多普勒雷达数据处理显示系统

多普勒天气雷达目前已经成为对短时强烈天气进行监测的主要手段之一。为了方便资料的处理和分析 ,将科研成果向业务应用转化 ,提高观测资料软件和资料处理能力 ,为预报员和科研人员提供方便 ,我们开发了多普勒雷达资料分析显示系统。该软件是兼原始数据处理、反演、显示功能于一体的雷达数据处理系统 ,有很好的兼容性和可移植性 ,其交互式、多线程、多窗口、多任务的汉化操作界面 ,灵活、简便 ,容易使用。根据用户需要 ,水平风场可用风矢量、风羽、流线或等值线等不同方式表达 ,多种水平变量也可以任意叠加     

内蒙古大青山地区构造新样式初探

内蒙古大青山地区侏罗纪盆地中发育有断层相关褶皱，有十分清晰的断层传播褶皱，断层转折褶皱等构造样式。断层相关褶皱轴向呈东西向展布，形成褶皱的地层是早侏罗世右拐群煤系地层，表明该褶皱至少在煤层形成后，受南北向挤压应力作用形成。研究这一构造样式，对这一地区的推覆构造、盆山耦合研究具有重要地质意义。     

PNN网络在预测MCS移动中的应用

神经网络是空间数据挖掘的一种重要手段。本文运用概率神经网络(PNN网络)对1998年夏季影响青藏高原上中尺度对流系统(MCS)东移的环境物理量场的空间分布特征进行了研究，得到了高原上MCS移动方向与环境物理量场空间分布之间的关系。研究表明，使用概率神经网络预测中尺度对流系统的移动具有较好的效果，从而为研究高原上MCS东移与环境场之间的关系提供了一种新的方法和思路。     

Data Fusion in Distributed Multi-sensor System

This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors“ data processing. First, a residual X^2-test strategy with the corresponding algorithm is designed.Then a coefficient matrices calculation method of the information sharing principle is derived. Finally, the federated Kalman filter is used to combine these independent, parallel, real-time data. A pseudolite (PL) simulation example is given.     

流动VLBI天线系统噪声温度及天线效率测量

我国自行研制的第一套流动VLBI系统——DCW—01型流动VLBI测量仪，目前已在国家重大科学工程“中国地壳运动观测网络”中投入使用。在流动VLBI的观测试验中，天线系统噪声温度和天线效率是观测前系统调试和检测的两项重要内容。天线系统噪声温度是衡量流动VLBI观测系统内部噪声程度的特性指标；天线效率反映了天线系统对到达天线能量的刊用率，在很多计算公式中是一个很重要的参数。因此，精确地测量它们的值是进行相关处理和计算的前提。文中结合我国流动VLBI观测站的研制与建设，介绍了流动VLBI测量仪的天线及接收机系统，并详细阐述了其天线系统噪声温度和天线效率的测量。     

闽东北地区夏季对流云特征的初步分析

利用新一代天气雷达资料分析闽东北地区夏季对流云的回波特征。分析表明:多单体合并对流云在生命史、回波高度、强度、尺度等方面都超过了单体对流云,其液态水总量也更大,自然降水条件和人工影响潜力都优于单体对流云,是夏季降水和人工催化的重要云系。分析得到对流云发展的不同阶段、不同高度层辐合辐散特点,为进一步研究夏季对流云结构和降水原理提供科学依据。通过对两个个例的天气形势分析,指出冷空气对对流发展有一定的激发作用。     

Elastic models for nonlinear response of rigid passive piles

Recent study indicates that the response of rigid passive piles is dominated by elastic pile–soil interaction and may be estimated using theory for lateral piles. The difference lies in that passive piles normally are associated with a large scatter of the ratio of maximum bending moment over maximum shear force and induce a limiting pressure that is ~1/3 that on laterally loaded piles. This disparity prompts this study. This paper proposes pressure‐based pile–soil models and develops their associated solutions to capture response of rigid piles subjected to soil movement. The impact of soil movement was encapsulated into a power‐law distributed loading over a sliding depth, and load transfer model was adopted to mimic the pile–soil interaction. The solutions are presented in explicit expressions and can be readily obtained. They are capable of capturing responses of model piles in a sliding soil owing to the impact of sliding depth and relative strength between sliding and stable layer on limiting force prior to ultimate state. In comparison with available solutions for ultimate state, this study reveals the 1/3 limiting pressure (of the active piles) on passive piles was induced by elastic interaction. The current models employing distributed pressure for moving soil are more pertinent to passive piles (rather than plastic soil flow). An example calculation against instrumented model piles is provided, which demonstrates the accuracy of the current solutions for design slope stabilising piles. Copyright © 2014 John Wiley & Sons, Ltd.     

Peatland initiation and carbon dynamics in northeast China: links to Holocene climate variability

Throughout northeast China, the widely distributed peatlands have formed a large carbon (C) pool. However, the relationship between peatland initiation and climate controls is still poorly documented and understood. Understanding the responses of these C‐rich ecosystems to past climate change will provide useful insights into projecting the fate of peatland C in the future. In this study, we present a detailed historical reconstruction of peatland development in northeast China based on 312 basal peat dates, and examine the relationship between Holocene peatland dynamics and climate sensitivity. Our results indicate that peatland initiation started in the early Holocene, and that the majority of peatlands were initiated by and developed during the late Holocene. After the most intensive initiation period of 4.2–0.8 ka, the rate of peatland development slowed, which was concomitant with decreasing insolation and monsoon intensity. The widespread peatland initiation in the late Holocene might have been caused by the cool and moist climate patterns. The optimum timing of the peatland development was not uniform across northeast China, and these spatio‐temporal differences indicate the influences of regional climate and terrain on peatland initiation. Peat‐core data show variations in the long‐term apparent rate of C accumulation (LORCA) during the Holocene, with an average rate of 37.2 g C m^?2 a^?1. The peak LORCA occurred during 10.5–9.0 ka, probably in response to higher temperatures and stronger East Asia summer monsoon intensities. Both temperature and humidity are important factors influencing the peatland initiation and C dynamics in this region.