等熵位涡揭示的一次强寒潮过程中高层扰动特征          下载免费PDF全文

吴志彦  李宏江  赵海军  姚丽娜  李旭杰 《山东气象》2017,37(1):84-91

采用欧洲中心提供的ERA-Interim每日4次再分析资料,对2016年1月下旬的一次强寒潮事件进行等熵位涡分析。结果表明,此次强寒潮的爆发以动力对流层顶下降、高位涡下传为特征,位涡扰动的强度和时间曲线的转折点对寒潮的酝酿和爆发有指示意义。此次强寒潮过程的冷空气可追溯到欧亚北部的新地岛附近和亚洲东北部的对流层顶,两股具有高位涡的冷空气在贝加尔湖附近合并堆积,在转竖横槽的引导下向南爆发,形成强寒潮。伴随寒潮过程的酝酿和爆发,高位涡强冷空气向下、向南传播,并伴随急流向下伸展。高位涡柱对应强烈发展并下伸的正涡度柱,表明高位涡引起的垂直拉伸导致显著的旋转增强,对应涡后横槽的强烈加深。对流层顶呈现大振幅波动,来自高层的信号较低层出现得更早、更强,在动力对流层顶上的信号比500 hPa表现得更为清楚。  相似文献   

基于数字滤波法和SWAT模型的灞河流域基流时空变化特征研究   总被引：1，自引：0，他引：1  

胡胜  杨冬冬  吴江  高宇  邱海军  曹明明  宋进喜  万虹麟 《地理科学》2017,37(3):455-463

将国内外应用较广的数字滤波法和分布式水文模型SWAT相结合,在进行基流时间特征分析的基础上,通过修正基流退水系数α、模型效率评价、重新运行模型、GIS空间插值和趋势分析等方法,创新性地实现了基流空间特征的可视化表达。研究结果表明：① 2001~2012年灞河流域年均基流指数（BFI）为0.43,总体呈增加的趋势。年降水量与年径流、年基流均呈明显的正相关关系,与年基流指数呈明显的负相关关系;② 基流年内变化较为稳定,在时间上存在秋季>春季>夏季>冬季、汛期>非汛期的关系。枯水期的基流指数高达0.78,表明基流是枯水期河流的主要补给来源;③ 灞河流域基流在空间上表现为自东南向西北、自上游向下游逐渐增加的趋势,这种空间分异规律是由流域的地势和河流流向决定的。  相似文献   

二维地质体的瞬变电磁场响应特征   总被引：6，自引：1，他引：6       下载免费PDF全文

陈明生  闫述  石显新  解海军 《地震地质》2001,23(2):252-256

直接从时间域出发 ,应用时域有限差分方法 (FDTD)分析地下和地面的瞬变响应。由于二维情况便于图形表示 ,采取了线源二维地电模型。通过对二层均匀地电结构和含二维低阻体时地面垂直感生电动势曲线的计算 ,说明瞬变场响应有滞后现象 ,即异常地质体一旦引起瞬变响应 ,就会往后延时 ,并使响应延续较长时间。在实际的工程勘察中 ,曾用 3～ 5ms以后的延迟时间探测过较浅的异常体 ,如 2 0m至 150m深度范围内的地下老窑采空区 ,并取得了较好的探测效果 ,上述数字模拟结果为以往的实践提供了理论依据  相似文献   

Effects of suspended culture of the seaweed <Emphasis Type="Italic">Laminaria japonica</Emphasis> aresch on the flow structure and sedimentation processes     

ZHANG Zehua  HUANG Haijun  LIU Yanxia  YAN Liwen  BI Haibo 《中国海洋大学学报(英文版)》2016,15(4):643-654

The culture of suspended kelp, such as Laminaria japonica Aresch, has arisen in nearshore areas for approximately 30 years since the 1980 s. This long-term activity has significant impact on the regional hydrodynamic and sedimentary environments. In this study the impact was investigated, based on synchronized multi-station data from continuous observations made within and around the culture area. In total, three current velocity profiles were identified inside and on the landward side of the culture area. Based on the current velocity profiles we calculated the boundary layer parameters, the fluxes of erosion/deposition, and the rate of sediment transport in different times at each observation site. Comparison between culture and non-culture periods showed that the presence of suspended kelp caused the reduction in the average flow velocity by approximately 49.5%, the bottom friction velocity by 24.8%, the seabed roughness length by 62.7%, and the shear stress and the flux of resuspended sediment by approximately 50%. From analyses in combination with the corresponding vertical variation of the suspended sediment distribution, it is revealed that the lifted sediments by resuspension is mixed with the upper suspended material, which will modify the regional distribution of suspended sediment. These changes in flow structure and sediment movement will accelerate seabed siltation, which corresponds to the changes in seabed erosion/deposition. However, under the influences of the seasonal changes in kelp growth the magnitude of change with the seabed siltation was not obvious inside the culture area, but a fundamental change was apparent around the culture area.  相似文献   

Scenario-based runoff prediction for the Kaidu River basin of the Tianshan Mountains,Northwest China     

Changchun Xu  Jie Zhao  Haijun Deng  Gonghuan Fang  Jing Tan  Dandan He  Yapeng Chen  Yaning Chen  Aihong Fu 《Environmental Earth Sciences》2016,75(15):1126

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Linking land subsidence over the Yellow River delta,China, to hydrocarbon exploitation using multi-temporal InSAR     

Yilin Liu  Haijun Huang  Yanxia Liu  Haibo Bi 《Natural Hazards》2016,84(1):271-291

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基于蜂群算法的城市土地利用变化建模     

章欣欣  栾海军  花利忠 《地理科学》2016,36(3):359-366

通过引入人工蜂群算法用于构建土地利用变化的驱动力模型,分析土地利用变化的驱动力机制。算法原理通过模仿蜜蜂采蜜行为,自动搜索和提取土地利用变化样本中不同土地变化类型所对应的驱动力分类规则。分类规则的构建采用“IF…THEN”形式,并选取3种不同的适应度函数分别进行模拟验证。研究案例基于UCI实验数据集和美国纽卡斯尔市真实土地利用变化数据集。由实验结果可知,采用蜂群算法模型的总体精度和Kappa系数评价优于其它算法,表明蜂群算法应用于土地利用变化建模具有可行性。  相似文献   

基于空间句法的扩张强度指数及其在城镇扩展分析中的应用   总被引：6，自引：0，他引：6  

王海军  夏畅  张安琪  刘耀林  贺三维 《地理学报》2016,71(8):1302-1314

扩张强度指数（Expand Intensity Index, EII）是目前城市扩展数量特征研究的常用指标,用以表征城市扩张程度和速度,但该指标是从城市扩张的结果,即从城市用地面积变化角度对物质空间变化的简单描述与分析,忽略了人在空间中的感受,未能从城市扩张的动因角度揭示城市扩张特征,缺乏对城市外部空间形态演变模式的深入研究,不能反映人在城市扩展空间上的活动。本文从交通网络对城市扩张的驱动作用入手,基于空间句法,提出一种新的扩张强度指数——基于空间句法的扩张强度指数（Space Syntax Expand Intensity Index, SS-EII）,SS-EII包涵可反映空间集聚和离散程度的句法变量,可用于分析空间可达性的变化等情况。与传统扩张强度指数相比,SS-EII是基于空间句法从城市扩张的驱动力方面计算扩张强度,不仅关注城市扩张的结果,同时关注交通对城市扩张模式、方向的导向作用和人主观感知下城市空间的变化。将SS-EII应用于广东省棉湖镇2002-2014年期间的城镇扩展特征分析中,研究结果表明,SS-EII可用于分析比较建成区不同方向的扩张速率与建设状况,其计算结果与棉湖镇建成区实际扩张情况相符,与EII相关度R²达0.95以上。  相似文献   

Seasonal variation and formation mechanism of the South China Sea warm water   总被引：6，自引：1，他引：6  

Liu Qinyu  Wang Dongxiao  Jia Yinglai  Yang Haijun  Sun Jilin  Du Yan 《海洋学报(英文版)》2002,21(3):331-343

The South China Sea warm water (SCSWW) is identified as the warm water body withtemperature no less than 28℃ . There are three stages in the seasonal variation of the SCSWW. The SCSWW expands rapidly and deepens quickly in the developing stage. The warm water thickness decreases near the coast of Vietnam and increases near Palawan Island in the steady stage. The SCSWW flinches southward while its thickness off Palawan Island remains no less than 50 m in the flinching stage. The maximum thickness of the SCSWW is always located near the southeastern SCS. The seasonal variation of the SCSWW has a close relationship with seasonal variation of the thermocline. According to the analysis of the numerical experiment results from the Princeton Ocean Model (POM), the mechanism of the seasonal variation of the SCSWW can be interpreted as: (1) in the developing stage, the rapidly expanding and thickening feature of the SCSWW is mainly due to buoyancy flux effect (67% contribution). The weak wind and anticyclonic wi  相似文献   

Using a maximum entropy model to optimize the stochastic component of urban cellular automata models   总被引：1，自引：0，他引：1  

Haijun Wang  Chang Xia  Sanwei He  Wenting Zhang 《International journal of geographical information science》2020,34(5):924-946

ABSTRACT

The stochastic perturbation of urban cellular automata (CA) model is difficult to fine-tune and does not take the constraint of known factors into account when using a stochastic variable, and the simulation results can be quite different when using the Monte Carlo method, reducing the accuracy of the simulated results. Therefore, in this paper, we optimize the stochastic component of an urban CA model by the use of a maximum entropy model to differentially control the intensity of the stochastic perturbation in the spatial domain. We use the kappa coefficient, figure of merit, and landscape metrics to evaluate the accuracy of the simulated results. Through the experimental results obtained for Wuhan, China, the effectiveness of the optimization is proved. The results show that, after the optimization, the kappa coefficient and figure of merit of the simulated results are significantly improved when using the stochastic variable, slightly improved when using Monte Carlo methods. The landscape metrics for the simulated results and actual data are much closer when using the stochastic variable, and slightly closer when using the Monte Carlo method, but the difference between the simulated results is narrowed, reflecting the fact that the results are more reliable.  相似文献