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SSRN 2024年

作者： Zhang, Chi Li, Xiaofan Liu, Rui Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310058 China

This study investigated radiative effects on kinetic and potential energy budgets associated with rapid intensification of Typhoon Mujigae in 2015 by conducting sensitivity experiments with Weather Research and Forecasting (WRF) model simulation. We found that the inclusion of radiative effects mainly increases the symmetric rotational kinetic energy ([[EQUATION]]), while the radiative effects are from infrared longwave radiative effects. The comparison in symmetric potential energy ([[EQUATION]]) and [[EQUATION]] budget between the sensitivity experiments excluding the radiative effects and solar shortwave radiative effects only reveals that the inclusion of infrared longwave radiative effects destabilizes the moist atmosphere and increases the conversion from [[EQUATION]] to symmetric divergent kinetic energy ([[EQUATION]]), which reduces [[EQUATION]] and enhances [[EQUATION]] through the strengthened conversion from [[EQUATION]] to [[EQUATION]]. © 2024, The Authors. All rights reserved.

关键词： Potential energy

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Fe-Mn interdiffusion in aluminosilicate garnets

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geoscience Frontiers 2024年第1期15卷 118-125页

作者： Yanjun Yin Baohua Zhang Xinzhuan Guo Key Laboratory of High-temperature and High-pressure Study of the Earth’s Interior Institute of GeochemistryChinese Academy of SciencesGuiyang 550081GuizhouChina University of Chinese Academy of Sciences Beijing 100049China Key Laboratory of Big Data in Geosciences and Deep Earth Resources of Zhejiang Province School of Earth SciencesZhejiang UniversityHangzhou 310058China

Precise determination of cation diffusivity in garnet can provide critical information for quantitatively understanding the timescales and thermodynamics of various geological processes,but very few studies have been performed for Fe-Mn *** this study,Fe-Mn interdiffusion rates in natural single crystals of Mn-bearing garnet with 750 ppm H2O are determined at 6 GPa and 1273-1573 K in a Kawai-type multi-anvil *** profiles were acquired by electron microprobe and fitted using Boltzmann-Matano *** experimental results show that the Fe-Mn interdiffusion coefficient(DFe-Mn)slightly decreases with increasing *** experimentally determined DFe-Mn in Mn-bearing garnet can be fitted by the Arrhenius equation:DFe-Mn(m2/s)=D0XFenexp(-E*/RT),where E*=(1-XFe)E*Mn+XFeE*Fe,D0=8.06-6.04+9.87×10-9 m2/s,E*Mn=248±27 KJ/mol,E*Fe=226±59 KJ/mol,n=-1.36±*** comparing the present results with previous experimental data suggest that water can greatly enhance the DFe-Mn in *** results indicate that the time required for homogenization of the compositional zoning of a garnet is much shorter than previously thought.

关键词： Fe-Mn interdiffusion Diffusion coefficient Garnet High pressure experiment Water

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EG17: Accurate linear-array dispersion imaging of passive surface waves in urban environments 7

EG17: Accurate linear-array dispersion imaging of passive su...

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7th International Conference on Engineering Geophysics, ICEG 2023

作者： Liu, Ya Cheng, Feng Mi, Binbin Pang, Jingyin Ning, Ling Zhang, Hao Xi, Chaoqiang Chen, Xinhua Guan, Bo You, Baiyang Hong, Yu Ma, Yulong Zhou, Jie Xia, Jianghai Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou 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 Huainan China GBA Branch of Aerospace Information Research Institute Chinese Academy of Sciences Guangzhou510700 China

Passive surface-wave methods are gaining more and more attention in near-surface geophysical and geotechnical applications. The key to the success of surface-wave methods is accurate dispersion imaging. In urban environments, a linear receiver array is commonly used for dispersion analysis for its high efficiency and low cost. Non-ideal distribution of noise sources can lead to inaccurate imaging results. For obtaining accurate phase-velocity estimation with a linear array, we propose a new workflow for dispersion imaging. Two schemes are used for handling nonuniform source distributions. With three-component data, the source azimuth can be determined and utilized for apparent velocity correction during dispersion imaging. Without three-component data, the strength of the stationary-phase-zone sources is estimated by single-component data and used for the stacking of crosscorrelations. Two synthetic examples demonstrate that the proposed workflow is effective for accurate linear-array dispersion imaging when noise sources are nonuniformly distributed. Our workflow would be an alternative to the applications of passive surface-wave methods in urban areas, especially for nonuniform source distribution. © 2024 7th International Conference on Engineering Geophysics, ICEG 2023. All rights reserved.

关键词： Surface waves

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Surface Processes Driving Intracontinental Basin Subsidence in the Context of India–Eurasia Collision:Evidence from Flexural Subsidence Modeling of the Cenozoic Southern Tarim Basin along the West Kunlun Foreland,NW Tibetan Plateau

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Acta Geologica Sinica(English Edition) 2023年第6期97卷 1778-1786页

作者： HUANG Hao LIN Xiubin AN Kaixuan ZHANG Yuqing CHEN Hanlin CHENG Xiaogan LI Chunyang Key Laboratory of Geoscience Big Data and Deep Resources of Zhejiang Province School of Earth SciencesZhejiang UniversityHangzhou 310027China Research Center for Structures in Oil and Gas-Bearing Basins Ministry of EducationHangzhou 310027China Research Institute of Petroleum Exploration and Development PetroChinaBeijing 100083China Research Institute of Petroleum Exploration and Development Sinopec Southwest Oil and Gas CompanyChengdu 610041China

The India–Eurasia collision has produced a number of Cenozoic deep intracontinental basins,which bear important information for revealing the far-afield responses to the remote *** their significance,their subsiding mechanism remains the subject of debate,with end-member models attributing it to either orogenic or sedimentary *** this study,we conduct flexural subsidence modeling with a two-dimensional finite elastic plate model on the Hotan-Mazatagh section along the southern Tarim Basin,which defines a key region in the foreland of the West Kunlun Orogen,along the NW margin of the Tibetan *** modeling results indicate that the orogenic load of West Kunlun triggers the southern Tarim Basin to subside by up to less than ~6 km,with its impact weakening towards the basin interiors until ~230 km north from the Karakax *** sedimentary load,consisting of Cenozoic strata,forces the basin to subside by ~2 to~7 *** combination with the retreat of the proto-Paratethys Sea and the paleogeographic reorganization of the Tarim Basin,we propose that surface processes,in particular a shift from an exorheic to an endorheic drainage system associated with the consequent thick sedimentary load,played a decisive role in forming deep intracontinental basins in the context of the India-Eurasia collision.

关键词： flexural subsidence modeling India-Eurasia collision West Kunlun Tarim Basin Northwest Tibetan Plateau

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High pressure geochemistry:Preface

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geoscience Frontiers 2021年第2期12卷 893-895页

作者： Jianguo Du Baohua Zhang Bo Zou Bin Chen Geeth Manthilake United Laboratory of High-Pressure Physics and Earthquake Science Key Laboratory of Earthquake PredictionInstitute of Earthquake ForecastingCEABeijing 100036China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth SciencesZhejiang UniversityHangzhou 310027China State Key Laboratory of Superhard Materials Jilin UniversityChangchun 130012China Hawaii Institute of Geophysics and Planetology School of Ocean and Earth Science and TechnologyUniversity of Hawaii at ManoaHonoluluHI 96822USA Laboratoire Magmas et Volcans CNRS IRDOPGCUniversitéClermont Auvergne63000 Clermont-FerrandFrance

The origin and history of the Earth are manifested as the evolutionary processes of chemistry and physics of its interiors,which can be recognized by deciphering the geochemical signals recorded in minerals and *** interiors of the Earth and other rocky planets are under both extreme pressure and temperature,i.e.,approximately 360 gigapascals(GPa)and as high as 7000 K at the center of the Earth.

关键词： Earth geochemistry minerals

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Seasonal Forecast of Winter Precipitation Over China Using Machine Learning Models

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SSRN 2023年

作者： Jia, XiaoJing Qian, QiFeng Zhejiang Institute of Meteorological Science Zhejiang Hangzhou China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Zhejiang Hangzhou China

This study employs two machine learning (ML) models, namely the light gradient boosting machine (LightGBM) and the extreme gradient boosting (XGBoost) model, to perform seasonal forecasts for winter precipitation over China. The seasonal forecast results derived from a dynamic model are used for the purpose of comparison. The predictors employed in the two ML models consist of climate variables from the preceding autumn. The ML models are trained using data from 1979 to 2010 without an additional predictor selection process. Consequently, the ML models autonomously extract useful information and then apply it to perform seasonal forecasts of winter precipitation for 2011-2020. Results indicate that the two ML models exhibit reasonable forecast skills and demonstrate superior performance over various regions when compared to the dynamic model. Additionally, the ensemble forecasts of the two ML models and the dynamic model exhibit higher skill in southern China compared to the dynamic model forecast alone. Further investigation reveals that the forecast skill of the ML models can be attributed to their skillful forecast accurate predictions of the first empirical orthogonal function mode (EOF1) of the winter precipitation. In addition, the split time count method and the Shapley additive explanation (SHAP) values analysis are performed to further understand and explain the ML model forecast results. Results show that the sea surface temperature (SST), especially the SST over the western Pacific plays an important role in the ML model seasonal forecasts of winter precipitation over China, consistent with previous studies. The outcomes of this investigation provide valuable insights that can enhance the practical implementation and understanding of ML models in the field of seasonal forecasting. © 2023, The Authors. All rights reserved.

关键词： Machine learning

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Seismic Traveltime Tomography with Label-free Learning

arXiv

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arXiv 2024年

作者： Wang, Feng Yang, Bo Wang, Renfang Qiu, Hong College of Big Data and Software Engineering Zhejiang Wanli University Ningbo315100 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Hangzhou310027 China

deep learning techniques have been used to build velocity models (VMs) for seismic traveltime tomography and have shown encouraging performance in recent years. However, they need to generate labeled samples (i.e., pairs of input and label) to train the deep neural network (NN) with end-to-end learning, and the real labels for field data inversion are usually missing or very expensive. Some traditional tomographic methods can be implemented quickly, but their effectiveness is often limited by prior assumptions. To avoid generating and/or collecting labeled samples, we propose a novel method by integrating deep learning and dictionary learning to enhance the VMs with low resolution by using the traditional tomography-least square method (LSQR). We first design a type of shallow and simple NN to reduce computational cost followed by proposing a two-step strategy to enhance the VMs with low resolution: (1) Warming up. An initial dictionary is trained from the estimation by LSQR through dictionary learning method;(2) Dictionary optimization. The initial dictionary obtained in the warming-up step will be optimized by the NN, and then it will be used to reconstruct high-resolution VMs with the reference slowness and the estimation by LSQR. Furthermore, we design a loss function to minimize traveltime misfit to ensure that NN training is label-free, and the optimized dictionary can be obtained after each epoch of NN training. We demonstrate the effectiveness of the proposed method through the numerical tests on both synthetic and field data. Copyright © 2024, The Authors. All rights reserved.

关键词： Tomography

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Low-Dose CT Reconstruction Using dataset-Free Learning

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SSRN 2024年

作者： Wang, Feng Wang, Renfang Yang, Bo Qiu, Hong College of Big Data and Software Engineering Zhejiang Wanli University Zhejiang Ningbo315100 China Key Laboratory of Geoscience Big Data and Deep Resource of Zhejiang Province School of Earth Sciences Zhejiang University Zhejiang Hangzhou310027 China

Low-Dose computer tomography (LDCT) is an ideal alternative to reduce radiation risk in clinical applications. Although supervised-deep-learning-based reconstruction methods have demonstrated superior performance compared to conventional model-driven reconstruction algorithms, they require collecting massive pairs of low-dose and norm-dose CT images for neural network training, which limits their practical application in LDCT imaging. In this paper, we propose an unsupervised and training data-free learning reconstruction method for LDCT imaging that avoids the requirement for training data. The proposed method is a post-processing technique that aims to enhance the initial low-quality reconstruction results, and it reconstructs the high-quality images by neural work training that minimizes the l-norm distance between the CT measurements and their corresponding simulated sinogram data, as well as the total variation (TV) value of the reconstructed image. Moreover, the proposed method does not require to set the weights for both the data fidelity term and the plenty term. Experimental results on the AAPM challenge data and LoDoPab-CT data demonstrate that the proposed method is able to effectively suppress the noise and preserve the tiny structures. And these results also shows the proposed method's low computational cost and rapid convergence. The source code is available at https://***/linfengyu77/IRLDCT. © 2024, The Authors. All rights reserved.

关键词： deep learning

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Assessing the Radiative Impacts of Cloud Hydrometeors on the Radial Movement of the Maximum Wind of Typhoon Rammasun (2014)

SSRN

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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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