Dark energy model in anisotropic Bianchi type-III space-time with variable EoS parameter

A new dark energy model in anisotropic Bianchi type-III space-time with variable equation of state (EoS) parameter has been investigated in the present paper. To get the deterministic model, we consider that the expansion θ in the model is proportional to the eigen value s² ₂\sigma^{2}_{~2} of the shear tensor s^j _i\sigma^{j}_{~i}. The EoS parameter ω is found to be time dependent and its existing range for this model is in good agreement with the recent observations of SNe Ia data (Knop et al. in Astrophys. J. 598:102, 2003) and SNe Ia data with CMBR anisotropy and galaxy clustering statistics (Tegmark et al. in Astrophys. J. 606:702, 2004). It has been suggested that the dark energy that explains the observed accelerating expansion of the universe may arise due to the contribution to the vacuum energy of the EoS in a time dependent background. Some physical aspects of dark energy model are also discussed.     

Analysis of spatial clustering optimization

Spatial clustering is widely used in many fields such as WSN (Wireless Sensor Networks), web clustering, remote sensing and so on for discovery groups and to identify interesting distributions in the underlying database. By discussing the relationships between the optimal clustering and the initial seeds, a clustering validity index and the principle of seeking initial seeds were proposed, and on this principle we recommend an initial seed-seeking strategy: SSPG (Single-Shortest-Path Graph). With SSPG strategy used in clustering algorithms, we find that the result of clustering is optimized with more probability. At the end of the paper, according to the combinational theory of optimization, a method is proposed to obtain optimal reference k value of cluster number, and is proven to be efficient.     

HITRAN数据库对卫星1.6 μm通道CO2辐射传输特性计算的影响

卫星遥感器中的CO21.6μm弱吸收带通道测量信号可以反映CO2的近地层浓度分布,是温室气体卫星反演的重要通道之一。HITRAN数据库是建立卫星遥感CO2浓度算法依赖的重要分子光谱参数数据库,目前已经更新到了2012版,不同版本中大气分子谱线参数存在差异。本文利用逐线积分模式LBLRTM,研究了最近3个版本HITRAN数据库(04、08、12版)在CO2的弱吸收带通道上大气光学厚度、透过率的差异,发现04版计算的气体光学厚度普遍偏高,可对CO2造成约38 ppm的低估;08版本得到的气体光学厚度与12版本接近,反演相差2 ppm以内。在此基础上,分析了不同HITRAN数据库对整层CO2变化和近地层CO2变化的敏感性,结果表明:04版对整层和近地面大气的变化敏感性最强,并且放大了近地层信号;08版与12版对整层或近地层CO2的敏感度接近,两者经过卷积后得到的信号无差异。     

Simulating the moderating effect of a lake on downwind temperatures

A steady-state, two-dimensional numerical model is used to simulate air temperatures and humidity downwind of a lake at night. Thermal effects of the lake were modelled for the case of moderate and low surface winds under the cold-air advective conditions that occur following the passage of a cold front. Surface temperatures were found to be in good agreement with observations. A comparison of model results with thermal imagery indicated the model successfully predicts the downwind distance for which thermal effects due to the lake are significant.     

基础地理信息应用服务研究

本文全面、系统地分析了基础地理信息在地理信息产业中的作用、基础地理信息的各种应用，并在此基础上提出了基础地理信息的服务策略。     

泰国水稻种植面积月变化的遥感监测

介绍了光学和微波遥感影像相结合进行泰国水稻种植面积监测方法。泰国雨季雨量充足 ,气温适合 ,同一时间耕地上水稻的物候多样 ,每月水稻种植面积都发生变化。利用旱季的TM影像 ,获得耕地信息。同时利用TM影像覆盖的雷达区域进行非耕地去除 ,进行非监督分类 ,提取反映水稻种植不同生长期的雷达影像后向反射系数特征 ,建立各种类型的分类模型 ,采用监督分类的方法对全景雷达数据进行水稻种植情况调查 ,并分别予以识别和统计 ,反映研究区水稻月种植情况。分类结果通过类别检验和面积量算检验进行精度评价和分析。     

利用GPS反解大气水汽含量

介绍地基和空基ＧＰＳ气象技术,简要讨论了ＧＰＳ遥感大气水汽含量对误差源。     

工业测量系统在多波束天线安装检测中的应用

根据多波束天线测量和检测的实际情况 ,主要介绍了多波束天线的数学模型、解算方法、测量方案的设计以及调整量的计算等问题。最后对实测结果进行了分析。