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Quantitative Inversion of REEs in Ion-Adsorbed Rare Earth Ores from the Liutang Area(South China),Based on Measured Hyperspectral Data 认领 引用 被引量：3
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作者 Gong Cheng Hongrui Zhang +5 位作者 Huan Li Xiaoqing Deng Safiyanu Muhammad Elatikpo Jiaxuan Li Zhenguang Hu Guangqiang Li 《Journal of Earth Science》 SCIE CAS CSCD 2023年第4期1068-1082,共15页
Rare earth minerals are important strategic resources to economic development all over the world.In this study,multiple linear regression and back propagation(BP) neural network methods are used to invert the contents... Rare earth minerals are important strategic resources to economic development all over the world.In this study,multiple linear regression and back propagation(BP) neural network methods are used to invert the contents of ion adsorbed rare earth elements(REEs) and exploring the feasibility of quantitative inversion of REEs through measured hyperspectral data in Liutang rare earth mines,South China.The result shows that the spectral curve of the rare earth ore samples has obvious absorption characteristics around 390,930,1 400,1 900 and 2 200 nm,and continuum removal and the 1st derivative treatment can highlight the absorption characteristics.The modeling accuracies of BP neural network are higher than that of multiple linear regression model.The BP neural network model of the 1st derivative data in 400–1 000 nm bands has the best inversion result of the total content of REEs,R2 reaches 0.98,the ratio of the performance to deviation(RPD) is larger than 3.0.The quantitative inversion model of each REE(except for Ce) has high precision,R2 is greater than 0.90 and RPD is greater than 3.0.The results indicate that quantitative inversion of REEs using measured spectra not only has great potential and feasibility in the exploration of rare earth minerals,but also provides a rapid test method for the content of ion-adsorbed rare earth elements. 展开更多
关键词 hyperspectral ion-adsorbed ore neural network quantitative inversion rare earth ele-ments(REEs).
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Redox mechanism of geobattery and related electrical signals using a novel real-time self-potential monitoring experimental platform 认领 引用 被引量：3
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作者 XIE Jing CUI Yi-an +4 位作者 ZHANG Li-juan GUO You-jun CHEN Hang ZHANG Peng-fei LIU Jian-xin 《Journal of Central South University》 SCIE EI CAS CSCD 2024年第11期4155-4173,共19页
Controlled laboratory experiments are proved to be a valuable tool for investigating changes in underground physical properties and the related response of surface geophysical signals.The self-potential(SP)method is w... Controlled laboratory experiments are proved to be a valuable tool for investigating changes in underground physical properties and the related response of surface geophysical signals.The self-potential(SP)method is widely used in mineral resource exploration due to its direct correlation with underground electrochemical gradients.This paper presented the design and construction of an experimental platform based on a multi-channel SP monitoring system.The proposed platform was used to monitor the anodizing corrosion process of different metal blocks from a laboratory perspective,record the real-time SP signal generated by the redox reaction,as well as investigate the geobattery mechanism associated with the natural polarization process of metal mineral resources.The experimental results demonstrate that the constructed SP monitoring platform effectively captures time-series SP signals and provides direct laboratory evidence for the geobattery model.The measured SP data were quantitatively interpreted using the simulated annealing algorithm,and the inversion results closely match the real model.This finding highlights the potential of the SP method as a promising tool for determining the location and spatial distribution of underground polarizers.The study holds reference value for the exploration and exploitation of mineral resources in both terrestrial and marine environments. 展开更多
关键词 self-potential real-time monitoring laboratory experiment geobattery mechanism quantitative inversion
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Ground Clutter Impacts on S-and X-Band Weather Radars across Three Chinese Megacities:A 75-Radar Census of Sources,Transmitter-Dependent Discrepancies,and Network Mitigation 认领 引用
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作者 Yutong LUO Chong WU +2 位作者 Liping LIU Lei WU Ruiyi LI 《Journal of Meteorological Research》 SCIE CSCD 2026年第4期1286-1303,共18页
The operational utility of S-band weather radars—the backbone of the China New Generation Weather Radar(CINRAD)network—is severely compromised by ground clutter from dense high-rise buildings and surrounding mountai... The operational utility of S-band weather radars—the backbone of the China New Generation Weather Radar(CINRAD)network—is severely compromised by ground clutter from dense high-rise buildings and surrounding mountainous terrain in megacities.Although over 170 units have been upgraded to dual-polarization,the extent to which such clutter systematically degrades data quality,hydrometeor classification,and quantitative precipitation estimation(QPE)has not been quantified across diverse urban environments.Meanwhile,X-band radars are being deployed extensively as gap-fillers,yet a systematic comparison of their clutter susceptibility relative to S-band systems—and whether dense X-band networking can actively compensate for S-band observational deficits—remains absent.Addressing this knowledge gap is critical for optimizing multi-band collaborative observation strategies and improving severe weather nowcasting in densely populated metropolitan areas.In this study,observations from 25 Sband and 50 X-band radars during the 2024 flood season in Beijing,Hangzhou,and Guangzhou are analyzed.A longterm statistical averaging method is applied to accumulated data from large-scale precipitation events to isolate systematic clutter signatures from random precipitation variability.The study systematically compares the ground clutter impact characteristics between S-band and X-band radars deployed across three Chinese megacities,and quantitatively evaluates the mitigation efficacy of dense X-band radar networking in clutter-affected regions of S-band radars.It is found that for S-band radars,dual-polarization anomalies at low elevations account for 35%-68%,decreasing to 6%-18%aloft,while beam blockage remains below 10%at low elevations.In contrast,X-band radars exhibit only 1%-25%low-elevation anomalies and are nearly clutter-free at high elevations.Source attribution reveals that S-band clutter originates predominantly from buildings,whereas X-band clutter sources are environment-dependent—mountains dominate when mean beam blockage is high,and buildings dominate in densely populated areas.Notably,for solid-state X-band radars,pulse-compression sidelobe effects expand the correlation coefficient(ρHV)impacted area far beyond that of the texture parameter of differential phase[SD(ΦDP)]—a discrepancy absent in klystron-based systems.After strategic X-band networking,the combined mainlobe and sidelobe clutter proportion at 0.5 km altitude drops from 66%-94%to 5%-25%,light-to-moderate rain classification accuracy exceeds 95%,and all QPE algorithms show improved correlation with rain gauges.In conclusion,X-band radars exhibit substantially lower ground clutter susceptibility than S-band radars,and dense X-band networks effectively compensate for S-band observational gaps in complex megacity environments.These findings provide a quantitative foundation for optimizing multi-band radar network deployment and data quality control in China. 展开更多
关键词 dual polarization weather radars ground clutter impact quality control statistical study quantitative inversion
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