV regimes caused by coupling between wake dynamics and specific equilibrium scour profiles.
16. Quantifying Scale Effects in Pile Scour Depth Prediction for Field Applications via Interpretable Machine Learning
Core Problem: Conventional scour depth prediction models suffer from significant scale effects when transitioning from laboratory to field conditions.
Key Innovation: A two-stage Lab-Residual XGBoost model that uses residual correction to bridge the gap between laboratory and field datasets, with SHAP-based interpretability.
17. Reductions in Anthropogenic Aerosol and Greenhouse Gas Drive Divergent Regional Impacts on Wildfire Risks in China Under Carbon Neutrality
Core Problem: Uncertainty in how future emission reductions will impact regional wildfire risks.
Key Innovation: Quantified the divergent impacts of aerosol vs. GHG reductions on wildfire risk, showing regional variability in China.
18. Filling Streamflow Data Gaps in Indian Catchments Using Machine Learning and K‐Means Clustering
Core Problem: Data gaps in streamflow records hinder hydrological modeling and flood risk assessment.
Key Innovation: Integrated Quantile Regression Forests with K-means clustering to reconstruct streamflow data for ungauged catchments.
19. Spatiotemporal Dynamics of Streamflow Drought in the Larger Alpine Region
Core Problem: Limited scope of drought analysis to individual catchments, ignoring the spatiotemporal evolution of large-scale drought events.
Key Innovation: Application of a novel spatial and temporal clustering algorithm to track streamflow drought evolution across the Alpine region.
20. Mechanical response of hybrid foundation under unidirectional cyclic loading in sand
Core Problem: Insufficient understanding of soil-structure interaction for hybrid foundations under cyclic loading in marine environments.
Key Innovation: Demonstration that hybrid foundations reduce deflection accumulation and improve unloading stiffness compared to standard monopiles.
21. The smoothed particle hydrodynamics model for multiphase flow problems with high and low density ratios
Core Problem: Numerical instability and accuracy issues in SPH models for multiphase flows with high density ratios.
Key Innovation: Adjustments to interfacial repulsive force coefficients and particle shifting technology to improve SPH stability for ocean engineering applications.
22. Offshore wind monopile bearing capacity prediction method based on CPTU: Research on the axial bearing mechanism by CPTU
Core Problem: Conservative and inaccurate axial capacity predictions for large-diameter monopiles due to installation-induced soil disturbance.
Key Innovation: A CPTU-based prediction framework incorporating a soil displacement coefficient to account for installation effects, reducing prediction error by 30%.
23. Influence of TBM excavation on the thermal conductivity and permeability characteristics of granite surrounding rock
Core Problem: Excavation-induced damage to rock mass properties in deep underground facilities.
Key Innovation: Quantified the depth and density of TBM-induced cracks and their impact on thermal and hydraulic conductivity.
24. Heat transfer analysis of thawing behavior in artificially frozen subway cross passage under seepage conditions
Core Problem: Unpredictability of stratum thawing in artificially frozen ground, which can lead to geotechnical instability.
Key Innovation: Optimized a heat-hydraulic coupling numerical model to predict thawing behavior under groundwater seepage, providing guidance for safe thawing methods.
25. Interaction of internal waves with the seafloor on the Namibian shelf (SE Atlantic Ocean): Implications for seafloor geomorphology
Core Problem: The impact of internal waves on seafloor erosion and sediment transport is poorly constrained.
Key Innovation: Identified that internal waves breaking on the seafloor generate escarpments and channels, influencing sediment resuspension and geomorphology.
26. Modeling the Drying Process of CO2‐Water in Porous Media With a Novel Volume‐of‐Fluid Lattice Boltzmann Model
Core Problem: Existing pore-scale models for evaporation in porous media rely on oversimplified assumptions regarding viscosity.
Key Innovation: Developed a Volume-of-Fluid Lattice Boltzmann model capable of simulating high-contrast viscosity and density in porous media.
27. A New GRIME2: Using an Octagon Calibration Target and Trail Camera to Measure Stream Water Level Over a 2‐Year Period
Core Problem: High cost and maintenance of traditional water level sensors in remote areas.
Key Innovation: Developed an open-source, low-cost system using trail cameras and an octagon calibration target for automated water level monitoring.
28. Meteorological to Agricultural Drought Transitions Compounded by Heat Waves in Historical and Future Climates
Core Problem: Predicting the intensification of agricultural drought propagation due to heat waves and climate change.
Key Innovation: Quantification of the shift in soil moisture distribution caused by temperature anomalies using Earth System Models.
29. Rethinking the Filling Process of Mega‐Dam Cascades
Core Problem: Lack of methodological frameworks to balance electricity production with downstream hydrological impacts during mega-dam filling.
Key Innovation: Ex-post analysis of the Upper Mekong cascade providing a strategy for coordinated filling to mitigate downstream discharge alterations.
30. Impact of Hydrological Regime and Temperature on Vegetation Growth Patterns in Floodplain Lakes Under Extreme Drought
Core Problem: Poor understanding of the non-linear interactive effects of hydrology and temperature on vegetation in floodplain ecosystems during droughts.
Key Innovation: Integration of hydrodynamic modeling and machine learning to identify critical threshold shifts in vegetation response to hydrothermal stress.
31. A Stacking Ensemble Model for Specific Yield Prediction: Framework Development and Application to Groundwater Storage Change Estimation in the North China Plain
Core Problem: Difficulty in accurately predicting specific yield for groundwater storage change estimation in unconfined aquifers.
Key Innovation: A stacking ensemble machine learning model (Random Forest + LightGBM) to predict specific yield and improve groundwater storage anomaly assessments.
32. Scenario-driven dynamic Bayesian networks for adaptive emergency decision support in ship oil spill accidents
Core Problem: Lack of integrated, interpretable, and adaptive decision support for dynamic ship oil spill accidents.
Key Innovation: A hybrid framework combining ontology, Rule-Based Reasoning, Case-Based Reasoning, and Dynamic Bayesian Networks for real-time accident evolution prediction.
33. Improving global ocean wave forecasting with an adaptive ensemble of AI models
Core Problem: Limitations of individual AI models in capturing complex, nonlinear ocean wave dynamics.
Key Innovation: Adaptive weighted ensemble methodology for significant wave height forecasting using multiple encoder-decoder neural networks.
34. Precision classification and governance of mining development based on resource endowment and spatial patterns: a case study of Northern Xinjiang, China
Core Problem: Spatial mismatch between mineral resource distribution and administrative management.
Key Innovation: Proposed a three-tier 'endowment-pattern-policy' governance framework to align mining management with geological reality.
35. Microplastic pollution in aquatic environments: a systematic review of bacterial degradation efficacy, mechanisms, and future pathways
Core Problem: Need for effective remediation strategies for microplastic pollution in aquatic ecosystems.
Key Innovation: Systematized bacterial degradation mechanisms and proposed a hybrid bioaugmentation-biosimulation approach for future remediation.
36. Study on reservoir permeability sensitivity of injection-production parameters in a CO2-based enhanced geothermal system
Core Problem: Low heat extraction rates in CO2-based enhanced geothermal systems.
Key Innovation: Proposed a nonlinear model for effective stress and identified optimal injection/production parameters to enhance permeability.
37. Rime ice formation: Insight into time trends over the last two decades based on observations in a Central European country
Core Problem: Understanding long-term trends and drivers of rime ice formation.
Key Innovation: Application of generalized additive models to analyze 20 years of rime ice data.
38. Multi-objective optimization control of subgrade compaction quality combined with intelligent compaction
Core Problem: Optimizing construction quality and efficiency in subgrade compaction.
Key Innovation: Hybrid intelligent optimization framework using SHAP for parameter adjustment.
39. Submarine geomorphology of tidal channels: case study of the Venice Lagoon, Italy
Core Problem: Lack of high-resolution geomorphological maps for anthropogenically altered tidal channels.
Key Innovation: Integrated high-resolution 3D mapping and Random Forest classification to identify sediment transport controls.
40. Dual pathways of empathy and polarization: Reconstructing the Great East Japan Earthquake through interactive news platforms
Core Problem: Understanding how disaster agendas are co-constructed during collective remembrance.
Key Innovation: Identified that human-interest framing fosters empathetic risk communication, while political framing drives polarization.
41. Quantifying evapotranspiration and shading cooling of urban vegetation across climates under extreme heat using an integrated SCOPE-SEB model and surface temperature analysis
Core Problem: Lack of a standardized, physically based framework to quantify and compare vegetation cooling effects across different climates.
Key Innovation: Integrated a SCOPE-SEB model with surface temperature analysis to enable consistent cross-city comparison of evapotranspiration and shading cooling.
42. Long-term succession and driving mechanisms of soil microbial communities in reclaimed farmland
Core Problem: Restoration of soil functionality in coal mining subsidence areas is poorly understood regarding microbial succession.
Key Innovation: Identification of specific microbial indicators (G+/G-, Sat/Mono, AMF/SF) and the role of soil aggregation in the long-term recovery of reclaimed mine soils.
43. Predicting the fracture temperature of asphalt mixtures under wet-dry cycles: An SCB test-based framework
Core Problem: Moisture damage and thermal cracking of asphalt layers due to wet-dry cycles.
Key Innovation: Developed a predictive framework integrating SCB tests and FE modeling to estimate fracture temperature.
44. Deep learning-based real-time prediction of tunnel cable fire physical fields: Combustion characteristics and temperature profile
Core Problem: Conventional detection methods fail to provide real-time, accurate fire stage and parameter prediction in cable tunnels.
Key Innovation: A dual-module deep learning framework (YOLOv8s + LSTM) for real-time fire stage detection and temperature profile prediction.
45. Intelligent decision support for tunnel fire incidents: integrating dynamic knowledge graph with large language models
Core Problem: Fragmented and inaccessible knowledge regarding tunnel fire safety hinders effective emergency response.
Key Innovation: Integrated dynamic knowledge graphs with LLMs to create an automated, domain-specific decision support system for fire management.
46. SM2RAIN–dual: a global rainfall fusion product derived from multi-source satellite soil moisture observations
Core Problem: Region-dependent uncertainties in satellite soil moisture products limit the accuracy of rainfall estimation for hydrological modeling.
Key Innovation: Developed a rainfall-level fusion strategy (SM2RAIN-Dual) combining SMAP and ASCAT to improve global precipitation data reliability.
47. Design of stormwater bioretention systems for improved volume and peak runoff reduction
Core Problem: Need to optimize bioretention systems to manage intense rainfall events caused by climate change.
Key Innovation: Identified that storage connections and specific filter media fractions significantly improve volume and peak flow reduction.
48. Deformation-amplified slope-friction self-centering braces for energy dissipation enhancement: Development and validation
Core Problem: Conventional self-centering braces lack sufficient energy dissipation for seismic protection.
Key Innovation: Developed a novel deformation-amplified slope-friction self-centering brace (DS-SCB) with enhanced energy dissipation.
49. Observations of Tidal Induced Responses in Self‐Potential Data in a UK Beach Sand Aquifer: Implications for Monitoring Seawater Intrusion
Core Problem: Need for affordable early warning systems for saline intrusion in coastal aquifers.
Key Innovation: Demonstrated that self-potential (SP) signals can remotely track saline plume movement and provide a precursor to intrusion.
50. The “Predictability Barrier” Phenomenon of Winter Extreme Cold Events in Central and Eastern China and Mechanisms of Error Amplification
Core Problem: Forecast errors in extreme cold events during the intensification stage.
Key Innovation: Identified the 'predictability barrier' and linked error amplification to the interaction between wind forecast errors and temperature gradients.
51. Extremes in Southern Hemispheric Zonal Wave‐3 and Their Impact on Antarctic Sea‐Ice Thickness
Core Problem: Lack of understanding regarding the impact of Zonal Wave-3 (ZW3) variability on Antarctic sea-ice thickness.
Key Innovation: Demonstrated that extreme ZW3 events drive mechanical displacement of sea-ice, contributing to thinning.
52. A Curie Point Depth Model of the Conterminous United States Derived From a Prior‐Constrained Equivalent Source Inversion
Core Problem: Uncertainties in magnetization and non-uniqueness of inversion lead to poor resolution in Curie Point Depth (CPD) models.
Key Innovation: Developed a prior-constrained equivalent source inversion framework that improves resolution of tectonic provinces and deep-thermal structures.
53. Solar Activity Dependence of the Dayside Lunar Surface Potential in the Terrestrial Magnetotail
Core Problem: Lack of characterization of lunar surface potential variability under different solar activity levels.
Key Innovation: Developed a model to estimate lunar surface potential and electrostatic hazards during extreme solar events.
54. The Future of Forest Microclimate in Southeast Asia
Core Problem: Poor quantification of large-scale changes in forest microclimate temperatures due to deforestation and climate change.
Key Innovation: Projected significant sub-canopy warming in Southeast Asian forests by 2050, identifying high-risk regions for biodiversity.
55. On Prediction of Permeability in Sedimentary Rocks Using Geoelectrical Parameters
Core Problem: Difficulty in predicting rock permeability using non-invasive geoelectrical measurements.
Key Innovation: Identified the 'constrictivity exponent' as a critical factor for calibrating geoelectrical permeability models, noting limitations of induced polarization.
56. Residual NAPL Intermittent Expulsion With Increasing Freeze–Thaw Cycles in Saturated Porous Media: Findings From a 2.5‐D Microfluidic Platform
Core Problem: Understanding contaminant migration in frozen soil under freeze-thaw cycles.
Key Innovation: Development of a 2.5-D microfluidic platform to visualize pore-throat mechanisms (expulsion, snap-off, compression) of NAPL in frozen media.
57. Adaptive backstepping sliding mode heading control for wave glider using neural network–based extended state observer
Core Problem: Heading control of unmanned wave gliders under external disturbances and unmeasurable system states.
Key Innovation: Integration of RBF neural network-based extended state observer with backstepping sliding mode control for robust navigation.
58. Data-driven waypoint tracking for USVs using adaptive state-weighted NMPC: Design and experimental validation
Core Problem: Modeling errors and environmental disturbances affecting waypoint tracking accuracy in unmanned surface vehicles.
Key Innovation: Adaptive State-Weighted Nonlinear Model Predictive Control (ASW-NMPC) with online adjustment of state-weighting matrices.
59. Stabilization of a nonlinear pitch-roll ship model via NVFBD control: Analytical and numerical investigations
Core Problem: Instability and vibration in ship roll motion due to wave interactions.
Key Innovation: Application of negative velocity feedback with dual independent delays (NVFBD) to stabilize ship motion in resonance regions.
60. Recent advances in structural damage assessment methods for ship collisions: A critical review of experimental, numerical, and analytical approaches
Core Problem: Lack of systematic integration in ship collision damage assessment methods.
Key Innovation: Proposal of a multi-tiered assessment framework combining analytical, numerical, and experimental approaches.
61. Improved wave group generation by wave paddle in a CFD wave tank
Core Problem: Discrepancies between theoretical and numerical wave group generation in CFD tanks.
Key Innovation: Correction scheme for input wave-group heights to improve accuracy in digital twin wave tank simulations.
62. Characterization of dissolved organic matter in surface water and groundwater: a dataset for the Seine River basin (France)
Core Problem: Limited understanding of organic matter properties and carbon fluxes in large river basins.
Key Innovation: Comprehensive 14-year dataset characterizing dissolved organic matter using optical and fluorescence spectroscopy.
63. How does integrating multi-scale monitoring and compound-specific isotope analysis improve the evaluation of S-metolachlor degradation in agro-ecosystems?
Core Problem: Difficulty in quantifying pesticide degradation and source apportionment at the catchment scale.
Key Innovation: Integration of multi-scale monitoring with Compound-Specific Isotope Analysis (CSIA) to robustly estimate pesticide degradation.
64. Modeling surface water and groundwater mixing and mixing-dependent denitrification with bedform dynamics
Core Problem: Limited understanding of how bedform migration affects SW-GW mixing and associated biogeochemical reactions like denitrification.
Key Innovation: Coupled hydrodynamic and reactive transport model showing that bedform migration hinders the self-purification capacity of the hyporheic zone.
65. Rising temperatures pose a threat to tropical insects
Core Problem: Assessing the impact of climate change on insect biodiversity in tropical regions.
Key Innovation: Quantification of temperature sensitivity across thousands of species to predict biodiversity loss.
66. Southern Hemisphere initiation of the mid-Pleistocene transition
Core Problem: Identifying the trigger mechanism for the mid-Pleistocene transition (MPT) in Earth's climate history.
Key Innovation: Evidence that Antarctic ice sheet growth and Southern Ocean buoyancy redistribution initiated the MPT.
67. Editorial: advances in accumulation conditions of unconventional oil and gas resources in complicated structure areas
Core Problem: Complexity of hydrocarbon accumulation in tectonically active and heterogeneous geological settings.
Key Innovation: Synthesized multi-disciplinary approaches (AI, geophysics, geology) to characterize unconventional reservoirs and predict accumulation in complex structures.
68. Structural configuration and its controls on shale oil accumulation of the Wulalike formation at southern section of western margin, Ordos Basin
Core Problem: Understanding tectonic controls on shale oil preservation in thrust belts.
Key Innovation: Established a structural model linking tectonic evolution and fault activity to shale oil preservation, prioritizing inner-sheet zones for exploration.
69. Comparative analysis of well patterns on depressurization performance in boundary-sealed class 1 hydrate reservoirs: from five-spot to cluster horizontal wells
Core Problem: Optimizing extraction efficiency for natural gas hydrates in boundary-sealed reservoirs.
Key Innovation: Compared well-net modes, finding that five-spot wells offer superior long-term development potential compared to cluster horizontal wells.
70. Spatiotemporal patterns of nutrients’ diurnal variations in glacier-fed alpine streams: Insights from high-frequency observations in the Laohugou River, Qilian Mountains
Core Problem: Lack of understanding regarding diurnal nutrient fluctuations in glacier-fed streams.
Key Innovation: High-frequency observations revealed that glacial melt dynamics drive diurnal nutrient variability.
71. Investigation of modern leakage based on numerical and geochemical modeling near a municipal well field in Memphis, Tennessee
Core Problem: Assessing the vulnerability of the Memphis aquifer to modern water leakage.
Key Innovation: Integrated numerical modeling and geochemical tracers to identify hydrogeologic connections and quantify modern water mixing.
72. Production-living-ecological spaces evolution and its eco-environmental effects in the Gansu-Qinghai contiguous region of the upper Yellow River
Core Problem: Tension between development and ecological protection in fragile plateau regions.
Key Innovation: Integrated FLUS model and SSP scenarios to project spatial evolution and ecological quality.
73. Hypogenetic morphologies and morphometric data reveal new insights into the speleogenesis of the Loltún Cave, Yucatan Peninsula, Mexico
Core Problem: The speleogenesis of Loltún Cave remained undetermined despite its archaeological significance.
Key Innovation: Used multivariate statistical analysis and morphometric indices to identify a dual-phase development (hypogenetic followed by epigenetic).
74. Global wood cascades from terrestrial sources to terrestrial, freshwater, and marine sinks
Core Problem: Lack of quantitative data on wood transport and storage in source-to-sink cascades.
Key Innovation: Conceptual framework for wood cascades to identify human-disrupted connectivity in landscape systems.
75. RURBAN-Map: A knowledge-guided framework for nationwide fine-scale urban-rural land use mapping in China
Core Problem: Inability to delineate fine-scale functional units across urban-rural landscapes using existing remote sensing methods.
Key Innovation: Developed a knowledge-guided framework (RURBAN-Map) integrating spatial structure, temporal semantics, and zoning strategy for unified mapping.
76. How have Florida's red tides changed from the 1970s to the 2000s? Assessment using CZCS and MODIS observations
Core Problem: Difficulty in assessing long-term changes in red tide severity due to inconsistent sampling and sensor data.
Key Innovation: Developed a scaling method to harmonize historical CZCS data with modern MODIS observations for long-term trend analysis.
77. Similitude-scaled criterion for investigating the snow and ice accumulation in the bogie regions of high-speed train
Core Problem: High cost and technical difficulty of full-scale wind tunnel testing for snow/ice accumulation.
Key Innovation: Proposed a density-based scaling criterion for snow particle dynamics that improves experimental accuracy.
78. Laser-microstructured galvanized surfaces for enhanced dew and frost harvesting in cold high-altitude regions
Core Problem: Inefficient water harvesting in cold, high-altitude environments.
Key Innovation: Developed laser-microstructured surfaces that significantly increase frost collection and meltwater recovery.
79. Compressive behavior of a novel 3D auxetic lattice reinforced ice-based composite: Experiments and modeling
Core Problem: Brittleness and low strength of ice-based structures.
Key Innovation: Used 3D auxetic lattices to significantly improve the compressive modulus and energy absorption of ice.
80. Mathematical modelling and experimental assessment of fire-induced shotcrete spalling
Core Problem: Fire-induced spalling in tunnel shotcrete linings reduces structural integrity and fire resistance.
Key Innovation: Developed a mathematical framework quantifying the interplay between thermal stress and vapour pressure as the primary drivers of spalling.
81. On the influence of aggregate alteration on shotcrete fire-induced spalling: A coupled H-TRIS and high-speed photography approach
Core Problem: Susceptibility of tunnel shotcrete to fire-induced spalling and the need for sustainable material alternatives.
Key Innovation: Demonstrated that moderate incorporation of crushed waste glass improves thermal stability and fire resistance in tunnel linings.
82. Study on the influence of tunnel opening partition walls on the pressure wave characteristics and mitigation effects during train passage
Core Problem: Aerodynamic pressure waves in tunnels during high-speed train passage pose risks to structural and passenger safety.
Key Innovation: Established a theoretical model for peak pressure wave values and demonstrated that perforated partition walls effectively attenuate pressure amplitudes.
83. Understanding how information modality influences wayfinding behavior with text-based signage in virtual metro environments
Core Problem: Inefficient wayfinding during emergency evacuations due to inconsistent information modalities.
Key Innovation: Identified that modality consistency between initial instructions and on-site signage significantly reduces cognitive switching costs and improves evacuation efficiency.
84. Assessing driver cognitive load in subsea tunnels and the effects of gradient and lighting variations: An ensemble learning-statistical hybrid approach
Core Problem: Excessive cognitive load in complex subsea tunnel environments increases traffic accident risks.
Key Innovation: Hybrid ensemble learning and statistical model identifying illuminance variation as the most critical environmental factor affecting driver cognitive load.
85. A water-dominated three-phase rate transient diagnostic framework for hydraulically fractured low-permeability reservoirs
Core Problem: Lack of diagnostic tools for multiphase flow in hydraulically fractured reservoirs.
Key Innovation: Developed a semi-analytical framework using pseudo-variables to estimate fracture properties and monitor pressure changes.
86. A wetland partitioning method based on the hydrological connectivity and the underlying causes of their occurrence
Core Problem: Ecosystem fragmentation in wetlands due to reduced hydrological connectivity.
Key Innovation: Developed a data-efficient partitioning method using hydrodynamic modeling and hierarchical clustering.
87. Numerical analysis of the interaction mechanism between the dual-row jet hydraulic mining collector and deep-sea sediment
Core Problem: Understanding the interaction between mining equipment and deep-sea sediment to prevent instability.
Key Innovation: Applied the coupled Eulerian–Lagrangian (CEL) method to quantify sediment resistance and deformation during deep-sea mining.
88. Rate-dependent behaviour on lateral bearing capacity for caisson foundation under slow to rapid monotonic and cyclic loadings
Core Problem: Lack of understanding of soil-caisson interaction under varying loading rates relevant to dynamic events.
Key Innovation: Identified that cyclic bearing capacity is influenced by loading rate and displacement, with post-peak capacity increases due to compaction.
89. Enhanced diesel removal from contaminated soil: A coupled approach of negative-pressure extraction and subzero-temperature-induced migration
Core Problem: High energy demand of conventional thermal desorption for soil remediation.
Key Innovation: Coupling negative-pressure extraction with subzero-temperature-induced migration to improve contaminant removal efficiency.
90. Effect of curing temperature on solidification/stabilization of zinc-contaminated slurry-like mud
Core Problem: Heavy metal inhibition of hydration in cementitious stabilization of contaminated mud.
Key Innovation: Use of early heat curing to kinetically reactivate hydration and improve immobilization of zinc in cement-GGBS systems.