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Local Evapotranspiration and Atlantic Decadal Variability Dominate the Humidification of Northwest China 认领 引用
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作者 Haipeng YU Yongqi GONG +6 位作者 Jianping HUANG Qiang ZHANG Yu REN Hongyu LUO Xin WANG Shanling CHENG Jie ZHOU 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2026年第6期1144-1159,共16页
Over recent decades,Northwest China(NWC)has experienced significant precipitation enhancements under global warming.However,the moisture sources and mechanisms of the increased precipitation remain controversial,a cri... Over recent decades,Northwest China(NWC)has experienced significant precipitation enhancements under global warming.However,the moisture sources and mechanisms of the increased precipitation remain controversial,a critical issue for projecting the persistence of the humidification trend.Previous studies have generally attributed the increased precipitation to enhanced external moisture transport.Using the dynamic precipitation recycling model(DRM)combined with dynamic circulation diagnostic methods,this study systematically examined the physical mechanisms of summer precipitation changes in NWC during 1961–2020.The results reveal a precipitation trend shift that occurred around 1997,followed by a significant,9.18%increase in precipitation after 1997.Although external moisture transport remains the dominant source of climatological precipitation,the decadal increase has been governed by local evapotranspiration,whose growth outpaced net external inflow changes.This change was primarily modulated by zonal planetary waves driven by the Atlantic Multidecadal Oscillation(AMO),placing NWC under anomalous ascent and moisture convergence.During1998–2020,the AMO-induced circulation simultaneously reduced eastward moisture export from NWC and favored local recycling by enhancing evapotranspiration(+9.12%)and recycled precipitation(+10.51%).Temperature-induced cryospheric melt and vegetation recovery amplified the local evapotranspiration,allowing the recycled moisture component to become the primary contributor to the precipitation increase(78%),surpassing the contribution from advected moisture(22%).Despite recent wetting,water budget constraints acting in conjunction with a likely AMO phase transition imply that the humidification may not persist in the future. 展开更多
关键词 Northwest China drylands water vapor source moisture transport humidification interdecadal variability
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Global health risk attributable to PM2.5 pollution in relation to wealth inequality 认领 引用
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作者 Lulu Lian Jianping Huang +5 位作者 Siyu Chen Jianmin Ma Xinbo Lian Lihui Zhang Shikang Du Dan Zhao 《Journal of Environmental Sciences》 SCIE EI CAS CSCD 2026年第1期471-479,共9页
Ambient fine particulate matter(PM2.5)pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global we... Ambient fine particulate matter(PM2.5)pollution causes the largest environmental health risk globally,yet ex-posure levels and the resulting health risks vary across countries with different income levels.Global wealth inequality has intensified in recent years,yet the relationship between wealth inequality and health risks related to PM2.5 pollution remains poorly understood.In this study,we evaluated the global mortality and health cost at-tributable to PM2.5 exposure from 2017 to 2021,and analyzed the relationship between wealth inequality,PM2.5 pollution,and the associated health risks across regions with varying economic levels.We found a consistent decline in mortalities and health costs attributable to PM2.5 exposure from 2017 to 2020,followed by a rebound after 2020,driven primarily by the resurgence of PM2.5 concentrations and a deceleration in the reduction of baseline mortality rates.We also found that the average PM2.5 concentration and associated risks decrease as domestic wealth inequality decreases and national income level increases.However,regions with extremely high levels of wealth inequality consistently show lower national average PM2.5 concentrations and health risks.These findings highlight the need to consider healthcare security during emergencies,as well as policy fairness across economic regions,in the formulation of global PM2.5 pollution control measures to promote sustainable,more equitable economic growth and coordinated air pollution management. 展开更多
关键词 PM2.5pollution Mortality Health cost Wealth inequality
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CNPY2 Regulates Macrophage Polarization and Inflammatory Immune Responses via the TLR4/NF-κB Signaling Pathway to Alleviate Osteomyelitis of the Jaw 认领 引用
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作者 Rihui Wang Wanlu Li +5 位作者 Canyang Jiang Jianping Huang Kangwei Zhou Yan Jiang Junyang Zhang Li Huang 《BIOCELL》 SCIE 2026年第5期197-215,共19页
Background:Osteomyelitis of the jaw(OMJ)is a severe infectious bone disease.While Canopy FGF signaling regulator 2(CNPY2)is known to regulate inflammatory diseases,its role in OMJ remains unclear.The study aimed to in... Background:Osteomyelitis of the jaw(OMJ)is a severe infectious bone disease.While Canopy FGF signaling regulator 2(CNPY2)is known to regulate inflammatory diseases,its role in OMJ remains unclear.The study aimed to investigate the role of CNPY2 in the mandibular joint and its molecular mechanisms.Methods:An in vitro OMJ model was generated by stimulating RAW264.7 macrophages with S.aureus.CNPY2knockdown and overexpression models were established using siRNA and plasmids.Functional assays assessed cell proliferation,migration,and invasion.Macrophage polarization,cytokine secretion,and osteoclast differentiation were analyzed.The CNPY2-Toll-Like Receptor 4(TLR4)/Nuclear factor-kappa B(NF-kB)interaction was confirmed by Co-Immunoprecipitation(co-IP)and Western blot.In vivo,an OMJ mouse model was induced by S.aureus jaw injection and treated with si-CNPY2 lentivirus.Therapeutic effects were evaluated through histology and protein analysis.Results:S.aureus stimulation upregulated CNPY2 expression in RAW264.7 cells.Knockdown of CNPY2inhibited S.aureus-induced cell proliferation,migration,and invasion,promoted macrophage polarization toward the M2 phenotype,suppressed M1 polarization,and reduced the release of pro-inflammatory cytokines.Additionally CNPY2 knockdown inhibited S.aureus-induced osteoclast differentiation(decreased expression of markers such as Nuclear factor of activated T-cells cytoplasmic 1[NFATc1]and Cathepsin K[CTSK]).Mechanistically,CNPY2 directly interacts with TLR4,and its knockdown suppresses activation of the TLR4/NF-kB axis.In the OMJ mouse model,CNPY2knockdown significantly reduced inflammatory infiltration in the jaw,inhibited macrophage M1 polarization,and decreased osteoclastogenesis.Conclusion:CNPY2 exacerbates OMJ by enhancing macrophage M1 polarization,inflammation,and osteoclastogenesis via the TLR4/NF-kB axis.Targeting CNPY2 may offer a therapeutic strategy for S.aureus-induced OMJ. 展开更多
关键词 Canopy FGF signaling regulator 2(CNPY2) osteomyelitis of the jaw(OMJ) toll-like receptor 4(TLR4) nuclear factor-kappa B(NF-kB) Staphylococcus aureus macrophage
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The representative scientific results of the China Seismo-Electromagnetic Satellite 认领 引用 被引量：3
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作者 Zhima Zeren Yanyan Yang +7 位作者 Rui Yan Zhenxia Zhang Jie Wang He Huang Song Xu Hengxin Lu Na Zhou Jianping Huang 《Earthquake Research Advances》 CSCD 2025年第1期1-9,共9页
The China Seismo-Electromagnetic Satellite(CSES-01)launched on February 2,2018,has been steadily operating in orbit for more than six years,exceeding its designed five-year lifespan expectation.The evaluation results ... The China Seismo-Electromagnetic Satellite(CSES-01)launched on February 2,2018,has been steadily operating in orbit for more than six years,exceeding its designed five-year lifespan expectation.The evaluation results suggest that the satellite platform and the majority of payloads are performing well,and still providing reliable measurements.This report briefly introduces the representative scientific results obtained from CSES-01's fiveyear observations.The first result is the long-term global geophysical field data accumulated for the first time,including the global geomagnetic field,the electromagnetic field and waves in a broad frequency band,the in-situ and profile ionospheric plasma parameters,and the energetic particles.The second result is that a series of data processing and validation methods were obtained,and some of the methods are unique worldwide.The third result is that the geomagnetic field,lithospheric magnetic field,and ionospheric electron density 3D models were built based on CSES-01's data.The fourth result is that statistical features of seismic-ionospheric disturbances were revealed and the direct observational evidence for the electromagnetic wave propagation models in the lithosphere-atmosphere-ionosphere was also confirmed.The fifth result is the physical processing of the space weather events was clearly described,showing CSES-01's good capability of monitoring space weather conditions. 展开更多
关键词 China Seismo-Electromagnetic Satellite The geophysical field models The seismo-ionospheric disturbances Space weather event
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Evaluation of influence of detrending CSES satellite data on lithospheric magnetic field modeling 认领 引用 被引量：2
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作者 Jie Wang YanYan Yang +2 位作者 ZhiMa Zeren JianPing Huang HengXin Lu 《Earth and Planetary Physics》 EI CSCD 2025年第2期346-356,共11页
The China Seismo-Electromagnetic Satellite(CSES) was successfully launched in February 2018. The high precision magnetometer(HPM) on board the CSES has captured high-quality magnetic data that have been used to derive... The China Seismo-Electromagnetic Satellite(CSES) was successfully launched in February 2018. The high precision magnetometer(HPM) on board the CSES has captured high-quality magnetic data that have been used to derive a global lithospheric magnetic field model. While preparing the datasets for this lithospheric magnetic field model, researchers found that they still contained prominent residual trends within the magnetic anomaly even once signals from other sources had been eliminated. However, no processing was undertaken to deal with the residual trends during modeling to avoid subjective processing and represent the realistic nature of the data. In this work, we analyze the influence of these residual trends on the lithospheric magnetic field modeling.Polynomials of orders 0–3 were used to fit the trend of each track and remove it for detrending. We then derived four models through detrending-based processing, and compared their power spectra and grid maps with those of the CSES original model and CHAOS-7model. The misfit between the model and the dataset decreased after detrending the data, and the convergence of the inverted spherical harmonic coefficients improved. However, detrending reduced the signal strength and the power spectrum, while detrending based on high-order polynomials introduced prominent distortions in details of the magnetic anomaly. Based on this analysis, we recommend along-track detrending by using a zero-order polynomial(removing a constant value) on the CSES magnetic anomaly data to drag its mean value to zero. This would lead to only a slight reduction in the signal strength while significantly improving the stability of the inverted coefficients and details of the anomaly. 展开更多
关键词 lithospheric magnetic field model satellite magnetic survey detrending long-wavelength magnetic anomaly CSES
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Real-time instance segmentation of tree trunks from under-canopy images in complex forest environments 认领 引用 被引量：2
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作者 Chong Mo Wenlong Song +3 位作者 Weigang Li Guanglai Wang Yongkang Li Jianping Huang 《Journal of Forestry Research》 SCIE EI CAS CSCD 2025年第3期139-151,共13页
Tree trunk instance segmentation is crucial for under-canopy unmanned aerial vehicles(UAVs)to autonomously extract standing tree stem attributes.Using cameras as sensors makes these UAVs compact and lightweight,facili... Tree trunk instance segmentation is crucial for under-canopy unmanned aerial vehicles(UAVs)to autonomously extract standing tree stem attributes.Using cameras as sensors makes these UAVs compact and lightweight,facilitating safe and flexible navigation in dense forests.However,their limited onboard computational power makes real-time,image-based tree trunk segmentation challenging,emphasizing the urgent need for lightweight and efficient segmentation models.In this study,we present RT-Trunk,a model specifically designed for real-time tree trunk instance segmentation in complex forest environments.To ensure real-time performance,we selected SparseInst as the base framework.We incorporated ConvNeXt-T as the backbone to enhance feature extraction for tree trunks,thereby improving segmentation accuracy.We further integrate the lightweight convolutional block attention module(CBAM),enabling the model to focus on tree trunk features while suppressing irrelevant information,which leads to additional gains in segmentation accuracy.To enable RT-Trunk to operate effectively under diverse complex forest environments,we constructed a comprehensive dataset for training and testing by combining self-collected data with multiple public datasets covering different locations,seasons,weather conditions,tree species,and levels of forest clutter.Com-pared with the other tree trunk segmentation methods,the RT-Trunk method achieved an average precision of 91.4%and the fastest inference speed of 32.9 frames per second.Overall,the proposed RT-Trunk provides superior trunk segmentation performance that balances speed and accu-racy,making it a promising solution for supporting under-canopy UAVs in the autonomous extraction of standing tree stem attributes.The code for this work is available at http://gffzz188fe103f8f1460asuq0n09ocko5b6fkv.ffgz.tsg.suse.edu.cn/NEFU CVRG/RT Trunk. 展开更多
关键词 Tree trunk detection Real-time instance segmentation SparseInst Under-canopy UAVs
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Evaluation of the satellite's wake effect on the electric field detector onboard the CSES-01 satellite 认领 引用 被引量：1
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作者 JianPing Huang ZongYu Li +4 位作者 Zhong Li XingHong Zhu JunGang Lei YuanQing Miao WenJing Li 《Earth and Planetary Physics》 EI CSCD 2025年第2期400-409,共10页
This study aimed to evaluate the wake effect on the electric field detector(EFD) onboard the China Seismo-Electromagnetic Satellite(CSES-01). Through a series of experiments and analyses, we confirmed that the disturb... This study aimed to evaluate the wake effect on the electric field detector(EFD) onboard the China Seismo-Electromagnetic Satellite(CSES-01). Through a series of experiments and analyses, we confirmed that the disturbance phenomenon from probe B of the EFD is not caused by the boom layout. To validate and determine whether it is influenced by the wake effect, we conducted two experiments. In the first experiment, the entire satellite platform underwent a 90° counterclockwise yaw maneuver to allow probe B to avoid the plasma wake region. We then verified whether the disturbance was improved. In the second experiment, the satellite platform performed a 180° counterclockwise yaw maneuver, positioning probe B on the ram side of the satellite and completely avoiding all satellite wakes. The plasma wake effect of the satellite did not significantly influence the spherical probes of the EFD because the measurement accuracy stayed relatively stable under the two experiments, despite the observed abnormalities in the operating state of spherical probe B. This consistency in performance is important for electric field detection missions because the spatial electric field vector data obtained from these probes continue to effectively reflect information on spatial electromagnetic disturbances. These two experimental results showed that probe B consistently exhibited data jump phenomena under various maneuver states, whereas probes A, C, and D did not display such phenomena in any maneuver state. 展开更多
关键词 CSES-01 payload electric field detector satellite attitude data quality
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Exacerbated global surface water stress under climate change 认领 引用
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作者 Ming Peng Haipeng Yu +2 位作者 Jianping Huang Yu Ren Li Fu 《Geography and Sustainability》 CSCD 2025年第6期192-201,共10页
Water stress is expected to intensify due to escalating atmospheric and surface dryness under global warming.Despite extensive research indicate that intensified dryness exacerbates water constraints on ecosystems,the... Water stress is expected to intensify due to escalating atmospheric and surface dryness under global warming.Despite extensive research indicate that intensified dryness exacerbates water constraints on ecosystems,the dynamics and underlying mechanisms of surface water stress(SWS)under climate change remain poorly understood.In this study,we use annual evaporative stress as the surface water stress index(WSI)and provide a comprehensive analysis of historical and projected global terrestrial SWS,covering its characteristic changes,driving factors,and impacts on vegetation.Our results show a significant declining trend in WSI during 1982–2014(-0.0033/decade,p<0.01),indicating the enhancement of SWS concurrent with a rapid expansion of water stress intensified areas at a rate of 1.85%/decade(p<0.01).Using the Budyko-Penman budget framework,we found that the intensification of SWS was primarily driven by an increase in vapor pressure deficit(VPD)and a decrease in precipitation.Furthermore,the intensification of SWS contributed to a decline in vegetation growth,with the extent of areas experiencing increased vegetation water deficit expanding rapidly at a rate of 1.38%per decade(p<0.01).In the future,SWS is projected to escalate,with the proportion of areas experiencing intensified SWS increasing from 6.3%to 24.3%by the end of the century under the SSP5–8.5.Our study provides a comprehensive analysis of the drivers of SWS under climate change and its impacts on ecosystems,offering valuable scientific insights for the effective management of water resources. 展开更多
关键词 Surface water stress Vapor pressure deficit Vegetation growth
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Progress in Semi-arid Climate Change Studies in China 认领 引用 被引量：36
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作者 Jianping HUANG Jieru MA +2 位作者 Xiaodan GUAN Yue LI Yongli HE 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2019年第9期922-937,共16页
This article reviews recent progress in semi-arid climate change research in China.Results indicate that the areas of semiarid regions have increased rapidly during recent years in China,with an increase of 33%during ... This article reviews recent progress in semi-arid climate change research in China.Results indicate that the areas of semiarid regions have increased rapidly during recent years in China,with an increase of 33%during 1994-2008 compared to 1948-62.Studies have found that the expansion rate of semi-arid areas over China is nearly 10 times higher than that of arid and sub-humid areas,and is mainly transformed from sub-humid/humid regions.Meanwhile,the greatest warming during the past 100 years has been observed over semi-arid regions in China,and mainly induced by radiatively forced processes.The intensity of the regional temperature response over semi-arid regions has been amplified by land-atmosphere interactions and human activities.The decadal climate variation in semi-arid regions is modulated by oceanic oscillations,which induce land-sea and north-south thermal contrasts and affect the intensities of westerlies,planetary waves and blocking frequencies.In addition,the drier climates in semi-arid regions across China are also associated with the weakened East Asian summer monsoon in recent years.Moreover,dust aerosols in semi-arid regions may have altered precipitation by affecting the local energy and hydrological cycles.Finally,semi-arid regions in China are projected to continuously expand in the 21st century,which will increase the risk of desertification in the near future. 展开更多
关键词 semi-arid regions drying expansion warming dynamics
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Mongolia Contributed More than 42%of the Dust Concentrations in Northern China in March and April 2023 认领 引用 被引量：32
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作者 Siyu CHEN Dan ZHAO +8 位作者 Jianping HUANG Jiaqi HE Yu CHEN Junyan CHEN Hongru BI Gaotong LOU Shikang DU Yue ZHANG Fan YANG 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2023年第9期1549-1557,共9页
Dust storms are one of the most frequent meteorological disasters in China,endangering agricultural production,transportation,air quality,and the safety of people’s lives and property.Against the backdrop of climate ... Dust storms are one of the most frequent meteorological disasters in China,endangering agricultural production,transportation,air quality,and the safety of people’s lives and property.Against the backdrop of climate change,Mongolia’s contribution to China’s dust cannot be ignored in recent years.In this study,we used the Weather Research and Forecasting model coupled with Chemistry(WRF-Chem),along with dynamic dust sources and the HYSPLIT model,to analyze the contributions of different dust sources to dust concentrations in northern China in March and April 2023.The results show that the frequency of dust storms in 2023 was the highest observed in the past decade.Mongolia and the Taklimakan Desert were identified as two main dust sources contributing to northern China.Specifically,Mongolia contributed more than 42%of dust,while the Taklimakan Desert accounted for 26%.A cold high-pressure center,a cold front,and a Mongolian cyclone resulted in the transport of dust aerosols from Mongolia and the Taklimakan Desert to northern China,where they affected most parts of the region.Moreover,two machine learning methods[the XGBoost algorithm and the Synthetic Minority Oversampling Technique(SMOTE)]were used to forecast the dust storms in March 2023,based on ground observations and WRF-Chem simulations over East Asia.XGBoost-SMOTE performed well in predicting hourly PM10 concentrations in China in March 2023,with a mean absolute error of 33.8μg m−3 and RMSE of 54.2μg m−3. 展开更多
关键词 dust aerosol Mongolian dust transboundary contribution WRF-Chem HYSPLIT model
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Towards an Artificial Intelligence Framework for Data-Driven Prediction of Coronavirus Clinical Severity 认领 引用 被引量：31
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作者 Xiangao Jiang Megan Coffee +10 位作者 Anasse Bari Junzhang Wang Xinyue Jiang Jianping Huang Jichan Shi Jianyi Dai Jing Cai Tianxiao Zhang Zhengxing Wu Guiqing He Yitong Huang 《Computers, Materials & Continua》 SCIE EI 2020年第4期537-551,共15页
The virus SARS-CoV2,which causes the Coronavirus disease COVID-19 has become a pandemic and has spread to every inhabited continent.Given the increasing caseload,there is an urgent need to augment clinical skills in o... The virus SARS-CoV2,which causes the Coronavirus disease COVID-19 has become a pandemic and has spread to every inhabited continent.Given the increasing caseload,there is an urgent need to augment clinical skills in order to identify from among the many mild cases the few that will progress to critical illness.We present a first step towards building an artificial intelligence(AI)framework,with predictive analytics(PA)capabilities applied to real patient data,to provide rapid clinical decision-making support.COVID-19 has presented a pressing need as a)clinicians are still developing clinical acumen given the disease’s novelty,and b)resource limitations in a rapidly expanding pandemic require difficult decisions relating to resource allocation.The objectives of this research are:(1)to algorithmically identify the combinations of clinical characteristics of COVID-19 that predict outcomes,and(2)to develop a tool with AI capabilities that will predict patients at risk for more severe illness on initial presentation.The predictive models learn from historical data to help predict specifically who will develop acute respiratory distress syndrome(ARDS),a severe outcome in COVID-19.Our experimental results based on two hospitals in Wenzhou,Zhejang,China identify features most predictive of ARDS in COVID-19 initial presentation which would not have stood out to clinicians.A mild increase in elevated alanine aminotransferase(ALT)(a liver enzyme)),a presence of myalgias(body aches),and an increase in hemoglobin,in this order,are the clinical features,on presentation,that are the most predictive.Those two centers’COVID-19 case series symptoms on initial presentation can help predict severe outcomes.Predictive models that learned from historical data of patients from two Chinese hospitals achieved 70%to 80%accuracy in predicting severe cases. 展开更多
关键词 SARS-CoV2 COVID-19 coronavirus infectious diseases artificial intelligence predictive analytics
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The Electric Field Detector (EFD) onboard the ZH-1 satellite and firstobservational results 认领 引用 被引量：28
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作者 JianPing Huang JunGang Lei +4 位作者 ShiXun Li ZhiMa Zeren Cheng Li XingHong Zhu WeiHao Yu 《Earth and Planetary Physics》 CAS 2018年第6期469-478,共10页
Previous studies have reported that, before or after occurrences of strong earthquakes, some low earth orbit satellites recorded ionospheric disturbances, including electromagnetic emissions and plasma fluctuations ov... Previous studies have reported that, before or after occurrences of strong earthquakes, some low earth orbit satellites recorded ionospheric disturbances, including electromagnetic emissions and plasma fluctuations over the epicenter region or its conjugate point.Theoretically speaking, due to some electromagnetic coupling effect, electromagnetic emissions from the earthquake preparation zone could propagate from the lithosphere to the atmosphere, and could reach the ionosphere, even up to the inner magnetosphere. This paper introduces the electric field detector(EFD) onboard the ZhangHeng-1 satellite(ZH-1). The EFD is designed to measure electric field fluctuations within the broad frequency range of DC to 3.5 MHz, divided into 4 channels: ULF(DC–16 Hz), ELF(6 Hz–2.2 kHz), VLF(1.8 kHz–20 kHz) and HF(18 kHz–3.5 MHz). The sampling rates of the channels are 125 Hz, 5 kHz, 50 kHz and 10 MHz, respectively. The EFD includes4 spherical probes mounted on a over 4.5 m boom and an electronic box inside the satellite module. The resolution of the EFD is 1μV·m-1·Hz-1/2 at frequencies from DC to 16 Hz, and the sensitivity is 0.1 μV·m-1·Hz-1/2 at frequencies from 6 Hz to 2.2 kHz, 0.05 μV·m-1·Hz-1/2 in the band 1.8 kHz to 20 kHz, and 0.1μV·m-1·Hz-1/2 from 20 kHz to 3.5 MHz. The dynamic range from DC to 20 kHz is over 120 dB, and over96 dB from 20 kHz to 3.5 MHz. The EFD has two observation modes: survey mode and burst mode. The survey mode concentrates primarily on electric field power density values; the burst mode provides high sampling rate waveform data. The detailed configuration of the EFD onboard the ZH-1 is also introduced in this paper. During the six months' orbit test phase, the EFD recorded a number of natural electromagnetic emissions. Preliminary analysis of these data suggests that the EFD performs well onboard the ZH-1 and is meeting the requirements of the scientific objectives of ZH-1. 展开更多
关键词 EFD payload ZhangHeng-1 sensitivity
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Application system and data description of the China Seismo-Electromagnetic Satellite 认领 引用 被引量：17
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作者 JianPing Huang XuHui Shen +8 位作者 XueMin Zhang HengXin Lu Qiao Tan Qiao Wang Rui Yan Wei Chu YanYan Yang DaPeng Liu Song Xu 《Earth and Planetary Physics》 CAS 2018年第6期444-454,共11页
The China Seismo-Electromagnetic Satellite, launched into orbit from Jiuquan Satellite Launch Centre on February 2 nd, 2018, is China's first space satellite dedicated to geophysical exporation. The satellite carr... The China Seismo-Electromagnetic Satellite, launched into orbit from Jiuquan Satellite Launch Centre on February 2 nd, 2018, is China's first space satellite dedicated to geophysical exporation. The satellite carries eight scientific payloads including high-precision magnetometers to detect electromagnetic changes in space, in particular changes associated with global earthquake disasters. In order to encourage and facilitate use by geophysical scientists of data from the satellite's payloads, this paper introduces the application systems developed for the China Seismo-Electromagnetic Satellite by the Institute of Crustal Dynamics, China Earthquake Administration;these include platform construction, data classification, data storage, data format, and data access and acquisition. 展开更多
关键词 China Seismo-Electromagnetic Satellite application system geophysical field data classification
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Comparison of PM2.5 and CO2 Concentrations in Large Cities of China during the COVID-19 Lockdown 认领 引用 被引量：7
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作者 Chuwei LIU Zhongwei HUANG +6 位作者 Jianping HUANG Chunsheng LIANG Lei DING Xinbo LIAN Xiaoyue LIU Li Zhang Danfeng WANG 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2022年第6期861-875,共15页
Estimating the impacts on PM2.5pollution and CO2emissions by human activities in different urban regions is important for developing efficient policies.In early 2020,China implemented a lockdown policy to contai... Estimating the impacts on PM2.5pollution and CO2emissions by human activities in different urban regions is important for developing efficient policies.In early 2020,China implemented a lockdown policy to contain the spread of COVID-19,resulting in a significant reduction of human activities.This event presents a convenient opportunity to study the impact of human activities in the transportation and industrial sectors on air pollution.Here,we investigate the variations in air quality attributed to the COVID-19 lockdown policy in the megacities of China by combining in-situ environmental and meteorological datasets,the Suomi-NPP/VIIRS and the CO2emissions from the Carbon Monitor project.Our study shows that PM2.5concentrations in the spring of 2020 decreased by 41.87%in the Yangtze River Delta(YRD)and 43.30%in the Pearl River Delta(PRD),respectively,owing to the significant shutdown of traffic and manufacturing industries.However,PM2.5concentrations in the Beijing-Tianjin-Hebei(BTH)region only decreased by 2.01%because the energy and steel industries were not fully paused.In addition,unfavorable weather conditions contributed to further increases in the PM2.5concentration.Furthermore,CO2concentrations were not significantly affected in China during the short-term emission reduction,despite a 19.52%reduction in CO2emissions compared to the same period in 2019.Our results suggest that concerted efforts from different emission sectors and effective long-term emission reduction strategies are necessary to control air pollution and CO2emissions. 展开更多
关键词 PM2.5 CO2emissions lockdown measures traffic emission industrial activity
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Examples of unusual ionospheric observations by the CSES prior to earthquakes 认领 引用 被引量：17
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作者 Rui Yan XuHui Shen +6 位作者 JianPing Huang Qiao Wang Wei Chu DaPeng Liu YanYan Yang HengXin Lu Song Xu 《Earth and Planetary Physics》 CAS 2018年第6期515-526,共12页
The CSES(China seismic electromagnetic satellite) was launched on February 2, 2018 in a circular polar orbit at an altitude of～507 km. One of the main objectives of CSES is to search for and characterize ionospheric ... The CSES(China seismic electromagnetic satellite) was launched on February 2, 2018 in a circular polar orbit at an altitude of～507 km. One of the main objectives of CSES is to search for and characterize ionospheric perturbations that can be associated with seismic activities, to better understand the generation mechanism of such perturbations. Its scientific payload can measure a broad frequency range of electromagnetic waves and some important plasma parameters. This paper is a first-hand study of unusual observations recorded by the CSES over seismic regions prior to four earthquakes with M >7.0 since the satellite's launch. CSES detectors measured irregularities near the epicenter of these four earthquakes. It is already clear that data from instruments onboard the CSES will be of significant help in studies of characteristics of ionospheric perturbations related to earthquakes and their generation mechanisms. 展开更多
关键词 CSES ionospheric perturbations earthquake
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Preliminary results of the High Energetic Particle Package on-board the China Seismo-Electromagnetic Satellite 认领 引用 被引量：8
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作者 Wei Chu JianPing Huang +5 位作者 XuHui Shen Ping Wang XinQiao Li ZhengHua An YanBing Xu XiaoHua Liang 《Earth and Planetary Physics》 CAS 2018年第6期489-498,共10页
The high energetic particle package(HEPP) on-board the China Seismo-Electromagnetic Satellite(CSES) was launched on February 2, 2018. This package includes three independent detectors: HEPP-H, HEPP-L, and HEPP-X. HEPP... The high energetic particle package(HEPP) on-board the China Seismo-Electromagnetic Satellite(CSES) was launched on February 2, 2018. This package includes three independent detectors: HEPP-H, HEPP-L, and HEPP-X. HEPP-H and HEPP-L can detect energetic electrons from 100 keV to approximately 50 MeV and protons from 2 MeV to approximately 200 MeV. HEPP-X can measure solar X-rays in the energy range from 1 keV to approximately 20 keV. The objective of the HEPP payload was to provide a survey of energetic particles with high energy, pitch angle, and time resolutions in order to gain new insight into the space radiation environments of the near-Earth system. Particularly, the HEPP can provide new measurements of the magnetic storm related precipitation of electrons in the slot region, and the dynamics of radiation belts. In this paper, the HEPP scientific data sets are described and initial results are provided.The scientific data can show variations in the flux of energetic particles during magnetic storms. 展开更多
关键词 CSES energetic particles HEPP data sets data quality preliminary results
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Atmospheric Warming Slowdown during 1998-2013 Associated with Increasing Ocean Heat Content 认领 引用 被引量：5
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作者 Changyu LI Jianping HUANG +2 位作者 Yongli HE Dongdong LI Lei DING 《Advances in Atmospheric Sciences》 SCIE CAS CSCD 2019年第11期1188-1202,I0006,I0007,I0008,I0009,I0010,I0011,共15页
Although atmospheric greenhouse gas concentrations continuously increased, there was relatively little change in global-averaged surface temperatures from 1998 to 2013, which is known as atmospheric warming slowdown. ... Although atmospheric greenhouse gas concentrations continuously increased, there was relatively little change in global-averaged surface temperatures from 1998 to 2013, which is known as atmospheric warming slowdown. For further understanding the mechanism involved, we explored the energy redistribution between the atmosphere and ocean in different latitudes and depths by using data analysis as well as simulations of a coupled atmosphere–ocean box model. The results revealed that, compared with observational changes of ocean heat content (OHC) associated with rapid warming, the OHC changes related to warming slowdown are relatively larger in multiple ocean basins, particularly in the deeper layer of the Atlantic. The coupled box model also showed that there is a larger increasing trend of OHC under the warming slowdown scenario than the rapid warming scenario. Particularly, during the warming slowdown period, the heat storage in the deeper ocean increases faster than the ocean heat uptake in the surface ocean. The simulations indicated that the warming patterns under the two scenarios are accompanied by distinct outgoing longwave radiation and atmospheric meridional heat transport, as well as other related processes, thus leading to different characteristics of ocean heat uptake. Due to the global energy balance, we suggest this slowdown has a tight relationship with the accelerated heat transport into the global ocean. 展开更多
关键词 warming slowdown ocean heat content box model heat transport
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The Langmuir Probe onboard CSES: data inversion analysis method and first results 认领 引用 被引量：10
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作者 Rui Yan YiBing Guan +4 位作者 XuHui Shen JianPing Huang XueMin Zhang Chao Liu DaPeng Liu 《Earth and Planetary Physics》 CAS 2018年第6期479-488,共10页
The Langmuir Probe(LAP), onboard the China Seismo-Electromagnetic Satellite(CSES), has been designed for in situ measurements of bulk parameters of the ionosphere plasma, the first Chinese application of in-situ measu... The Langmuir Probe(LAP), onboard the China Seismo-Electromagnetic Satellite(CSES), has been designed for in situ measurements of bulk parameters of the ionosphere plasma, the first Chinese application of in-situ measurement technology in the field of space exploration. The two main parameters measured by LAP are electron density and temperature. In this paper, a brief description of the LAP and its work mode are provided. Based on characteristics of the LAP, and assuming an ideal plasma environment, we introduce in detail a method used to invert the I-V curve; the data products that can be accessed by users are shown. Based on the LAP data available, this paper reports that events such as earthquakes and magnetic storms are preceded and followed by obvious abnormal changes. We suggest that LAP could provide a valuable data set for studies of space weather, seismic events, and the ionospheric environment. 展开更多
关键词 Langmuir Probe(LAP) Current-Voltage(I-V) curve electron density(Ne) electron temperature(Te)
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Plane-Wave Least-Squares Reverse Time Migration for Rugged Topography 认领 引用 被引量：10
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作者 Jianping Huang Chuang Li +1 位作者 Rongrong Wang Qingyang Li 《Journal of Earth Science》 SCIE CAS CSCD 2015年第4期471-480,共10页
We present a method based on least-squares reverse time migration with plane-wave encoding （P-LSRTM） for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding fun... We present a method based on least-squares reverse time migration with plane-wave encoding （P-LSRTM） for rugged topography. Instead of modifying the wave field before migration, we modify the plane-wave encoding function and fill constant velocity to the area above rugged topography in the model so that P-LSRTM can be directly performed from rugged surface in the way same to shot domain reverse time migration. In order to improve efficiency and reduce I/O （input/output） cost, the dynamic en- coding strategy and hybrid encoding strategy are implemented. Numerical test on SEG rugged topography model show that P-LSRTM can suppress migration artifacts in the migration image, and compensate am- plitude in the middle-deep part efficiently. Without data correction, P-LSRTM can produce a satisfying image of near-surface if we could get an accurate near-surface velocity model. Moreover, the pre-stack P- LSRTM is more robust than conventional RTM in the presence of migration velocity errors. 展开更多
关键词 least-squares migration rugged topography plane-wave encoding dynamic encoding hybrid encoding.
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China Seismo-Electromagnetic Satellite search coil magnetometerdata and initial results 认领 引用 被引量：13
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作者 Qiao Wang JianPing Huang +4 位作者 XueMin Zhang XuHui Shen ShiGeng Yuan Li Zeng JinBin Cao 《Earth and Planetary Physics》 CAS 2018年第6期462-468,共7页
Four levels of the data from the search coil magnetometer(SCM) onboard the China Seismo-Electromagnetic Satellite(CSES)are defined and described. The data in different levels all contain three components of the wavefo... Four levels of the data from the search coil magnetometer(SCM) onboard the China Seismo-Electromagnetic Satellite(CSES)are defined and described. The data in different levels all contain three components of the waveform and/or spectrum of the induced magnetic field around the orbit in the frequency range of 10 Hz to 20 kHz; these are divided into an ultra-low-frequency band(ULF,10–200 Hz), an extremely low frequency band(ELF, 200–2200 Hz), and a very low frequency band(VLF, 1.8–20 kHz). Examples of data products for Level-2, Level-3, and Level-4 are presented. The initial results obtained in the commission test phase demonstrated that the SCM was in a normal operational status and that the data are of high enough quality to reliably capture most space weather events related to low-frequency geomagnetic disturbances. 展开更多
关键词 search coil magnetometer CSES,data description earthquake
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