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1∶20万区域重力调查成果分析——以可可西里湖地区为例

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工程地球物理学报 2024年第3期21卷 433-442页

作者：朱将波陈社教汪启年安徽省勘查技术院安徽合肥230031

可可西里湖地区位于青藏高原北部,地质工作程度较低,为认识测区主要地层展布、断裂构造、岩浆岩及沉积盆地分布,在可可西里湖地区开展1∶20万区域重力调查,进行数据处理和综合研究,结果表明:本区地壳趋于均衡补偿,莫霍面与地势大致呈“... 详细信息

可可西里湖地区位于青藏高原北部,地质工作程度较低,为认识测区主要地层展布、断裂构造、岩浆岩及沉积盆地分布,在可可西里湖地区开展1∶20万区域重力调查,进行数据处理和综合研究,结果表明:本区地壳趋于均衡补偿,莫霍面与地势大致呈“镜像”关系;共推断断裂21条,东昆仑南断裂是西域板块和华南板块的边界,其以北地区莫霍面快速抬升,东昆仑中断裂位置较以往偏北约12 km;圈定侵入岩10处,主要在东昆仑中缝合带发育;识别中新生代沉积盆地9处,并反演底界面埋深变化,楚玛尔河盆地新生界厚度在2000 m以上;在速度结构和电性结构约束下,通过重力2.5维定量反演建立了地质地球物理剖面模型,分析了主要构造单元的地质特征,同时初步划分金属矿找矿远景区4处。

关键词：可可西里湖地区区域重力调查断裂构造沉积盆地地质剖面模型

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基于LBL-CBL-PBL-RBL的新药研究与评价教学管理模式探讨

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基础医学教育 2024年第4期26卷 302-305页

作者：柳艳田逸君陈基快朱江波海军军医大学海军医学系卫生毒理学教研室上海200433

海军军医大学卫生毒理学教研室依托于国家GLP实验室,承担本科生新药研究与评价课程的教学工作。基于LBL-CBL-PBL-RBL的课程教学管理模式,充分利用各种方法的特点和优势,进行有机结合,以教学为基础、以新药案例为核心、以问题为导向及以... 详细信息

海军军医大学卫生毒理学教研室依托于国家GLP实验室,承担本科生新药研究与评价课程的教学工作。基于LBL-CBL-PBL-RBL的课程教学管理模式,充分利用各种方法的特点和优势,进行有机结合,以教学为基础、以新药案例为核心、以问题为导向及以资源为支撑,体现理论知识和实践技能并重发展,实现知识、能力和素质的有机融合,培养学生分析问题、解决复杂问题的综合能力。文章围绕强化教学过程管理,对新药研发与评价教学管理模式进行初步探讨。

关键词：新药研究与评价教学改革混合式教学管理模式教学方法

The source of Double ITCZ induced by the SST bias over the tropical western Pacific as reflected in CAS-ESM2 Model

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Science China Earth Sciences 2024年第5期67卷 1604-1615页

作者： Jinning TONG Fei ZHENG jiangbo JIN Ruowen YANG Jiang zhu Qingcun ZENG Department of Atmospheric Sciences Yunnan UniversityKunming 650091China International Center for Climate and Environment Science Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China

“Double ITCZ”is a common precipitation bias over the tropical Pacific in current climate models and Earth system models,but the reasons for its formation are still worth exploring and *** this study,we adopted the second version of Chinese Academy of Sciences Earth System Model(CAS-ESM2),by comparing a set of sea surface temperature(SST)bias correction experiments over the tropical Pacific,to explore the possible mechanism of SST bias on inducing the“Double ITCZ”from the perspective of the climatic annual mean bias in the coupled *** revealed that the simulated climatic annual mean SST bias over the tropical Pacific can affect the bias of latent heat flux through the saturation specific humidity,and the bias of latent heat flux can further affect that of vertical velocity of humid air by the condensation release mechanism,and finally modulate the simulated bias in ***,through the inter-comparison between different experiments,it is found that the source of Double ITCZ might mainly come from the annual mean SST bias over the tropical western Pacific through the proposed air-sea coupled process of“SST-saturated specific humidity-latent heat flux-vertical velocity-precipitation”,indicating a possible way on reducing the couple biases in models over the tropical Pacific to improve the accuracy of CAS-ESM2 for climate simulation.

关键词： SST bias Double ITCZ Nudging SST CAS-ESM2

Machine Learning-Based Temperature and Wind Forecasts in the Zhangjiakou Competition Zone during the Beijing 2022 Winter Olympic Games

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Journal of Meteorological Research 2024年第4期38卷 664-679页

作者： zhuo SUN jiangbo LI Ruiqiang GUO Yiran ZHANG Gang zhu Xiaoliang YANG China Meteorological Administration Xiong'an Atmospheric Boundary Layer Key Laboratory Xiong'an New Area 071800 Hebei Key Laboratory of Meteorology and Ecological Environment Shijiazhuang 050021 Hebei Meteorological Observatory Shijiazhuang 050021 College of Computer and Cyber Security Hebei Normal UniversityShijiazhuang 050024

Weather forecasting for the Zhangjiakou competition zone of the Beijing 2022 Winter Olympic Games is a challenging task due to its complex *** weather prediction models generally perform poorly for cold air pools and winds over complex terrains,due to their low spatiotemporal resolution and limitations in the description of dynamics,thermodynamics,and microphysics in mountainous *** study proposes an ensemble-learning model,named ENSL,for surface temperature and wind forecasts at the venues of the Zhangjiakou competition zone,by integrating five individual models—linear regression,random forest,gradient boosting decision tree,support vector machine,and artificial neural network(ANN),with a ridge regression as meta *** ENSL employs predictors from the high-resolution ECMWF model forecast(ECMWF-HRES) data and topography data,and targets from automatic weather station *** categories of predictors(synoptic-pattern related fields,surface element fields,terrain,and temporal features) are fed into *** results demonstrate that ENSL achieves better performance and generalization than individual *** root-mean-square error(RMSE) for the temperature and wind speed predictions is reduced by 48.2% and 28.5%,respectively,relative to *** the gust speed,the performance of ENSL is consistent with ANN(best individual model) in the whole dataset,whereas ENSL outperforms on extreme gust samples(42.7% compared with 38.7% obtained by ECMWF-HRES in terms of RMSE reduction).Sensitivity analysis of predictors in the four categories shows that ENSL fits their feature importance rankings and physical explanations effectively.

关键词： machine learning ensemble learning post-processing cold air pools mountain Beijing 2022 Winter Olympic Games

Compensation of quadrature imbalance in an optical coherent OQPSK receiver in presence of frequency offset

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Frontiers of Optoelectronics 2011年第3期4卷 288-291页

作者： Xinying LI Bo HUANG Yufeng SHAO Junwen ZHANG Shumin ZOU Wuliang FANG Li TAO jiangbo zhu Chi NAN Department of Communication Science and Engineering State Key Laboratory of Application Specific Integrated Circuit (ASIC) and SystemFudan University

In this paper, we describe the impact of quadrature imbalance(QI) in the presence of frequency offset in an optical coherent offset quadrature phase shift keying(OQPSK) receiver. Arbitrary conjugate misalignment was realized in a 2×4 90° optical hybrid, and the ellipse correction(EC) method of quadrature imbalance was applied in our simulation. In the case of transmission,the EC method can significantly improve the system performance.

关键词： offset quadrature phase shift keying (OQPSK) quadrature imbalance (QI) ellipse fitting frequency offset

CAS-ESM2.0 Successfully Reproduces Historical Atmospheric CO_(2) in a Coupled Carbon−Climate Simulation

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Advances in Atmospheric Sciences 2024年第4期41卷 572-580页

作者： Jiawen zhu Juanxiong HE Duoying JI Yangchun LI He ZHANG Minghua ZHANG Xiaodong ZENG Kece FEI jiangbo JIN International Center for Climate and Environment Sciences Institute of Atmospheric PhysicsChinese Academy of SciencesBeijing 100029China Collaborative Innovation Center on Forecast and Evaluation of Meteorological Disasters(CIC-FEMD) Nanjing University of Information Science&TechnologyNanjing 210044China College of Global Change and Earth System Science Beijing Normal UniversityBeijing 100875China State Key Laboratory of Atmospheric Boundary Layer Physics and Atmospheric Chemistry Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China School of Marine and Atmospheric Sciences Stony Brook UniversityNY 11790USA University of Chinese Academy of Sciences Beijing 100049China

The atmospheric carbon dioxide(CO_(2))concentration has been increasing rapidly since the Industrial Revolution,which has led to unequivocal global warming and crucial environmental *** is extremely important to investigate the interactions among atmospheric CO_(2),the physical climate system,and the carbon cycle of the underlying surface for a better understanding of the Earth *** system models are widely used to investigate these interactions via coupled carbon-climate *** Chinese Academy of Sciences Earth System Model version 2(CAS-ESM2.0)has successfully fixed a two-way coupling of atmospheric CO_(2)with the climate and carbon cycle on land and in the *** CAS-ESM2.0,we conducted a coupled carbon-climate simulation by following the CMIP6 proposal of a historical emissions-driven *** paper examines the modeled CO_(2)by comparison with observed CO_(2)at the sites of Mauna Loa and Barrow,and the Greenhouse Gases Observing Satellite(GOSAT)CO_(2)*** results showed that CAS-ESM2.0 agrees very well with observations in reproducing the increasing trend of annual CO_(2)during the period 1850-2014,and in capturing the seasonal cycle of CO_(2)at the two baseline sites,as well as over northern high *** agreements illustrate a good ability of CAS-ESM2.0 in simulating carbon-climate interactions,even though uncertainties remain in the processes *** paper reports an important stage of the development of CAS-ESM with the coupling of carbon and climate,which will provide significant scientific support for climate research and China’s goal of carbon neutrality.

关键词： CAS-ESM atmospheric CO_(2) coupled carbon-climate simulation emissions-driven CMIP6 experiment

Manipulating optical vortices using integrated photonics

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Frontiers of Optoelectronics 2016年第2期9卷 194-205页

作者： Ning ZHANG Kenan CICEK jiangbo zhu Shimao LI Huanlu LI Marc SOREL Xinlun CAI Siyuan YU Photonics Group University of Bristol Bristol BS8 1UB UK State Key Laboratory of Optoelectronic Materials and Technologies Sun Yat-sen University Guangzhou 510275 China School of Engineering University of Glasgow Glasgow G12 8QQ UK

Optical vortices （OVs） refer to a class of cylindrical optical modes with azimuthally varying phase terms arising either from polarization rotation or from the angular projection of the wave vector that at the quantum level corresponds to photon spin or orbital angular momenta. OVs have attracted the attention of researchers in many areas of optics and photonics, as their potential applications range from optical communications, optical manipulation, imaging, sensing, to quantum information. In recent years, integrated photonics has becomes an effective method of manipulating OVs. In this paper, the theoretical framework and experimental progress of integrated photonics for the manipulation of OVs were reviewed.

关键词： optical vortex orbital angular momentum,angular grating micro-ring resonator

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影响滑行艇阻力数值计算的网格因素研究

中国造船 2015年第2期56卷 170-178页

作者：孙华伟马伟佳朱江波中国航空工业空气动力研究院气动发展部哈尔滨150001 哈尔滨工程大学船舶工程学院哈尔滨150001 中国舰船研究设计中心上海201108

为了获得有效的滑行艇阻力数值计算方法,采用粘性流体力学软件STAR CCM+,根据结构网格特点分别探讨了船体表面第一层网格节点高度、船体表面网格尺度以及流域网格节点分布系数三个因素对滑行艇阻力计算精度、收敛速度以及计算稳定性的... 详细信息

为了获得有效的滑行艇阻力数值计算方法,采用粘性流体力学软件STAR CCM+,根据结构网格特点分别探讨了船体表面第一层网格节点高度、船体表面网格尺度以及流域网格节点分布系数三个因素对滑行艇阻力计算精度、收敛速度以及计算稳定性的影响。通过把不同网格划分方法所得到的数值结果与模型试验结果进行比较,确定了适合滑行艇阻力计算的网格参数。利用得到的网格方案对多种航态滑行艇阻力进行计算,计算结果与试验值的符合情况良好。

关键词：滑行艇阻力 CFD 网格

基于卷积神经网络的花生籽粒完整性识别算法及应用

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农业工程学报 2018年第21期34卷 195-201页

作者：赵志衡宋欢朱江波卢雷孙磊哈尔滨工业大学电气工程及自动化学院哈尔滨150001 上海安西机械制造有限公司上海201109

针对现有色选设备在花生颗粒筛选过程中处理速度慢、准确率低的缺点,提出基于卷积神经网络的花生籽粒完整性识别算法。以完好花生、表皮破损花生和果仁破损花生的分类为例,构建花生图像库;搭造卷积神经网络,提取花生图像特征;为提高分... 详细信息

针对现有色选设备在花生颗粒筛选过程中处理速度慢、准确率低的缺点,提出基于卷积神经网络的花生籽粒完整性识别算法。以完好花生、表皮破损花生和果仁破损花生的分类为例,构建花生图像库;搭造卷积神经网络,提取花生图像特征;为提高分类准确率和实时性,从训练集构成、减小过拟合、加快训练收敛速度、简化网络结构等几方面对卷积神经网络进行优化;最终利用含2个卷积层、2个池化层、2个全连接层的3层神经网络实现了上述3类花生的分类。试验结果表明:该方法对花生分类的准确率达到98.18%,平均检测一幅单粒花生图像的时间为18ms,与现有色选设备相比有效提高了色选设备筛选的准确率和实时性。

关键词：农产品图像处理识别卷积神经网络特征提取色选系统花生颗粒筛选