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Impacts of Dry Deposition Processes With Resolved Dust Particle Sizes on Simulating the Martian Dust

Journal of Geophysical Research: Planets 2025年第5期130卷

作者： Lulu Li Chun Zhao Claire E. Newman Yongxuan Zhao Jiawang Feng Tao Li Chengyun Yang Yingxi Yue Deep Space Exploration Laboratory/School of Earth and Space Sciences CMA-USTC Laboratory of Fengyun Remote Sensing State Key Laboratory of Fire Science Institute of Advanced Interdisciplinary Research on High-Performance Computing Systems and Software University of Science and Technology of China Hefei China Laoshan Laboratory Qingdao China CAS Center for Excellence in Comparative Planetology University of Science and Technology of China Hefei China Aeolis Research Chandler AZ USA

Mars, characterized as a “desert” planet with little water vapor, primarily relies on dry deposition for dust removal. Although these processes include gravitational sedimentation, turbulent transfer, Brownian diffusion, impaction, interception, and rebound, most current models consider only gravitational sedimentation. To have a more comprehensive understanding of the effects of Martian dust removal processes, a physics-based scheme of dry deposition processes with resolved dust particle sizes is implemented in the Mars Weather Research and Forecasting (MarsWRF) model. Results show that the size-resolved dry deposition scheme significantly increases the dry deposition velocity, with the maximum difference (over 0.024 m/s) occurring at 0.884 μm size bin. This enhanced removal efficiency leads to an increase of 0.4 μm in the effective radius of airborne dust throughout the year and a reduction of approximately 0.09 in dust opacity, particularly in the northern high latitudes during autumn and winter, compared to the simulation that only considers a size-resolved gravitational sedimentation scheme. The overestimation of low-level atmospheric temperature in the mid-to-low latitudes, excluding near-surface regions between 20 ° $20\mathit{{}^{\circ}}$ and 60 ° $60\mathit{{}^{\circ}}$ N, during L s = 230 − 250 ° ${L}_{s}=230-250\mathit{{}^{\circ}}$ (considered as peak-dust phase) is partially corrected, with a correction of up to 1 K compared to the single-particle size simulation and up to 5 K compared to the size-resolved sedimentation-only simulation, bringing it closer to MCS observations. Additionally, the size-resolved dry deposition simulation reduces the condensation rate of atmospheric CO 2 and the thickness of the northern CO 2 ice cap, aligning better with Viking Lander observations during northern winter and spring than the size-resolved sedimentation-only simulation. A physics-based scheme of dry deposition processes with size-resolved particles is implemente

关键词： dry deposition Martian dust resolved particle sizes MarsWRF

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Research on Modeling of spatial information Network based on combat ring 3

Research on Modeling of spatial information Network based on...

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3rd International Conference on Digital Signal and Computer Communications, DSCC 2023

作者： Di, Lu Zhongwen, Zhao Yaru, Wang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (数字)9781510666566

ISBN: (纸本)9781510666559

Spatial information network itself is a comprehensive information network with multiple functions, which plays an important role in information acquisition, attack support, navigation and positioning, etc. In order to describe the function of spatial information network in detail, the combat ring theory is introduced to model the nodes, inter-satellite links and earth-satellite links of the network. At the same time, due to its complex and dynamic nature, Different from conventional combat network, the time accumulation graph model is introduced to further describe the network model, so as to truly reflect the support and attack capability of spatial information network under the combat background. © 2023 SPIE.

关键词： Graph theory

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Multi-objective optimization of reconnaissance constellation based on machine learning 4

Multi-objective optimization of reconnaissance constellation...

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4th International Conference on Computer science and Communication technology, ICCSCT 2023

作者： Liu, Yali Xiong, Wei Xiong, Minghui Yu, Xiaolan Liu, Zheng Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781510671232

The optimization of reconnaissance constellation is an important step in the construction of space-based information system, and the coverage performance is the key index of the optimization of reconnaissance constellation. However, the coverage performance of the current constellation is mostly obtained through the simulation system, which has high time complexity and low efficiency, seriously slowing down the speed of constellation optimization. In order to improve the efficiency of constellation optimization, a two-stage optimization scheme of reconnaissance constellation based on machine learning is proposed. First, the trained machine learning prediction model is combined with the evolutionary algorithm to carry out rough optimization of the reconnaissance constellation, and the decision variable space after the scope is reduced is obtained. Then, in the reduced decision variable space, the simulation system and evolutionary algorithm are used to further optimize the problem, and the final result is obtained. The scheme proposed in this paper speeds up the convergence of population by reducing the search space of decision variables, thus improving the optimization efficiency. By comparing the optimization results of this scheme with those of the traditional scheme, it is found that the proposed scheme is 78.21% shorter than that of the traditional scheme under the premise that the quality gap between the optimization results of the traditional scheme and the traditional scheme is acceptable, which greatly improves the optimization speed of the reconnaissance constellation, and verifies the effectiveness and advancement of the proposed scheme. © 2023 SPIE.

关键词： Multiobjective optimization

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Better Modeling the Hierarchical Structure of Language for Sentence Semantic Matching 2

Better Modeling the Hierarchical Structure of Language for S...

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2020 2nd International Conference on Artificial Intelligence Technologies and Application, ICAITA 2020

作者： Pei, Zhongmin Li, Changqun Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing100014 China

Sentence semantic matching requires understanding the semantic relationship between two sentences, which is widely used in various natural language tasks such as paraphrase identification, natural language inference and question answering. Usually, the underlying structure of sentence is not strictly sequential, this structure is hierarchical. This paper studies how to better model the hierarchical structure of sentence for semantic matching. Recent research suggests that BERT implicitly captures classical, tree-like structures. Based on this, this paper proposes to further enhance the strength of modeling hierarchical structure of language with an advanced variant of LSTM-Ordered Neurons LSTM(ON-LSTM), which introduces a syntax-oriented inductive bias to perform the composition of classical tree structure. Experimental results demonstrate that the proposed approach, which enhances hierarchical structure of language, significantly improves the performance of sentence semantic matching. © 2020 Published under licence by IOP Publishing Ltd.

关键词： Modeling languages

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Design and modeling of satellite network structure for business scenarios

Design and modeling of satellite network structure for busin...

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2020 International Seminar on Artificial Intelligence, Networking and Information technology, AINIT 2020

作者： Ren, Lintao Pei, Zhongmin Xiong, Wei Luo, Zhangkai Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

In view of the actual decentralized development of the satellite service constellation and the trend of space-ground integrated information network, based on the idea of clustering, methodology of complex network community structure, a business scenario-oriented satellite network structure is designed. On the one hand, it reflects the different separation and integration of satellite constellations in business scenarios. On the other hand, the "head node"mechanism is introduced to be responsible for the interaction between constellation in different business scenarios. The satellite network structure is modeled using the growth and priority connection mechanism, and through computational derivation and simulation validation, the scale-free characteristics of the satellite network are revealed. Finally, through the simulation experiments on different satellite network parameters, the effect of different parameters on the static geometry, network efficiency, etc., are obtained. The influence of the law of the network will provide theoretical and methodological reference for the design of satellite network structure. © Published under licence by IOP Publishing Ltd.

关键词： Complex networks

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Denoising of hyperspectral images based on principal component analysis and adaptive sparse coding 10

Denoising of hyperspectral images based on principal compone...

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10th IAPR Workshop on Pattern Recognition in Remote Sensing, PRRS 2018

作者： Xiaorui, Song Lingda, Wu Space Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing101416 China

ISBN: (纸本)9781538684795

In view of the special properties of hyperspectral images(HSI) in the transform domain, in this paper, a new denoising method of HSI based on principal component analysis(PCA) and adaptive sparse coding is proposed. Firstly, the principal component image of each channel is obtained by performing PCA transform on the noisy HSI. Then, the first PCA output channels which contain a majority of the total energy of an HSI data cube are retained, and the rest PCA output channels which contain a small amount of energy, termed noise component images, are subjected to noise reduction through an adaptive sparse coding method. The encoding dictionaries are learned from each channel of noise component images by an approach of online dictionary learning. Finally, the denoised HSI is obtained by the inverse PCA transform. The proposed method takes the advantages of PCA and adaptive sparse representation that has better adaptability to the HSI. It not only performs better in denoising, but also preserves the details and alleviates the blocking artifacts well. The effectiveness of the proposed approach to hyperspectral denoising, termed PCASpC, is illustrated in a series of experiments with synthetic and realworld data where it outperforms the state-of-the-art. © 2018 IEEE.

关键词： Principal component analysis

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Visualization of the non-dominated solutions in many-objective optimization 4

Visualization of the non-dominated solutions in many-objecti...

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4th IEEE International Conference on Data science in Cyberspace, DSC 2019

作者： Xiong, Minghui Xiong, Wei Jian, Ping Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9781728145280

The high dimensionality of many-objective optimization makes it difficult to represent the relationships between objectives and solutions of such problems. The overlapping and visual confusion problems occur when mapping high-dimensional solution sets to two-dimensional planes in the conventional parallel coordinate plots, which adds difficulty for decision maker choosing a preference solution. This paper introduces a visualization method for many-objective optimization non-dominated solution sets based on fuzzy theory and electromagnetic field clustering. The fuzzy theory is used to classify the non-dominated solution set, and each rating grade denotes the preference degree of decision maker. Visual clustering is conducted by electromagnetic field clustering, the solutions in the same cluster attract each other while solutions between clusters are mutually exclusive. The distribution structure of preference solution is highlighted through brightness gradient enhancement to optimize the visual perception. The experimental results show that the visualization plot of the proposed method is more clear and intuitive than the original plot, which is convenient for decision makers to discover the pattern of solution sets and make final decisions. © 2019 IEEE.

关键词： Visualization

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Researchment of mainlobe anti-jamming algorithms 6

Researchment of mainlobe anti-jamming algorithms

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6th Annual International Conference on Computer science and Applications, CSA 2020

作者： Luo, Zhangkai Pei, Zhongmin Li, Yinan Wang, Xinmin Zou, Bo Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101400 China

Main lobe interferences usually cause the distortion and peak offset of main lobe and the heighten of side lobe level in adaptive beamformers. The block matrix algorithm utilized the direction vector which was determined by both the antenna arrays and the direction of interference to eliminate the main lobe interference. But this algorithms is sensitive to the error occurred in the interference arrive angle and would consume the array of degrees of freedom. In this paper a new algorithm is proposed which projects the receive signal into a space which is orthogonal to the signal subspace to achieve the goal. The space can get by three steps. Frist we obtain eigenvalues by the decomposition of the covariance matrix of the snapshots to evaluate the noise power. Then we get a new matrix by removing the noise from the covariance matrix of the snapshots. At last we get the target space by conducting the singular value decomposition to the new matrix. Performance is mainly assessed in terms of the beamforming gain and the signal to interference and noise (SINR) ratio. The computer simulation shows the effective of this method. © 2020 Institute of Physics Publishing. All rights reserved.

关键词： Covariance matrix

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Wireless sensor network localization approach based on bayesian MDS 5th

Wireless sensor network localization approach based on bayes...

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5th International Conference on Geo-Spatial Knowledge and Intelligence, GSKI 2017

作者： Pei, Zhongmin Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

ISBN: (纸本)9789811308956

The aim of wireless sensor networks (WSNs) are to perceive, collect and process the information of sensor nodes within the coverage of the network. As a bridge between the physical world and the digital one, WSNs have widely been applied in many fields. One of the key issues for most applications is to know the location of sensor nodes. Though localization algorithms based on multidimensional scaling (MDS), which only need several anchor nodes, have been proven to be robust with respect to range-based implementations, these methods are sensitive inaccuracy range measure. This article proposes a novel localization algorithm based on Bayesian MDS, named as MDS-MAP(P, B), where P and B denote the use of patching of local maps and Bayesian MDS, respectively. Experimental results in real-world systems show that our method is more robust and efficient. © Springer Nature Singapore Pte Ltd. 2018.

关键词： Sensor nodes

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Research on space construction and selection method of space-based information support equipment

Research on space construction and selection method of space...

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2022 International Conference on Aerospace, Aerodynamics and Mechatronics Engineering, AAME 2022

作者： Chang, Qing Liu, Desheng Yang, Yang Science and Technology on Complex Electronic System Simulation Laboratory Space Engineering University Beijing101416 China

With the rapid development of information technology and space technology, the important position of space-based information support equipment is increasingly prominent. However, the increasing types and quantities of space-based information support equipment also put forward higher requirements for the formulation of combat plans, decision-making and deployment of combat equipment. In this paper, based on the seven-step method, an ontology construction method suitable for space-based information support equipment is proposed, and the ontology construction tool Protégé is used to realize the ontology modeling of space-based information support equipment. By acquiring open source satellite data, the knowledge map construction tool Neo4j is used to construct the knowledge map of space-based information support equipment. Finally, the space-based information support equipment conforming to the combat mission can be obtained to provide assistance for the formulation of the combat plan and the decision of equipment utilization. © Published under licence by IOP Publishing Ltd.

关键词： Decision making

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