观测时间对基线解算质量和GPS网精度的影响分析

在不同的观测时段,卫星的几何分布情况及其运动轨迹并不一样,这直接导致各时段内所获得的基线解算质量和GPS定位精度也有区别。采用LGO软件进行基线向量解算和网平差,并通过复测基线长度较差、异步环闭合差、点位中误差、GPS基线向量残差4项指标来比较不同观测时间长度下的基线解算质量和定位精度。结果表明,观测时间在1h左右就可以获得较高的精度。在选择较好的观测时段后,在满足测量精度的前提下,适当缩短观测时间是可行的．这对于在工程测量中提高工作效率具有一定的指导意义。     

具有抵偿面的GPS基线向量网任意带高斯投影模型研究

通过GPS技术获取的空间基线向量和坐标信息是建立在WGS-84坐标系下的,无法直接应用于工程实际。因此使用GPS基线向量网必须将其从WGS-84坐标系转换到测区的平面坐标系统中,这就需要构造一个具有抵偿面的任意带高斯投影模型,来控制和减小边长投影变形。     

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Doing Research on Eclipsing Binary Stars with Small Telescopes and PC computers

Astronomical research with a small telescope (20 cm – 40 cm) has always been a challenging problem. The invention of CCD cameras and personal computers has now put this question to past as small telescopes can do good and practicle science. This paper describes the use of small telescope in the study of eclipsing binary stars. Binary stars play an important role as astrophysical laboratories in our quest to understand the evolution and structure of stars. The most useful aspects of research with a small telescope in binary star research is; 1) as a viable teaching laboratory for begining students 2) to teach and learn the fundamental observational techniques that are common to many types of astronomical research areas 3) as a starting point to initiate research programs in observational astronomy, optics, instrumentation, computational astrophysics and 4) as a foundation to develop an infrastructure and technical know how for larger telescope facility. This revised version was published online in July 2006 with corrections to the Cover Date.     

单基准线向量解算法在GPS变形监测中的应用

GPS测量目前在三峡库区变形监测应用较为广泛,但常规数据处理中,网平差这一步骤导致了因某点测量误差偏大而导致的整个监测网中其他监测点测量误差偏大,为解决这一问题,介绍了单基线向量解算法,并利用该方法对长屋滑坡2005年3月-2007年3月的监测点数据进行解算,提出了该方法能减少测量误差和内业工作量,并能运用于实际工程。     

三级GPS大地控制网观测数据质量检测

介绍了观测数据质量检测在三级GPS大地控制网施测中的重要作用以及观测数据质量检测方法.在此基础上,给出了观测数据质量检测的各种不同指标的定义,并讨论了相互关系;利用TEQC(Translate Edit Quality Check)软件对三级GPS大地控制网青海测区48个测点实测数据进行了质量检测,并结合基线解算结果进行了统计分析.     

执行2009版《全球定位系统(GPS)测量规范》若干问题的研究

结合技术人员在执行《全球定位系统(GPS)测量规范》(GB/T18314—2009)时的不同理解和认识,通过对基线测量中误差、环闭合差、相邻点基线分量中误差和GPS网平差技术指标等的计算与实现,进行了理论分析和实践探讨,得出规范可以得到较好执行的结论。     

不同分布模式电离层对星载InSAR测高精度的影响及校正

电离层总电子含量(TEC)会使合成孔径雷达干涉测量(In SAR)信号产生相位延迟,进而影响生成DEM的精度,特别是对L和P等长波段信号的影响不可忽略。因此,针对不同TEC分布模式的电离层开展研究,构建了电离层对星载In SAR测高精度的影响模型,提出了相应的校正方法,并进行了仿真实验。实验表明对于特定波长的In SAR信号,不同TEC分布模式对In SAR测高精度的影响不同:TEC均匀分布的电离层模型对In SAR测高精度的影响较小,并可通过相位解缠、基线估计等环节进行很好的补偿;而TEC不均匀分布的电离层模型对In SAR精度的影响较大,仅靠相位解缠等过程不能较好地消除,必须通过向干涉图中加入电离层影响模型予以纠正。     

Using simulated data to investigate the spatial patterns of obesity prevalence at the census tract level in metropolitan Detroit

Obesity is a serious public health problem in the United States. It is important to estimate obesity prevalence at the local level to target programmatic and policy interventions. It is challenging, however, to obtain local estimates of obesity prevalence because national health surveys such as the Centers for Disease Control and Prevention (CDC) Behavioral Risk Factor Surveillance System (BRFSS) are not designed to produce direct estimates at the local levels (e.g. census tracts) due to small population samples and the need to preserve individual confidentiality. In this study we address the problem of estimating local obesity prevalence rates by implementing a spatial microsimulation modeling technique to proportionally replicate the demographic characteristics of BRFSS respondents to census tract populations in metropolitan Detroit. Obesity prevalence rates are examined for high and low spatial clusters and studied in relation to the U.S. Department of Agriculture's (USDA) measures of low-income neighborhoods and local food deserts and CDC's measure of healthy and less healthy food environments currently used to target obesity reduction initiatives. This study found that obesity prevalence was largely clustered in the City of Detroit extending north into contiguous suburbs. The spatial patterns of highest obesity prevalence tracts were most similarly aligned with USDA-defined low-income tracts and CDC's less healthy food tracts. The locations of USDA's food desert tracts rarely overlapped with the highest obesity prevalence tracts. This study demonstrated a new methodology by which to assess local areas in need of future obesity interventions.     

基于SBAS时序分析的大同地面沉降与地下水活动研究

大同盆地是汾渭盆地北端一个地面沉降较严重的区域,地下水开采是该区域地面沉降发生的一个重要原因。然而地下水活动与地面沉降在空间和时间的相关性却鲜有研究。为了掌握该地区地下水活动与地面沉降的内在联系,该文基于Envisat ASAR数据,利用短基线集(small baseline subset,SBAS)-In SAR技术对大同盆地地面沉降形变特征进行监测;同时利用地下水位监测数据,研究地面沉降中心与地下水位漏斗在空间和时间上的对应关系,定量分析2处地下水位波动与地表形变的关系。研究表明,地下水开采是大同盆地水源地地面沉降的主要原因,但并非所有的地下水位漏斗都存在地面沉降。该研究成果对指导该地区地下水开采及控制地面沉降有一定参考价值。