This study investigates the transient deformation signals associated with the Ludian M6.8 earthquake,which occurred on June 22,2014,in southwestern China,using Global Navigation Satellite System(GNSS)data.Within the f...This study investigates the transient deformation signals associated with the Ludian M6.8 earthquake,which occurred on June 22,2014,in southwestern China,using Global Navigation Satellite System(GNSS)data.Within the framework of the Kalman filter,the study employs a First-Order Gauss-Markov(FOGM)model to construct and isolate transient deformation signals,extracting the FOGM time series.Principal Component Analysis(PCA)is then applied to decompose the extracted time series and analyze the spatiotemporal evolution of the top two Principal Components(PCs)of the East-West(EW)and North-South(NS)components,revealing their correlation with the Ludian earthquake.Furthermore,a quantitative analysis of the spatial response characteristics of the second Principal Component(PC2)of the EW component and the first Principal Component(PC1)of the NS component is conducted to characterize the spatial evolution pattern of transient deformation.Finally,the spatial distribution of transient deformation signals is compared with the known co-seismic rupture characteristics,providing further evidence that the extracted signals represent real post-seismic deformation rather than noise.The key findings of this study are as follows:1.The PC2 of the EW component and the PC1 of the NS component primarily represent post-seismic transient deformation signals associated with the Ludian earthquake.The post-seismic deformation evolution exhibits two distinct phases:a sustained deformation phase from the earthquake occurrence to early 2016 and a recovery phase starting from early2016,reflecting the time-dependent characteristics of the post-seismic relaxation process.2.In addition to the well-known linear trend and periodic components,the GNSS displacement time series may also contain non-linear periodic components,suggesting that GNSS data are influenced by a combination of crustal dynamics,surface environmental changes,and anthropogenic factors.3.The integration of Kalman filtering and PCA-based dimensionality reduction analysis effectively isolates transient deformation signals and nonlinear periodic signals from complex background noise,enhancing the interpretability of GNSS data.This approach provides a highly efficient data processing method for analyzing earthquake-induced deformation.展开更多
The existence of a detectable precursory phase of fault slip preceding major earthquakes has been a subject of ongoing debate for decades.A recent study(Bletery and Nocquet,2023)demonstrated exponential acceleration o...The existence of a detectable precursory phase of fault slip preceding major earthquakes has been a subject of ongoing debate for decades.A recent study(Bletery and Nocquet,2023)demonstrated exponential acceleration of fault slip prior to large earthquakes.Conversely,(Hirose et al.,2024)reported no such phenomenon when analyzing tiltmeter data.Furthermore,their analysis focused predominantly on subduction zone earthquakes,with limited consideration of intraplate earthquake scenarios.In this study,we examined 15 M≥6.5 intraplate earthquakes in China from 2010 to 2024 and found no clear evidence of deformation acceleration prior to these events.We also investigated several key factors contributing to uncertainties in this approach.Our findings suggest that the exponential acceleration phenomenon is associated with specific earthquake characteristics and is influenced by the spatial distribution of proximal seismic signals.展开更多
The fine-scale characterization of vegetation surface information serves as a fundamental basis for studying the spatial distribution of resources and the dynamic patterns of environmental responses.Accurately extract...The fine-scale characterization of vegetation surface information serves as a fundamental basis for studying the spatial distribution of resources and the dynamic patterns of environmental responses.Accurately extracting the distributions of different crop species is of critical importance for improving agricultural production efficiency and ensuring food security.Traditional fine-scale vegetation extraction methods often face significant challenges due to the presence of spectrally similar features and the substantial influence of background interference,which limit their applicability across large areas.As a key phenological stage of angiosperms,flowering is characterized by distinctive flowering times,floral morphology,and canopy spectral signatures,so it is an effective pathway for fine-scale vegetation extraction using remote sensing.Using rapeseed as an example,this study developed a spectral index model for precise flowering vegetation extraction(FI-R)based on Landsat OLI imagery.The model integrates a yellowness index(Blue,Green)and a peak index(Red,Nir and SWIR1)while leveraging the NDVI to mitigate background interference from spectrally similar objects.This approach successfully enables the rapid and accurate large-scale mapping of flowering vegetation under complex background conditions.The proposed method was tested in five rapeseed cultivation regions worldwide with diverse backgrounds.Validation datasets were generated using GF imagery and the U.S.CDL dataset.The FI-R model demonstrated superior capability in distinguishing flowering rapeseed from other vegetation,and achieved overall accuracies exceeding 94%in all study areas.Furthermore,FI-R is compatible with other multispectral sensors that have similar band configurations,so it is applicable to rapeseed extraction in broader contexts.The method also shows strong potential for the fine-scale extraction of other types of flowering angiosperm vegetation.展开更多
This study developed a modeling methodology for statistical optimization-based geologic hazard susceptibility assessment,aiming to enhance the comprehensive performance and classification accuracy of the assessment mo...This study developed a modeling methodology for statistical optimization-based geologic hazard susceptibility assessment,aiming to enhance the comprehensive performance and classification accuracy of the assessment models.First,the cumulative probability method revealed that a low probability(15%)of geologic hazards between any two geologic hazard points occurred outside a buffer zone with a radius of 2297 m(i.e.,the distance threshold).The training dataset was established,consisting of negative samples(non-hazard points)randomly generated based on the distance threshold,positive samples(i.e.,historical hazards),and 13 conditioning factors.Then,models were built using five machine learning algorithms,namely random forest(RF),gradient boosting decision tree(GBDT),naive Bayes(NB),logistic regression(LR),and support vector machine(SVM).The comprehensive performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and overall accuracy(OA)as indicators,revealing that RF exhibited the best performance,with OA and AUC values of 2.7127 and 0.981,respectively.Furthermore,the machine learning models constructed by considering the distance threshold outperformed those built using the unoptimized dataset.The characteristic factors were ranked using the mutual information method,with their scores decreasing in the order of rainfall(0.1616),altitude(0.06),normalized difference vegetation index(NDVI;0.04),and distance from roads(0.03).Finally,the geologic hazard susceptibility classification was assessed using the natural breaks method combined with a clustering algorithm.The results indicate that the clustering algorithm exhibited higher classification accuracy than the natural breaks method.The findings of this study demonstrate that the proposed model optimization scheme can provide a scientific basis for the prevention and control of geologic hazards.展开更多
Several ecological restoration projects have been carried out to prevent and restore alpine sandy land,mainly by reestablishing vegetation through planting woody plants and grasses.However,our understanding of how shr...Several ecological restoration projects have been carried out to prevent and restore alpine sandy land,mainly by reestablishing vegetation through planting woody plants and grasses.However,our understanding of how shrub and grass restoration measures affect soil multifunctionality(SMF)in alpine and semi-humid areas remains limited.This study examined the effects of three typical restoration methods—artificial grass plus shrub planting(AGS),artificial grass planting(AG),and artificial shrub planting(AS)-on plant-soil functions and soil multifunctionality,as well as the factors influencing SMF compared to natural grassland(NG).The results showed that vegetation restoration improved aboveground plant characteristics and soil nutrients.Species richness(R),herbaceous plant coverage(Cover),and aboveground biomass(AGB)were higher in AGS than in AS.Soil organic carbon,nitrogen,and phosphorus levels decreased across AGS,AG,and AS,respectively.Additionally,vegetation restoration on sandy land significantly increased soil multifunctionality,with the SMF of AGS reaching 83.92%of that in NG.The structural equation model indicated that plant communities with higher species richness could enhance soil multifunctionality by increasing plant productivity.Compared to NG,soil bulk density negatively affected SMF directly,while soil water content(SWC)directly influenced R and AGB,and indirectly improved SMF through artificial shrub and grass vegetation restoration.Therefore,AGS enhanced SMF more than both AG and AS,and may be a more effective strategy for restoring soil functions in alpine and semi-humid sandy lands.Our findings suggest that combining grasses and shrubs in vegetation restoration offers a more sustainable approach,helping to combat desertification and improve management strategies in the alpine sub-humid region.展开更多
With the efficient and intelligent development of computer-based big data processing,applying machine learning methods to the processing and interpretation of logging data in the field of geophysical well logging has ...With the efficient and intelligent development of computer-based big data processing,applying machine learning methods to the processing and interpretation of logging data in the field of geophysical well logging has broad potential for improving production efficiency.Currently,the Jiyuan Oilfield in the Ordos Basin relies mainly on manual reprocessing and interpretation of old well logging data to identify different fluid types in low-contrast reservoirs,guiding subsequent production work.This study uses well logging data from the Chang 1 reservoir,partitioning the dataset based on individual wells for model training and testing.A deep learning model for intelligent reservoir fluid identification was constructed by incorporating the focal loss function.Comparative validations with five other models,including logistic regression(LR),naive Bayes(NB),gradient boosting decision trees(GBDT),random forest(RF),and support vector machine(SVM),show that this model demonstrates superior identification performance and significantly improves the accuracy of identifying oil-bearing fluids.Mutual information analysis reveals the model's differential dependency on various logging parameters for reservoir fluid identification.This model provides important references and a basis for conducting regional studies and revisiting old wells,demonstrating practical value that can be widely applied.展开更多
Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interact...Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.展开更多
The correction for antenna phase center is considered in processing Global Positioning System （GPS） data collected from a network of GPS ultra-short baselines. Compared with the leveling measurements, the GPS result...The correction for antenna phase center is considered in processing Global Positioning System （GPS） data collected from a network of GPS ultra-short baselines. Compared with the leveling measurements, the GPS results show that the relative vertical offsets for the pairs of GPS receiver antenna phase centers still exist, although absolute calibration of the antenna phase center variations （PCVs） has been considered. With respect to the TPS CR.G3 antenna, the relative vertical offset for the LEI AT504 antenna is 8.4 mm, the offset for the ASH701945C_M antenna is 5.5 mm, and those for the ASHY00936E_C and ASH701945B_M antennas are approximately between 2 mm and -3 mm. The relative offsets for the same type of antennas are approximately 1 mm. By correcting the absolute PCVs, the existing relative offset becomes negligible for horizontal positioning.展开更多
On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with...On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with large deformations,we elaborate a new algorithm relying on the software COMSOL Multiphysics 5.3a to solve the coupling of the mobile grid equation and the governing differential equations for fluid flow.The motion of water in a water tank when the tank waggles is simulated.We demonstrate that this technology can be implemented without a significant increase in the computational cost with respect to standard numerical methods.展开更多
Rotational seismology is an emerging field for studying all aspects of rotational ground motions induced by earthquakes,explosions,and ambient vibrations. It is of interest to a wide range of geophysical disciplines,i...Rotational seismology is an emerging field for studying all aspects of rotational ground motions induced by earthquakes,explosions,and ambient vibrations. It is of interest to a wide range of geophysical disciplines,including strong-motion seismology,earthquake engineering,earthquake physics,seismic instrumentation,as well as to the complete description of particle motions( translational motion,rotational motion and deformation).This article mainly summarizes the application of rotational motions to seismology. Based on the collocated measurements of translational motion and rotational motion, the theoretical formulas of calculating the teleseismic Rayleigh wave and the Love wave phase velocity are derived. Taking the Siberian earthquake as an example,the phase velocity structure near the station is calculated. As a ring laser that's sensitive only to SH-type motion,one of the expectations of the ring laser measurements is to help seismologists separate P and S waves in the wave field. It also helps distinguish Love and Rayleigh wave energy in the ocean-generated noise field,as well as determine the back azimuth of oceanic noise sources. The long-period toroidal modes of free oscillation, one of the most challenging observations in seismology,are then observed with a ring laser. Finally,the importance and practicability of multi-parameter inversions including rotational observations are expounded. At the end of this paper,we present the existing problems in rotational seismology research and its broad application prospects.展开更多
Environment and disaster monitoring and forecasting small satellite constellation A and B satellites(HJ-1-A,B) are called "environment and disaster reduction satellites A and B" for short.The constellation a...Environment and disaster monitoring and forecasting small satellite constellation A and B satellites(HJ-1-A,B) are called "environment and disaster reduction satellites A and B" for short.The constellation adopts a 10:30LT sun-synchronous circular orbit,with orbit altitude of 649km.HJ1-A and HJ-1-B are distributed with a phase difference of 180° in the same orbital plane,so as to enhance the time resolution of earth observation.The satellites have orbit maintenance capability,the lifetime is 3 years.Both satellites adopt CAST968 platforms.Two wide-coverage multispectral CCD cameras with resolution 30m and width 700km,a super-spectral imager with resolution 100m and width 50km as well as a data transmission subsystem of 120Mbit/s are deployed on HJ-1-A,which also carries Ka communication testing equipment of Thailand.HJ-1-B has two wide-coverage multispectral CCD cameras(the same as satellite A),one infrared camera with resolution 150m and width 720km and a data transmission subsystem of 60Mbit/s.The coverage period of the wide-coverage multispectral CCD camera is 48 hours.The revisit period of super-spectral imager is 96 hours and the coverage period ofinfrared camera is 96 hours.展开更多
Single-atom catalysts were widely used to treat atmospheric pollution and alleviate energy crises through photocatalysis.However,how to prevent the aggregation of single atoms during the preparation and catalytic proc...Single-atom catalysts were widely used to treat atmospheric pollution and alleviate energy crises through photocatalysis.However,how to prevent the aggregation of single atoms during the preparation and catalytic processes remained a great challenge.Herein,a novel ultrathin two-dimensional porphyrin-based single-atom photocatalyst Ti-MOF(abbreviated as TMPd)obtained through a simple hydrothermal synthesis strategy was used for photocatalytic hydrogen evolution and NO removal,in which the singleatom Pd tightly anchored in the center of porphyrin to ensure single-atom Pd stable existence.Compared with most reported MOFs-based photocatalysts,the TMPd showed an excellent hydrogen evolution rate(1.32 mmol g^(-1)h^(-1))and the NO removal efficiency(62%)under visible light irradiation.Aberrationcorrected high-angle annular dark-field scanning transmission electron microscope(HAADF-STEM)and synchrotron-radiation-based X-ray absorption fine-structure spectroscopy(XAFS)proved that pd in TMPd existed in an isolated state,and the atomic force microscope(AFM)proved the ultrathin morphology of TMPd.DFT calculations had demonstrated that single-atom Pd could serve as the active center and more effectively achieve electron transfer,indicating that single-atom Pd played a vital role in photocatalytic hydrogen evolution.In addition,a possible photocatalytic pathway of NO removal was proposed based on ESR and in-situ infrared spectra,in which the catalysts anchored with single-atom Pd could produce more active substances and more effectively oxidize NO to NO_(2)^(-)or NO_(3)^(-).The results suggested that coordinating single-atom metal species as the active site in the center of porphyrin could be a feasible strategy to obtain various ultrathin porphyrin-based single-atom photocatalysts to acquire excellent photocatalytic performance further.展开更多
An increasing number of low,medium,and high resolution SAR satellites creates a demand for a generalized sensor model to replace the rigorous sensor model(RSM).The rational polynomial coefficient(RPC)model is a generi...An increasing number of low,medium,and high resolution SAR satellites creates a demand for a generalized sensor model to replace the rigorous sensor model(RSM).The rational polynomial coefficient(RPC)model is a generic sensor model which accurately fits the object-image geometry for various sensor systems with different coefficient values.It has been widely used as an alternative to RSM for photogrammetric processing of optical images,but its applications to SAR images are rarely discussed in publications.In this paper,the feasibility and practicability of the RPC model for SAR images are studied.The RPC model can not only be used to replace the RSM(range–Doppler model for SAR),but also applied to the processing chain for SAR data,thus facilitating the processing of SAR and InSAR data for end users.展开更多
Herein, some fundamental open questions on engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials are considered, namely: 1) on thermodynamic stability and related characteristics of some h...Herein, some fundamental open questions on engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials are considered, namely: 1) on thermodynamic stability and related characteristics of some hydrogenated graphene layers nanostructures: relevance to the hydrogen storage problem;2) determination of thermodynamic characteristics of graphene hydrides;3) a treatment and interpretation of some recent STM, STS, HREELS/LEED, PES, ARPS and Raman spectroscopy data on hydrogensorbtion with epitaxial graphenes;4) on the physics of intercalation of hydrogen into surface graphene-like nanoblisters in pyrolytic graphite and epitaxial graphenes;5) on the physics of the elastic and plastic deformation of graphene walls in hydrogenated graphite nanofibers;6) on the physics of engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials, in the light of analysis of the Rodriguez-Baker extraordinary data and some others. These fundamental open questions may be solved within several years.展开更多
Great earthquakes often occur along or near active fault belts. Thus,monitoring and research on fault deformation are quite important. Methods such as short-leveling,shortbaseline and integrated monitoring profile acr...Great earthquakes often occur along or near active fault belts. Thus,monitoring and research on fault deformation are quite important. Methods such as short-leveling,shortbaseline and integrated monitoring profile across fault belts have been used to monitor fault activities for many years. GNSS observations are mainly used to obtain the horizontal velocity field in large areas and to study the activities and deformation of major blocks.GNSS technology has been used to monitor and study the deformation of faults from a different aspects. In this paper,some applications and new explorations of GNSS are discussed. They are:( 1) Research and monitoring of strike-slip activities of faults with GNSS.( 2) Research and monitoring of vertical activities of faults with GNSS.( 3)Investigating the laws of deformation of blocks on the sides of fault zone and setting up strain models to deduce the activities and deformation of faults with respective models and compare the deduced results with the actual measurements across fault. It is concluded that a larger discrepancy between the deduced and the observed deformation indicates a stronger interaction between the blocks,which can be important for predicting the location of a strong earthquake and assessing seismic hazard,as well as the seismicity trend.展开更多
In this paper the method of combining the Bursa model to integrate several regional time series to derive a unified global time series is introduced in detail. Then,an example taken from CMONOC( Crustal Movement Obser...In this paper the method of combining the Bursa model to integrate several regional time series to derive a unified global time series is introduced in detail. Then,an example taken from CMONOC( Crustal Movement Observation Network of China) is used to test if the combination method is feasible. The precision of the integrated time series with the combination method is below 2mm( North),3mm( East),that is same as the results from the direct integration of the time series and the precision of the baseline is below 6mm,which proves that the combination method can be used to integrate several regional time series to derive a unified global time series.展开更多
Basic surveying and mapping involves a lot of content, which is a systematic and complex work. In actual surveying and mapping, it is necessary not only to improve the accuracy of surveying and mapping, but also to fu...Basic surveying and mapping involves a lot of content, which is a systematic and complex work. In actual surveying and mapping, it is necessary not only to improve the accuracy of surveying and mapping, but also to further improve the efficiency of surveying and mapping. In recent years, UAV technology has developed rapidly, and UAV remote sensing mapping has also become a new surveying and mapping technology. It can use corresponding equipment to control UAVs and photographic equipment to obtain corresponding information. However, the UAV remote sensing mapping technology is still in the initial stage of development at this stage, and further research on practical problems needs to be enhanced when applied in basic surveying and mapping, so as to effectively promote the development of UAV remote sensing mapping technology.展开更多
The development and applications of low temperature plasma technology used in surface modification of materials are presented in this paper. Based on plasma sources and ion sources technology, multi-functions ion impl...The development and applications of low temperature plasma technology used in surface modification of materials are presented in this paper. Based on plasma sources and ion sources technology, multi-functions ion implantation and deposition technologies were developed and the related processes are also used to treat different products. The related technologies were translated into industrial productions supported by national research projects. Following the last development of international plasma researches, the standardization and internationalization processes of plasma technologies are executed in our center.展开更多
The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection applications.These materials are promising candidates for next-generation photodetectors(...The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection applications.These materials are promising candidates for next-generation photodetectors(PDs)due to their unique optoelectronic properties and flexible synthesis routes.This review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures,including quantum dots,nanosheets,nanorods,nanowires,and nanocrystals.Through a thorough analysis of recent literature,the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread implementation.In addition,it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection systems.This review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability,making it a valuable resource for researchers.展开更多
Quantitative studies on the interseismic and coseismic deformation characteristics and analysis of the interplay between the seismogenic fault and neighboring faults are crucial for understanding the kinematic feature...Quantitative studies on the interseismic and coseismic deformation characteristics and analysis of the interplay between the seismogenic fault and neighboring faults are crucial for understanding the kinematic features and assessing potential seismic hazards. In this study, the interseismic and coseismic deformation of the 2023 Jishishan M_(S)6.2 earthquake(JSSEQ), including the strain rate field, the slip rates,and locking depths of the seismogenic fault during the interseismic period, were obtained. Moreover, the coseismic slip distribution and geometric attributes of the seismogenic fault were further examined.Finally, the potential earthquake hazard in the vicinity was identified by analyzing the Coulomb failure stress changes(ΔCFS). Before the JSSEQ, the maximum shear and dilatational strain rates near the epicenter were significantly lower, and the seismogenic fault was strongly coupled with thrust and dextral strike-slip motion. The maximum displacement of GNSS stations is about 25 mm, about 11 km southwest of the epicenter. The ascending and descending observations reveal a significantly thrustdominated movement, with maximum line of sight displacements of 78 and 83 mm, respectively.Comparing two coseismic slip distribution results and previous studies, it is considered that the east dipping seismogenic fault is more reasonable. The coseismic fault slip took place at a depth of 7.1-13.2 km, with a maximum slip of 0.43 m and a moment magnitude of 6.1. The earthquake resulted in noticeable stress loading on the southeastern end of the Lajishan north margin fault zone and the Lajishan south margin fault zone, as well as the western end of the West Qinling fault zone, which should be given more attention in future.展开更多
基金jointly supported by the National Observation and Research Station,Institute of Geology,China Earthquake Administration(NORSLS23-05)the National Natural Science Foundation of China projects(U2139205)+1 种基金the Natural Science Basic Research Program of Shaanxi(2024JC-YBQN-0313)the Science for Earthquake Resilience(XH24059YA)。
文摘This study investigates the transient deformation signals associated with the Ludian M6.8 earthquake,which occurred on June 22,2014,in southwestern China,using Global Navigation Satellite System(GNSS)data.Within the framework of the Kalman filter,the study employs a First-Order Gauss-Markov(FOGM)model to construct and isolate transient deformation signals,extracting the FOGM time series.Principal Component Analysis(PCA)is then applied to decompose the extracted time series and analyze the spatiotemporal evolution of the top two Principal Components(PCs)of the East-West(EW)and North-South(NS)components,revealing their correlation with the Ludian earthquake.Furthermore,a quantitative analysis of the spatial response characteristics of the second Principal Component(PC2)of the EW component and the first Principal Component(PC1)of the NS component is conducted to characterize the spatial evolution pattern of transient deformation.Finally,the spatial distribution of transient deformation signals is compared with the known co-seismic rupture characteristics,providing further evidence that the extracted signals represent real post-seismic deformation rather than noise.The key findings of this study are as follows:1.The PC2 of the EW component and the PC1 of the NS component primarily represent post-seismic transient deformation signals associated with the Ludian earthquake.The post-seismic deformation evolution exhibits two distinct phases:a sustained deformation phase from the earthquake occurrence to early 2016 and a recovery phase starting from early2016,reflecting the time-dependent characteristics of the post-seismic relaxation process.2.In addition to the well-known linear trend and periodic components,the GNSS displacement time series may also contain non-linear periodic components,suggesting that GNSS data are influenced by a combination of crustal dynamics,surface environmental changes,and anthropogenic factors.3.The integration of Kalman filtering and PCA-based dimensionality reduction analysis effectively isolates transient deformation signals and nonlinear periodic signals from complex background noise,enhancing the interpretability of GNSS data.This approach provides a highly efficient data processing method for analyzing earthquake-induced deformation.
基金funded by the National Natural Science Foundation of China(Nos.42274068,U2039204,and U2139205)the Special Fund of the Institute of Geophysics,China Earthquake Administration(No.DQJB25Z03)the Shanghai Sheshan National Geophysical Observatory(No.SSOP202207).
文摘The existence of a detectable precursory phase of fault slip preceding major earthquakes has been a subject of ongoing debate for decades.A recent study(Bletery and Nocquet,2023)demonstrated exponential acceleration of fault slip prior to large earthquakes.Conversely,(Hirose et al.,2024)reported no such phenomenon when analyzing tiltmeter data.Furthermore,their analysis focused predominantly on subduction zone earthquakes,with limited consideration of intraplate earthquake scenarios.In this study,we examined 15 M≥6.5 intraplate earthquakes in China from 2010 to 2024 and found no clear evidence of deformation acceleration prior to these events.We also investigated several key factors contributing to uncertainties in this approach.Our findings suggest that the exponential acceleration phenomenon is associated with specific earthquake characteristics and is influenced by the spatial distribution of proximal seismic signals.
基金supported by the National Natural Science Foundation of China(42201339)the“Science for a Better Development of Inner Mongolia”Program of the Bureau of Science and Technology of the Inner Mongolia Autonomous Region,China(2022EEDSKJXM003)。
文摘The fine-scale characterization of vegetation surface information serves as a fundamental basis for studying the spatial distribution of resources and the dynamic patterns of environmental responses.Accurately extracting the distributions of different crop species is of critical importance for improving agricultural production efficiency and ensuring food security.Traditional fine-scale vegetation extraction methods often face significant challenges due to the presence of spectrally similar features and the substantial influence of background interference,which limit their applicability across large areas.As a key phenological stage of angiosperms,flowering is characterized by distinctive flowering times,floral morphology,and canopy spectral signatures,so it is an effective pathway for fine-scale vegetation extraction using remote sensing.Using rapeseed as an example,this study developed a spectral index model for precise flowering vegetation extraction(FI-R)based on Landsat OLI imagery.The model integrates a yellowness index(Blue,Green)and a peak index(Red,Nir and SWIR1)while leveraging the NDVI to mitigate background interference from spectrally similar objects.This approach successfully enables the rapid and accurate large-scale mapping of flowering vegetation under complex background conditions.The proposed method was tested in five rapeseed cultivation regions worldwide with diverse backgrounds.Validation datasets were generated using GF imagery and the U.S.CDL dataset.The FI-R model demonstrated superior capability in distinguishing flowering rapeseed from other vegetation,and achieved overall accuracies exceeding 94%in all study areas.Furthermore,FI-R is compatible with other multispectral sensors that have similar band configurations,so it is applicable to rapeseed extraction in broader contexts.The method also shows strong potential for the fine-scale extraction of other types of flowering angiosperm vegetation.
基金supported by a project entitled Loess Plateau Region-Watershed-Slope Geological Hazard Multi-Scale Collaborative Intelligent Early Warning System of the National Key R&D Program of China(2022YFC3003404)a project of the Shaanxi Youth Science and Technology Star(2021KJXX-87)public welfare geological survey projects of Shaanxi Institute of Geologic Survey(20180301,201918,202103,and 202413)。
文摘This study developed a modeling methodology for statistical optimization-based geologic hazard susceptibility assessment,aiming to enhance the comprehensive performance and classification accuracy of the assessment models.First,the cumulative probability method revealed that a low probability(15%)of geologic hazards between any two geologic hazard points occurred outside a buffer zone with a radius of 2297 m(i.e.,the distance threshold).The training dataset was established,consisting of negative samples(non-hazard points)randomly generated based on the distance threshold,positive samples(i.e.,historical hazards),and 13 conditioning factors.Then,models were built using five machine learning algorithms,namely random forest(RF),gradient boosting decision tree(GBDT),naive Bayes(NB),logistic regression(LR),and support vector machine(SVM).The comprehensive performance of the models was assessed using the area under the receiver operating characteristic curve(AUC)and overall accuracy(OA)as indicators,revealing that RF exhibited the best performance,with OA and AUC values of 2.7127 and 0.981,respectively.Furthermore,the machine learning models constructed by considering the distance threshold outperformed those built using the unoptimized dataset.The characteristic factors were ranked using the mutual information method,with their scores decreasing in the order of rainfall(0.1616),altitude(0.06),normalized difference vegetation index(NDVI;0.04),and distance from roads(0.03).Finally,the geologic hazard susceptibility classification was assessed using the natural breaks method combined with a clustering algorithm.The results indicate that the clustering algorithm exhibited higher classification accuracy than the natural breaks method.The findings of this study demonstrate that the proposed model optimization scheme can provide a scientific basis for the prevention and control of geologic hazards.
基金supported by the Second Tibetan Plateau Scientific Expedition and Research Program of China(No.2019QZKK0307)the National Natural Science Foundation of China(No.42007057)+2 种基金the Sichuan Science and Technology Program(No.2024NSFSC0106)Key R&D project of Ministry of Science and Technology of China(No.2022YFD1601601)the Southwest Minzu University Double World-Class Project(No.CX2023012).
文摘Several ecological restoration projects have been carried out to prevent and restore alpine sandy land,mainly by reestablishing vegetation through planting woody plants and grasses.However,our understanding of how shrub and grass restoration measures affect soil multifunctionality(SMF)in alpine and semi-humid areas remains limited.This study examined the effects of three typical restoration methods—artificial grass plus shrub planting(AGS),artificial grass planting(AG),and artificial shrub planting(AS)-on plant-soil functions and soil multifunctionality,as well as the factors influencing SMF compared to natural grassland(NG).The results showed that vegetation restoration improved aboveground plant characteristics and soil nutrients.Species richness(R),herbaceous plant coverage(Cover),and aboveground biomass(AGB)were higher in AGS than in AS.Soil organic carbon,nitrogen,and phosphorus levels decreased across AGS,AG,and AS,respectively.Additionally,vegetation restoration on sandy land significantly increased soil multifunctionality,with the SMF of AGS reaching 83.92%of that in NG.The structural equation model indicated that plant communities with higher species richness could enhance soil multifunctionality by increasing plant productivity.Compared to NG,soil bulk density negatively affected SMF directly,while soil water content(SWC)directly influenced R and AGB,and indirectly improved SMF through artificial shrub and grass vegetation restoration.Therefore,AGS enhanced SMF more than both AG and AS,and may be a more effective strategy for restoring soil functions in alpine and semi-humid sandy lands.Our findings suggest that combining grasses and shrubs in vegetation restoration offers a more sustainable approach,helping to combat desertification and improve management strategies in the alpine sub-humid region.
基金supported by a project of the Shaanxi Youth Science and Technology Star(2021KJXX-87)public welfare geological survey projects of Shaanxi Institute of Geologic Survey(20180301,201918 and 202103)。
文摘With the efficient and intelligent development of computer-based big data processing,applying machine learning methods to the processing and interpretation of logging data in the field of geophysical well logging has broad potential for improving production efficiency.Currently,the Jiyuan Oilfield in the Ordos Basin relies mainly on manual reprocessing and interpretation of old well logging data to identify different fluid types in low-contrast reservoirs,guiding subsequent production work.This study uses well logging data from the Chang 1 reservoir,partitioning the dataset based on individual wells for model training and testing.A deep learning model for intelligent reservoir fluid identification was constructed by incorporating the focal loss function.Comparative validations with five other models,including logistic regression(LR),naive Bayes(NB),gradient boosting decision trees(GBDT),random forest(RF),and support vector machine(SVM),show that this model demonstrates superior identification performance and significantly improves the accuracy of identifying oil-bearing fluids.Mutual information analysis reveals the model's differential dependency on various logging parameters for reservoir fluid identification.This model provides important references and a basis for conducting regional studies and revisiting old wells,demonstrating practical value that can be widely applied.
基金supported by the National Key R&D Program of China[2022YFF0902703]the State Administration for Market Regulation Science and Technology Plan Project(2024MK033).
文摘Recommendation systems are key to boosting user engagement,satisfaction,and retention,particularly on media platforms where personalized content is vital.Sequential recommendation systems learn from user-item interactions to predict future items of interest.However,many current methods rely on unique user and item IDs,limiting their ability to represent users and items effectively,especially in zero-shot learning scenarios where training data is scarce.With the rapid development of Large Language Models(LLMs),researchers are exploring their potential to enhance recommendation systems.However,there is a semantic gap between the linguistic semantics of LLMs and the collaborative semantics of recommendation systems,where items are typically indexed by IDs.Moreover,most research focuses on item representations,neglecting personalized user modeling.To address these issues,we propose a sequential recommendation framework using LLMs,called CIT-Rec,a model that integrates Collaborative semantics for user representation and Image and Text information for item representation to enhance Recommendations.Specifically,by aligning intuitive image information with text containing semantic features,we can more accurately represent items,improving item representation quality.We focus not only on item representations but also on user representations.To more precisely capture users’personalized preferences,we use traditional sequential recommendation models to train on users’historical interaction data,effectively capturing behavioral patterns.Finally,by combining LLMs and traditional sequential recommendation models,we allow the LLM to understand linguistic semantics while capturing collaborative semantics.Extensive evaluations on real-world datasets show that our model outperforms baseline methods,effectively combining user interaction history with item visual and textual modalities to provide personalized recommendations.
基金supported by the Science for Earthquake Resilience(XH14070Y,XH15064Y)the China NationalSpecial Fund for Earthquake Scientific Research in Public Interest(201208009)
文摘The correction for antenna phase center is considered in processing Global Positioning System （GPS） data collected from a network of GPS ultra-short baselines. Compared with the leveling measurements, the GPS results show that the relative vertical offsets for the pairs of GPS receiver antenna phase centers still exist, although absolute calibration of the antenna phase center variations （PCVs） has been considered. With respect to the TPS CR.G3 antenna, the relative vertical offset for the LEI AT504 antenna is 8.4 mm, the offset for the ASH701945C_M antenna is 5.5 mm, and those for the ASHY00936E_C and ASH701945B_M antennas are approximately between 2 mm and -3 mm. The relative offsets for the same type of antennas are approximately 1 mm. By correcting the absolute PCVs, the existing relative offset becomes negligible for horizontal positioning.
基金by the National Natural Science Foundation of China(51808201).
文摘On the basis of harmonic mapping theory,a mobile grid technology is applied to computational fluid dynamics(CFD).Starting from the observation that standard fixed-grid techniques often fail in addressing problems with large deformations,we elaborate a new algorithm relying on the software COMSOL Multiphysics 5.3a to solve the coupling of the mobile grid equation and the governing differential equations for fluid flow.The motion of water in a water tank when the tank waggles is simulated.We demonstrate that this technology can be implemented without a significant increase in the computational cost with respect to standard numerical methods.
基金sponsored by the China National Special Fund of Earthquake Scientific Research in Public Interest(201508009)
文摘Rotational seismology is an emerging field for studying all aspects of rotational ground motions induced by earthquakes,explosions,and ambient vibrations. It is of interest to a wide range of geophysical disciplines,including strong-motion seismology,earthquake engineering,earthquake physics,seismic instrumentation,as well as to the complete description of particle motions( translational motion,rotational motion and deformation).This article mainly summarizes the application of rotational motions to seismology. Based on the collocated measurements of translational motion and rotational motion, the theoretical formulas of calculating the teleseismic Rayleigh wave and the Love wave phase velocity are derived. Taking the Siberian earthquake as an example,the phase velocity structure near the station is calculated. As a ring laser that's sensitive only to SH-type motion,one of the expectations of the ring laser measurements is to help seismologists separate P and S waves in the wave field. It also helps distinguish Love and Rayleigh wave energy in the ocean-generated noise field,as well as determine the back azimuth of oceanic noise sources. The long-period toroidal modes of free oscillation, one of the most challenging observations in seismology,are then observed with a ring laser. Finally,the importance and practicability of multi-parameter inversions including rotational observations are expounded. At the end of this paper,we present the existing problems in rotational seismology research and its broad application prospects.
文摘Environment and disaster monitoring and forecasting small satellite constellation A and B satellites(HJ-1-A,B) are called "environment and disaster reduction satellites A and B" for short.The constellation adopts a 10:30LT sun-synchronous circular orbit,with orbit altitude of 649km.HJ1-A and HJ-1-B are distributed with a phase difference of 180° in the same orbital plane,so as to enhance the time resolution of earth observation.The satellites have orbit maintenance capability,the lifetime is 3 years.Both satellites adopt CAST968 platforms.Two wide-coverage multispectral CCD cameras with resolution 30m and width 700km,a super-spectral imager with resolution 100m and width 50km as well as a data transmission subsystem of 120Mbit/s are deployed on HJ-1-A,which also carries Ka communication testing equipment of Thailand.HJ-1-B has two wide-coverage multispectral CCD cameras(the same as satellite A),one infrared camera with resolution 150m and width 720km and a data transmission subsystem of 60Mbit/s.The coverage period of the wide-coverage multispectral CCD camera is 48 hours.The revisit period of super-spectral imager is 96 hours and the coverage period ofinfrared camera is 96 hours.
基金supported by the National Natural Science Foundation of China(Nos.22001026,21502012)the Chongqing Science and Technology Commission(Nos.CSTB2022NSCQ-MSX1308,CSTB2023NSCQ-MSX0670)+4 种基金the Science and Technology Research Program of Chongqing Municipal Education Commission(No.KJZDK202300806)Graduate Innovation Program of Chongqing Technology and Business University(No.yjscxx2023–211–41)Student Development Assistance Program of Chongqing Technology and Business University(No.2021412237)Fund of National-local Joint Engineering Research Center for Road Engineering and Disaster Prevention and Reduction Technology in Mountainous Areas(No.SQDL-2021–01)Cultural Relics Protection Research Project of Chongqing Bureau of Cultural Relics(2022No.318)。
文摘Single-atom catalysts were widely used to treat atmospheric pollution and alleviate energy crises through photocatalysis.However,how to prevent the aggregation of single atoms during the preparation and catalytic processes remained a great challenge.Herein,a novel ultrathin two-dimensional porphyrin-based single-atom photocatalyst Ti-MOF(abbreviated as TMPd)obtained through a simple hydrothermal synthesis strategy was used for photocatalytic hydrogen evolution and NO removal,in which the singleatom Pd tightly anchored in the center of porphyrin to ensure single-atom Pd stable existence.Compared with most reported MOFs-based photocatalysts,the TMPd showed an excellent hydrogen evolution rate(1.32 mmol g^(-1)h^(-1))and the NO removal efficiency(62%)under visible light irradiation.Aberrationcorrected high-angle annular dark-field scanning transmission electron microscope(HAADF-STEM)and synchrotron-radiation-based X-ray absorption fine-structure spectroscopy(XAFS)proved that pd in TMPd existed in an isolated state,and the atomic force microscope(AFM)proved the ultrathin morphology of TMPd.DFT calculations had demonstrated that single-atom Pd could serve as the active center and more effectively achieve electron transfer,indicating that single-atom Pd played a vital role in photocatalytic hydrogen evolution.In addition,a possible photocatalytic pathway of NO removal was proposed based on ESR and in-situ infrared spectra,in which the catalysts anchored with single-atom Pd could produce more active substances and more effectively oxidize NO to NO_(2)^(-)or NO_(3)^(-).The results suggested that coordinating single-atom metal species as the active site in the center of porphyrin could be a feasible strategy to obtain various ultrathin porphyrin-based single-atom photocatalysts to acquire excellent photocatalytic performance further.
基金Supported by National Technology Support Project(Nos.2011BAB01B01,2012BAH28B04)the National Natural Science Foundation of China(No.40930532)the National High Technology Research&Development Programme of China(No.2011AA120404).
文摘An increasing number of low,medium,and high resolution SAR satellites creates a demand for a generalized sensor model to replace the rigorous sensor model(RSM).The rational polynomial coefficient(RPC)model is a generic sensor model which accurately fits the object-image geometry for various sensor systems with different coefficient values.It has been widely used as an alternative to RSM for photogrammetric processing of optical images,but its applications to SAR images are rarely discussed in publications.In this paper,the feasibility and practicability of the RPC model for SAR images are studied.The RPC model can not only be used to replace the RSM(range–Doppler model for SAR),but also applied to the processing chain for SAR data,thus facilitating the processing of SAR and InSAR data for end users.
文摘Herein, some fundamental open questions on engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials are considered, namely: 1) on thermodynamic stability and related characteristics of some hydrogenated graphene layers nanostructures: relevance to the hydrogen storage problem;2) determination of thermodynamic characteristics of graphene hydrides;3) a treatment and interpretation of some recent STM, STS, HREELS/LEED, PES, ARPS and Raman spectroscopy data on hydrogensorbtion with epitaxial graphenes;4) on the physics of intercalation of hydrogen into surface graphene-like nanoblisters in pyrolytic graphite and epitaxial graphenes;5) on the physics of the elastic and plastic deformation of graphene walls in hydrogenated graphite nanofibers;6) on the physics of engineering of “super” hydrogen sorption (storage) in carbonaceous nanomaterials, in the light of analysis of the Rodriguez-Baker extraordinary data and some others. These fundamental open questions may be solved within several years.
基金sponsored by the Special Fund of CEA(201308009)the Spark Program of CEA(XH12071)
文摘Great earthquakes often occur along or near active fault belts. Thus,monitoring and research on fault deformation are quite important. Methods such as short-leveling,shortbaseline and integrated monitoring profile across fault belts have been used to monitor fault activities for many years. GNSS observations are mainly used to obtain the horizontal velocity field in large areas and to study the activities and deformation of major blocks.GNSS technology has been used to monitor and study the deformation of faults from a different aspects. In this paper,some applications and new explorations of GNSS are discussed. They are:( 1) Research and monitoring of strike-slip activities of faults with GNSS.( 2) Research and monitoring of vertical activities of faults with GNSS.( 3)Investigating the laws of deformation of blocks on the sides of fault zone and setting up strain models to deduce the activities and deformation of faults with respective models and compare the deduced results with the actual measurements across fault. It is concluded that a larger discrepancy between the deduced and the observed deformation indicates a stronger interaction between the blocks,which can be important for predicting the location of a strong earthquake and assessing seismic hazard,as well as the seismicity trend.
基金sponsored by the Earthquake Tracing Task Contract of the Year 2012,China Earthquake Administration(2012020205)
文摘In this paper the method of combining the Bursa model to integrate several regional time series to derive a unified global time series is introduced in detail. Then,an example taken from CMONOC( Crustal Movement Observation Network of China) is used to test if the combination method is feasible. The precision of the integrated time series with the combination method is below 2mm( North),3mm( East),that is same as the results from the direct integration of the time series and the precision of the baseline is below 6mm,which proves that the combination method can be used to integrate several regional time series to derive a unified global time series.
文摘Basic surveying and mapping involves a lot of content, which is a systematic and complex work. In actual surveying and mapping, it is necessary not only to improve the accuracy of surveying and mapping, but also to further improve the efficiency of surveying and mapping. In recent years, UAV technology has developed rapidly, and UAV remote sensing mapping has also become a new surveying and mapping technology. It can use corresponding equipment to control UAVs and photographic equipment to obtain corresponding information. However, the UAV remote sensing mapping technology is still in the initial stage of development at this stage, and further research on practical problems needs to be enhanced when applied in basic surveying and mapping, so as to effectively promote the development of UAV remote sensing mapping technology.
文摘The development and applications of low temperature plasma technology used in surface modification of materials are presented in this paper. Based on plasma sources and ion sources technology, multi-functions ion implantation and deposition technologies were developed and the related processes are also used to treat different products. The related technologies were translated into industrial productions supported by national research projects. Following the last development of international plasma researches, the standardization and internationalization processes of plasma technologies are executed in our center.
基金supported by the National Research Foundation of Korea(NRF)grant funded by the Korean government(MSIT)(No.RS-2022–00165798)Anhui Natural Science Foundation(No.2308085MF211)The authors extend their appreciation to the Deanship of Research and Graduate Studies at King Khalid University for funding this work through Large Research Project under Grant Number(R.G.P.2/491/45).
文摘The rapid advancement of nanotechnology has sparked much interest in applying nanoscale perovskite materials for photodetection applications.These materials are promising candidates for next-generation photodetectors(PDs)due to their unique optoelectronic properties and flexible synthesis routes.This review explores the approaches used in the development and use of optoelectronic devices made of different nanoscale perovskite architectures,including quantum dots,nanosheets,nanorods,nanowires,and nanocrystals.Through a thorough analysis of recent literature,the review also addresses common issues like the mechanisms underlying the degradation of perovskite PDs and offers perspectives on potential solutions to improve stability and scalability that impede widespread implementation.In addition,it highlights that photodetection encompasses the detection of light fields in dimensions other than light intensity and suggests potential avenues for future research to overcome these obstacles and fully realize the potential of nanoscale perovskite materials in state-of-the-art photodetection systems.This review provides a comprehensive overview of nanoscale perovskite PDs and guides future research efforts towards improved performance and wider applicability,making it a valuable resource for researchers.
基金funded by the National Natural Science Foundation of China (Grant No. 42204008)the National Key Research and Development Program of China (No. 2022YFC3003703)the Scientific Research Project Coordinating Fund of the First Monitoring and Application Center, China Earthquake Administration (No. FMC2022014)
文摘Quantitative studies on the interseismic and coseismic deformation characteristics and analysis of the interplay between the seismogenic fault and neighboring faults are crucial for understanding the kinematic features and assessing potential seismic hazards. In this study, the interseismic and coseismic deformation of the 2023 Jishishan M_(S)6.2 earthquake(JSSEQ), including the strain rate field, the slip rates,and locking depths of the seismogenic fault during the interseismic period, were obtained. Moreover, the coseismic slip distribution and geometric attributes of the seismogenic fault were further examined.Finally, the potential earthquake hazard in the vicinity was identified by analyzing the Coulomb failure stress changes(ΔCFS). Before the JSSEQ, the maximum shear and dilatational strain rates near the epicenter were significantly lower, and the seismogenic fault was strongly coupled with thrust and dextral strike-slip motion. The maximum displacement of GNSS stations is about 25 mm, about 11 km southwest of the epicenter. The ascending and descending observations reveal a significantly thrustdominated movement, with maximum line of sight displacements of 78 and 83 mm, respectively.Comparing two coseismic slip distribution results and previous studies, it is considered that the east dipping seismogenic fault is more reasonable. The coseismic fault slip took place at a depth of 7.1-13.2 km, with a maximum slip of 0.43 m and a moment magnitude of 6.1. The earthquake resulted in noticeable stress loading on the southeastern end of the Lajishan north margin fault zone and the Lajishan south margin fault zone, as well as the western end of the West Qinling fault zone, which should be given more attention in future.
