边角后方交会在高铁板式无碴轨道放样中的应用

智能型全站仪结合边角后方交会原理在高速铁路测量工作中得到广泛应用,其在CPⅢ高精度铺轨控制网的基础上进行自由重叠设站的精度能满足高铁测量的精度要求。在板式无碴轨道底板放样和轨道板安装时,可以根据仪器误差参数计算得出每个测站进行放样时误差不超限的最远放样距离,供测量人员参考。     

基于CORS系统的网络RTK技术在控制测量中的应用

阐述了CORS系统的基本原理、组成和定位模式,详细叙述了基于CORS系统的网络RTK技术在控制测量中的应用步骤,由此可见,基于CORS系统的网络RTK技术值得推广应用。     

达州独立坐标系平面控制网测量方法探讨

达州市独立坐标系GNSS网测量中,联测6个IGS参考站点,按B级网的要求解算出了4个控制点在CGCS2000椭球下的独立坐标,并将此作为GNSS控制网的起算数据对剩余23个GNSS控制点进行了平差处理,经过实例分析,该方法可以满足独立坐标系建立要求。     

大尺寸高精度三维控制网技术探讨

空间大尺寸机构的位置和姿态测量是诸多领域中不可或缺的必要环节。而传统的一维测量技术在精度、范围和速度上已经无法满足越来越高的需求,因此必须探索新的测量技术和方法。激光跟踪仪的单站坐标测量精度在局部范围内能够达到几十个微米量级,如果要在大尺度空间内同样实现该坐标测量精度,则需要建立全局的精密三维控制网。为了解算控制点全局坐标以及测站的位置和姿态参数,文中基于边角观测值和坐标转换模型建立了激光跟踪仪三维边角网整体平差模型。平差过程中,为了削弱激光跟踪仪测角误差的影响,建立了合理的角度和距离观测值权矩阵,为高精度距离观测值赋予较大的权值,从而对其进行约束。将该方法应用于宝钢不锈钢冷轧厂生产线的安装检测和轧辊轴线平行度测量,基于激光跟踪仪自由设站理论实现大尺寸精密三维控制网的建立,取得了良好效果。     

Linking pesticides and human health: A geographic information system (GIS) and Landsat remote sensing method to estimate agricultural pesticide exposure

Accurate pesticide exposure estimation is integral to epidemiologic studies elucidating the role of pesticides in human health. Humans can be exposed to pesticides via residential proximity to agricultural pesticide applications (drift). We present an improved geographic information system (GIS) and remote sensing method, the Landsat method, to estimate agricultural pesticide exposure through matching pesticide applications to crops classified from temporally concurrent Landsat satellite remote sensing images in California. The image classification method utilizes Normalized Difference Vegetation Index (NDVI) values in a combined maximum likelihood classification and per-field (using segments) approach. Pesticide exposure is estimated according to pesticide-treated crop fields intersecting 500 m buffers around geocoded locations (e.g., residences) in a GIS. Study results demonstrate that the Landsat method can improve GIS-based pesticide exposure estimation by matching more pesticide applications to crops (especially temporary crops) classified using temporally concurrent Landsat images compared to the standard method that relies on infrequently updated land use survey (LUS) crop data. The Landsat method can be used in epidemiologic studies to reconstruct past individual-level exposure to specific pesticides according to where individuals are located.     

灞河流域非点源污染最佳管理措施模拟研究

运用SWAT模型对水土保持、减少化肥农药施用量、减少表层土壤施肥量比例、退耕还林及综合措施对于不同非点源污染在灞河流域的消减效果进行了模拟。结果表明:(1)水保措施对N、P、DDT的削减效果最高可达44.4%,相对而言对于溶解磷的削减效果不是很明显。(2)减少施肥量措施对溶解P、总P、NO3-N的削减率相对较高,而对于其它指标的削减效果不是很明显;减少农药施用量措施对DDT的削减效果较好,削减率可达50.92%。(3)减少表层土壤施肥量占总施肥量的比例措施对溶解P、总P的削减效果较为明显,而对于其它指标的削减效果不是很明显。(4)退耕还林措施对于各项指标都有着明显的削减作用。(5)综合措施对于各项指标均有着很好的削减作用,总体看来综合措施可大大减少流域内的非点源污染负荷,对于改善流域水环境质量可起到巨大的作用。研究为灞河流域非点源污染最佳管理措施的实施提供了明确实际的决策支持。     

基于复杂性理论的城市经济网络研究进展与展望

城市经济网络的研究借鉴了复杂性理论的分析方法,能更细致地刻画城市网络的空间格局。现有的大量研究仍沿袭城市体系空间结构的思路,注重城市的竞争和位序关系以及城市网络的中心性,未能充分体现城市经济网络和城市体系空间格局的差异。本文通过对基本文献的梳理,从复杂性理论的视角将城市经济网络研究的发展历程分为3个阶段:20世纪40年代前的基础理论构建阶段;50-90年代的发展创新突破阶段以及21世纪以来的多元繁荣发展阶段。目前,城市经济网络研究的热点领域包括城市经济的拓扑结构和空间拟合、全球城市联系的范围测算和质量评价;城市经济网络结构的动力学影响以及城市经济网络的安全管控和功能优化。未来要关注大数据时代的数据整合和挖掘,构建城市经济网络的整体研究框架。     

Tectonic control of accommodation space and sediment supply within the Mata Amarilla Formation (lower Upper Cretaceous) Patagonia,Argentina

The Mata Amarilla Formation dates from the early Upper Cretaceous and was deposited during a transition in tectonic regime from the extensional Rocas Verdes Basin to the Austral Foreland Basin. Detailed sedimentological logs and architectural parameters were used to define 13 facies associations. The distribution of facies associations and associated variations in fluvial architecture have enabled large‐scale changes in accommodation space/sediment supply ratios (A/S ratio) to be defined for the three component sections of the Mata Amarilla Formation. The lower and upper sections are characterized by a high A/S ratio, whereas the middle section corresponds to a low A/S ratio. In the western part of the study area, small‐scale variations in the A/S ratio were recognized in the middle section. The strong west to east trend in evolution of the fluvial systems coincides with the direction of propagation of the Patagonian fold and thrust belt, which is located to the west of the study area. Intervals of high A/S ratio (i.e. lower and upper sections) are interpreted to have developed during periods of increased loading by the fold and thrust belt caused by tectonic uplift. In contrast, intervals of low A/S ratio (i.e. middle section) were developed during periods of tectonic quiescence. This article suggests that the large‐scale variations in A/S ratios are related to different rates of migration and growth of the Patagonian fold and thrust belt, whereas the small‐scale variation occurred in response to specific periods of thrusting and folding in the Patagonian fold and thrust belt (i.e. local loads). This field example of the effects of different scales of variation in A/S ratios across the Austral Foreland Basin could be used to recognize similar tectonically forced variations in stratigraphic architecture in other foreland basins throughout the world, as well as to understand the response of fluvial systems to such changes.     

分布式传感器网络系统的网络预测控制

本文针对分布式传感器网络系统的Fornasini-Marchesini （FM）状态空间模型,对系统的预测控制器设计问题进行研究.特别是针对所考虑的二维FM传感器网络系统,提出了一种新的网络预测控制方案来补偿通信时滞.首先,根据李雅普诺夫稳定性理论,给出了二维系统保持稳定的充分条件;然后利用稳定性条件,提出了一种新的预测控制器设计策略并保证系统的控制性能;最后,通过一个数值实例验证了所设计控制器的有效性.     

A Spatial Consistency Quality Control Method for Daily Surface Temperature Observations

A new spatial consistency quality control method (SRF) based on the spatial regression test (SRT) and random forest (RF) was adapted to identify potential outliers in daily surface temperature observations in this article. For the new method, the SRT method was used to filter the data and the RF method was used to conduct regression. To evaluate the performance of the quality control method, the SRF, SRT and RF methods were applied to a surface temperature dataset with seeded errors from different regions of China from 2005 to 2014. Compared to SRT and RF, the results indicate that the SRF method outperforms the other two methods for the most cases. And the results of the comparison led to the recommendation that the SRF method improves the regression accuracy of traditional spatial consistency quality control methods and reduces the runtime of random forest through data refinement.