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SSRN 2024年

作者： Quan, Xin Li, Xiaofan Kang, Lili Chen, Feng Zhejiang Institute of Meteorological Sciences Zhejiang Hangzhou310058 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Zhejiang Hangzhou310027 China

This study aimed to investigate the radiative impacts of cloud hydrometeors on the radial movement of the maximum wind of Typhoon Rammasun (2014), as indicated by the radial shift in the maximum symmetric rotational kinetic energy ([[EQUATION]]). The sensitivity experiments conducted using the Weather Research and Forecasting (WRF) model indicated that the radial movement of [[EQUATION]] remains unaffected by the radiative impacts of cloud water, raindrops, snow, and graupel. However, eliminating the radiative impacts of cloud ice initially accelerated the contraction of [[EQUATION]] through an instability-enhanced conversion from symmetric divergent kinetic energy ([[EQUATION]]) to [[EQUATION]]. The contraction ceased because of a limited build-up of [[EQUATION]] and later resumed through the conversion from asymmetric rotational kinetic energy ([[EQUATION]]) to [[EQUATION]]. This 10-h pause in contraction ultimately led to a delay in rapid intensification, resulting in a 13% reduction in intensity peak. Our findings highlight the crucial role of the radiative impacts of cloud ice in shaping the dynamics of typhoon intensification. © 2024, The Authors. All rights reserved.

关键词： Kinetic energy

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Detrital zircon U–Pb geochronology of the Cenozoic succession in the southern Tarim Basin: Implications for the northward expansion of the West Kunlun Orogen and the evolution of intracontinental convergence in the northwestern Tibetan Plateau

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Palaeogeography, Palaeoclimatology, Palaeoecology 2025年 673卷

作者： Li, Chunyang An, Kaixuan Lin, Xiubin Li, Yong Yang, Xianzhang Zhang, Liang Chen, Cai Liang, Shujun Wei, Xiaochun Qu, Yang Zhao, Xinyue Huang, Jialun Chen, Hanlin Li, Shubing Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou 310027 China Research Center for Structures in Oil- and Gas-Bearing Basins Ministry of Education Hangzhou 310027 China Research Institute of Petroleum Exploration and Development Sinopec Southwest Oil and Gas Company Chengdu 610041 China Research Institute of Petroleum Exploration and Development Tarim Oilfield Company PetroChina Korla 841000 China PetroChina Zhejiang Oilfield Company Hangzhou 310023 China Hubei Engineering Research Center of Unconventional Petroleum Geology and Engineering School of Geosciences Yangtze University Hubei Wuhan 430100 China China Southern Petroleum Exploration & Development Corporation PetroChina Haikou 570216 China

The collision between the Indian and Eurasian plates led to the formation of the Tibetan Plateau and the development of a broad zone of intracontinental deformation. Situated in the northwestern Tibetan Plateau, the West Kunlun Orogen is a key region for examining intracontinental responses to the far-field effects of the India–Eurasia collision. However, the nature of convergence between the Tarim Basin and the West Kunlun Orogen remains uncertain. The West Kunlun Orogen consists of the northern and southern West Kunlun terranes and the Songpan-Ganzi terrane, each exhibiting distinct zircon U–Pb geochronological signatures. In this study, we apply detrital zircon U–Pb geochronology and related analyses to nine Cenozoic sediment samples from the Keliyang section and one sample from the Sangju River to investigate source-to-sink relationships and the uplift history of the West Kunlun Orogen. Our results reveal a significant shift in sedimentary provenance, transitioning from sources in the Songpan-Ganzi and southern West Kunlun terranes during the deposition of the Bashibulake, Keziluoyi, Anjuan and Pakabulake formations to the northern West Kunlun terrane during the deposition of the Artux Formation. This shift indicates a northward expansion of the West Kunlun Orogen, accompanied by a migration of the deformation front from the Tam Karaul Fault to the Tiklik Fault. These findings support a transition in convergence dynamics between the Tarim Basin and the West Kunlun Orogen shifted from a crustal-scale coupling mode with pure-shear thickening to a decoupled mode characterised by southward underthrusting of the Tarim Basin's lower crust. © 2025 Elsevier B.V.

关键词： Intracontinental convergence Source-to-sink relationship Southern Tarim Basin West Kunlun orogen

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The Warm Arctic-Cold Eurasia Pattern and Its key Region in Winter in CMIP6 Model Simulations

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Advances in Atmospheric Sciences 2023年第12期40卷 2138-2153,I0002-I0006页

作者： Liang ZHAO Yunwen LIU Yihui DING Qingquan LI Wei DONG Xinyong SHEN Wei CHENG Haoxin YAO Ziniu XIAO State Key Laboratory of Numerical Modeling for Atmosphere Sciences and Geophysical Fluid Dynamics(LASG) Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Key Laboratory of Meteorological Disaster Ministry of Education/Joint International Research Laboratory of Climate and Environment Change/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China Neijiang Meteorological Bureau Neijiang 641000China China Meteorological Administration National Climate CenterBeijing 100081China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth SciencesZhejiang UniversityHangzhou 310058China Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai) Zhuhai 519082China Beijing Institute of the Applied Meteorology Beijing 100029China

An enhanced Warm Arctic-Cold Eurasia(WACE)pattern has been a notable feature in recent winters of the Northern ***,divergent results between model and observational studies of the WACE still *** study evaluates the performance of 39 climate models participating in the Coupled Model Intercomparison Project Phase 6(CMIP6)in simulating the WACE pattern in winter of 1980-2014 and explores the key factors causing the differences in the simulation capability among the *** results show that the multimodel ensemble(MME)can better simulate the spatial distribution of the WACE pattern than most single *** that can/cannot simulate both the climatology and the standard deviation of the Eurasian winter surface air temperature well,especially the latter,usually can/cannot simulate the WACE pattern *** mainly results from the different abilities of the models to simulate the range and intensity of the warm anomaly in the Barents Sea-Kara seas(BKS)*** analysis shows that a good performance of the models in the BKS area is usually related to their ability to simulate location and persistence of Ural blocking(UB),which can transport heat to the BKS region,causing the warm Arctic,and strengthen the westerly trough downstream,cooling central ***,simulation of UB is key and significantly affects the model’s performance in simulating the WACE.

关键词： warm Arctic-cold Eurasia pattern Arctic amplification CMIP6 simulation evaluation extreme climate blocking highs

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Surface wave imaging with stationary-phase noise sources based on ultrashort traffic-induced data: An application in karst cave detection 11

Surface wave imaging with stationary-phase noise sources bas...

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11th International Conference on Environmental and Engineering Geophysics, ICEEG 2024

作者： Ning, Ling Dai, Tianyu Liu, Ya Zhang, Hao Xi, Chaoqiang Key Laboratory of Poyang Lake Wetland and Watershed Research Ministry of Education Jiangxi Normal University Nanchang330022 China School of Mathematics and Computer Sciences Nanchang University Nanchang330031 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310030 China GBA Branch of Aerospace Information Research Institute Chinese Academy of Sciences Guangzhou510700 China State Key Laboratory of Mining Response and Disaster Prevention and Control in Deep Coal Mines School of Earth and Environment Anhui University of Science and Technology Anhui Huainan232001 China

In urban environments, abundant traffic-induced noise data are analyzed through crosscorrelation to retrieve high-frequency (> 1 Hz) surface waves, providing a cost-effective technique for detecting near-surface structures. The isotropic noise source distribution is an essential prerequisite for the correct reconstruction of the Green's function. The azimuth of traffic noise sources, however, can change with human activities in highly populated urban areas, resulting in non-random distributions in time and space. Due to the uneven distribution of traffic noise sources, spurious signals are generated in the noise crosscorrelation functions and phase velocities calculated from the retrieved surface waves are overestimated, leading to incorrect S-wave velocity profiles. By analyzing the noise source distribution of each segment, we selected the stationary-phase segments to improve the retrieval of surface waves. We processed approximately one-day ultrashort continuous recordings to obtain virtual shot gathers with larger multichannel-coherency coefficients and dispersion images with more surface-wave dispersion data. S-wave velocity profiles for different arrays, including a 3D S-wave velocity model, were produced by inverting the surface-wave dispersion data to reveal the distribution of karst caves beneath the surface. The results demonstrate the effectiveness of the strategy of the stationary-phase segment selection and the great potential of traffic-induced surface waves in monitoring subsurface changes in urban areas. © 2024 Institute of Physics Publishing. All rights reserved.

关键词： Caves

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Establishing the present-day differential climate of Qaidam Basin since ～9 Ma driven by the uplift of Qilian Shan

Establishing the present-day differential climate of Qaidam ...

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2022年中国地球科学联合学术年会

作者： Shaomin Pan Wenjing Zhang Xiaojing Jia Kaixuan An Xinwei Chen Hanlin Chen Xiubin Lin Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Research Center for Structures in Oil and Gas Bearing Basin Ministry of Education School of Earth Sciences Chengdu University of Technology

The Qaidam Basin plays a key role in the Cenozoic climatic evolution of northeast(NE) Tibetan Plateau. The Normalized Difference Vegetation Index(NDVI) and precipitation datasets show that the present-day climate is more arid in the southwest(SW) compared to the NE of the Qaidam basin, but when and how this differential climatic state has been established remains unknown.

关键词： Establishing the present-day differential climate of Qaidam Basin since Ma driven by the uplift of Qilian Shan

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Borehole Ground Penetrating Radar Attribute Analysis for Urban Engineering

SSRN

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SSRN 2023年

作者： Zhao, Wenke Huang, Ming Wu, Baojie Hong, Xucheng Forte, Emanuele Pipan, Michele Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310058 China Geophysical and Geochemical Exploration Institute of Zhejiang Province Hangzhou310027 China Zhejiang Academy of Building Research & Design Co. LTD Hangzhou310012 China Department of Mathematics and Geosciences University of Trieste Trieste34127 Italy

A precise and detailed knowledge and characterization of the subsurface is crucial for urban engineering planning and implementation. Drillings/boreholes are most widely used to provide the spatial distribution of blocks and boulders, but it is difficult to determine with high spatial-resolution location and distribution of the blocks and boulders in the soil stratum. We evaluate the applicability and the effectiveness of borehole Ground Penetrating Radar (GPR) for urban engineering purposes and we test attribute analysis to help the subway construction in the city center of Hangzhou, China. A multi-attribute approach exploiting amplitude-based and textural attributes is used. The results demonstrate that attribute analysis can visualize and quantitatively characterize borehole GPR features in an automatic and objective manner, maximizing the information for urban engineering. The integrated results from drillings and borehole GPR can provide an effective distribution of localized heterogeneities (such as blocks/boulders, sand/gravel lenses, cavities) in the potential target area. © 2023, The Authors. All rights reserved.

关键词： Boreholes

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A Robust Black Carbon Prediction Model Derived from Observational datasets in the Yangtze River Delta Region, China

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Environmental Pollution 2025年 126361页

作者： Lian Duan Pak Lun Fung Qingyan Fu Jia Chen Juntao Huo Kan Huang Guochen Wang Martha Arbayani Zaidan Zhigang Guo Tareq Hussein Shanghai Key Laboratory of Atmospheric Particle Pollution and Prevention Department of Environmental Science & Engineering Fudan University Shanghai 200438 China Institute of Eco-Chongming (IEC) Shanghai 200062 China Institute for Atmospheric and Earth System Research (INAR/Physics) Faculty of Science University of Helsinki PL 64 FI-00014 UHEL Helsinki Finland Shanghai Academy of Environmental Sciences Shanghai 200233 China Shanghai Environmental Monitoring Center Shanghai 200030 China IRDR ICoE on Risk Interconnectivity and Governance on Weather/Climate Extremes Impact and Public Health Fudan University Shanghai 200433 China Observation and Research Station of Huaniaoshan East China Sea Ocean-Atmosphere Integrated Ecosystem Ministry of Natural Resources China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province Department of Atmospheric Sciences School of Earth Sciences Zhejiang University Hangzhou 310027 China Department of Computer Science Faculty of Science University of Helsinki PL 64 FI-00014 UHEL Helsinki Finland Environmental and Atmospheric Research Laboratory (EARL) Department of Physics School of Science University of Jordan 11942 Amman Jordan

Black carbon (BC) is a short-lived pollutant with significant environment and human health impacts. Monitoring BC is important, but its spatial coverage is limited. Therefore, predicting BC concentration is crucial in densely populated regions like the Yangtze River Delta (YRD). This study explores the machine learning (ML) models, including IAP, LASSO, RF, and SNN, to develop a robust BC prediction model for the YRD, based on BC behavior at the Dianshan Lake (DSL) site. The annual BC concentration at DSL was 1.37 μg/m 3 , mainly from liquid fuel combustion (68%), biomass burning (16%), and coal combustion contributing (16%). The ML model was first trained with DSL data (June 2021–June 2022) and then applied to other YRD sites in four scenarios based on air mass trajectories. The SNN model had R 2 values over 0.80 for all scenarios at the DSL site. The model performed better during peak traffic periods, highlighting traffic’s impact on BC levels. These models were applied to the YRD sites with R 2 from 0.45–0.84. Hangzhou (HZ, 0.75–0.81), Nanjing (NJ, 0.78–0.80), and Pudong (PD, 0.76–0.84) showed the highest results. This suggests the model effectively captures BC concentrations from sources with similar emissions and meteorological conditions.

关键词： Black carbon Different scenarios Machine learning Model extension Traffic-driven

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Beyond 10logm Array Gain: A Beamforming Method Under Non-Gaussian Noise and Multi-Sources

SSRN

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SSRN 2023年

作者： Su, Xiruo Tao, Liurong Ren, Haoran Wu, Bin Ye, Lingyun College of Biomedical Engineering & Instrument Science Zhejiang University Hangzhou310027 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310058 China Zhejiang Provincial Key Laboratory for Network Multimedia Technology Hangzhou310027 China Hainan Institute Zhejiang University Sanya572025 China Explosion and Seismic Sensing Research Center Advanced Technology Institute Zhejiang University Hangzhou310027 China

Researchers have applied deep learning techniques in the direction of arrival domain in various real-world applications, such as traffic positioning and hydro-acoustic detection. However, the effectiveness of these algorithms is dependent on the similarity of training data with actual data, which is challenging to obtain, particularly in hydro-acoustic environments. This is due to the limited array gain (AG) and constantly changing ambient noise. Moreover, the presence of non-Gaussian noise in the background further complicates the identification process, especially lower the basic 10logM AG. Additionally, the majority of existing algorithms are only capable of detecting up to four sources. To tackle this issue, we propose a novel method that employs a diagonal beam spectrum (DBS) feature to suppress non-Gaussian noise and enhance array gain. By utilizing DBS, our method surpasses the theoretical 10logM array gain and achieves an impressive 25logM array gain, while effectively detecting signals as low as -38dB (M denotes the number of sensors).We also use SA-U-NET, an image edge detection network based on DBS, to detect unlimited sound sources and optimize angular positioning. Our proposed method achieves up to 95.67% correctness (4 times better than the best baseline) in experiments , demonstrating the potential of DBS and SA-U-NET. © 2023, The Authors. All rights reserved.

关键词： Beamforming

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Correction to: On the weakened connection between ENSO SST and warm water volume along the equatorial Pacific

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Climate Dynamics 2024年第1期63卷 1-5页

作者： Tan, Wei Liu, Yunyun Li, Xiaofan Li, Juan Hu, Zeng-Zhen College of Ocean Science and Engineering Shandong University of Science and Technology Qingdao China Laboratory for Regional Oceanography and Numerical Modeling Qingdao Marine Science and Technology Center Qingdao China CMA Climate Study Key Laboratory National Climate Center China Meteorological Administration Beijing China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou China Climate Prediction Center NCEP/NWS/NOAA College Park USA

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Correction to: Rooted Spanning Superpixels

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International Journal of Computer Vision 2020年第3期129卷 803-803页

作者： Dengfeng Chai Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou China

The author regrets the omission of the following additional references to the International Journal of Computer Vision article, “Rooted Spanning Superpixels”.

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