Space Weather最新文献_第8页

One-Dimensional Variational Ionospheric Retrieval Using Radio Occultation Bending Angles: 2. Validation 利用无线电掩星弯曲角的一维可变电离层检索： 2. 验证

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-09 DOI: 10.1029/2023sw003571

S. Elvidge, S. B. Healy, I. D. Culverwell

引用次数: 0

Investigation of Ionospheric Small-Scale Plasma Structures Associated With Particle Precipitation 调查与粒子沉降有关的电离层小尺度等离子体结构

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-09 DOI: 10.1029/2023sw003605

F. Enengl, L. Spogli, D. Kotova, Y. Jin, K. Oksavik, N. Partamies, W. J. Miloch

{"title":"Investigation of Ionospheric Small-Scale Plasma Structures Associated With Particle Precipitation","authors":"F. Enengl, L. Spogli, D. Kotova, Y. Jin, K. Oksavik, N. Partamies, W. J. Miloch","doi":"10.1029/2023sw003605","DOIUrl":"https://doi.org/10.1029/2023sw003605","url":null,"abstract":"We investigate the role of auroral particle precipitation in small-scale (below hundreds of meters) plasma structuring in the auroral ionosphere over the Arctic. In this scope, we analyze together data recorded by an Ionospheric Scintillation Monitor Receiver (ISMR) of Global Navigation Satellite System (GNSS) signals and by an All-Sky Imager located in Longyearbyen, Svalbard (Norway). We leverage on the raw GNSS samples provided at 50 Hz by the ISMR to evaluate amplitude and phase scintillation indices at 1 s time resolution and the Ionosphere-Free Linear Combination at 20 ms time resolution. The simultaneous use of the 1 s GNSS-based scintillation indices allows identifying the scale size of the irregularities involved in plasma structuring in the range of small (up to few hundreds of meters) and medium-scale size ranges (up to few kilometers) for GNSS frequencies and observational geometry. Additionally, they allow identifying the diffractive and refractive nature of fluctuations on the recorded GNSS signals. Six strong auroral events and their effects on plasma structuring are studied. Plasma structuring down to scales of hundreds of meters is seen when strong gradients in auroral emissions at 557.7 nm cross the line of sight between the GNSS satellite and receiver. Local magnetic field measurements confirm small-scale structuring processes coinciding with intensification of ionospheric currents. Since 557.7 nm emissions primarily originate from the ionospheric E-region, plasma instabilities from particle precipitation at E-region altitudes are considered to be responsible for the signatures of small-scale plasma structuring highlighted in the GNSS scintillation data.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"133 ","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139411321","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Deep Learning-Based Regional Ionospheric Total Electron Content Prediction—Long Short-Term Memory (LSTM) and Convolutional LSTM Approach 基于深度学习的区域电离层总电子含量预测--长短期记忆（LSTM）和卷积 LSTM 方法

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-09 DOI: 10.1029/2023sw003763

Se-Heon Jeong, Woo Kyoung Lee, Hyosub Kil, Soojeong Jang, Jeong-Heon Kim, Young-Sil Kwak

{"title":"Deep Learning-Based Regional Ionospheric Total Electron Content Prediction—Long Short-Term Memory (LSTM) and Convolutional LSTM Approach","authors":"Se-Heon Jeong, Woo Kyoung Lee, Hyosub Kil, Soojeong Jang, Jeong-Heon Kim, Young-Sil Kwak","doi":"10.1029/2023sw003763","DOIUrl":"https://doi.org/10.1029/2023sw003763","url":null,"abstract":"This study evaluates the performance of deep learning approach in the prediction of the ionospheric total electron content (TEC) during magnetically quiet periods. Two deep learning techniques, long short-term memory (LSTM) and convolutional LSTM (ConvLSTM), are employed to predict TEC values 24 hr ahead in the vicinity of the Korean Peninsula (26.5°–40°N, 121°–134.5°E). The LSTM method predicts TEC at a single point based on time series of data at that point, whereas the ConvLSTM method simultaneously predicts TEC values at multiple points using spatiotemporal distribution of TEC. Both the LSTM and ConvLSTM models are trained using the complete regional TEC maps reconstructed by applying the Deep Convolutional Generative Adversarial Network–Poisson Blending (DCGAN-PB) method to observed TEC data. The training period spans from 2002 to 2018, and the model performance is evaluated using 2019 data. Our results show that the ConvLSTM method outperforms the LSTM method, generating more reliable TEC maps with smaller root mean square errors when compared to the ground truth (DCGAN-PB TEC maps). This outcome indicates that deep learning models can improve the prediction accuracy of TEC at a specific point by taking into account spatial information of TEC. We conclude that ConvLSTM is a reliable and efficient approach for the prompt ionospheric prediction.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"7 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139411529","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Study on Test-Mass Charging for Taiji Gravitational Wave Observatory 太地引力波观测站测试质量充电研究

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-05 DOI: 10.1029/2023sw003724

Ruilong Han, Minghui Cai, Tao Yang, Liangliang Xu, Qing Xia, Xinyu Jia, Dawei Gao, Mengyao Li, Longlong Zhang, Hongwei Li, Jianwei Han

{"title":"Study on Test-Mass Charging for Taiji Gravitational Wave Observatory","authors":"Ruilong Han, Minghui Cai, Tao Yang, Liangliang Xu, Qing Xia, Xinyu Jia, Dawei Gao, Mengyao Li, Longlong Zhang, Hongwei Li, Jianwei Han","doi":"10.1029/2023sw003724","DOIUrl":"https://doi.org/10.1029/2023sw003724","url":null,"abstract":"Taiji is proposed as a space-based gravitational wave (GW) observatory consisting of three spacecraft in a heliocentric orbit meanwhile with the distance of 3 million kilometers ahead of the Earth at about 20°. Free-falling test masses (TMs) are a key component of the interferometer for space-based GW detection in the 0.1mHz–1 Hz frequency range. Exposure to energetic particles in the space environment can lead to charging of the TMs and thus cause additional electrostatic forces and Lorentz forces that limit the sensitivity of the interferometer and may affect the quality of the scientific data. This study aims to model the charging of TMs during Galactic cosmic rays and solar proton events (SPEs) using the Monte Carlo simulation toolkit meanwhile with constructing the sophisticated 3D spacecraft. The results show that the total net charging rates are 34.48 +e/s and 33.85 +e/s on TM1 and TM2 during the solar minimum, and 9.58 +e/s on TM1 and 9.65 +e/s on TM2 during the solar maximum. We confirm that no matter for solar minimum or solar maximum, protons contribute to the largest proportion of the TMs charging rate. Furthermore, charging for five typical SPEs is also investigated, and the maximum TMs charging rate reaches 76,674 +e/s, indicating that sporadic SPEs have a high risk for TMs charging. Finally, the charging rates of a TM imitation are tested on ground by the 30–50 MeV proton irradiation experiment, and the experimental results show good consistence with the simulation results with the error <10%.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"210 3 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139373998","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions 从不同经验正交函数评估大气层温度模型

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-05 DOI: 10.1029/2023sw003549

Xu Yang, Libin Weng, Jiuhou Lei, Xiaoqian Zhu, Haibing Ruan, Dexin Ren, Zhongli Li, Ruoxi Li, Liangjie Chen

{"title":"Evaluation of the Exospheric Temperature Modeling From Different Empirical Orthogonal Functions","authors":"Xu Yang, Libin Weng, Jiuhou Lei, Xiaoqian Zhu, Haibing Ruan, Dexin Ren, Zhongli Li, Ruoxi Li, Liangjie Chen","doi":"10.1029/2023sw003549","DOIUrl":"https://doi.org/10.1029/2023sw003549","url":null,"abstract":"In this paper, we constructed the Exospheric Temperature Models (ETM) on the basis of CHAMP and GRACE data using different empirical orthogonal functions (EOFs). The EOFs of the exospheric temperature can be derived either from satellite data directly or from the outputs of the Thermosphere Ionosphere Electrodynamics General Circulation Model (TIEGCM) and MSIS models by applying the Principal Component Analysis method. Then, the thermospheric mass densities calculated from ETM are used to compare with the observed data in order to evaluate the performance of different ETM models. It was found that all these three models can provide good specification of thermospheric density including day-night, seasonal, and latitudinal variations. However, the ETM based on CHAMP and GRACE data gives a better performance in modeling the Equatorial Thermospheric Anomaly and the Midnight Density Maximum features than the MSIS-ETM and TIEGCM-ETM. Specifically, independent SWARM-C data comparison showed that the Relative Deviations and corresponding Root-Mean-Square-Errors of our Texo models are less than 8.9% and 22.8%, much better than the MSIS-00 model.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"207 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139374074","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Storm-Time Characteristics of Ionospheric Model (MSAP) Based on Multi-Algorithm Fusion 基于多算法融合的电离层模型（MSAP）的风暴时特性

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-02 DOI: 10.1029/2022sw003360

Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing-song Wang, Xiaohua Deng

{"title":"Storm-Time Characteristics of Ionospheric Model (MSAP) Based on Multi-Algorithm Fusion","authors":"Zhou Chen, Kang Wang, Haimeng Li, Wenti Liao, Rongxin Tang, Jing-song Wang, Xiaohua Deng","doi":"10.1029/2022sw003360","DOIUrl":"https://doi.org/10.1029/2022sw003360","url":null,"abstract":"Geomagnetic storms induce ionospheric disturbances, affecting short-wave radio communication systems. Accurate ionospheric total electron content (TEC) prediction is vital for accurately describing the short-wave radio environment of the ionosphere. We use the Multi-Step Auxiliary Prediction (MSAP) model, a deep learning algorithm, to forecast TEC during geomagnetic storms. The MSAP model integrates Bi-LSTM networks, an auxiliary model, and convolutional processes for spatiotemporal modeling. Our validation shows the MSAP model outperforms the IRI-2016 model in predicting global TEC for the next 6 days in the test set. We assess its performance during 116 geomagnetic storm events, considering storm intensity, solar activity, month, and Universal Time (UT). The MSAP model exhibits a weak correlation with storm intensity and a strong correlation with solar activity. Monthly variation displays similar strong correlations in root mean square error (RMSE) and R2 for both models. For UT variation, the other metrics exhibit a weak correlation with the number of Global Navigation Satellite System stations, except for the RMSE of the MSAP and IRI-2016 models.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"121 2 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139079394","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Machine Learning-Based Emulator for the Physics-Based Simulation of Auroral Current System 基于机器学习的极光电流系统物理模拟器

IF 3.7 2区地球科学

Space Weather Pub Date : 2024-01-02 DOI: 10.1029/2023sw003720

Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita

{"title":"Machine Learning-Based Emulator for the Physics-Based Simulation of Auroral Current System","authors":"Ryuho Kataoka, Aoi Nakamizo, Shinya Nakano, Shigeru Fujita","doi":"10.1029/2023sw003720","DOIUrl":"https://doi.org/10.1029/2023sw003720","url":null,"abstract":"Using a machine learning technique called echo state network (ESN), we have developed an emulator to model the physics-based global magnetohydrodynamic simulation results of REPPU (REProduce Plasma Universe) code. The inputs are the solar wind time series with date and time, and the outputs are the time series of the ionospheric auroral current system in the form of two-dimensional (2D) patterns of field-aligned current, potential, and conductivity. We mediated a principal component analysis for a dimensionality reduction of the 2D map time series. In this study, we report the latest upgraded Surrogate Model for REPPU Auroral Ionosphere version 2 (SMRAI2) with significantly improved resolutions in time and space (5 min in time, ∼1° in latitude, and 4.5° in longitude), where the dipole tilt angle is also newly added as one of the input parameters to reproduce the seasonal dependence. The fundamental dependencies of the steady-state potential and field-aligned current patterns on the interplanetary magnetic field directions are consistent with those obtained from empirical models. Further, we show that the ESN-based emulator can output the AE index so that we can evaluate the performance of the dynamically changing results, comparing with the observed AE index. Since the ESN-based emulator runs a million times faster than the REPPU simulation, it is promising that we can utilize the emulator for the real-time space weather forecast of the auroral current system as well as to obtain large-number ensembles to achieve future data assimilation-based forecast.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"46 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2024-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139079549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Forward-Looking Study of Solar Maximum Impact in 2025: Effects of Satellite Navigation Failure on Aviation Network Operation in the Greater Bay Area, China 2025 年太阳活动最大影响的前瞻性研究：卫星导航故障对中国粤港澳大湾区航空网络运行的影响

IF 3.7 2区地球科学

Space Weather Pub Date : 2023-12-27 DOI: 10.1029/2023sw003678

Dabin Xue, Jian Yang, Zhizhao Liu, Wei Cong

{"title":"Forward-Looking Study of Solar Maximum Impact in 2025: Effects of Satellite Navigation Failure on Aviation Network Operation in the Greater Bay Area, China","authors":"Dabin Xue, Jian Yang, Zhizhao Liu, Wei Cong","doi":"10.1029/2023sw003678","DOIUrl":"https://doi.org/10.1029/2023sw003678","url":null,"abstract":"Satellite navigation based on the Global Navigation Satellite System can provide aircraft with more precise guidance and increase flight efficiency. However, severe space weather events can cause satellite navigation failure due to the dramatic increase in total electron content and irregularities in the ionosphere. Consequently, ground navigation has to be used to replace satellite navigation, increasing aircraft separation standards and reducing airspace capacity. As a result, numerous flights may be delayed or even canceled, incurring significant financial losses. The occurrence peak of space weather events generally coincides with the 11-year-cycle solar maximum, and 2025 is expected to be the upcoming solar maximum. The Greater Bay Area (GBA), located in the equatorial ionization anomaly region of China, is particularly vulnerable to space weather impacts. To explore the effects of satellite navigation failure on flight operation, we conduct this looking-forward study and propose solution methods from the standpoint of Air Traffic Management, by simulating satellite navigation failure scenarios. Based on the projected flight volume in 2025 related to the GBA airports, simulation results show that the economic costs can be tens of millions of Euros, which is dependent on the duration of satellite navigation failure and the time interval of ground navigation-based landing. We believe that this study can be a benchmark for evaluating the potential economic effects of forthcoming space weather on flight operations.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"27 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139055411","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Atmospheric Ionizations by Solar X-Rays, Solar Protons, and Radiation Belt Electrons in September 2017 Space Weather Event 2017 年 9 月空间天气事件中太阳 X 射线、太阳质子和辐射带电子对大气的电离作用

IF 3.7 2区地球科学

Space Weather Pub Date : 2023-12-27 DOI: 10.1029/2023sw003651

Kiyoka Murase, Ryuho Kataoka, Takanori Nishiyama, Kaoru Sato, Masaki Tsutsumi, Yoshimasa Tanaka, Yasunobu Ogawa, Tatsuhiko Sato

{"title":"Atmospheric Ionizations by Solar X-Rays, Solar Protons, and Radiation Belt Electrons in September 2017 Space Weather Event","authors":"Kiyoka Murase, Ryuho Kataoka, Takanori Nishiyama, Kaoru Sato, Masaki Tsutsumi, Yoshimasa Tanaka, Yasunobu Ogawa, Tatsuhiko Sato","doi":"10.1029/2023sw003651","DOIUrl":"https://doi.org/10.1029/2023sw003651","url":null,"abstract":"Energetic particles from space deposit their energies on the Earth's atmosphere and contribute to variations in the concentration of neutral components such as ozone which controls the atmospheric temperature balance. Comprehensive understandings of their global impact on the atmosphere require whole pictures of spatiotemporal ionization distributions due to them. We first attempt to evaluate and summarize the altitude profiles of ionization for the September 2017 space weather event with cutting-edge space-borne and ground-based observations of different types of particle inputs. In early September 2017, the Sun showed notable activity, including X-class flares and solar proton events. During this period, ground-based radar observations have confirmed atmospheric ionization events by energetic particle precipitations of solar flare X-rays, solar protons, and radiation belt electrons, the main sources of ionization into the Earth's atmosphere. We estimate the altitude profiles of the ionization rate by using the Particle and Heavy Ion Transport code System (PHITS) with the input of the particle fluxes obtained by satellites. The estimates are then compared with measurements of the ionization altitude, ionization intensity, and electron density by the radars in the polar region, such as the PANSY radar at Syowa Station and the EISCAT in Tromsø, Norway. We conclude that the PHITS simulation results reasonably reproduce (within the error of a factor of two) those ionizations measured by ground-based instruments with inputs of observed ionization sources by satellites.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"37 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139057710","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Analysis of the Geoelectric Field in Sweden Over Solar Cycles 23 and 24: Spatial and Temporal Variability During Strong GIC Events 太阳周期 23 和 24 期间的瑞典地电场分析：强烈 GIC 事件期间的空间和时间变异性

IF 3.7 2区地球科学

Space Weather Pub Date : 2023-12-27 DOI: 10.1029/2023sw003588

V. Lanabere, A. P. Dimmock, L. Rosenqvist, L. Juusola, A. Viljanen, A. Johlander, E. Odelstad

{"title":"Analysis of the Geoelectric Field in Sweden Over Solar Cycles 23 and 24: Spatial and Temporal Variability During Strong GIC Events","authors":"V. Lanabere, A. P. Dimmock, L. Rosenqvist, L. Juusola, A. Viljanen, A. Johlander, E. Odelstad","doi":"10.1029/2023sw003588","DOIUrl":"https://doi.org/10.1029/2023sw003588","url":null,"abstract":"Geomagnetic storms can produce large perturbations on the Earth magnetic field. Through complex magnetosphere-ionosphere coupling, the geoelectric field (E) and geomagnetic field (B) are highly perturbed. The E is the physical driver of geomagnetically induced currents. However, a statistical study of the E in Sweden has never been done before. We combined geomagnetic data from the International Monitor for Auroral Geomagnetic Effects network in Northern Europe with a 3-D structure of Earth's electrical conductivity in Sweden as the input of a 1-D model to compute the E between 2000 and 2018. Northwestern Sweden presents statistically larger E magnitudes due to larger |dB/dt| variations in the north than in the south of Sweden and relative lower conductivity in the west compared to central and eastern Sweden. In contrast, the 15 strongest daily maximum |E| events present more frequently a maximum magnitude in central Sweden (62.25°N) and their relative strengths are not the same for all latitudes. These results highlight the different regional response to geomagnetic storms, which can be related to ground conductivity variability and the complex magnetosphere-ionosphere coupling mechanisms.","PeriodicalId":22181,"journal":{"name":"Space Weather","volume":"2 1","pages":""},"PeriodicalIF":3.7,"publicationDate":"2023-12-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139055455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0