Advances in Space Research最新文献

{"title":"Prediction of coronal mass ejection transit times using machine learning-assisted drag based model","authors":"Tiar Dani ,&nbsp;Edi Winarko ,&nbsp;Lukman Heryawan ,&nbsp;Johan Muhamad ,&nbsp;Rasdewita Kesumaningrum ,&nbsp;Santi Sulistiani ,&nbsp;Muhamad Zamzam Nurzaman ,&nbsp;Ayu Dyah Pangestu ,&nbsp;Elvina Ayu Ratnasari ,&nbsp;Mira Juangsih ,&nbsp;Bakuh D.S. Budi ,&nbsp;Farah Najla","doi":"10.1016/j.asr.2025.08.023","DOIUrl":"10.1016/j.asr.2025.08.023","url":null,"abstract":"<div><div>Coronal mass ejections (CMEs) are the main drivers of space weather and significantly influence the near-Earth environment. Given the potentially severe impact of CMEs on Earth, it is essential to develop models that can accurately predict their arrival times. The Drag Based Model (DBM) is a physics-based model used to predict the propagation of CMEs through the interplanetary medium, specifically predicting CME transit time (<em>TT</em>) and arrival speed (<span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mi>as</mi></mrow></msub></mrow></math></span>) at 1 AU. DBM is known for its simplicity, computational efficiency, and ability to provide fairly accurate predictions, as demonstrated in several studies achieving mean absolute errors (MAE) in the range of 10–15 h for CME <em>TT</em>. However, DBM relies on constant solar wind speed (<span><math><mrow><mi>ω</mi></mrow></math></span>) and a static drag coefficient (<span><math><mrow><mi>γ</mi></mrow></math></span>), which may limit its predictive accuracy. This study introduces Random Forest Regressor models to predict dynamic <span><math><mrow><mi>ω</mi></mrow></math></span> and <span><math><mrow><mi>γ</mi></mrow></math></span> to improve the accuracy of the DBM. The models are trained on a dataset comprising CME parameters, including CME linear speed, CME speed at 20 <span><math><mrow><msub><mrow><mi>R</mi></mrow><mrow><mo>⊙</mo></mrow></msub></mrow></math></span>, CME angular width, and CME measurement position angle (MPA). Additionally, sunspot number and solar wind speed at 1 AU, corresponding to the CME onset time, are incorporated as supplementary inputs. The target dataset consists of values <span><math><mrow><mi>ω</mi></mrow></math></span> and <span><math><mrow><mi>γ</mi></mrow></math></span> derived from analytical solutions. Furthermore, we propose a novel approach by predicting <span><math><mrow><mi>γ</mi></mrow></math></span> indirectly through a <span><math><mrow><mi>γ</mi></mrow></math></span>/<span><math><mrow><mi>ω</mi></mrow></math></span> model. Our results demonstrate that the <span><math><mrow><mi>γ</mi></mrow></math></span>/<span><math><mrow><mi>ω</mi></mrow></math></span> model combined with constant <span><math><mrow><mi>ω</mi></mrow></math></span> provides better accuracy for DBM in predicting <em>TT</em> and <span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mi>as</mi></mrow></msub></mrow></math></span> than other static or dynamic combinations of <span><math><mrow><mi>ω</mi></mrow></math></span> and <span><math><mrow><mi>γ</mi></mrow></math></span>. This machine learning-assisted DBM framework achieves the lowest MAE of 8.73 h for <em>TT</em> and 74 km/s for <span><math><mrow><msub><mrow><mi>v</mi></mrow><mrow><mi>as</mi></mrow></msub></mrow></math></span>, which is comparable to various models on the same subject.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5714-5730"},"PeriodicalIF":2.8,"publicationDate":"2025-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204156","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating ground-based spectral reflectance and machine learning for Cotton Leaf Curl Virus Disease (CLCuD) detection in cotton crop","authors":"Rahul Nigam ,&nbsp;Karunesh K. Shukla ,&nbsp;Ajanta Birah ,&nbsp;Mukesh K. Khokhar ,&nbsp;Bimal K. Bhattacharya","doi":"10.1016/j.asr.2025.08.019","DOIUrl":"10.1016/j.asr.2025.08.019","url":null,"abstract":"<div><div>Early detection of <em>cotton leaf curl virus disease (CLCuD)</em> is essential for reducing yield losses and minimizing pesticide use in cotton cultivation. This study integrates ground-based hyperspectral reflectance data with machine learning (ML) techniques to establish a robust framework for detecting <em>CLCuD</em> severity under field conditions. A total of 1700 hyperspectral samples were collected from healthy and diseased cotton leaves across multiple seasons in Punjab, India. The disease severity grading was refined based on spectral response overlap, allowing for improved class separability. Four supervised classifiers - Random Forest (RF), Support Vector Machine (SVM), K-Nearest Neighbors (KNN), and Decision Tree (DT) - were evaluated using raw, normalized, PCA-transformed, and Multi-Scale Aggregation (MSA)-processed datasets. RF combined with MSA preprocessing achieved the highest overall accuracy (0.87), followed by KNN (0.82). Spectral derivative analysis and recursive feature elimination identified red-edge (680–750 nm) bands as key indicators of disease severity. Comparative analysis of spectral sub-regions revealed that the 400–1200 nm and full 400–2500 nm ranges offered the most reliable discrimination of disease grades. The study demonstrates the potential of combining domain-informed grading, multiscale spectral aggregation, and feature-optimized ML models for early-stage <em>CLCuD</em> detection. This approach offers a scalable and non-destructive tool for precision agriculture, enabling timely management of viral diseases and supporting sustainable cotton production.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5126-5145"},"PeriodicalIF":2.8,"publicationDate":"2025-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Low-thrust minimum-fuel trajectory optimization for the Sun-Earth inclined L4 mission","authors":"Jinsung Lee ,&nbsp;Daniel J. Scheeres ,&nbsp;Jaemyung Ahn","doi":"10.1016/j.asr.2025.08.017","DOIUrl":"10.1016/j.asr.2025.08.017","url":null,"abstract":"<div><div>This study focuses on optimizing low-thrust trajectories for a spacecraft to achieve an inclined Sun-Earth L4 periodic orbit. The optimization is formulated as an indirect optimization problem, based on the Euler–Lagrange equations of motion. The objective is to minimize the total propellant mass, following the Pontryagin Minimum Principle, which maximizes the spacecraft’s mass upon arrival at the Sun-Earth L4 point. The analysis includes two key optimal control problems: Sun-Earth L4 insertion and inclination-pumping optimal control problem. The Sun-Earth L4 insertion optimal control problem solves the optimal thrusting direction and throttling required to stop at the Sun-Earth L4 with the desired ecliptic inclination after launch. The inclination-pumping optimal control problem solves the optimal thrusting direction and throttling required to move the spacecraft from a low to a high-inclination orbit about Sun-Earth L4. The first continuation strategy is transitioning the spacecraft trajectory from energy-optimal to fuel-optimal solutions. Then, a second continuation strategy is employed to decrease and increase the maximum thrust level, which generates the control surfaces that reveal the relationship between fuel-optimal trajectories and thrust levels. The test cases involve a 1,500 kg spacecraft equipped with a 200 mN electric thruster powered by solar arrays that provide 3 kW end-of-life—2-kW of which is required, leaving a steady 1 kW margin. These cases analyze the mass at arrival for various initial inclinations and maneuver sequences. The analysis performed in the case study section targets <span><math><mrow><mn>14.5</mn><mi>°</mi></mrow></math></span> inclined Sun-Earth L4 periodic orbit with several intermediate inclinations. Optimal launch windows for high-latitude solar surface observations are calculated for each trajectory type, accounting for the tilt angle of the Sun’s rotational axis from the ecliptic frame.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5367-5382"},"PeriodicalIF":2.8,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"How do land use changes affect temperature and groundwater in urban areas? An integrated remote sensing, and machine learning approach","authors":"Sareer Ahmad ,&nbsp;Rashid Farooq ,&nbsp;Muhammad Waseem ,&nbsp;Silvia Kohnová","doi":"10.1016/j.asr.2025.08.021","DOIUrl":"10.1016/j.asr.2025.08.021","url":null,"abstract":"<div><div>Present study examines the complex interrelationship between land use/land cover (LULC) changes, land surface temperature (LST), and groundwater levels in Lahore, Pakistan, from 2013 to 2038, with a focus on rapid urbanization. This study aims to fill the gap in projections of future LULC and its impacts on water resources, utilizing advanced deep learning techniques to enhance the classification accuracy of land cover maps and the reliability of future land use simulations. Using Landsat imagery, LULC changes were classified, and LST values were derived for the 2013–2023 period, with accuracy validated through metrics such as the kappa coefficient. To predict future LULC changes (2023–2038), a Cellular Automata-Artificial Neural Network (CA-ANN) model was employed, achieving a prediction accuracy of 93 %. The analysis revealed significant increases in cropland (46.32 %) and built-up areas (23.11 %), while water bodies and vegetation cover decreased by 2.02 % and 10.14 %, respectively. LULC changes correlated with LST increases ranging from 19.91 °C to 46.52 °C. The CA-ANN model forecasts a continued rise in built-up areas (26.21 %) by 2038, alongside reductions in water bodies (1.21 %) and increases in tree cover (9.15 %). Additionally, groundwater depth data from monitoring wells showed a concerning increase in depth over the past decade, highlighting the influence of LULC changes on both LST and groundwater depletion, indicative of the urban heat island effect.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 8","pages":"Pages 3963-3987"},"PeriodicalIF":2.8,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145098936","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Effects of thermal factors on the microstructure and properties of electromagnetic induction-sintered HUST-1 simulated lunar soil","authors":"Penglin Wang,&nbsp;Fen Dang,&nbsp;Zekai Wang,&nbsp;Yifeng Xia,&nbsp;Yan Zhou,&nbsp;Cheng Zhou","doi":"10.1016/j.asr.2025.08.013","DOIUrl":"10.1016/j.asr.2025.08.013","url":null,"abstract":"<div><div>In-situ lunar regolith formation is a crucial approach for establishing a long-term lunar base. Electromagnetic induction sintering has been applied for the first time to fabricate dense components for lunar architecture. This study explored the adaptation range of induction sintering conditions for the simulated lunar soil and systematically examined the effects of sintering parameters, including sintering temperature, dwell time, and current frequency, on the microstructure, mechanical properties, and thermal properties of the sintered simulant lunar soil. The results indicated that the maximum density of 2.05 g/cm³ was achieved at a sintering temperature of 1050 °C, a dwell time of 15 min, and a current frequency of 800 Hz. The sintered samples exhibited a compressive strength of 85.93 MPa. Taguchi analysis revealed that sintering temperature predominantly influenced compressive strength properties, while dwell time and current frequency had minimal effects. This research presents a potential method for in-situ resource utilization in future lunar construction.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5504-5517"},"PeriodicalIF":2.8,"publicationDate":"2025-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204477","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"What are a geospace storm and a pan-planetary storm?","authors":"L.F. Chernogor","doi":"10.1016/j.asr.2025.08.016","DOIUrl":"10.1016/j.asr.2025.08.016","url":null,"abstract":"<div><div>Solar storms have been demonstrated to cause significant disturbances not only in the interplanetary medium, but also across all the geospheres, revealing that traditional concepts such as “geomagnetic storm” and “ionospheric storm” are insufficient for a comprehensive description of disturbances in all the geospheres. Instead, more precise, comprehensive, and adequate definitions are presented, viz “geospace storm” and “pan-planetary storm”. The key features of and interconnections between geospace, magnetospheric, ionospheric, atmospheric, and lithospheric storms, as well as storms in the magnetic, electric, baric, and thermal fields, have been analyzed. A seven-level classification of storms has been developed, and indices have been proposed to describe the level of each storm and its description, along with logarithmic indicators characterizing the storm energy. In order to produce an adequate description of the entire complex of processes in the natural phenomenon termed the Sun–interplanetary-medium–magnetosphere–ionosphere–atmosphere–Earth (internal shells) system, a systems approach based on the systems paradigm is necessary.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5640-5657"},"PeriodicalIF":2.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204149","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perpendicular acceleration of near-equatorially mirroring protons by electromagnetic ion cyclotron (EMIC) waves","authors":"Su Zhou ,&nbsp;Yongzhi Cai ,&nbsp;Shunli Li ,&nbsp;Zongxian Wu ,&nbsp;Ying Hou","doi":"10.1016/j.asr.2025.08.018","DOIUrl":"10.1016/j.asr.2025.08.018","url":null,"abstract":"<div><div>The terrestrial ring current protons can resonate with electromagnetic ion cyclotron (EMIC) waves; however, the nonlinear interaction between near-equatorially mirroring protons (with equatorial pitch angle α_eq above 80°) and EMIC waves remains insufficiently explored. This study conducted a test-particle simulation and found that near-equatorially mirroring protons exhibit strong nonlinear resonance induced by intense H⁺ band EMIC waves with an amplitude of 3.0 nT. Nonlinear phase trapping causes these protons to undergo sustained resonance, leading to significant enhancement in the protons’ perpendicular velocity. However, the parallel velocity does not experience effective acceleration and instead exhibits a periodic oscillation. The perpendicular acceleration transports energetic protons to higher pitch angles, heating them to higher energies. Even for moderately intense EMIC waves above 0.5 nT, the perpendicular acceleration is still significant. As the wave amplitude increases, the nonlinear phase trapping effect intensifies and produces more pronounced acceleration. This study provides insight into the pitch angle distribution (PAD) evolution of ring current protons, particularly the formation of trapped PAD near α_eq = 90°. These simulation results contribute to a deeper understanding of the ring current dynamics and proton energization during geomagnetic storms.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5658-5671"},"PeriodicalIF":2.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Aerodynamic shape optimization of hypersonic vehicle based on improved class-shape-transformation method","authors":"Menghan Yin ,&nbsp;Erming He ,&nbsp;Yongzhi Li ,&nbsp;Cong Zhang","doi":"10.1016/j.asr.2025.08.015","DOIUrl":"10.1016/j.asr.2025.08.015","url":null,"abstract":"<div><div>The curse of dimensionality and the lack of intuitive features pose critical challenges in the parametric design of complex configurations for advanced hypersonic vehicles. This paper proposes an improved parameterization method based on the inverse fitting class-shape transformation (CST) technique, enabling accurate geometric representation through relatively few physically interpretable design parameters. Building upon this parameterization method coupled with computational fluid dynamics (CFD), a systematic aerodynamic optimization framework was established for the hypersonic vehicle. The framework employed a hybrid infilling strategy combining minimum surrogate prediction (MSP) and expected improvement (EI) criteria, with optimization driven by the multi-island genetic algorithm (MIGA). Results demonstrate that the optimized shape achieves a 7.83% enhancement in lift-drag ratio (<em>L</em>/<em>D</em>) over the conventional optimization approach without adaptive infilling. Compared to the basic shape (sampling average level), aerodynamic performance improvements are predominantly attributed to drag reduction. To further explore performance enhancement potential, a parametric study of fineness ratio effects reveals that strategic adjustments can establish an optimal compromise between aerodynamic efficiency and maneuverability. The optimization framework provides theoretical and methodological support for aerodynamic shape optimization of hypersonic vehicles.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5518-5534"},"PeriodicalIF":2.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204478","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Landslide susceptibility mapping using advanced ensemble learning techniques integrating a reduced error pruning tree","authors":"Junpeng Huang ,&nbsp;Zizhao Zhang ,&nbsp;Sixiang Ling ,&nbsp;Kai Chen ,&nbsp;Guangming Shi ,&nbsp;Yanyang Zhang","doi":"10.1016/j.asr.2025.08.014","DOIUrl":"10.1016/j.asr.2025.08.014","url":null,"abstract":"<div><div>Landslide susceptibility mapping plays a vital role in disaster risk reduction, urban planning, and infrastructure protection, particularly in mountainous regions like the eastern margin of the Tibetan Plateau. However, conventional machine learning models often suffer from overfitting and limited generalization capacity due to insufficient feature diversity and modelling strategies. Therefore, this study proposes three novel hybrid models that integrate ensemble learning algorithms (bagging (Ba), random committee (RC), and rotation forest (RoF)) with the reduced error pruning tree (REPT) classifier to assess landslide susceptibility in Dujiangyan city, China. Initially, a geospatial database of the study area was prepared that included 1275 landslide events that were divided into training (70 %) and testing (30 %) datasets and 13 landslide conditioning factors. Then, the selection of landslide conditioning factors was evaluated using information gain. Finally, the area under the receiver operating characteristic curve (AUC) and statistical indices were used to evaluate and validate the performance of the models. The results reveal that the slope angle, lithology, and peak ground acceleration are the most important parameters influencing landside occurrence. The Ba-REPT model achieved the highest AUC (0.857) and highest accuracy (78.66 %), followed by the RoF-REPT (AUC = 0.851, accuracy = 77.49 %), RC-REPT (AUC = 0.849, accuracy = 77.36 %), and REPT (AUC = 0.819, accuracy = 77.09 %) models. Moreover, performance differences between training and testing sets were relatively small, indicating that overfitting was effectively mitigated through preprocessing, feature selection, and algorithm optimization. High and very high susceptibility zones, covering 20.13 % ∼ 24.30 % of the area, were primarily concentrated in regions with steep slopes, fragile lithology, high PGA, and proximity to active faults. The resulting susceptibility maps provide spatially explicit support for disaster prevention, early warning, and land-use policy-making.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5102-5125"},"PeriodicalIF":2.8,"publicationDate":"2025-08-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Modeling and vibration analysis of a long and flexible arm applied to realize the space docking process","authors":"Jiahe Yan,&nbsp;Haifei Zhu,&nbsp;Hanzhen Xiao","doi":"10.1016/j.asr.2025.08.012","DOIUrl":"10.1016/j.asr.2025.08.012","url":null,"abstract":"<div><div>Space docking with a long and flexible arm inserting the orbital engine nozzle of the satellite has been a popular way in On-Orbit Servicing (OOS) missions. When the flexible arm is introduced into space docking mechanism, its vibration and impact characteristics will be affected by the coupling motion of rigid counterweights. In order to enhance the reliability and success rate of the novel docking concept, the modeling and vibration analysis of the flexible arm should be studied. Firstly, the modeling of a long and flexible arm applied in space docking process, which includes an analytical solution for vibration modes and sliding contact of flexible arm coupled with rigid counterweights, was newly proposed to solve the novel docking problem. Secondly, the experimental validation and analysis was presented. Then, the effects of rigid counterweights on flexible arm docking process were discussed in detail based on the theoretical model and the experimental validation. The theoretical and experimental research in this paper has certain reference value for enhancing and improving the performance of the new docking system.</div></div>","PeriodicalId":50850,"journal":{"name":"Advances in Space Research","volume":"76 9","pages":"Pages 5489-5503"},"PeriodicalIF":2.8,"publicationDate":"2025-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145204476","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}