Xiaojing Sun

Geostationary Orbit Responses to the CME‐Pileup Superstorm on 10 May 2024: Multi‐Satellite Observations

Xiaojing Sun, Yixin Hao, Dianjun Zhang, Chong Chen et autres

Abstract The extreme geomagnetic storm of 10 May 2024, driven by the interplanetary pileup and merger of multiple coronal mass ejections (CMEs), provides a unique opportunity to investigate the global, local‐time‐resolved response of the geostationary (GEO) environment. Using coordinated observations from GOES‐16 …

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How Can Propagation Speed of Interplanetary Shocks Affect the Radiation Belts Dynamic: A Comparative Observational and Statistical Investigation

Dianjun Zhang, Wenlong Liu, Xinlin Li, Theodoros E. Sarris et autres

Abstract Relativistic electron dynamics in Earth's radiation belts are significantly influenced by interplanetary shocks (IPSs) associated with coronal mass ejections. We show that the propagation speed of an IPS controls the motion of the induced impulsive electric field. This field then drives …

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Enhancing ≥2 MeV Electron Fluence Predictions in GEO Orbit Through Three Deep Learning Strategies

Xiaojing Sun, Ruilin Lin, Siqing Liu, Bingxian Luo et autres

Abstract Forecasting the dynamic variations of high‐energy electrons in geostationary orbit remains a frontier challenge in space physics and is critical for the protection of geostationary satellites. In this study, we develop Transformer‐based models to predict 2 MeV electron daily fluences and …

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Ratiometric Fluorescent Carbon Dots for Detection and Degradation of Partially Hydrolyzed Polyacrylamide

Shi Weiguang, Xiaojing Sun, SHAO Danyang, Changsheng Li et autres

Establishment and evaluation of rapid detection of AZFc deletion on Y chromosome based on multienzyme isothermal rapid amplification

Yan Zhang, Fang Shao, Feng Suo, Yi Wang et autres

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A modeling study of ≥2 MeV electron fluxes in GEO at different prediction time scales based on LSTM and transformer networks

Xiaojing Sun, Dedong Wang, Alexander Yurievich Drozdov, Ruilin Lin et autres

In this study, we develop models to predict the log10 of ≥2 MeV electron fluxes with 5-minute resolution at the geostationary orbit using the Long Short-Term Memory (LSTM) and transformer neural networks for the next 1-hour, 3-hour, 6-hour, 12-hour, and 1-day predictions. …

Prediction Models of ≥2 MeV Electron Daily Fluences for 3 Days at GEO Orbit Using a Long Short-Term Memory Network

Xiaojing Sun, Ruilin Lin, Siqing Liu, Bingxian Luo et autres

Geostationary satellites are exposed to harsh space weather conditions, including ≥2 MeV electrons from the Earth’s radiation belts. To predict ≥2 MeV electron daily fluences at 75°W and 135°W at geostationary orbit for the following three days, long short-term memory (LSTM) network …

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Knowledge‐Informed Deep Neural Networks for Solar Flare Forecasting

Ming Li, Yanmei Cui, Bingxian Luo, Xianzhi Ao et autres

Abstract Recently, although various deep learning techniques have been applied to building space weather prediction models, a large amount of relevant prior knowledge of solar eruptions and magnetic properties is ignored during the model development. By integrating prior knowledge in flare production …

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The Interaction between the LEO Satellite Constellation and the Space Debris Environment

Shuyi Ren, Xiaohua Yang, Ronglan Wang, Siqing Liu et autres

The wide application of satellite constellations in the field of space-based global communications and remote sensing has led to a substantial increase in small-satellite launch plans, a sharp increase in the density of space objects in low-Earth orbit (LEO), and a reduction …

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Modeling the Relationship of ≥2 MeV Electron Fluxes at Different Longitudes in Geostationary Orbit by the Machine Learning Method

Xiaojing Sun, Ruilin Lin, Siqing Liu, Xinran He et autres

The energetic electrons in the Earth’s radiation belt, known as “killer electrons”, are one of the crucial factors for the safety of geostationary satellites. Geostationary satellites at different longitudes encounter different energetic electron environments. However, organizations of space weather prediction usually only …

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Biochar Derived from Treated Lotus Stem and Adsorption of Phthalic Acid Esters

Ruiling Zhang, Linlin Chen, Qiu Binbin, Xiaojing Sun et autres

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Equilibrium, kinetic and thermodynamic studies on the adsorption of atrazine in soils of the water fluctuation zone in the Three-Gorges Reservoir

Haiyan Yu, Yongfeng Liu, Xingquan Shu, Xiaojing Sun et autres

Abstract Background Environmental behavior of pesticide in soils is a key current research focus. Studying the adsorption characteristics of pesticides in soils as a parameter for evaluating the risk of groundwater pollution by pesticides is commonly applied in agriculture. Results To provide …

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