聚类分析的伪距偏差特性研究

针对如何对由信号畸变导致的伪距偏差数据快速准确地进行判断分类这个问题,该文进行了分析研究,提出采用聚类分析中的K-medoids算法展开伪距偏差特性研究,实现信号畸变导致的伪距偏差自动判别.通过对实际观测数据的分析比较可以看出,引入聚类分析方法实现伪距偏差的自动判别比仅按照接收机厂商、接收机模型划分伪距偏差更加符合实际情况.由信号畸变导致的伪距偏差在全球卫星导航系统(GNSS)精密数据处理中至关重要,会对精密单点定位精度和收敛性能、电离层延迟提取等产生影响.随着卫星导航系统以及GNSS跟踪网的建设与完善,海量的基准站及丰富的接收机类型为GNSS精密处理带来了更多的挑战.引入聚类分析方法实现了伪距偏差的自动判别,对于卫星导航精密数据处理性能具有重要的意义.     

近地面成像光谱技术在水稻氮诊断方面的应用

传统的测量水稻氮含量的形态诊断法和化学分析法,不仅耗费了大量的人力、物力、财力,而且测量的结果也不够精确,并且得不到及时应用,很大程度上影响了水稻的生产和产量.而基于成像光谱技术对水稻进行的氮诊断,可以做到对水稻的无损坏和精确测量,降低了成本,节省了时间,氮的使用效率明显提高,同时产量也大幅度增加,做到了经济利益和生态效益的最大化.本研究是以4种氮素水平的水稻高光谱数据为数据源,经过利用平面场模型进行反射率转换和平滑等一系列的预处理,选出各类别的样本数据,提取出了水稻叶片反射光谱的敏感波段与植被指数等特征,发现最佳识别特征,从而根据识别特征建立决策识别模型,并且不断反复验证和修正模型,总体精度能够达到87.7％.     

基于高分影像的光伏电场自动化提取应用研究

随着高空间分辨率遥感影像数据急剧增多,传统的监测分类方法很难适应海量遥感数据的解译需求.本项目以宁夏中卫市沙坡头区光伏电场为例,通过设计适合遥感地物识别的卷积神经网络和构建目标样本的最佳特征表达,让计算机经过深度学习,具备观察和理解的能力,挖掘潜在的有用地物特征,实现光伏电场的自动化信息提取,并且验证了利用高分影像自动化提取的高效性和准确性.     

Turnover Frequency in Solar Microwave Bursts with an Extremely Flat Optically Thin Spectrum

Four microwave bursts have been selected from the Nobeyama Radio Polarimeter (NoRP) observations with an extremely flat spectrum in the optically thin part and a very hard spectral index between 0 and ?1 in the maximum phase of all bursts. It is found that the time evolution of the turnover frequency is inversely proportional to the time profiles of the radio flux in all bursts. Based on the nonthermal gyrosynchrotron theory of Ramaty (Astrophys. J. 158, 753, 1969), the local magnetic field strength and the electron spectral index are calculated uniquely from the observed radio spectral index and the turnover frequency. We found that the electron energy spectrum is very hard (spectral index 1?–?2), and the time variation of the magnetic field strength is also inversely proportional to the radio flux as a function of time in all bursts. Hence, the time evolution of the turnover frequency can be explained directly by its dependence on the local magnetic field strength. The high turnover frequency (several tens of GHz) is mainly caused by a strong magnetic field of up to several hundred gauss, and probably by the Razin effect under a high plasma density over \(10^{10}~\mbox{cm}^{-3}\) in the maximum phase of these bursts. Therefore, the extremely flat microwave spectrum can be well understood by the observed high turnover frequency and the calculated hard electron spectral index.     

城市轨道交通高架站雷击时磁场空间分布模拟

雷击建筑物引起的电磁干扰问题是建筑物雷电防护的重要研究课题。利用有限元法（FEM）模拟得到轨道交通高架站遭雷击时磁场空间分布并分析了其特征。给出了在IES电磁仿真软件中利用有限元法进行磁场数值模拟的方法,以北京市房山地铁线长阳高架站为例,通过建立模型、设定材料、施加激励源、网格剖分、后期处理等步骤,定量得到雷击时该高架站内的磁场分布数值,作出了磁场空间分布图,分析了所得磁场特征,确定了雷击磁场干扰的强度和范围,提出了对应的防护方法和措施。计算了采取屏蔽措施后的高架站磁场衰减及设备到引下线的安全距离。     

特殊建筑物雷击截收面积计算

从计算雷击截收面积的逻辑关系出发,以斜坡类建筑和圆顶形建筑两类特殊建筑为例,通过建立相关模型和数学公式,分析计算应从何位置按照何扩大宽度往外偏移能准确地求出截收面积。对于单檐斜坡类建筑、重檐建筑或古塔,根据房檐到屋脊（塔尖）的水平距离和垂直距离的关系,判断出应该按房檐还是屋脊（塔尖）偏移。对于圆顶形或椭圆顶形建筑,利用建筑屋顶的数学公式,建立了到圆心中轴线距离的数学公式,并对其求导数,得到了导数为0时点的横、纵坐标,此点即为偏移点位置,同时得到了对应的扩大宽度。利用AutoCAD偏移及求面积命令得到截收面积,为防雷设计及雷电灾害风险评估中雷击截收面积的准确计算提供参考。     

一次霾天气条件下石家庄上空大气气溶胶数浓度的飞行探测与特征分析

利用2010年8月30日河北省石家庄一次霾天气条件下的气溶胶飞行探测资料,分析了石家庄地区上空658—6933 m高度范围内大气气溶胶粒子平均数浓度、平均直径的垂直分布特征和9个水平飞行高度上的谱分布特征。结果表明:轻度霾天气条件下的气溶胶平均数浓度为325个/cm3,平均直径为0.169μm。在约1000 m高度以下,气溶胶平均数浓度随高度的增加呈线性减少趋势。粒径也随高度增加而减小,由0.187μm减小至0.164μm。1000 m高度以上,气溶胶平均数浓度随高度减少趋势变缓,粒子平均直径在0.167~0.171μm范围内波动。9个不同高度上的谱分布都呈单峰型,随着高度增加,谱宽变小,峰值向小尺度方向移动。后向轨迹计算分析表明:污染气团的远距离输送可能是导致大气1500 m高度层气溶胶数浓度突增的原因。     

Performance of the seasonal forecasting of the Asian summer monsoon by BCC_CSM1.1(m)

This paper provides a comprehensive assessment of Asian summer monsoon prediction skill as a function of lead time and its relationship to sea surface temperature prediction using the seasonal hindcasts of the Beijing Climate Center Climate System Model, BCC_CSM1.1(m). For the South and Southeast Asian summer monsoon, reasonable skill is found in the model's forecasting of certain aspects of monsoon climatology and spatiotemporal variability. Nevertheless, deficiencies such as significant forecast errors over the tropical western North Pacific and the eastern equatorial Indian Ocean are also found. In particular, overestimation of the connections of some dynamical monsoon indices with large-scale circulation and precipitation patterns exists in most ensemble mean forecasts, even for short lead-time forecasts. Variations of SST, measured by the first mode over the tropical Pacific and Indian oceans, as well as the spatiotemporal features over the Niño3.4 region, are overall well predicted. However, this does not necessarily translate into successful forecasts of the Asian summer monsoon by the model. Diagnostics of the relationships between monsoon and SST show that difficulties in predicting the South Asian monsoon can be mainly attributed to the limited regional response of monsoon in observations but the extensive and exaggerated response in predictions due partially to the application of ensemble average forecasting methods. In contrast, in spite of a similar deficiency, the Southeast Asian monsoon can still be forecasted reasonably, probably because of its closer relationship with large-scale circulation patterns and El Niño-Southern Oscillation.