地理信息系统支持下的坡面太阳辐射计算

本文介绍了在地理信息系统(GIS)的空间数据席支持下的区域坡面太阳辐射计算方法。使用该方法,可用计算机按地表实际的地形参数计算山区地表接受太阳总辐射,直接辐射和散射辐射的日、月、年总量,揭示其空间分布规律。这对区域的自然与生态环境研宄具有更要价值。     

地球系统科学与数字地球

数字地球将为地球系统科学研究带来研究方法,研究手段和信息获取渠道的革命,因对地观测和数据资源共享技术的发展将使传统的野外地学作业逐步走向现代化,从而使地球系统科学的建立真正成为可能。     

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.     

青藏铁路格尔木拉萨段的铁路沙害

青藏铁路格尔木拉萨段沿线分布着大量的风沙病害,特别是在所横跨经过的长江源区各河流附近、退化草原及滨湖地带。文内对线路所经风沙地段的自然条件、分布范围、沙害成因和工程防护措施效果进行了分析阐述,并对铁路沙害的长远防治,诸如完善工程防护措施、植物固沙、设置线路保护区等提出了进一步配套完善的建议。     

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。     

BDS-3新频点单点定位研究

针对目前有关北斗卫星导航系统(BDS-3)中MEO卫星(BDS-3M)增加的B1C、B2a新频点单点定位研究较少的现状,本文开展了基于新频点B1C、B2a的双频单点定位试验,结合国际GNSS监测评估系统(iGMAS)5个跟踪站连续10 d的数据,对BDS-3的新频点进行数据质量分析、双频伪距单点定位(SPP)和双频静态...     

北斗卫星导航系统双差动力法精密定轨及其精度分析

针对GEO卫星切向轨道分量与双差模糊度强相关的问题,对经典双差动力法进行了改进,提出联合使用载波相位和相位平滑伪距实现北斗系统精密定轨,并从理论上分析了以上处理策略的可行性及对模糊度固定的影响,然后结合北斗系统精密定轨特点,推导给出了利用QIF方法实现北斗卫星双差模糊度固定的基本原理,实测数据分析表明:联合载波相位和相位平滑伪距,既可降低相关性,又可兼顾精度,定轨效果优于经典双差动力法;利用QIF方法能够取得一定的模糊度固定效果,但受观测条件限制,北斗卫星双差模糊度固定成功率整体不高,双差模糊度固定之后对轨道的改进作用有限。