TerraMosaic Daily Digest: September 18, 2026
Daily Summary
Spatial structure, rather than a single averaged terrain state, defines the strongest landslide advances. Across 533 catchments in the Colombian Andes, geographically weighted, spatial-regime and autoregressive models expose region-specific relief and elevation controls while reducing residual spatial dependence. At the Yanshan open-pit mine, 82 boreholes and UAV-derived discontinuities underpin a three-dimensional heterogeneous strength field that locates a potential slip surface at 12-16 m and guides monitoring. Boundary-aware DeepLabV3+ likewise improves the delineation of old and revegetated landslides along the Sichuan-Tibet corridor, with gains retained on an independent Bijie dataset.
Geotechnical studies sharpen failure analysis by resolving stress path, material composition and interacting components. Copper tailings consolidated under K0 conditions became unstable at markedly lower excess-pore-pressure ratios (0.15-0.45) than isotropically consolidated specimens (0.45-0.70), although both followed a common critical-state line. A companion study shows that mineralogy and initial fabric can determine whether this line remains unique across loading modes. For adjacent wharf-tunnel systems in liquefiable ground, centrifuge-validated simulations and a Gaussian copula capture positively dependent component demands that an independence assumption would miss.
Mechanistic observations connect environmental forcing to hazard-relevant responses across coasts, the atmosphere and subduction zones. Flume particle-image velocimetry shows that oyster-populated reef units suppress onshore near-bed turbulence and sediment-mobilization potential under the tested wave conditions. WRF simulations and trajectory analysis indicate that the 2025-2026 Iberian atmospheric rivers matched or locally exceeded early SSP5-8.5 moisture-transport and precipitation benchmarks. Off southwest Japan, bottom-simulating-reflector heat flow, seismic imaging and three-dimensional thermal modeling separate regional plate-age effects from localized anomalies and deformation around subducted seamounts, constraining environments associated with shallow slow earthquakes.
Earth observation and reduced-order modeling target states hidden by canopy, coarse sampling or computational expense. Airborne LiDAR uses absent near-infrared returns to delineate sub-canopy water and estimate water levels in post-mining lakes; GNSS-GRACE fusion recovers California water-storage change at 0.25° resolution; and nonlinear latent-space assimilation improves sea-surface-height reconstruction from sparse observations. Statewide imagery also maps 61,005 linear-erosion foci in Mato Grosso. Related contributions formulate excavation reliability under demand-based sequential strut loss and spatially variable soils, physics-guided GRACE groundwater downscaling and cross-scale reconstruction of all-weather land-surface temperature.
Key Trends
Across scales, the strongest studies replace homogeneous, independent and fully observed system assumptions with spatially structured, path-dependent and observation-aware formulations.
- Heterogeneity becomes an explicit model component: Landslide regressions resolve spatial regimes, mine-slope models propagate three-dimensional strength variability, and orientation-aware road-cut assessments expose instabilities concealed by aggregate rock-mass ratings.
- Loading history and dependence reshape failure estimates: Tailings experiments isolate consolidation-path and mineralogical controls, while system fragility models represent correlated wharf-tunnel demands rather than treating adjacent components independently.
- Mechanistic measurements narrow causal ambiguity: Controlled flume, triaxial and centrifuge experiments, together with seismic-thermal modeling, link forcing and material state directly to sediment mobility, instability and deformation.
- Hybrid reconstruction targets unobserved states: GNSS-GRACE fusion, sub-canopy LiDAR and nonlinear latent assimilation recover hydrological or ocean states that conventional observations cannot resolve; proposed GRACE and land-surface-temperature frameworks extend this strategy across scales.
- Hazard products are coupled to operational decisions: Mine-slope models inform monitoring placement, erosion inventories identify critical areas, and combined radar-borehole observations calibrate pillar-strength models. Urban impact-chain and probabilistic excavation studies extend the same operational framing.
Selected Papers
The 18 September collection is anchored by spatially structured landslide-abundance modeling, three-dimensional characterization of a heterogeneous open-pit slope, boundary-aware landslide segmentation, and direct evidence that consolidation path alters copper-tailings instability. The broader literature spans subduction-zone thermal structure, liquefaction fragility, probabilistic excavation reliability, mine-pillar and mine-seismic hazards, roadside slope failure, linear and loess erosion, atmospheric rivers, coastal sediment response, flood-risk systems, permafrost mapping, and observation or surrogate methods for reconstructing incompletely sampled environmental states.
1. Integrating spatial heterogeneity and dependence into landslide susceptibility modeling: a Gaussian-based regression framework
Core Problem: Ignoring spatial heterogeneity and dependence in catchment-scale landslide models can bias estimates and obscure geographically varying controls.
Key Innovation: Compares OLS, geographically weighted regression, spatial regimes and simultaneous autoregressive models across 533 Colombian-Andes catchments, showing that spatially structured models improve fit and reveal regional differences in relief and elevation effects.
2. Characterization of spatial heterogeneity in an open-pit mine slope based on boreholes and UAV photogrammetry, with stability assessment and application to monitoring layout: a case study
Core Problem: Homogeneous slope models can miss weathered and fractured zones that may fail before visible surface deformation appears.
Key Innovation: Integrates 82 borehole cores with automatically extracted UAV-point-cloud discontinuities to construct a three-dimensional heterogeneous Hoek–Brown parameter field, then links numerical and limit-equilibrium analyses to targeted field monitoring.
3. Boundary-Aware Attention-Enhanced DeepLabV3+ for Landslide Segmentation Along the Sichuan-Tibet Transportation Corridor
Core Problem: Large variation in scale, morphology and boundary clarity—especially for old, revegetated landslides—limits automatic segmentation accuracy.
Key Innovation: Adds CBAM feature refinement and an auxiliary boundary-supervision branch to DeepLabV3+, evaluates five baselines under a common protocol, performs ablations across seeds and validates on an independent Bijie dataset.
4. Behaviour of copper tailings after isotropic and K 0 consolidation: A critical state approach
Core Problem: Tailings behavior under the in-situ-relevant K0 consolidation path may differ materially from conventional isotropic laboratory characterization, biasing instability assessment.
Key Innovation: Drained and undrained triaxial tests quantify much lower pore-pressure-ratio thresholds for instability after K0 consolidation and identify both path-dependent instability relations and path-independent critical-state and flow-potential relations.
5. Linear Water Erosion in the State of Mato Grosso (Brazil): Spatial Analysis and Identification of Critical Areas
Core Problem: The spatial concentration and environmental controls of medium-to-large linear erosion features in Mato Grosso were not characterized consistently at state scale.
Key Innovation: Maps 61,005 erosion foci from high-resolution imagery, derives density-based criticality, and combines PCA with local diagnosis to identify 15 critical areas and their dominant soil, land-use, and relief controls.
6. A dependence-aware probabilistic seismic fragility framework for adjacent pile-supported wharf-shield tunnel systems in liquefiable ground
Core Problem: Treating adjacent wharf and tunnel demands as independent can bias system-level seismic fragility estimates, while component-optimal intensity measures are not necessarily consistent at system scale.
Key Innovation: Validates an OpenSees model against centrifuge tests, screens 25 intensity measures, selects a Pareto-balanced system measure, and couples marginal demand models through a Gaussian copula using 160 ground motions.
7. Thermal and Structural Signatures Associated With Subducted Seamounts in Hyuga-nada and Off Cape Muroto, Southwest Japan
Core Problem: The physical mechanisms linking subducted seamounts, localized heat-flow anomalies, forearc strength, and slow-earthquake distribution remain uncertain.
Key Innovation: Combines BSR-derived heat-flow estimates, seismic structural interpretation, and three-dimensional thermal modeling at two Nankai sites to distinguish regional plate-age effects from localized seamount-related cooling and deformation.
8. Impact chain driven data management for multi-risk analysis at urban scale
Core Problem: Urban risk assessments often remain hazard-specific, data-intensive and unable to represent interacting hazards or indirect and intangible vulnerability.
Key Innovation: Extends impact chains to a harmonized seismic-and-heatwave framework, differentiates primary, short- and long-term effects, and integrates physical, social and economic geospatial indicators in a Genoa case study.
9. The 2025-2026 Iberian Atmospheric Rivers Exhibited Moisture Transport Resembling the Early SSP5-8.5 Climate Response
Core Problem: Determine whether the 2025–2026 Iberian atmospheric rivers already exhibited moisture-transport and precipitation characteristics expected under early SSP5-8.5 forcing.
Key Innovation: Links high-resolution WRF simulations, IPART detection and FLEXPART-WRF moisture tracking to compare observed-event dynamics with a transient climate-response benchmark.
10. Hydrodynamic and Sediment Response to Oyster Castles Under Wave Forcing: Insights From Laboratory Flume Experiments
Core Problem: Quantify the hydrodynamic and sediment-response mechanisms through which engineered oyster castles may protect erodible shorelines.
Key Innovation: Combines particle-image velocimetry, surface-elevation diagnostics and sediment visualization to compare bare and oyster-populated castle configurations under controlled wave energies.
11. Critical state line of copper tailings under different loading types: mineralogy effect
Core Problem: Mineralogy, grading, initial fabric, and loading path are commonly confounded, leaving the mineralogical control on tailings critical-state behavior unresolved.
Key Innovation: Compares two similarly graded but mineralogically distinct silty-sand copper tailings across triaxial and published simple-shear results, showing material-dependent uniqueness of critical-state lines and differences in critical-state friction.
12. Building Rigorous Pillar Datasets Using Visual Observations and Ground Penetrating Radar to Calibrate Pillar Failure Models
Core Problem: Pillar databases commonly rely on subjective visual failure labels without objective evidence that an intact core has been lost.
Key Innovation: Combines ground-penetrating radar and borehole-camera observations to construct a 78-pillar intact/failed database and calibrate both a power-law strength equation and a limit-equilibrium boundary-element model.
13. Discontinuity-Controlled Roadside Cut-Slope Instability Assessment by Integrating Rock Mass Classification, Kinematic Analysis, and Mineralogy in the Central Nepal Himalaya
Core Problem: Conventional rock-mass ratings can understate instability when adverse discontinuity orientation, weathering, mineralogy and excavation interact.
Key Innovation: Applies RMR, Q, quantified GSI, SMR, kinematic tests and XRD to the same 15 slopes, showing that orientation-aware SMR reclassifies most sites as unstable and that structural and mineralogical indicators provide complementary information.
14. Subsurface scouring erosion dynamics of loess vertical fissures: Insights from physical model experiments
Core Problem: Title-level focus: explain the dynamics by which subsurface flow scours and evolves vertical fissures in loess.
Key Innovation: Title-signalled approach or contribution: Uses physical model experiments to isolate a poorly observed subsurface erosion mechanism within fissured loess. Methods, data and results could not be assessed because no reliable abstract was available.
15. A unified nonlocal general particle dynamics framework for modeling debris flow inrush in tunnel engineering
Core Problem: Title-level focus: simulate initiation and propagation behavior of debris-flow inrush within a tunnel-engineering setting using a unified numerical formulation.
Key Innovation: Title-signalled approach or contribution: Introduces a unified nonlocal general-particle-dynamics framework tailored to debris-flow inrush. Methods, data and results could not be assessed because no reliable abstract was available.
16. Topology-preserving environmental regimes integrated with machine learning and explainable AI for wildfire susceptibility assessment
Core Problem: Title-level focus: estimate wildfire susceptibility while preserving meaningful environmental topology and retaining model interpretability.
Key Innovation: Title-signalled approach or contribution: Integrates topology-preserving environmental regimes with machine learning and explainable-AI analysis in one susceptibility framework. Methods, data and results could not be assessed because no reliable abstract was available.
17. Who is at risk? How engineered flood protection decouples vulnerability from flood probability in the Netherlands
Core Problem: Title-level focus: identify who remains vulnerable when structural flood protection lowers hazard probability but does not necessarily reduce exposure or susceptibility.
Key Innovation: Title-signalled approach or contribution: Frames engineered protection as a mechanism that can decouple vulnerability from event probability in a national flood-management context. Methods, data and results could not be assessed because no reliable abstract was available.
18. p-y curves for partially liquefiable soils obtained from element tests
Core Problem: Title-level focus: represent lateral soil resistance for foundations when liquefaction is partial rather than absent or complete.
Key Innovation: Title-signalled approach or contribution: Derives p-y curves from element tests specifically for partially liquefiable soil states. Methods, data and results could not be assessed because no reliable abstract was available.
19. Energy mechanism and modeling of watershed water-sediment event variations on the Loess Plateau
Core Problem: Title-level focus: explain and model variations among coupled runoff–sediment events using an energy-based mechanism.
Key Innovation: Title-signalled approach or contribution: Frames watershed water–sediment event variability through an energy mechanism and associated model. Methods, data and results could not be assessed because no reliable abstract was available.
20. Geomorphic evidence of a potentially active fault in the northeastern Canadian Cordillera
Core Problem: Title-level focus: determining whether landscape evidence records previously unrecognized or insufficiently characterized active faulting.
Key Innovation: Title-signalled approach or contribution: The title indicates a geomorphic evidence assessment, but the supplied abstract instead describes legacy seismic tomography across the Tintina fault and cannot support the paper's actual methods or results. Methods, data and results could not be assessed because no reliable abstract was available.
21. Probabilistic analysis of high-energy mine tremors using nonstationary epidemic-type aftershock sequence model: A case of 6306 working face in Dongtan Coal Mine, China
Core Problem: Title-level focus: mine-tremor sequences are nonstationary, so stationary occurrence models may inadequately represent evolving seismic hazard around a working face.
Key Innovation: Title-signalled approach or contribution: The paper applies a nonstationary epidemic-type aftershock sequence model to high-energy tremors at the Dongtan 6306 working face. Methods, data and results could not be assessed because no reliable abstract was available.
22. Post-disaster revisitation program: Assessment, safety, and mental health in the aftermath of the Lahaina 2023 wildfire.
Core Problem: Title-level focus: organizing post-disaster revisitation so physical safety assessment and survivor mental health are considered together.
Key Innovation: Title-signalled approach or contribution: The title indicates an integrated revisitation program linking assessment, safety and mental health after the 2023 Lahaina wildfire; no matching abstract is present in the raw log or Crossref record. Methods, data and results could not be assessed because no reliable abstract was available.
23. Should I Stay or Should I Go? Governmental Response to Climate Risks and Residents’ Resistance to Relocation across Europe
Core Problem: Title-level focus: understanding the governance and social barriers that shape whether residents accept or resist relocation from climate-risk areas.
Key Innovation: Title-signalled approach or contribution: The title signals a cross-European analysis linking governmental response with resident relocation resistance; the raw log and Crossref metadata do not provide an abstract, so study design and findings remain unverified. Methods, data and results could not be assessed because no reliable abstract was available.
24. Region and Boundary Accuracy in Zero-Shot Shoreline Extraction: A Benchmark of Segmentation-Native Vision-Language Models and Prompted SAM Pipelines
Core Problem: Zero-shot models may produce acceptable region overlap while localizing shorelines poorly, and their sensitivity to prompts and coastal setting is not well characterized.
Key Innovation: Benchmarks four VLM/SAM pipeline variants on 3,104 aerial images with separate region and boundary metrics, revealing weak metric agreement, architecture-dependent prompt effects and complete-failure rates of 11.2–27.4%.
25. LiDAR-Based Sub-Canopy Surface Water Detection in a Post-Mining Environment
Core Problem: Spectral imagery cannot reliably detect inundation beneath closed canopy, leaving post-mining water bodies and their elevations poorly observed.
Key Innovation: Uses the absence of near-infrared airborne-laser returns to delineate sub-canopy water and estimate water-surface elevations for three anthropogenic lakes formed after mine dewatering ceased.
26. Probabilistic assessment of supported excavations under demand-based sequential strut loss considering soil spatial variability
Core Problem: Title-level focus: assess supported-excavation reliability when struts are lost sequentially according to demand and soil properties vary spatially.
Key Innovation: Title-signalled approach or contribution: A probabilistic framework couples demand-based sequential strut loss with soil spatial variability. Methods, data and results could not be assessed because no reliable abstract was available.
27. AdaGeo-SR: Geo-semantic-guided super-resolution of sentinel-2 imagery with AlphaEarth foundation priors
Core Problem: Title-level focus: recover spatial detail in Sentinel-2 imagery while maintaining geographically meaningful semantic structure.
Key Innovation: Title-signalled approach or contribution: Conditions super-resolution on geo-semantic information and AlphaEarth foundation-model priors. Methods, data and results could not be assessed because no reliable abstract was available.
28. A spatiotemporal reconstruction framework for GRACE/GRACE-FO-derived groundwater storage anomalies based on historical phase-constrained gap filling and physics-guided global-local downscaling
Core Problem: Title-level focus: fill temporal gaps and downscale coarse GRACE/GRACE-FO groundwater-storage anomaly fields without discarding known phase behavior or physical structure.
Key Innovation: Title-signalled approach or contribution: Couples historical phase-constrained gap filling with physics-guided global–local downscaling. Methods, data and results could not be assessed because no reliable abstract was available.
29. Using an observation-based map of permafrost extent to inform permafrost predictions in a large Alaskan watershed
Core Problem: Title-level focus: improve permafrost-extent predictions across a large watershed using an observation-based reference map.
Key Innovation: Title-signalled approach or contribution: Uses an observation-based map of permafrost extent to inform regional prediction. Methods, data and results could not be assessed because no reliable abstract was available.
30. A WFP-Squares model for prediction of wave force on bridge piles: Theory, implementation and validation
Core Problem: Title-level focus: estimate wave-induced forces on bridge piles with a model that can be implemented and validated for engineering use.
Key Innovation: Title-signalled approach or contribution: Proposes a WFP-Squares formulation spanning theory, implementation and validation. Methods, data and results could not be assessed because no reliable abstract was available.
31. Conceptual Model of the Debarking Process of Large Wood in Rivers
Core Problem: Mechanical bark removal and associated volume changes during episodic river transport are usually omitted from models of large-wood mobility and accumulation.
Key Innovation: Uses controlled tumbling experiments and Structure-from-Motion volume measurements to separate expansion from abrasion, identify three debarking regimes, and propose a conceptual process model.
32. Improved GNSS-Based Estimates of Terrestrial Water Storage in California Through Suppression of Non-Elastic Loading Signals
Core Problem: Non-elastic signals and noise in GNSS vertical motion obscure the elastic loading component needed to recover spatially detailed water-storage change.
Key Innovation: Uses combined EOF analysis with GRACE-FO to isolate elastic loading, followed by regularized inversion on a 0.25-degree grid and validation against lake levels, recovering the 2022–2023 atmospheric-river-driven storage increase.
33. Nonlinear Latent-Space Data Assimilation for Sea Surface Height Reconstruction from Sparse Observations
Core Problem: High-dimensional, irregularly sampled ocean states can have strongly non-Gaussian posteriors that challenge conventional ensemble assimilation.
Key Innovation: Performs localized weighted ensemble updates in structured autoencoder latent space while evaluating likelihoods through the original physical observation operator; it reduces RMSE against 4DVarNet-SSH across several observation ratios.
34. Hydro-mechanical Compaction and Void Structure Evolution of Caved Rock Mass in Underground Mine Reservoirs
Core Problem: The coupled evolution of void structure and mechanical stability in water-saturated caved rock used for underground storage is poorly constrained.
Key Innovation: Couples confined compaction and acoustic-emission monitoring across two lithologies and five gradations, quantifies porosity evolution and proposes a fragment-scale mechanical interpretation of secondary compaction.
35. Thermal-Driven Transition from Dynamic Fracture to Pulverization of Granite Under Coupled High-Temperature and Impact Loading
Core Problem: How temperature, exposure duration and strain rate jointly lower the energy threshold for severe granite fragmentation.
Key Innovation: Uses grain-based finite-discrete-element modeling to map three failure regimes, relate fragment size to thermo-mechanical parameters and resolve contrasting mineral-scale roles.
36. A digital twin framework for real-time probabilistic forecasting of permeable pavement performance
Core Problem: Permeable-pavement hydraulic performance changes over time and is uncertain, limiting dependable real-time stormwater management.
Key Innovation: Couples a one-dimensional explicit-state hydrologic model with particle-filter assimilation of underdrain observations; an exact-title, exact-author preprint reports field evaluation on four pavement types, a 30% average gain in ensemble forecast skill and positive skill in 94.2% of events.
37. Strategies for correcting nonstationary resistivity-water content relations in time-lapse electrical resistivity tomography
Core Problem: Title-level focus: changing subsurface conditions make resistivity–water-content relations nonstationary, potentially confounding moisture interpretation through time.
Key Innovation: Title-signalled approach or contribution: The paper explicitly develops correction strategies for nonstationary petrophysical relations in time-lapse ERT. Methods, data and results could not be assessed because no reliable abstract was available.
38. A fiber Bragg grating-based multi-point vane shear device for measuring undrained shear strength of multi-layered clay
Core Problem: Title-level focus: measure vertical variability in undrained shear strength across multi-layered clay.
Key Innovation: Title-signalled approach or contribution: The paper introduces a fiber Bragg grating-based, multi-point vane-shear device for strength measurement across layered clay. Methods, data and results could not be assessed because no reliable abstract was available.
39. Interactions among cracking, pore structure, and hydrothermal responses in soils under wetting-drying-freeze-thaw cycles
Core Problem: Title-level focus: clarify how wetting-drying and freeze-thaw cycling couples visible cracking, pore structure and soil hydrothermal behavior.
Key Innovation: Title-signalled approach or contribution: The title identifies an integrated treatment of cracking, pore structure and hydrothermal response under combined wetting–drying and freeze–thaw cycling. Methods, data and results could not be assessed because no reliable abstract was available.
40. A two-stage transformer framework for reconstructing hourly 1 km all-weather land surface temperature using cross-scale transfer learning
Core Problem: Title-level focus: reconstruct spatially complete hourly land-surface temperature at 1 km resolution under all-weather conditions.
Key Innovation: Title-signalled approach or contribution: Combines a two-stage transformer with cross-scale transfer learning for spatiotemporal reconstruction. Methods, data and results could not be assessed because no reliable abstract was available.
41. Chemo-stress coupled damage constitutive model for environmentally eroded carbonate rock and its application to long-term safety of deep tunnel linings
Core Problem: Title-level focus: represent damage accumulation in chemically eroded carbonate rock under stress and translate it to tunnel-lining safety assessment.
Key Innovation: Title-signalled approach or contribution: A chemo–stress coupled constitutive model is linked explicitly to long-term deep-tunnel performance. Methods, data and results could not be assessed because no reliable abstract was available.
42. Evolution mechanism of connected damage during large deformation in a soft rock tunnel
Core Problem: Title-level focus: explain how spatially connected damage develops as a soft-rock tunnel undergoes large deformation.
Key Innovation: Title-signalled approach or contribution: Focuses on the evolution of damage connectivity rather than deformation magnitude alone. Methods, data and results could not be assessed because no reliable abstract was available.
43. Intelligent classification method for surrounding rock in subsea tunnels: multi-source parameter perception and model construction
Core Problem: Title-level focus: classify surrounding-rock conditions in subsea tunnels from heterogeneous sensed parameters.
Key Innovation: Title-signalled approach or contribution: Combines multi-source parameter perception with an intelligent classification model. Methods, data and results could not be assessed because no reliable abstract was available.
44. Beaufort-geometry ordinal learning for cross-domain sea-state image classification
Core Problem: Title-level focus: classify ordered sea states robustly when imagery shifts across domains.
Key Innovation: Title-signalled approach or contribution: Embeds Beaufort-scale geometry into ordinal learning for cross-domain classification. Methods, data and results could not be assessed because no reliable abstract was available.
45. Atmospheric Water Vapor Monitoring on Horseshoe Island, Antarctica: GNSS Observations at the Permanent TUR1 and TUR2 Stations Using a Regional Tm Calibration
Core Problem: Global weighted-mean-temperature models do not adequately represent Antarctic atmospheric structure, degrading GNSS precipitable-water-vapor estimates.
Key Innovation: Derives a regional temperature parameterization from radiosondes and validates GNSS PWV against ERA5, obtaining a 2.90 K temperature-model RMSE and a PWV correlation of 0.95 with 1.65 mm RMSE.
46. Comparing Irrigation Identification Methods in Colorado: Limitations of Downscaled SMAP Soil Moisture
Core Problem: Whether downscaled SMAP soil moisture can support field-scale classification over large, heterogeneous regions.
Key Innovation: Tests five identification methods across crop types, irrigation systems and three depths over 2015–2024, finding uniformly poor skill and diagnosing spatially blocky outputs as a scale-dependent limitation.
47. Dual-Branch GCN-Mamba Network with Semantic-Guided Meta-Learning for Multimodal Remote Sensing Classification
Core Problem: Multimodal classifiers trained with few labels may learn semantic priors that fail to adapt to the current task distribution.
Key Innovation: Combines dynamic-graph semantic priors, Mamba long-range context and a two-stage meta-learning/fusion scheme, with evaluation on three standard land-cover datasets.
48. Delay-induced bifurcations and hyper-chaotic behavior in shallow-water wave dynamics
Core Problem: Title-level focus: determine how delayed interactions generate bifurcations and hyper-chaotic behavior in a shallow-water wave system.
Key Innovation: Title-signalled approach or contribution: Introduces delay effects into a bifurcation and hyper-chaos analysis of shallow-water dynamics. Methods, data and results could not be assessed because no reliable abstract was available.