CINRAD/SA(B)发射机触发器芯片级故障诊断流程

发射机触发放大器主要为调制器中SCR开关管提供放电触发脉冲,同时兼具调制组件的保护功能。发射机触发器芯片级故障诊断流程将触发器故障定位到芯片级,大大降低了触发器故障维修成本,同时为雷达测试平台中触发器故障自动诊断建模提供了技术支持。在发射机触发器信号流程基础上,依据发射机触发器关键点波形或关键点电平,通过触发器故障树图了解故障因果关系,研究出规范化的触发器芯片级故障诊断流程。列举了依据触发器芯片级故障诊断流程,修复了由于单稳态触发器无触发信号输出,导致无-200V放电触发信号的单稳态触发器故障个例。结果表明:芯片级触发器故障诊断流程可以快速定位发射机触发器故障点到最小可更换芯片。具有操作方法简洁、诊断思路清晰、操作规范,基层雷达站技术人员容易掌握的特点,可有效提高新一代天气雷达技术保障水平,保证雷达观测数据的可靠性。     

CINRAD/SA(B)发射机激励放大器芯片级故障诊断流程

激励放大器是发射机射频放大链电路前级功率放大器,对雷达探测资料可靠性具有重要作用。研究芯片级故障诊断流程,一方面可以解决台站技术保障人员无法故障定位到芯片级的技术难题;另一方面,芯片级故障维修可达到大大降低维修成本的目的。雷达故障一般分为参数调整不当导致性能下降故障和器件损坏造成参数异常故障。为此,通过总结出CINRAD/SA(B)发射机激励放大器信号流程、故障树图集,在依据同步信号时序关系及关键点波形参数基础上,研究出规范化的激励放大器调试技术和方法,以及激励放大器芯片级故障诊断定位流程,并列举了依据激励放大器芯片级故障诊断定位流程,修复激励放大器集成块N8损坏,导致+8 V电源不正常,造成激励放大器无功率输出,以及激励放大器的第二级功放模块故障导致激励放大器输出功率低的两个故障的典型个例,以检验维修效果。实际应用结果表明:芯片级激励放大器故障诊断定位流程可以快速定位发射机激励放大器故障点到故障器件,方法简洁、思路清晰、操作规范,基层雷达站技术人员容易掌握;激励放大器调试技术和方法,能解决激励放大器参数调整不当导致激励放大器性能下降故障,可有效提高新一代天气雷达技术保障水平。     

胡杨树轮δ13C记录的艾比湖地区夏季最高温度变化

摘要：艾比湖是新疆北部生态环境最为敏感和脆弱的地区,这里分布的大片长龄胡杨是过去气候变化良好的记录体。本文利用艾比湖东岸的胡杨树轮资料,分析其宽度和稳定碳同位素组成,建立了树轮宽度年表和δ^13C序列,并对δ^13C序列进行了校正处理。树轮参数的气候意义分析表明胡杨树轮宽度所含的气候信息较少,而树轮δ^13C校正序列与精河夏季高温显著负相关,为荒漠平原区树轮气候研究提供了新的资料。研究区夏季的高温超过了光合作用的适宜温度,降低光合作用速率（A）,而地下水埋深较浅,叶片气候导度（g）并没有因受到水分条件限制而减小,在以上两个因素的共同作用下,叶片内部二氧化碳浓度（Ci）升高,导致胡杨δ^13C与夏季高温负相关关系。建立了胡杨树轮δ^13C校正序列与精河夏季高温的转换方程,方差解释量为33．0％。重建的精河145a来夏季高温序列反映了这一地区气候变暖的趋势,其升温的幅度高于北半球夏季升温幅度,但二者冷暖阶段变化并不完全一致。     

MCAI课件的开发

介绍了开发多媒体计算机辅助教学课件《台风》的设计思想及过程，其中包括系统分析、结构设计、关键技术和课件实现等，为相关人员开发MCAI（Multimedia Computer-Assisted Instruction)课件提供了借鉴。     

决策树在遥感影像分类中的应用

在充分了解决策二叉树分类过程的基础上, 以西藏波密地区的TM遥感影像为研究对象, 提取并分析各种典型地物的反射光谱特征, 利用不同地物的光谱差异并结合人工目视判读建立了一组能够精确、快速划分遥感影像的分类规则。用ENVI建立分类决策树对实验区遥感影像进行分类, 并将分类结果和传统的最大似然法相比较。结果表明:决策树分类的总体精度和Kappa分别为97.15%和0.9644, 优于传统的最大似然法, 取得了较为满意的分类结果。     

Two modes of the silk road pattern and their interannual variability simulated by LASG/IAP AGCM SAMIL2.0

In this study, two modes of the Silk Road pattern were investigated using NCEP2 reanalysis data and the simulation produced by Spectral Atmospheric Circulation Model of IAP LASG, Version 2 (SAMIL2.0) that was forced by SST observation data. The horizontal distribution of both modes were reasonably reproduced by the simulation, with a pattern correlation coefficient of 0.63 for the first mode and 0.62 for the second mode. The wave train was maintained by barotropic energy conversion (denoted as CK) and baroclinic energy conversion (denoted as CP) from the mean flow. The distribution of CK was dominated by its meridional component (CK _y ) in both modes. When integrated spatially, CK _y was more efficient than its zonal component (CK _x ) in the first mode but less in the second mode. The distribution and efficiency of CK were not captured well by SAMIL2.0. However, the model performed reasonably well at reproducing the distribution and efficiency of CP in both modes. Because CP is more efficient than CK, the spatial patterns of the Silk Road pattern were well reproduced. Interestingly, the temporal phase of the second mode was well captured by a single-member simulation. However, further analysis of other ensemble runs demonstrated that the successful reproduction of the temporal phase was a result of internal variability rather than a signal of SST forcing. The analysis shows that the observed temporal variations of both CP and CK were poorly reproduced, leading to the low accuracy of the temporal phase of the Silk Road pattern in the simulation.     

公众气象服务支付意愿影响因素研究

基于中国气象局2008年调查数据,运用二分Logistic回归、最优尺度回归和判定树CRT模型分析了公众气象服务支付意愿的影响因素。结果表明：个体因素中年龄与文化程度对公众气象服务支付意愿（包括是否支付与支付多少）有显著影响,而性别因素只对支付多少有显著影响,对是否支付没有显著影响;收入因素对公众气象服务支付意愿有显著影响;关注程度、天气预报准确性、天气预报及时性、气象服务总体满意度对公众气象服务支付数额多少有显著影响,但影响程度很小;个体因素与收入因素对公众气象服务支付意愿影响程度较高,而心理因素影响程度很小。     

Classifier ensembles for land cover mapping using multitemporal SAR imagery

SAR data are almost independent from weather conditions, and thus are well suited for mapping of seasonally changing variables such as land cover. In regard to recent and upcoming missions, multitemporal and multi-frequency approaches become even more attractive. In the present study, classifier ensembles (i.e., boosted decision tree and random forests) are applied to multi-temporal C-band SAR data, from different study sites and years. A detailed accuracy assessment shows that classifier ensembles, in particularly random forests, outperform standard approaches like a single decision tree and a conventional maximum likelihood classifier by more than 10% independently from the site and year. They reach up to almost 84% of overall accuracy in rural areas with large plots. Visual interpretation confirms the statistical accuracy assessment and reveals that also typical random noise is considerably reduced. In addition the results demonstrate that random forests are less sensitive to the number of training samples and perform well even with only a small number. Random forests are computationally highly efficient and are hence considered very well suited for land cover classifications of future multifrequency and multitemporal stacks of SAR imagery.     

湖北省保康磷矿区开采面及固体废弃物遥感信息提取方法研究

统计分析了湖北保康磷矿区有关目标地物(道路、建筑物、坡耕地、植被、水体及阴影等)的SPOT 5影像特征,认为它们具有一定相似性和差异性,依赖单一的遥感分类方法难以实现对矿区开采面及固体废弃物信息的准确提取.采用决策树分类方法,设置一定的分类规则,结合数字高程模型和含矿地层等相关辅助数据,逐一对矿区相关地物进行分类,经分类结果后处理,分类精度达83.4%.     

地理要素的分布式空间近似查询处理方法

针对传统空间查询无法满足地理数据交互式可视化对处理时间要求的问题,以窗口查询为例,提出了一种空间近似查询处理方法。该方法包括预处理和查询两步:在预处理阶段,利用分布化的线简化算法对空间对象进行顾及误差的预处理采样,将采样过程及误差值用树型结构保存;在查询阶段,以豪斯多夫距离定义数据可视化的误差,进行误差可知的顶点即时采样与截取,从而实现针对可视化应用的高效的空间近似查询处理。在Hadoop集群上利用77GB的OpenStreetMap数据集进行了实验,证实了本方法的效力与效率。