Blast effects and energy transfer in near-ground explosions differ significantly from underground scenarios,particularly in terms of ground shock propagation and energy coupling mechanisms across various geological co...Blast effects and energy transfer in near-ground explosions differ significantly from underground scenarios,particularly in terms of ground shock propagation and energy coupling mechanisms across various geological conditions.This study employs centrifuge modeling to simulate near-ground explosions in sandy soil,including surface explosions and airbursts.The focus was on blast-induced cratering,ground shock effects,and energy coupling in sandy foundations.Scaling laws for crater dimensions and ground shock parameters were established and validated based on experimental results.The"modeling of models"series showed good consistency in crater measurements,leading to an empirical formula for estimating crater radius in dry sand.For surface explosions,soil acceleration responses showed single peaks in the central zone(horizontal standoff distance<0.6 m/(kg)1/3)and dual peaks in the near-surface zone(0.79-1.2 m/(kg)1/3)due to combined effects of direct and airburst-induced ground shock.Empirical methods were developed to predict peak acceleration distributions in sandy foundations.Utilizing crater measurements and ground shock propagation laws,a computational approach for evaluating energy transmission in soil foundations was proposed.The study also developed prediction curves for ground shock energy coupling coefficients with scaled blast depth/height,providing a unified model for both underground and near-ground explosions in sandy foundations.The research findings can enhance the methodologies for simulating blast effects and offer a scientific basis for optimizing weapon effectiveness and protective engineering design.展开更多
The accurate preforming modelling of 3D woven fabrics is essential for their forming quality control and optimization.However,their tension-shear coupling during preforming is not considered in the existing models.To ...The accurate preforming modelling of 3D woven fabrics is essential for their forming quality control and optimization.However,their tension-shear coupling during preforming is not considered in the existing models.To address this issue,an anisotropic hyperelastic constitutive model considering the tension-shear coupling was established for 3D woven fabrics.A picture frame tester was designed and manufactured to investigate tension-shear coupling effect.The results show that the fiber pre-tension can significantly enhance the shear resistance of 3D woven fabrics.The biaxial pre-tension of 1.5%can increase the in-plane shear force by up to 2.25 times compared to that in the pure in-plane shear.The identified tension-shear coupling parameters were integrated into the hyperelastic constitutive model and were implemented via user subroutine in Abaqus.The model’s effectiveness was verified by the hemispherical and fan blade forming experiments.The proposed coupled model demonstrates higher prediction accuracy than the uncoupled model in terms of shear angle and force,which provides a valuable tool for the optimization of forming process of 3D woven fabric.展开更多
In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel acc...In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel according to the functions of each layer of materials,and the thermal–mechanical response was analyzed by experimental tests and numerical simulations.First,infrared lamp facility and arcjet wind tunnel tests were used to check the accuracy of the model and calculate the heat-shielding index.Then,using the aerodynamic heat flow and pressure of the vehicles re-entry process,the temperature field and thermal deformation of the thermal protection system were analyzed according to the thermal–mechanical coupling analysis,and its performance requirements as a vehicles shell were evaluated.Analysis show that the thermomechanical properties of each layer were mismatched due to thermal deformation,resulting in debonding at the interlayer interface,which was also observed in the experiment.In addition,a 1 mm gap in the insulation tile promotes the release of thermal stress and reduces interlayer disbonding.According to the multi-scale model,10 thermal cycles(corresponding to the flight process) were analyzed,and the failure and damage evolution process of C/C composites at the microscopic level were revealed.The results of thermal cycling show that the microscopic damage started from the interfacial debonding of the fiber/matrix and ended with the connection of the pores through crack propagation in the matrix.This study provides a solution for analyzing the thermal–mechanical response of a thermal protection system and a design solution for improving reusability.展开更多
The formation and development of natural fractures in tight sandstone reservoirs are governed by a combination of stratigraphic structure,lithological properties,and stress conditions.These fractures often exhibit irr...The formation and development of natural fractures in tight sandstone reservoirs are governed by a combination of stratigraphic structure,lithological properties,and stress conditions.These fractures often exhibit irregular geometries,signicant variations in height,and complex lling materials,leading to intricate conventional logging responses with pronounced multi-solution ambiguities that complicate accurate identication.To address this challenge,this study proposes a multi-model selective coupling identication method.This approach incorporated data cleaning,augmentation,and resampling techniques during the preprocessing phase.Subsequently,multi-dimensional feature extraction and cascade-based feature selection were performed,followed by optimizing model parameters using random search,Bayesian optimization,and grid search algorithms.High-performing models were selected via an evaluation framework.These models were then coupled through voting mechanisms to construct a robust identication model capable of deeply exploring the nonlinear relationship between fractures and logging data.The proposed method achieved an 85.19%fracture identication accuracy in blind tests involving 27 fracture segments across three wells,demonstrating strong identication capability.This methodology provides a valuable reference for fracture identication in hydrocarbon reservoirs within the Hongde area.展开更多
Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Couple...Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Coupled Controlled Split Hopkinson Pressure Bar(MCC-SHPB)system to elucidate the cross-scale dynamic responses of rocks and the boundaries of failure modes under THM coupling.Impact tests were conducted on green sandstone under coupled conditions of temperature(25℃-80℃),confining pressure(0-15 MPa),and seepage water pressure(0-15 MPa).Scanning electron microscopy(SEM)microstructural characterization and COMSOL Multiphysics numerical simulations were conducted,and a dynamic constitutive theoretical framework and failure-prediction methodology were established.We investigated the impact toughness index(It),dynamic modulus(Ed),dynamic triaxial compressive strength(TCSd),fragmentation degree(W),and failure modes of green sandstone under thermo-confining pressure-seepage-impact loading conditions.The key findings reveal that the(It)reflects different energy regulation mechanisms across different confining pressure regimes.Thermal-microcrack interactions dominate at low pressure,and energy absorption prevails at high pressure.A triphasic dynamic modulus model captures stiffness evolution under energy-driven conditions,revealing cross-scale crack nucleation-propagation and fragment reorganization.The TCSd inflection point signifies energy dissipation shifts,causing nonlinear skeleton bearing-capacity degradation.A critical criterion based on the W was established to distinguish between the two failure modes and predict the unstable failure initiation.Numerical simulations were used to elucidate the effects of inertia-dominated crack propagation and stress wave interference,validating the critical criterion and the predictive accuracy of the theoretical model during cross-scale failure.This study provides a theoretical foundation for assessing the dynamic stability of rock masses subjected to multi-field coupling during deep resource exploitation.展开更多
The axle box bearings of high-speed trains often operate in extremely harsh environments,bearing loads from different directions.Long-term operation and frequent changes in working conditions can easily lead to axle b...The axle box bearings of high-speed trains often operate in extremely harsh environments,bearing loads from different directions.Long-term operation and frequent changes in working conditions can easily lead to axle box bearing failures.Therefore,it is extremely important to study the mechanism of axle box bearings.Firstly,the medium of thermal deformation establishes a coupling relationship between the system dynamics model and the thermal grid model,and then obtains the thermal force coupling model of the high-speed train axle box bearing.The coupling model is validated from the perspectives of system dynamics response and temperature response,proving its effectiveness in system dynamics response and temperature characteristic response.Comparing the coupling model with the dynamics model,it is found that thermal deformation complicates the dynamic re-sponse.Finally,using the Lundberg-Palmgren(L-P)bearing fatigue calculation method and damage accumu-lation theory,the bearing fatigue life is calculated,and it is found that thermal deformation deteriorates the bearing operating environment,reducing the bearing fatigue life.Finally,by comparing the bearing fatigue life under different working conditions,it is concluded that the faster the vehicle speed,the greater the load,and the smaller the initial radial clearance of the bearing,the fatigue life of the bearing is reduced.The shorter the lifespan.展开更多
As the smart transportation system continues to evolve,the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management.T...As the smart transportation system continues to evolve,the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management.Traditional field tests are limited by specific operational scenarios,narrow coverage of driving conditions,high equipment wear and maintenance costs,and fail to meet the rigorous performance verification requirements under complex environments.This study integrates theories from mechanics,thermodynamics,and electromagnetism to establish a virtual simulation framework for traffic measurement equipment,enabling accurate replication of real-world operating conditions,conducting performance simulations,and facilitating continuous model refinement.This approach overcomes the limitations inherent in single-physical-field simulations.The outcomes provide robust digital support for equipment performance testing,structural optimization,and condition-specific calibration,thereby advancing the development and modernization of measurement systems in smart transportation applications.展开更多
To investigate the effects of water and cyclic loading on dolomite’s mechanical properties during deep mining,mechanical experiments on non-pressure water absorption and cyclic loading were conducted.The findings rev...To investigate the effects of water and cyclic loading on dolomite’s mechanical properties during deep mining,mechanical experiments on non-pressure water absorption and cyclic loading were conducted.The findings reveal that the elastic modulus and Poisson ratio of dolomite fluctuate with increasing water content.The mass of water absorption is positively correlated with time and the water absorption stage can be divided into three stages:accelerated,decelerated,and stabilized stages.During this process,the number of pores in dolomite increases,while the pore diameter initially decreases and then fluctuates.Microscopic analysis shows that the proportion of mesopores first increases and then decreases,while micropores exhibit the opposite trend,and the proportion of macropores fluctuates around 0%.A model diagram of structural evolution during water absorption has been developed.Additionally,the softening process of dolomite’s water absorption strength is categorized into three stages:a relatively stable stage,an accelerated softening stage dominated by mesopore water absorption,and a decelerated softening stage characterized by micropore water absorption.A uniaxial damage constitutive model for dolomite under water influence was established based on the Weibull distribution and Mohr-Coulomb strength criterion,and experimental validation indicates its strong applicability.展开更多
To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstrati...To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstration fusion reactors.The primary objective of the CFETR is to achieve fusion energy transformation and tritium self-sufficiency,which is realized through the function of the blanket.In this study,a neutronicshermal-hydraulics/mechanics coupling method is developed and applied to a helium-cooled ceramic breeder(HCCB)blanket,which is one of the two blanket candidates for the CFETR.A three-dimensional full-scale model is utilized in the coupling analysis to obtain the distributions of the neutronic,thermal-hydraulic,and mechanical parameters.A structural assessment of the CFETR HCCB blanket is then conducted considering steady-state conditions and two transient scenarios.The results demonstrate that following optimization of the blanket structure,the maximum temperatures of the different components remain below the safety limit of the corresponding materials.The structural assessment indicates that the blanket maintains its structural integrity under steady-state conditions.However,immediately after an in-box loss-of-coolant accident,structural failure owing to stress concentration may occur.Additionally,in the early stage of a loss-of-flow accident,the stress at the joint point between the cooling plate and cap exceeds the allowable stress of the material,potentially leading to structural failure within 17 s if no protective response is implemented.These findings provide comprehensive insights into the performance and safety of the CFETR HCCB blanket design.展开更多
The thermal-hydraulic coupling processes in moraine soils containing frozen inclusions are prevalent in cold alpine regions(for example,the Tibetan Plateau)and closely linked to various mountainous geological hazards....The thermal-hydraulic coupling processes in moraine soils containing frozen inclusions are prevalent in cold alpine regions(for example,the Tibetan Plateau)and closely linked to various mountainous geological hazards.Despite extensive research,characterizing this coupling process remains challenging.This study investigates the evolution of the thermal-hydraulic properties of moraine soils containing frozen inclusions under warm water flow,considering key parameters and phase change.Parameter values were calibrated using field and laboratory data.The simulation results show the monotonic trend of outlet temperature,ice content and permeability.Thermal conductivity,soil porosity,fluid temperature,frozen inclusion content,and initial matrix permeability play predominant roles in the evolution process.Based on these findings,comprehensive models to quantitatively characterize the seepage evolution process were developed and discriminant models for two equilibrium states were established,incorporating critical factors.Furthermore,an in-depth discussion on the simulation of the phase-change process and the selection of the relative permeability range was provided.The findings enhance our understanding of thermal-hydraulic coupling processes in moraine soils and offer a valuable reference framework for future studies in this field.展开更多
To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests ...To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests were conducted,and a corresponding piecewise damage constitutive model(PDCM)was established.We found that both dry-wet cycling and precompression stress deteriorate the physical properties,alter the microscopic characteristics,and reduce the mechanical properties of the LHF.These degradations are particularly pronounced under the CEDWCPS,although the magnitude of these changes gradually diminishes with the progression of dry-wet cycling.Meanwhile,they also reduce the deformation degree,prolong the micropore compaction stage,shorten the unstable crack propagation stage,lower the frequency and intensity of AE events,decrease the high-amplitude and high-frequency AE signals,enlarge crack scales,and shorten the crack initiation time.Among the changes of these indicators,the dry-wet cycling plays a dominant role.The crack types of LHF under the CEDWCPS(LHFCEDWCPS)are predominantly tensile cracks,supplemented by shear cracks.The failure mode can be defined as tensileshear composite failure.Finally,the established PDCM effectively captures the nonlinear deformation of micropore and the linear deformation of the matrix in LHFCEDWCPS,with all corresponding R2 consistently exceeding 0.97.展开更多
The multi-branch horizontal wells can improve the reservoir dynamic flow profile,restrain water coning,enhance production and recovery efficiency due to large drainage area and low cost,and it is significant importanc...The multi-branch horizontal wells can improve the reservoir dynamic flow profile,restrain water coning,enhance production and recovery efficiency due to large drainage area and low cost,and it is significant importance for academic research and industrial applications.However,the effects of branches interference and wellbore variable mass flow on transient dynamics of water breakthrough,production characteristics and recovery efficiency have long been ignored.To dynamically simulate and evaluate the fluid flow behavior of multilateral horizontal wells,first,the branches interference and coupled relationship between reservoir fluid seepage and wellbore variable mass flow has been investigated in this paper,a coupled model for predicting multilateral horizontal wells dynamic production and water breakthrough time is proposed with arbitrary three-dimensional spatial distribution.Subsequently,the model is validated by comparing the production and breakthrough time between actual production data and simulated software.Last,the performance characteristics including inflow dynamics,production,wellbore pressure drop and water breakthrough dynamic distribution are analyzed.The results indicate that the unstable flow time is shorten and it is about 0.6 h,and the wellbore inflow profile represents a characteristic of"low in the middle and high at both ends"on account of branches interference.The pressure drop of wellbore is mainly affected by friction,and other pressure drop types are acceleration pressure drop,convergence pressure drop and mixed pressure drop in order of influence,respectively.The breakthrough time is prior at junction of main wellbore and branch wellbores,then the bottom water spreads to the middle position of main wellbore and trailing position of each branch wellbore.The branch length has a critical impact on breakthrough time,and the branch numbers also affect it as well as the branch angle.The proposed theoretical model can be used to calculate and predict the production,breakthrough time and recovery efficiency of multilateral horizontal wells,and it supplies strong technical support for further development and enhance oil recovery of bottom water reservoir and actual oil field production.展开更多
Prediction of permeability changes in surrounding rock induced by engineering disturbances is crucial for mitigating tunnel water inrush accidents.This study investigates the progressive failure characteristics and pe...Prediction of permeability changes in surrounding rock induced by engineering disturbances is crucial for mitigating tunnel water inrush accidents.This study investigates the progressive failure characteristics and permeability evolution of hard and soft rocks subjected to triaxial compression.A series of laboratory tests were conducted at confining pressures ranging from 4 to 20 MPa.Experimental results demonstrate that rock permeability variation with strain shows three distinct stages:an initial decrease,a stage of rapid mutation,and a postpeak increase.The concept of critical permeability barrier strength is introduced,representing the stress level at which continuous fracture formation enables significant seepage.Furthermore,two generalized permeability–stress models are developed for soft and hard rocks.The predicted permeability values obtained from these models align well with the experimental data.These findings offer valuable insights into the hydro-mechanical coupling behavior of rocks,providing a foundation for safe construction practices in underground engineering.展开更多
Plant functional traits are key for understanding the adaptive strategies to environments,and fine roots play a crucial role in nutrient acquisition.Examining the variation of functional traits of fine root and soil p...Plant functional traits are key for understanding the adaptive strategies to environments,and fine roots play a crucial role in nutrient acquisition.Examining the variation of functional traits of fine root and soil physicochemical properties,and investigating their coupling relationships and dominating factors,could provide a theoretical foundation for ecological restoration in the burned forest.We established 12 plots within Pinus tabuliformis Carrière forests subjected to light,moderate and severe fire severities.Through detailed analysis of fine roots and soil physicochemical properties,we evaluated the variations and coupling effects in fine root functional traits and soil properties using the Coupling Coordination Degree Model and Partial Least Squares Path Modeling.Our results showed significant differences in the functional traits of fine root and soil physicochemical properties across fire severities(P<0.05).The coupling coordination degrees between fine root functional features and soil physicochemical properties ranged from 0.4 to 0.6,with the following order:unburned,moderate,severe and light severity.Forest fire negatively impacted the coupling coordination degree indirectly,primarily influenced by the direct positive effects of fine root morphological traits(e.g.,specific root length)and soil nutrient properties(e.g.,nitrogen and available phosphorus).The synergistic recovery of fine root-soil systems in Pinus tabuliformis forests was most pronounced following moderate fire severity,showing a medium-level coordination degree.For light-severity fires,enhancing fine root morphological characteristics through soil warming is recommended.In contrast,it is suggested to apply appropriate nitrogen and soil fertilizers for improving soil conditions after severe fire.展开更多
Effective proppant placement in multi-cluster hydraulic fractures is crucial for shale gas fracturing;however,existing numerical methods face challenges in accurately coupling dynamic fracture propagation with suspend...Effective proppant placement in multi-cluster hydraulic fractures is crucial for shale gas fracturing;however,existing numerical methods face challenges in accurately coupling dynamic fracture propagation with suspended-load transport,bed erosion,and accumulation at the field scale.To address this,a coupled solution integrating the DDM with an improved TLM was developed.This solution incorporates a logarithmic near-bed velocity profile to refine bed shear stress calculations,thereby capturing dynamic flow allocation,fracture-tip extension,and proppant bed evolution within a unified framework.The key findings are:(1)Increasing spacing from 6 m to 25 m minimizes stress interference,reducing flow allocation disparities among clusters by 96%,thereby promoting more uniform fracture propagation and bed-load transport;(2)Higher rates elevate net pressure and reduce pressure drop differences across perforations but increase shear within fractures,exacerbating proppant placement disparities;(3)As viscosity increases from 3 mPa·s to 5 mPa·s,bed-load transport differences intensify,causing a sevenfold rise in placement discrepancies;at 10 mPa·s most proppants remain suspended,transitioning to a suspended-load transport regime and nearly eliminating inter-cluster distribution differences;(4)Larger proppants tend to accumulate near fracture inlets,which can help ensure more uniform inter-cluster distribution.In contrast,smaller proppants are more susceptible to flow variations,often resulting in uneven placement across clusters.(5)Additionally,under high proppant concentrations,proppant dunes reach equilibrium sooner,and creeping motion dominates particle transport,significantly reducing inter-cluster placement non-uniformity.The proposed coupled DDM–TLM model can reasonably predict proppant behavior in multi-cluster fractures and underpins the optimization of shale gas fracturing treatments.展开更多
Ecosystem services(ESs)are crucial for human survival and development,and changes in ESs are closely linked to both the natural environment and human activity.As counties have become the fundamental unit of China’s n...Ecosystem services(ESs)are crucial for human survival and development,and changes in ESs are closely linked to both the natural environment and human activity.As counties have become the fundamental unit of China’s new urbanization,investigating the dynamic processes of ESs,the driving mechanisms,and their coupling with urbanization at the county scale holds significant theoretical and practical value.However,further research is still needed to analyze the persistent impact of county-scale urbanization on the ecological environment and the coupling relationship between them.This study measured the spatio-temporal characteristics of ESs and urbanization level(UL)in the Yellow River Basin(YRB)from 2000–2020 at county scale,utilizing multi-period land use,meteorological,and statistical data.Subsequently,the research investigated the effects of anthropogenic and natural factors on comprehensive ecosystem services(CES),as well as the coupling relationship between the UL and CESs.The results revealed fluctuating ES levels across different periods,characterized by a general upward trend.Geographically,lower levels were observed in the eastern plain and western desert areas,while higher levels were observed in the central transition area.From 2000–2020,the impervious surface area,population,and gross domestic product(GDP)of the YRB increased consistently.The UL decreased gradually from the southeast to the northwest,with high levels concentrated in city centers.Among anthropogenic factors,population agglomeration and land development significantly influenced CES,with their impact intensifying over time.Slope and elevation were identified as the primary natural factors affecting CES.During the study period,the overall coupling coordination degree of the UL and CES in each county increased,albeit with notable spatial disparities.Regarding synchronization types,the number of downstream counties experiencing ecological losses increased.This study provides insights for managing the relationship between urbanization and ecosystems and offers a framework to migrate the conflict between regional socioeconomic development and the natural environment in the YRB.展开更多
Accurate and efficient hydrological simulation is critically important to sustainable water resources management amidst escalating climate change.As an indispensable scientific tool,hydrological modeling employs mathe...Accurate and efficient hydrological simulation is critically important to sustainable water resources management amidst escalating climate change.As an indispensable scientific tool,hydrological modeling employs mathematical frameworks and computational techniques to quantitatively characterize hydrological processes,thereby playing a vital role in water resources assessment,the prediction and management of extreme hydrological events,and climate change impact evaluation.This review article systematically synthesizes recent advances in traditional hydrological models while critically examining their inherent methodological limitations.It further delineates the evolutionary trajectory of machine learning(ML)techniques in hydrological simulation and highlights the comparative advantages of data-driven ML approaches over conventional paradigms.Through a rigorous analysis of contemporary research,this review article establishes that coupling physically-based hydrological models with data-driven ML architectures represents the most promising pathway for overcoming fundamental bottlenecks in hydrological simulation.Furthermore,this review article concludes by identifying persistent challenges within existing coupling frameworks and projecting key future research directions in this rapidly evolving field.展开更多
In Earth system modeling,the land surface is coupled with the atmosphere through surface turbulent fluxes.These fluxes are computed using mean meteorological variables between the surface and a reference height in the...In Earth system modeling,the land surface is coupled with the atmosphere through surface turbulent fluxes.These fluxes are computed using mean meteorological variables between the surface and a reference height in the atmosphere.However,the dependence of flux computation on the reference height,which is usually set as the lowest level in the atmosphere in Earth system models,has not received much attention.Based on high-resolution large-eddy simulation(LES)data under unstable conditions,we find the setting of reference height is not trivial within the framework of current surface layer theory.With a reasonable prescription of aerodynamic roughness length(following the setting in LESs),reference heights near the top of the surface layer tend to provide the best estimate of surface fluxes,especially for the momentum flux.Furthermore,this conclusion for the sensible heat flux is insensitive to the ratio of roughness length for momentum versus heat.These results are robust,whether using the classical or revised surface layer theory.They provide a potential guide for setting the proper reference heights for Earth system modeling and can be further tested in the near future using observational data from land–atmosphere feedback observatories.展开更多
Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con...Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con-flicts among production,living and ecological land are prevalent in coastal cities in the process of maintaining sustainable wetland resources and further developing the social economy.By establishing an SD-PLUS-CCD cou-pling model,this paper analysed the evolution characteristics and driving mechanism of the production-living-ecological space(PLES)and the effects of wetland protection(WLP)on promoting or inhibiting the coordinated development of the PLES in Dongying city during 2005-2060.The results show that(1)from 2005 to 2020,the increase in urban population resulted in a significant transfer of arable land and a reduction of 914 km2 in pro-duction space(PS);(2)from 2020 to 2060,under the WLP scenario,the conversion of wetland ecological space will reduce the PS and living space(LS)by 193.92 km2 and 107.14 km2,respectively,and increase the ecological space(ES)by 327.52 km2;and(3)wetland protection has an inhibitory effect on the coordinated development of PLES in the study area,and the total proportion of noncoordinated areas of PE and living-ecological space will continue to increase during the simulation period.This paper provides a solid theoretical support for the sustain-able management and protection of wetlands in coastal cities and possible PLES conflict patterns and provides a scientific basis for future territorial spatial planning and policy balance analysis.展开更多
Various physics-based dynamical and data-based statistical models have been developed for uses in predicting sea surface temperature(SST)evolution in relation to the El Niño-Southern Oscillation(ENSO)over the tro...Various physics-based dynamical and data-based statistical models have been developed for uses in predicting sea surface temperature(SST)evolution in relation to the El Niño-Southern Oscillation(ENSO)over the tropical Pacific.At present,clear limitations remain in their ENSO predictions,with predicted SST anomalies(SSTAs)being widely spread across diverse models and considerable inter-model uncertainty.Fortunately,deep learning(DL)-based modeling has recently made promising advances in ENSO prediction tasks;numerous neural networks(NNs)have been constructed for ENSO predictions.However,most NNs themselves are purely data-driven and lack constraints of the necessary physical processes in the coupled system;there are few studies in which DL models are directly integrated with physics-based dynamical models.Previously,such a new type of intermediate coupled models(ICMs)was developed by directly integrating U-Net-derived sea surface wind stress models with an intermediate ocean dynamical model(denoted as ICM-UNet),with demonstrated success in simulating ENSO evolutions in freely coupled runs.It is thus natural to take a step further for prediction applications.In this study,this new ICM-UNet is applied for retrospective ENSO predictions,the first time that such a fusion of DL atmospheric model and dynamical oceanic model with different architectures can be achieved to make ENSO predictions.The overall evaluations indicate that the ICM-UNet yields valid retrospective predictions during the period 1995–2023,confirming that the ICM-UNet is a credible ocean-atmosphere coupled model for ENSO predictions.In case studies during 2020–2023,the ICM-UNet predictions reveal that SSTAs over the equatorial Pacific evolved into a second-year cooling in late 2021 and a warming tendency in 2023,forming a three-year La Niña and an El Niño event thereafter,which is consistent with the reality.The ICM-UNet successful fusion,taking advantage of both the physical constraints due to dynamical oceanic models and nonlinear representations of wind responses due to DL capacity,further underscores the high adaptability of integrating data-driven NNs into the ocean-atmosphere coupled modeling for ENSO-related studies.展开更多
基金supported by the National Natural Science Foundation of China(Grant No.52588202)under the project''Multiphase Media Evolution in Hypergravity''.
摘要Blast effects and energy transfer in near-ground explosions differ significantly from underground scenarios,particularly in terms of ground shock propagation and energy coupling mechanisms across various geological conditions.This study employs centrifuge modeling to simulate near-ground explosions in sandy soil,including surface explosions and airbursts.The focus was on blast-induced cratering,ground shock effects,and energy coupling in sandy foundations.Scaling laws for crater dimensions and ground shock parameters were established and validated based on experimental results.The"modeling of models"series showed good consistency in crater measurements,leading to an empirical formula for estimating crater radius in dry sand.For surface explosions,soil acceleration responses showed single peaks in the central zone(horizontal standoff distance<0.6 m/(kg)1/3)and dual peaks in the near-surface zone(0.79-1.2 m/(kg)1/3)due to combined effects of direct and airburst-induced ground shock.Empirical methods were developed to predict peak acceleration distributions in sandy foundations.Utilizing crater measurements and ground shock propagation laws,a computational approach for evaluating energy transmission in soil foundations was proposed.The study also developed prediction curves for ground shock energy coupling coefficients with scaled blast depth/height,providing a unified model for both underground and near-ground explosions in sandy foundations.The research findings can enhance the methodologies for simulating blast effects and offer a scientific basis for optimizing weapon effectiveness and protective engineering design.
基金financially supported by the Aeronautical Science Foundation of China(No.2020Z068053001)the National Natural Science Foundation of China(Nos.12302191,52375383)the AECC Independent Innovation Special Fund Project,China(No.ZZCX-2021-022).
摘要The accurate preforming modelling of 3D woven fabrics is essential for their forming quality control and optimization.However,their tension-shear coupling during preforming is not considered in the existing models.To address this issue,an anisotropic hyperelastic constitutive model considering the tension-shear coupling was established for 3D woven fabrics.A picture frame tester was designed and manufactured to investigate tension-shear coupling effect.The results show that the fiber pre-tension can significantly enhance the shear resistance of 3D woven fabrics.The biaxial pre-tension of 1.5%can increase the in-plane shear force by up to 2.25 times compared to that in the pure in-plane shear.The identified tension-shear coupling parameters were integrated into the hyperelastic constitutive model and were implemented via user subroutine in Abaqus.The model’s effectiveness was verified by the hemispherical and fan blade forming experiments.The proposed coupled model demonstrates higher prediction accuracy than the uncoupled model in terms of shear angle and force,which provides a valuable tool for the optimization of forming process of 3D woven fabric.
基金supported by grants from the National Key R&D Program of China(No.2022YFB3709100)。
摘要In this study,an integrated thermal protection system was formed by bonding the Carbon/Carbon(C/C) composite thermal insulation layer and carbon foam thermal insulation tile on an aluminum honeycomb sandwich panel according to the functions of each layer of materials,and the thermal–mechanical response was analyzed by experimental tests and numerical simulations.First,infrared lamp facility and arcjet wind tunnel tests were used to check the accuracy of the model and calculate the heat-shielding index.Then,using the aerodynamic heat flow and pressure of the vehicles re-entry process,the temperature field and thermal deformation of the thermal protection system were analyzed according to the thermal–mechanical coupling analysis,and its performance requirements as a vehicles shell were evaluated.Analysis show that the thermomechanical properties of each layer were mismatched due to thermal deformation,resulting in debonding at the interlayer interface,which was also observed in the experiment.In addition,a 1 mm gap in the insulation tile promotes the release of thermal stress and reduces interlayer disbonding.According to the multi-scale model,10 thermal cycles(corresponding to the flight process) were analyzed,and the failure and damage evolution process of C/C composites at the microscopic level were revealed.The results of thermal cycling show that the microscopic damage started from the interfacial debonding of the fiber/matrix and ended with the connection of the pores through crack propagation in the matrix.This study provides a solution for analyzing the thermal–mechanical response of a thermal protection system and a design solution for improving reusability.
基金supported by the"Tianchi Talents"Program of the Xinjiang Uygur Autonomous Region(Project No.51052300560)National Natural Science Foundation of China(Project No.42464006)the Open Fund Project of Key Laboratory of Oil and Gas Resources Research of the Gansu Province(Project No.SZDKFJJ2023007).
摘要The formation and development of natural fractures in tight sandstone reservoirs are governed by a combination of stratigraphic structure,lithological properties,and stress conditions.These fractures often exhibit irregular geometries,signicant variations in height,and complex lling materials,leading to intricate conventional logging responses with pronounced multi-solution ambiguities that complicate accurate identication.To address this challenge,this study proposes a multi-model selective coupling identication method.This approach incorporated data cleaning,augmentation,and resampling techniques during the preprocessing phase.Subsequently,multi-dimensional feature extraction and cascade-based feature selection were performed,followed by optimizing model parameters using random search,Bayesian optimization,and grid search algorithms.High-performing models were selected via an evaluation framework.These models were then coupled through voting mechanisms to construct a robust identication model capable of deeply exploring the nonlinear relationship between fractures and logging data.The proposed method achieved an 85.19%fracture identication accuracy in blind tests involving 27 fracture segments across three wells,demonstrating strong identication capability.This methodology provides a valuable reference for fracture identication in hydrocarbon reservoirs within the Hongde area.
基金supported by the National Natural Science Foundation of China(Grant Nos.12272411 and 42007259).
摘要Deep rock engineering is affected by coupled thermo-hydro-mechanical(THM)-dynamic fields,necessitating the elucidation of the dynamic mechanical behavior and failure mechanisms.This study utilized a Multi-field Coupled Controlled Split Hopkinson Pressure Bar(MCC-SHPB)system to elucidate the cross-scale dynamic responses of rocks and the boundaries of failure modes under THM coupling.Impact tests were conducted on green sandstone under coupled conditions of temperature(25℃-80℃),confining pressure(0-15 MPa),and seepage water pressure(0-15 MPa).Scanning electron microscopy(SEM)microstructural characterization and COMSOL Multiphysics numerical simulations were conducted,and a dynamic constitutive theoretical framework and failure-prediction methodology were established.We investigated the impact toughness index(It),dynamic modulus(Ed),dynamic triaxial compressive strength(TCSd),fragmentation degree(W),and failure modes of green sandstone under thermo-confining pressure-seepage-impact loading conditions.The key findings reveal that the(It)reflects different energy regulation mechanisms across different confining pressure regimes.Thermal-microcrack interactions dominate at low pressure,and energy absorption prevails at high pressure.A triphasic dynamic modulus model captures stiffness evolution under energy-driven conditions,revealing cross-scale crack nucleation-propagation and fragment reorganization.The TCSd inflection point signifies energy dissipation shifts,causing nonlinear skeleton bearing-capacity degradation.A critical criterion based on the W was established to distinguish between the two failure modes and predict the unstable failure initiation.Numerical simulations were used to elucidate the effects of inertia-dominated crack propagation and stress wave interference,validating the critical criterion and the predictive accuracy of the theoretical model during cross-scale failure.This study provides a theoretical foundation for assessing the dynamic stability of rock masses subjected to multi-field coupling during deep resource exploitation.
基金Supported by the National Natural Science Foundation of China(Grant Nos.12393780,12032017,12302067)College Education Scientific Research Project of Hebei Province(Grant No.JZX2024006)Hebei Provincial S&T Program(Grant No.21567622 H).
摘要The axle box bearings of high-speed trains often operate in extremely harsh environments,bearing loads from different directions.Long-term operation and frequent changes in working conditions can easily lead to axle box bearing failures.Therefore,it is extremely important to study the mechanism of axle box bearings.Firstly,the medium of thermal deformation establishes a coupling relationship between the system dynamics model and the thermal grid model,and then obtains the thermal force coupling model of the high-speed train axle box bearing.The coupling model is validated from the perspectives of system dynamics response and temperature response,proving its effectiveness in system dynamics response and temperature characteristic response.Comparing the coupling model with the dynamics model,it is found that thermal deformation complicates the dynamic re-sponse.Finally,using the Lundberg-Palmgren(L-P)bearing fatigue calculation method and damage accumu-lation theory,the bearing fatigue life is calculated,and it is found that thermal deformation deteriorates the bearing operating environment,reducing the bearing fatigue life.Finally,by comparing the bearing fatigue life under different working conditions,it is concluded that the faster the vehicle speed,the greater the load,and the smaller the initial radial clearance of the bearing,the fatigue life of the bearing is reduced.The shorter the lifespan.
基金Development and Research of Specialization Metrology Equipment Based on Intelligent Virtual Simulation(Project No.2025X004-KXD)。
摘要As the smart transportation system continues to evolve,the precise and stable operation of traffic measurement equipment directly determines the overall effectiveness of traffic data monitoring and system management.Traditional field tests are limited by specific operational scenarios,narrow coverage of driving conditions,high equipment wear and maintenance costs,and fail to meet the rigorous performance verification requirements under complex environments.This study integrates theories from mechanics,thermodynamics,and electromagnetism to establish a virtual simulation framework for traffic measurement equipment,enabling accurate replication of real-world operating conditions,conducting performance simulations,and facilitating continuous model refinement.This approach overcomes the limitations inherent in single-physical-field simulations.The outcomes provide robust digital support for equipment performance testing,structural optimization,and condition-specific calibration,thereby advancing the development and modernization of measurement systems in smart transportation applications.
基金Project(IMRI23005)supported by Ordos Science and Technology Bureau,ChinaProjects(52174096,52304110)supported by the National Natural Science Foundation of China。
摘要To investigate the effects of water and cyclic loading on dolomite’s mechanical properties during deep mining,mechanical experiments on non-pressure water absorption and cyclic loading were conducted.The findings reveal that the elastic modulus and Poisson ratio of dolomite fluctuate with increasing water content.The mass of water absorption is positively correlated with time and the water absorption stage can be divided into three stages:accelerated,decelerated,and stabilized stages.During this process,the number of pores in dolomite increases,while the pore diameter initially decreases and then fluctuates.Microscopic analysis shows that the proportion of mesopores first increases and then decreases,while micropores exhibit the opposite trend,and the proportion of macropores fluctuates around 0%.A model diagram of structural evolution during water absorption has been developed.Additionally,the softening process of dolomite’s water absorption strength is categorized into three stages:a relatively stable stage,an accelerated softening stage dominated by mesopore water absorption,and a decelerated softening stage characterized by micropore water absorption.A uniaxial damage constitutive model for dolomite under water influence was established based on the Weibull distribution and Mohr-Coulomb strength criterion,and experimental validation indicates its strong applicability.
基金supported by the National Natural Science Foundation of China(Nos.12405194 and 52276052)the National Key R&D Program of China(Nos.2024YFE03230200 and 2022YFE03160002)the Natural Science Foundation of Chongqing,China(No.CSTB2025NSCQ-GPX0761)。
摘要To accelerate the development and utilization of fusion energy,the China Fusion Engineering Test Reactor(CFETR)has been proposed as a bridge between the International Thermonuclear Experimental Reactor and demonstration fusion reactors.The primary objective of the CFETR is to achieve fusion energy transformation and tritium self-sufficiency,which is realized through the function of the blanket.In this study,a neutronicshermal-hydraulics/mechanics coupling method is developed and applied to a helium-cooled ceramic breeder(HCCB)blanket,which is one of the two blanket candidates for the CFETR.A three-dimensional full-scale model is utilized in the coupling analysis to obtain the distributions of the neutronic,thermal-hydraulic,and mechanical parameters.A structural assessment of the CFETR HCCB blanket is then conducted considering steady-state conditions and two transient scenarios.The results demonstrate that following optimization of the blanket structure,the maximum temperatures of the different components remain below the safety limit of the corresponding materials.The structural assessment indicates that the blanket maintains its structural integrity under steady-state conditions.However,immediately after an in-box loss-of-coolant accident,structural failure owing to stress concentration may occur.Additionally,in the early stage of a loss-of-flow accident,the stress at the joint point between the cooling plate and cap exceeds the allowable stress of the material,potentially leading to structural failure within 17 s if no protective response is implemented.These findings provide comprehensive insights into the performance and safety of the CFETR HCCB blanket design.
基金supported by the National Natural Science Foundation of China(42090054)the Natural Science Foundation of Hubei Province of China(2022CFA002 and 2024AFD358).
摘要The thermal-hydraulic coupling processes in moraine soils containing frozen inclusions are prevalent in cold alpine regions(for example,the Tibetan Plateau)and closely linked to various mountainous geological hazards.Despite extensive research,characterizing this coupling process remains challenging.This study investigates the evolution of the thermal-hydraulic properties of moraine soils containing frozen inclusions under warm water flow,considering key parameters and phase change.Parameter values were calibrated using field and laboratory data.The simulation results show the monotonic trend of outlet temperature,ice content and permeability.Thermal conductivity,soil porosity,fluid temperature,frozen inclusion content,and initial matrix permeability play predominant roles in the evolution process.Based on these findings,comprehensive models to quantitatively characterize the seepage evolution process were developed and discriminant models for two equilibrium states were established,incorporating critical factors.Furthermore,an in-depth discussion on the simulation of the phase-change process and the selection of the relative permeability range was provided.The findings enhance our understanding of thermal-hydraulic coupling processes in moraine soils and offer a valuable reference framework for future studies in this field.
基金supported by the Yunnan Province Science and Technology Plan Project(No.202403AA080001-4)the Key Research and Development Project of Guangxi,China(No.guikeAB24010144)the National Key Research and Development Project of China(Nos.2021YFB3901402 and 2018YFC1504802)。
摘要To reveal the influence of coupled effects of dry-wet cycling and precompression stress(CEDWCPS)on the damage evolution of limestone with horizontal fissure(LHF),a series of degradation and uniaxial compression tests were conducted,and a corresponding piecewise damage constitutive model(PDCM)was established.We found that both dry-wet cycling and precompression stress deteriorate the physical properties,alter the microscopic characteristics,and reduce the mechanical properties of the LHF.These degradations are particularly pronounced under the CEDWCPS,although the magnitude of these changes gradually diminishes with the progression of dry-wet cycling.Meanwhile,they also reduce the deformation degree,prolong the micropore compaction stage,shorten the unstable crack propagation stage,lower the frequency and intensity of AE events,decrease the high-amplitude and high-frequency AE signals,enlarge crack scales,and shorten the crack initiation time.Among the changes of these indicators,the dry-wet cycling plays a dominant role.The crack types of LHF under the CEDWCPS(LHFCEDWCPS)are predominantly tensile cracks,supplemented by shear cracks.The failure mode can be defined as tensileshear composite failure.Finally,the established PDCM effectively captures the nonlinear deformation of micropore and the linear deformation of the matrix in LHFCEDWCPS,with all corresponding R2 consistently exceeding 0.97.
基金funding by the project(51974329)sponsored by the National Natural Science Foundation of China and the project(2024ZD1406601)sponsored by the National Major Science and Technology Projects of China。
摘要The multi-branch horizontal wells can improve the reservoir dynamic flow profile,restrain water coning,enhance production and recovery efficiency due to large drainage area and low cost,and it is significant importance for academic research and industrial applications.However,the effects of branches interference and wellbore variable mass flow on transient dynamics of water breakthrough,production characteristics and recovery efficiency have long been ignored.To dynamically simulate and evaluate the fluid flow behavior of multilateral horizontal wells,first,the branches interference and coupled relationship between reservoir fluid seepage and wellbore variable mass flow has been investigated in this paper,a coupled model for predicting multilateral horizontal wells dynamic production and water breakthrough time is proposed with arbitrary three-dimensional spatial distribution.Subsequently,the model is validated by comparing the production and breakthrough time between actual production data and simulated software.Last,the performance characteristics including inflow dynamics,production,wellbore pressure drop and water breakthrough dynamic distribution are analyzed.The results indicate that the unstable flow time is shorten and it is about 0.6 h,and the wellbore inflow profile represents a characteristic of"low in the middle and high at both ends"on account of branches interference.The pressure drop of wellbore is mainly affected by friction,and other pressure drop types are acceleration pressure drop,convergence pressure drop and mixed pressure drop in order of influence,respectively.The breakthrough time is prior at junction of main wellbore and branch wellbores,then the bottom water spreads to the middle position of main wellbore and trailing position of each branch wellbore.The branch length has a critical impact on breakthrough time,and the branch numbers also affect it as well as the branch angle.The proposed theoretical model can be used to calculate and predict the production,breakthrough time and recovery efficiency of multilateral horizontal wells,and it supplies strong technical support for further development and enhance oil recovery of bottom water reservoir and actual oil field production.
基金National Natural Science Foundation of China,Grant/Award Numbers:52274082,42307244,42230704Jiangxi Provincial Natural Science Foundation,Grant/Award Number:2024BAB26047+3 种基金Innovative Experts,Long-term Program of Jiangxi Province,Grant/Award Number:jxsq2018106049Opening Foundation of Anhui Province Key Laboratory of Building Structure and Underground Engineering,Grant/Award Number:KLBSUE‐2022‐04Program of Qingjiang Excellent Young Talents of Jiangxi University of Science and Technology,Grant/Award Number:JXUSTQJBJ2020003Fundamental Research Funds for the Central Universities,Grant/Award Number:2023QN1024。
摘要Prediction of permeability changes in surrounding rock induced by engineering disturbances is crucial for mitigating tunnel water inrush accidents.This study investigates the progressive failure characteristics and permeability evolution of hard and soft rocks subjected to triaxial compression.A series of laboratory tests were conducted at confining pressures ranging from 4 to 20 MPa.Experimental results demonstrate that rock permeability variation with strain shows three distinct stages:an initial decrease,a stage of rapid mutation,and a postpeak increase.The concept of critical permeability barrier strength is introduced,representing the stress level at which continuous fracture formation enables significant seepage.Furthermore,two generalized permeability–stress models are developed for soft and hard rocks.The predicted permeability values obtained from these models align well with the experimental data.These findings offer valuable insights into the hydro-mechanical coupling behavior of rocks,providing a foundation for safe construction practices in underground engineering.
摘要Plant functional traits are key for understanding the adaptive strategies to environments,and fine roots play a crucial role in nutrient acquisition.Examining the variation of functional traits of fine root and soil physicochemical properties,and investigating their coupling relationships and dominating factors,could provide a theoretical foundation for ecological restoration in the burned forest.We established 12 plots within Pinus tabuliformis Carrière forests subjected to light,moderate and severe fire severities.Through detailed analysis of fine roots and soil physicochemical properties,we evaluated the variations and coupling effects in fine root functional traits and soil properties using the Coupling Coordination Degree Model and Partial Least Squares Path Modeling.Our results showed significant differences in the functional traits of fine root and soil physicochemical properties across fire severities(P<0.05).The coupling coordination degrees between fine root functional features and soil physicochemical properties ranged from 0.4 to 0.6,with the following order:unburned,moderate,severe and light severity.Forest fire negatively impacted the coupling coordination degree indirectly,primarily influenced by the direct positive effects of fine root morphological traits(e.g.,specific root length)and soil nutrient properties(e.g.,nitrogen and available phosphorus).The synergistic recovery of fine root-soil systems in Pinus tabuliformis forests was most pronounced following moderate fire severity,showing a medium-level coordination degree.For light-severity fires,enhancing fine root morphological characteristics through soil warming is recommended.In contrast,it is suggested to apply appropriate nitrogen and soil fertilizers for improving soil conditions after severe fire.
基金supported by the National Natural Science Foundation of China(Grant No.52574047&Grant No.52374045)the Key Project of Sichuan Science and Education Joint Fund(Grant No.2025NSFSC2008).
摘要Effective proppant placement in multi-cluster hydraulic fractures is crucial for shale gas fracturing;however,existing numerical methods face challenges in accurately coupling dynamic fracture propagation with suspended-load transport,bed erosion,and accumulation at the field scale.To address this,a coupled solution integrating the DDM with an improved TLM was developed.This solution incorporates a logarithmic near-bed velocity profile to refine bed shear stress calculations,thereby capturing dynamic flow allocation,fracture-tip extension,and proppant bed evolution within a unified framework.The key findings are:(1)Increasing spacing from 6 m to 25 m minimizes stress interference,reducing flow allocation disparities among clusters by 96%,thereby promoting more uniform fracture propagation and bed-load transport;(2)Higher rates elevate net pressure and reduce pressure drop differences across perforations but increase shear within fractures,exacerbating proppant placement disparities;(3)As viscosity increases from 3 mPa·s to 5 mPa·s,bed-load transport differences intensify,causing a sevenfold rise in placement discrepancies;at 10 mPa·s most proppants remain suspended,transitioning to a suspended-load transport regime and nearly eliminating inter-cluster distribution differences;(4)Larger proppants tend to accumulate near fracture inlets,which can help ensure more uniform inter-cluster distribution.In contrast,smaller proppants are more susceptible to flow variations,often resulting in uneven placement across clusters.(5)Additionally,under high proppant concentrations,proppant dunes reach equilibrium sooner,and creeping motion dominates particle transport,significantly reducing inter-cluster placement non-uniformity.The proposed coupled DDM–TLM model can reasonably predict proppant behavior in multi-cluster fractures and underpins the optimization of shale gas fracturing treatments.
基金Under the auspices of the National Natural Science Foundation of China(No.42371315,41901213)the Project of Changjiang Survey,Planning,Design and Research Co.,Ltd(No.CX2022Z23)。
摘要Ecosystem services(ESs)are crucial for human survival and development,and changes in ESs are closely linked to both the natural environment and human activity.As counties have become the fundamental unit of China’s new urbanization,investigating the dynamic processes of ESs,the driving mechanisms,and their coupling with urbanization at the county scale holds significant theoretical and practical value.However,further research is still needed to analyze the persistent impact of county-scale urbanization on the ecological environment and the coupling relationship between them.This study measured the spatio-temporal characteristics of ESs and urbanization level(UL)in the Yellow River Basin(YRB)from 2000–2020 at county scale,utilizing multi-period land use,meteorological,and statistical data.Subsequently,the research investigated the effects of anthropogenic and natural factors on comprehensive ecosystem services(CES),as well as the coupling relationship between the UL and CESs.The results revealed fluctuating ES levels across different periods,characterized by a general upward trend.Geographically,lower levels were observed in the eastern plain and western desert areas,while higher levels were observed in the central transition area.From 2000–2020,the impervious surface area,population,and gross domestic product(GDP)of the YRB increased consistently.The UL decreased gradually from the southeast to the northwest,with high levels concentrated in city centers.Among anthropogenic factors,population agglomeration and land development significantly influenced CES,with their impact intensifying over time.Slope and elevation were identified as the primary natural factors affecting CES.During the study period,the overall coupling coordination degree of the UL and CES in each county increased,albeit with notable spatial disparities.Regarding synchronization types,the number of downstream counties experiencing ecological losses increased.This study provides insights for managing the relationship between urbanization and ecosystems and offers a framework to migrate the conflict between regional socioeconomic development and the natural environment in the YRB.
基金supported by the National Key Research and Development Project(Grant No.2022YFC3201700)the National Natural Science Foundation of China(Grant No.U2443205)+1 种基金the Anhui Provincial Key Research and Development Project(Grant No.2408055US002)the Five Major Excellent Talent Programs of the China Institute of Water Resources and Hydropower Research(IWHR)(Grant No.WR0199A012021).
摘要Accurate and efficient hydrological simulation is critically important to sustainable water resources management amidst escalating climate change.As an indispensable scientific tool,hydrological modeling employs mathematical frameworks and computational techniques to quantitatively characterize hydrological processes,thereby playing a vital role in water resources assessment,the prediction and management of extreme hydrological events,and climate change impact evaluation.This review article systematically synthesizes recent advances in traditional hydrological models while critically examining their inherent methodological limitations.It further delineates the evolutionary trajectory of machine learning(ML)techniques in hydrological simulation and highlights the comparative advantages of data-driven ML approaches over conventional paradigms.Through a rigorous analysis of contemporary research,this review article establishes that coupling physically-based hydrological models with data-driven ML architectures represents the most promising pathway for overcoming fundamental bottlenecks in hydrological simulation.Furthermore,this review article concludes by identifying persistent challenges within existing coupling frameworks and projecting key future research directions in this rapidly evolving field.
基金supported by the Natural Science Foundation of China(Grant Nos.42088101 and 42375163)the Guangdong Major Project of Basic and Applied Basic Research(Grant No.2021B0301030007)the specific research fund of The Innovation Platform for Academicians of Hainan Province(Grant No.YSPTZX202143)。
摘要In Earth system modeling,the land surface is coupled with the atmosphere through surface turbulent fluxes.These fluxes are computed using mean meteorological variables between the surface and a reference height in the atmosphere.However,the dependence of flux computation on the reference height,which is usually set as the lowest level in the atmosphere in Earth system models,has not received much attention.Based on high-resolution large-eddy simulation(LES)data under unstable conditions,we find the setting of reference height is not trivial within the framework of current surface layer theory.With a reasonable prescription of aerodynamic roughness length(following the setting in LESs),reference heights near the top of the surface layer tend to provide the best estimate of surface fluxes,especially for the momentum flux.Furthermore,this conclusion for the sensible heat flux is insensitive to the ratio of roughness length for momentum versus heat.These results are robust,whether using the classical or revised surface layer theory.They provide a potential guide for setting the proper reference heights for Earth system modeling and can be further tested in the near future using observational data from land–atmosphere feedback observatories.
基金supported by the Joint Research program for Eco-logical Conservation and High-quality Development of the Yellow River Basin(Grant No.2022-YRUC-01-0103)Watershed Non-point Source Pollution Prevention and Control Technology and Application Demon-stration Project(Grant No.2021YFC3201505)+3 种基金the National Key Re-search and Development Project(Grant No.2016YFC0502106)the Natural Science Foundation of China(Grant No.41476161)the Spe-cial Project of National Natural Science Foundation of China(Grant No.42442035)the Fundamental Research Funds for the Central Uni-versities.
摘要Coastal cities hold a special position in the fields of production,living,and ecological research because of their unique wetland resource advantages.However,with global urbanization and rapid economic development,con-flicts among production,living and ecological land are prevalent in coastal cities in the process of maintaining sustainable wetland resources and further developing the social economy.By establishing an SD-PLUS-CCD cou-pling model,this paper analysed the evolution characteristics and driving mechanism of the production-living-ecological space(PLES)and the effects of wetland protection(WLP)on promoting or inhibiting the coordinated development of the PLES in Dongying city during 2005-2060.The results show that(1)from 2005 to 2020,the increase in urban population resulted in a significant transfer of arable land and a reduction of 914 km2 in pro-duction space(PS);(2)from 2020 to 2060,under the WLP scenario,the conversion of wetland ecological space will reduce the PS and living space(LS)by 193.92 km2 and 107.14 km2,respectively,and increase the ecological space(ES)by 327.52 km2;and(3)wetland protection has an inhibitory effect on the coordinated development of PLES in the study area,and the total proportion of noncoordinated areas of PE and living-ecological space will continue to increase during the simulation period.This paper provides a solid theoretical support for the sustain-able management and protection of wetlands in coastal cities and possible PLES conflict patterns and provides a scientific basis for future territorial spatial planning and policy balance analysis.
基金Supported by the Laoshan Laboratory(No.LSKJ202202402)the National Natural Science Foundation of China(No.42030410)+1 种基金the Startup Foundation for Introducing Talent of NUISTthe Jiangsu Innovation Research Group(No.JSSCTD 202346)。
摘要Various physics-based dynamical and data-based statistical models have been developed for uses in predicting sea surface temperature(SST)evolution in relation to the El Niño-Southern Oscillation(ENSO)over the tropical Pacific.At present,clear limitations remain in their ENSO predictions,with predicted SST anomalies(SSTAs)being widely spread across diverse models and considerable inter-model uncertainty.Fortunately,deep learning(DL)-based modeling has recently made promising advances in ENSO prediction tasks;numerous neural networks(NNs)have been constructed for ENSO predictions.However,most NNs themselves are purely data-driven and lack constraints of the necessary physical processes in the coupled system;there are few studies in which DL models are directly integrated with physics-based dynamical models.Previously,such a new type of intermediate coupled models(ICMs)was developed by directly integrating U-Net-derived sea surface wind stress models with an intermediate ocean dynamical model(denoted as ICM-UNet),with demonstrated success in simulating ENSO evolutions in freely coupled runs.It is thus natural to take a step further for prediction applications.In this study,this new ICM-UNet is applied for retrospective ENSO predictions,the first time that such a fusion of DL atmospheric model and dynamical oceanic model with different architectures can be achieved to make ENSO predictions.The overall evaluations indicate that the ICM-UNet yields valid retrospective predictions during the period 1995–2023,confirming that the ICM-UNet is a credible ocean-atmosphere coupled model for ENSO predictions.In case studies during 2020–2023,the ICM-UNet predictions reveal that SSTAs over the equatorial Pacific evolved into a second-year cooling in late 2021 and a warming tendency in 2023,forming a three-year La Niña and an El Niño event thereafter,which is consistent with the reality.The ICM-UNet successful fusion,taking advantage of both the physical constraints due to dynamical oceanic models and nonlinear representations of wind responses due to DL capacity,further underscores the high adaptability of integrating data-driven NNs into the ocean-atmosphere coupled modeling for ENSO-related studies.