北斗系统GEO/IGSO/MEO卫星观测信息随机特性评估与分析

首先从参数估计、精度评定和质量控制角度论证了在精密定位中随机模型的重要性;然后基于短基线单差观测模型,采用严密的方差分量估计方法计算了不同频率、不同卫星的相位和伪距观测值精度,任意频率之间的交叉相关性以及不同频率的相位和伪距观测值在不同时间间隔上的时间相关性;随后分析了随机模型对基线精度和整体检验统计量的影响。结果表明：北斗用户接收机数据精度都与高度角相关,建议采用高度角指数加权函数;北斗二号3个频率相位观测值之间存在不同程度的相关性,其他类型观测值之间的交叉相关性不明显,不同频率的相位和伪距观测值时间相关性较明显,高精度应用中需关注。另外,正确的随机模型计算的基线精度更接近理论精度。本文为用户正确认识北斗系统3个类型卫星观测信息、正确使用北斗系统提供支撑。     

IMU/GPS组合导航系统自适应Kalman滤波算法

给出了IMU在地固坐标系中的误差方程，介绍并分析了自适应滤波和渐消Kalman滤波算法原理，然后将渐消因子引入到自适应滤波算法中。并将其应用到IMU／GPS松组合导航系统中，最后利用一个实际算例证明了该组合导航系统的有效性。     

An Optimal Adaptive Kalman Filter

In a robustly adaptive Kalman filter, the key problem is to construct an adaptive factor to balance the contributions of the kinematic model information and the measurements on the state vector estimates, and the corresponding learning statistic for identifying the kinematic model biases. What we pursue in this paper are some optimal adaptive factors under the particular conditions that the state vector can or cannot be estimated by measurements. Two optimal adaptive factors are derived, one of which is deduced by requiring that the estimated covariance matrix of the predicted residual vector equals the corresponding theoretical one. The other is obtained by requiring that the estimated covariance matrix of the predicted state vector equals its theoretical one. The two related optimal adaptive factors are given. These are analyzed and compared in theory and in an actual example. This shows, through the actual computations, that the filtering results obtained by optimal adaptive factors are superior to those obtained by adaptive factors based on experience.     

Integrated data processing method for GPS and INS field test over Rocky Mountain

IntroductionGPS/INS integrated system exploited the INSand differential GPS pseudo-range and carrierphase technique to promote the accuracy of thedynamic platform navigation and positioning,and increase the reliability and stabilization.Incalculation, Kal…     

华北地台北缘三种有潜力的金矿及其找矿方向

华北地台北缘是我国一个巨型金成矿带。成矿作用主要受控于前寒武纪的结晶基底、区域性的深大断裂带和火山-岩浆活动。海西晚期-燕山期的构造岩浆活动是本区的最重要控矿因素。与构造岩浆活动有关的金矿类型,尤其是其中的特殊类型和新类型,具有巨大的找矿潜力。以下三种分布广泛、类型特殊、工作程度不足的金矿床会在将来的勘查工作中有更多的发现:1.浅成低温热液型金矿床(与花岗斑岩有关);2.斑岩型金矿床,矿体赋存于花岗斑岩和花岗质侵入岩中;3.与碱性岩有关的金矿床。     

赣江流域多种数据同化方案的径流模拟比较

为了探讨水文模型在不同水文数据同化方案下的径流模拟差异,本文采用集合卡尔曼滤波算法,以遥感蒸散发产品、实测径流为观测数据,构建了基于新安江模型的数据同化框架。基于此框架设计了4种不同同化方案(DA-ET、DAET(K)、DA-ET-Q、DA-ET-Q(K))以及1种对照方案OL,以赣江流域开展实例研究,评估了水文数据同化中遥感蒸散发产品的时间分辨率、模型蒸散发相关参数时变与否以及多源数据同化对径流模拟的影响。结果表明:在DA-ET方案下,同化两种不同时间分辨率的蒸散发产品均能提高模型整体的径流模拟精度,且时间分辨率更高的产品的同化效果更好;在DA-ET方案的基础上,考虑加入实测径流进行同化能够提升模型径流模拟精度,且DA-ET(K)与DA-ET-Q(K)方案所得径流相对误差的减幅均超过了20%,说明在蒸散发同化过程中同时考虑蒸散发参数动态变化的结果更优;相较于OL方案,4种同化方案均能不同程度地提高模型对径流高水部分的模拟能力,但DA-ET-Q(K)方案表现最差,而其余方案差异并不显著。本研究有助于进一步了解不同数据同化方案在径流模拟中的差异,从而为水资源高效利用与科学管理提供科学依据...     

吉林省限制开发区域绿色发展格局演变及障碍因素识别

以吉林省限制开发区域为实证研究区域,基于2005、2010、2015、2017年各市（州）的截面数据,从绿色增长、绿色福利、绿色财富3个维度构建绿色发展指标体系,运用熵权-TOPSIS模型、障碍度模型等方法,探究吉林省限制开发区绿色发展水平的时空演变特征及障碍因素。结果表明： ① 2005-2017年吉林省限制开发区绿色发展水平呈现“N”字型波动上升的时序演化特征,总体上绿色发展水平上升较慢。② 吉林省限制开发区绿色发展水平存在明显的空间分异特征,总体呈现东部高,中、西部低的特征,且两级分化特征更加明显。③ 人均工业增加值、第二产业产值比重、建成区绿化覆盖率、每万人拥有普通高等学校人数、人均水资源量、城市生活污水处理率是研究期内制约吉林省限制开发区绿色发展水平提升的主要指标层障碍因子。     

层状岩体的成因及成矿作用

层状岩体的典型特征是其具有层状构造和韵律结构。层状镁铁质岩体不仅是研究岩浆分异演化过程和地壳混染作用的最佳天然实验室,其中还广泛赋存重要的稀有金属和贱金属矿床。文中主要总结了不同类型层状岩体形成的构造背景、基本特征、母岩浆特征和韵律层理成因,以及岩浆混合和地壳混染在岩浆演化过程中起到的重要作用。文中还介绍了层状岩体中典型矿床的成矿作用与岩浆演化过程的成因联系。     

Variation in canopy conductance of Cunninghamia lanceolata forest and its response to environmental factors after an extreme rainfall event

Canopy conductance (g_c) is a crucial parameter in simulating evapotranspiration and modulating water exchange, but its variation mechanism has regional uncertainties and complex environmental co-controls. In addition, the effect of extreme rainfall on g_c cannot be ignored under the changing climate. Here, we investigated the variation and environmental controls on g_c and the effect of extreme rainfall events in a Cunninghamia lanceolata forest across the subtropical area of Southern China. In July 2020, an extreme rainstorm hit the source area of the Xin'an River, with the cumulative rainfall on July 7 and 8 reaching 216.6 mm. The thermal diffusion probe method was used to measure the density of sap flow, and the environmental factors such as air temperature (T_a), net solar radiation (R_n) and soil water content (SWC) were monitored during the growing seasons of 2020 and 2021. Ultimately, g_c obtained by the Penman-Monteith equation was adopted since the result from the Köstner equation was overestimated. g_c showed a unimodal curve on the diurnal scale, and this characteristic was more obvious after the extreme rainfall. Daily g_c appeared a fluctuating pattern with a maximum in summer. g_c was simultaneously affected by T_a, R_n, water vapour pressure difference (VPD), SWC, among which T_a was the most significant driving factor at both the diurnal and daily timescales. The regulation of T_a, VPD and SWC on g_c had obvious thresholds, and the most definite response mode was VPD (2020: 1.25 kPa; 2021: 0.95 kPa). SWC and T_a were the dominant factors after the rainfall period, and the promotion effect of VPD on post-rainy days turned to inhibition effect on typical sunny days. These findings will further reveal the water exchange mechanism between atmosphere and vegetation and impacts of environmental factors in subtropical coniferous forests, especially after the extreme rainfall events.     

Application of Adaptive Kalman Filtering Algorithm in IMU/GPS Integrated Navigation System

The IMU(inertial measurement unit) error equations in the earth fixed coordinates are introduced firstly. A fading Kalman filtering is simply introduced and its shortcomings are analyzed, then an adaptive filtering is applied in IMU/GPS integrated navigation system, in which the adaptive factor is replaced by the fading factor. A practical example is given. The results prove that the adaptive filter combined with the fading factor is valid and reliable when applied in IMU/GPS integrated navigation system.