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Potential vorticity analysis of quasi-biweekly rainfall events over the Yangtze Basin in summer 2014 被引量:1
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作者 chang tang Xiaofei Wu +1 位作者 Guanshun Zhang Jiangyu Mao 《Atmospheric and Oceanic Science Letters》 CSCD 2021年第6期20-27,共8页
A series of heavy rainfall events occurred over the Yangtze River Valley(YRV)in summer 2014,which were modulated by the 10-20-day quasi-biweekly oscillation(QBWO).Thus,the strongest QBWO cycle for the period 10-24 Jul... A series of heavy rainfall events occurred over the Yangtze River Valley(YRV)in summer 2014,which were modulated by the 10-20-day quasi-biweekly oscillation(QBWO).Thus,the strongest QBWO cycle for the period 10-24 July was used as a representative case to reveal the dynamical mechanism for the QBWO of the YRV rainfall from the potential vorticity(PV)perspective and based on MERRA-2 reanalysis data.The quasi-biweekly YRV rainfall was found to depend closely on the QBWO of the upper-tropospheric South Asian high(SAH),with the SAH configuration modified by the southward-intruding midlatitude high PV stream along with southwestward-advected high PV,altering the divergent condition over the YRV.Quantitative diagnoses for the anomalous vertical motion demonstrated that,in the wet phase of the QBWO cycle,the upper-tropospheric southward-intruding high PV stream acted as a positive PV advection,while negative PV advection was generated due to the lower-tropospheric southerlies,thereby forming a positive vertical gradient of horizontal PV advection to induce evident isentropic-displacement ascending motion.On the other hand,the southward-intruding high PV stream extended downward to the middle troposphere,causing the isentropic surfaces to become more sloping,thus producing a strong isentropic-gliding ascending component.Subsequently,the stronger diabatic heating-related ascending motion was induced to generate positive rainfall anomalies over the YRV.The opposite situation arose in the dry phase,with weak descending motion in magnitude. 展开更多
关键词 Quasi-biweekly oscillation Summer Yangtze rainfall Potential vorticity Vertical motion
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RGBD Salient Object Detection by Structured Low-Rank Matrix Recovery and Laplacian Constraint 被引量:1
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作者 chang tang Chunping Hou 《Transactions of Tianjin University》 EI CAS 2017年第2期176-183,共8页
A structured low-rank matrix recovery model for RGBD salient object detection is proposed. Firstly, the problem is described by a low-rank matrix recovery, and the hierarchical structure of RGB image is added to the s... A structured low-rank matrix recovery model for RGBD salient object detection is proposed. Firstly, the problem is described by a low-rank matrix recovery, and the hierarchical structure of RGB image is added to the sparsity term. Secondly, the depth information is fused into the model by a Laplacian regularization term to ensure that the image regions which share similar depth value will be allocated to similar saliency value. Thirdly, a variation of alternating direction method is proposed to solve the proposed model. Finally, both quantitative and qualitative experimental results on NLPR1000 and NJU400 show the advantage of the proposed RGBD salient object detection model. © 2017, Tianjin University and Springer-Verlag Berlin Heidelberg. 展开更多
关键词 Laplace transforms Object recognition RECOVERY
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Does the transformation of energy structure promote green technological innovation?A quasi-natural experiment based on new energy demonstration city construction 被引量:3
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作者 Chuanming Liu chang tang Yiding Liu 《Geoscience Frontiers》 SCIE CAS CSCD 2024年第3期373-388,共16页
New energy development is essential to achieving carbon peaks and neutrality and promoting green technological innovation.Identifying the causal relationship between new energy demonstration city construction and gree... New energy development is essential to achieving carbon peaks and neutrality and promoting green technological innovation.Identifying the causal relationship between new energy demonstration city construction and green technological innovation is crucial for the expansion and promotion of new energy demonstration cities.In this study,we take the construction of new energy demonstration cities as a quasi-natural experiment,study their impact on green technological innovation using difference-indifference(DID),and conduct a robustness test using DID after propensity score matching(PSM-DID).The research results indicate the following:First,energy structure optimization can significantly improve the level of urban green technological innovation(this result was shown to be valid using PSM-DID and other tests involving the effects of placebo and instrumental variables).Second,new energy demonstration city construction mainly improves the level of urban green technological innovation through technology research and development,the improvement of the industrial innovation environment,and the promotion of environmental performance.Third,the impact of energy structure optimization on green technological innovation has regional,financial,and economic development heterogeneity.Finally,new energy demonstration city policy affects the flow of capital,labor,technology,and other production factors to pilot areas according to new energy demonstration city policy,forming a“siphon effect”.The carbon reduction effect of new energy demonstration city construction is greater than its pollution reduction effect.Given the results of the study,policy recommendations to promote the expansion of new energy demonstration cities are proposed. 展开更多
关键词 New energy demonstration city Green technological innovation Theoretical mechanism DIFFERENCE-IN-DIFFERENCE
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基于高阶图融合的多视图聚类算法
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作者 尤运宁 唐厂 +4 位作者 刘新旺 邹鑫 刘袁缘 蒋良孝 张长青 《中国科学:信息科学》 CSCD 北大核心 2024年第9期2098-2115,共18页
基于图的多视图聚类算法通过探索样本点之间的邻近关系,受到了广泛的关注.尽管在实际应用中已经取得了较好的聚类性能,但是观察到大多数算法只是利用一阶邻近关系去构建相似图,这导致信息探索不足和多视图数据表征能力下降.为了解决这... 基于图的多视图聚类算法通过探索样本点之间的邻近关系,受到了广泛的关注.尽管在实际应用中已经取得了较好的聚类性能,但是观察到大多数算法只是利用一阶邻近关系去构建相似图,这导致信息探索不足和多视图数据表征能力下降.为了解决这个挑战,本文提出了一种新颖的基于高阶图融合的多视图聚类算法(high-order graph fusion for multi-view clustering,HCDMC).具体地,所提出的算法通过一种新颖的隐式权重学习策略,从每个视图对应的一阶和二阶邻近图中学习相应的高阶图.引入希尔伯特-施密特(Hilbert-Schmidt)独立性准则作为一种差异性正则化项,旨在加强一致性高阶图的互补信息.最后,对学习到的一致性高阶图施加连通性约束,直接得到聚类标签矩阵,无需任何后处理步骤.使用交替方向乘子法去解决模型的优化问题.在6个真实的数据集上进行了一系列的实验,相较于最新的算法,本文提出的算法具有更好的聚类性能. 展开更多
关键词 多视图聚类 高阶图 图结构学习 图融合 差异性正则化
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