首都圈及其邻近地区电磁辐射映震效果研究

首都圈及共附近地区多年观测的电磁辐射资料表明,地震电磁辐射异常与３００ｋｍ范围内５级以上地震,２００ｋｍ范围内４．５～４．９极地震和１００ｋｍ范围内４．０～４．４级地震具有比较明显的对应关系,其变化规律和映震特点是震中距愈小,地震愈大,信息持续时间愈长,异常幅度也愈大;异常面积（即异常台站数）与地震大小成正相关。统计表明,中等以上地震与异常信息对应率约７６％。     

Progress in the Development of a High Performance Airborne Digital Sensor

Joint development work by LH Systems and Deutsches Zentrum für Luft- und Raumfahrt (German Aerospace Center) has produced encouraging results using forward, nadir and backward looking linear arrays on the focal plane to provide panchromatic imagery and geometric information, supplemented by further arrays to acquire multispectral imagery suitable for both high precision photogrammetric mapping and image processing for interpretative purposes. The geometric characteristics of line scanner imagery necessitate line-by-line rectification for aircraft tilts and shifts. Satisfactory execution of this process is enhanced by using supplementary data from high performance, on-board GPS and inertial measurement systems. Similarly, high demands are placed on other sub-systems, such as the camera mount, lens, electronics and storage technology. In addition to rectification for aircraft tilts and shifts, rectification for terrain characteristics is also required in order to generate colour and false colour composite images, since the various multispectral arrays are in different places on the focal plane. The special geometry affects triangulation. Thereafter, the imagery can be processed using existing software packages from both photogrammetry and remote sensing.
The concept has been demonstrated in several successful test flights and the production model is scheduled for market introduction at the ISPRS Congress in July 2000. The imagery from the new sensor will fulfil many market requirements between the highest resolution film imagery (<0.1 m) and high resolution space imagery (1m to 10 m). The sensor's unique blend of multispectral information with high quality geometric information will give rise to numerous new applications.     

高压密封舱与磁场传感器的综合频响变异及其实验验证

大地电磁测深在陆地上的方法技术成熟, 但将其移植到海洋中却遇到了较多的技术问题.其中之一是如何将磁场传感器运抵海底实施测量.为抵御海水的侵蚀和抗衡海下的环境压力, 需要研发装载磁场传感器的密封舱.该舱体需满足测磁的技术要求, 即制造材料的非磁性, 且兼顾海洋作业设备轻便的特点.LC4超硬铝合金在可选的材料中性价比居高, 然而用它制成的高压密封舱并非十分完美.因它的弱磁性, 使得磁场传感器装入舱体后, 整体频率响应发生了部分变异.这种变异虽不影响磁场传感器的使用, 但要对其规律特征予以测定, 方能剔除由此产生的对磁场测量的不良影响.在所构思的实验装置中, 通过人为产生扫频磁场, 对密封和非密封条件下的磁场传感器进行激励.在响应输出端, 测取幅频特性和相频特性, 获得归一化的对比资料和频响异常曲线, 从而对密封前后磁场传感器的性能变化有较清楚的认识.实验结果揭示, 由高压密封舱引起的频响变异发生在中高频区段.实验数据可作为标定资料, 对海底大地电磁探测的实测信号进行校正后, 即可还原出真实的海底场源信息.      

一种被动柔顺水下手爪的研究

本文设计一种用于水下搜索、抓取物体的机械手爪,该手爪为二指结构,集成了一套三自由度被动柔顺机构和两个接触传感器,可以适应与作业对象之间不同姿态的抓取,弥补了单自由度手爪作业能力的不足。     

基于Landsat TM/ETM数据的锡林河流域土地覆盖变化

根据1987年、1991年、1997年和2000年4期Landsat TM/ETM影像的土地利用/土地覆盖分类结果,运用地理信息系统空间分析方法,分析了内蒙古锡林河流域1987~2000年间各土地利用类型及草甸草原、典型草原、荒漠草原的数量变化和空间变化特征。分析结果显示,锡林河流域土地利用/土地覆盖变化的主要特征为草甸草原、典型草原面积的大幅减少和荒漠草原、农田和沙漠化土地面积的大幅增加及城镇的扩张。其中面积增加最大的是荒漠草原,增加了2328 km²;相当于1987年荒漠草原面积的56 %。农田和城镇面积逐年增大,分别从1987年的114.3 km²和25.2 km²增加到2000年的332.1 km²和43.6 km²。面积减少最多的是羊草＋丛生禾草、羊草＋杂类草等优良高产温带典型草原类型,共减少2040 km²。草甸草原面积亦呈逐年减少的趋势,从1987年的1103 km²减少到2000年375 km²,面积减少了65.9 %。农田、沙化地及城镇等非草原土地利用类型面积增加了62.5 %。     

Analysis of soil moisture dynamics beneath olive trees

Olive cultivation is a widespread land use in Mediterranean climates. The proper implementation of soil and water conservation practices in groves requires detailed knowledge of the governing hydrological processes. In this work topsoil moisture dynamics under wet and dry conditions and across a small catchment was investigated in the inter row (IR) and directly under the olive tree canopies (UC). We do this using a sensor network (11 stations) and a simple bucket model which was calibrated (June, 2011–2012) and validated (June, 2012–2013). During most of the year the normalized soil moisture contents (s) were greater in the IR than under UC, with an average normalized soil moisture difference of 0.12. The difference between UC and IR normalized soil moisture followed a seasonal pattern, reaching a maximum near 0.30 during spring. An analysis of the normalized soil moisture probability density functions (pdfs) was bimodal, showing characteristic dominant wet and dry soil moisture states, with the highest probability densities for the dry state. Overall the spatial variability of soil moisture was lower UC than in the IR. This was a result of the soil moisture buffering capacity of the canopy with respect to rainfall and evaporation, in addition to observed differences in soil properties. Hourly soil moisture data were successfully modelled (R² > 0.85), both UC and in the IR, yet with the inclusion of a simple formulation for canopy interception for the former. The results provide insight into how olive trees change hydrological processes in their neighbourhood. Copyright © 2016 John Wiley & Sons, Ltd.     

Spatio-temporal regression kriging for modelling urban NO2 concentrations

ABSTRACT

Recently developed urban air quality sensor networks are used to monitor air pollutant concentrations at a fine spatial and temporal resolution. The measurements are however limited to point support. To obtain areal coverage in space and time, interpolation is required. A spatio-temporal regression kriging approach was applied to predict nitrogen dioxide (NO₂) concentrations at unobserved space-time locations in the city of Eindhoven, the Netherlands. Prediction maps were created at 25 m spatial resolution and hourly temporal resolution. In regression kriging, the trend is separately modelled from autocorrelation in the residuals. The trend part of the model, consisting of a set of spatial and temporal covariates, was able to explain 49.2% of the spatio-temporal variability in NO₂ concentrations in Eindhoven in November 2016. Spatio-temporal autocorrelation in the residuals was modelled by fitting a sum-metric spatio-temporal variogram model, adding smoothness to the prediction maps. The accuracy of the predictions was assessed using leave-one-out cross-validation, resulting in a Root Mean Square Error of 9.91 μg m^?3, a Mean Error of ?0.03 μg m^?3 and a Mean Absolute Error of 7.29 μg m^?3. The method allows for easy prediction and visualization of air pollutant concentrations and can be extended to a near real-time procedure.     

Conversion of Pressure to Depth for Moored Instruments Using a Reference Bottom Mounted Pressure Sensor

A new method is proposed to convert pressure measured by an instrument to water depth using an additional available bottom-moored pressure sensor. A perturbation analysis is used in this analysis, which leads to a simple formula for calculating water depth (defined as one from the mean sea surface to the instrument) from the pressure data. In field experiments, this method is easier to apply than existing methods. Based on the theoretical derivation, the error associated with the method comes from two sources when the instrument depth is known at the beginning of the measurement: temporal variation of deep water density at depths deeper than the instrument and variation in the gravitational acceleration with instrument displacement. These two sources contribute up to 4% of the error relative to the vertical displacement of the instrument, assuming the pressure sensor is accurate. With the vertical displacement of the instrument being on the order of 10?m, the absolute error is on the order of 0.4?m, which is expected and acceptable in oceanic measurements. The method is applied to data from a field experiment that took place along the Myanmar coast in December 2012.     

地质和岩土工程光电传感监测研究进展及趋势第五届OSMG国际论坛综述

第五届地质(岩土)工程光电传感监测国际论坛于2014年10月在南京大学成功举办。本次论坛显示,国内外地质和岩土工程光电传感监测领域的研究工作取得了以下一些进展:(1)光电解调技术不断进步,解调精度、稳定性不断提高,一些新型的技术如微弱FBG拉丝塔技术被开发出来; (2)国内外都研发了大量的适用于地质与岩土工程监测的光纤传感器,基本上覆盖了工程监测领域的各种需求; (3)光电传感器的性能测试和布设工艺成为研究热点; (4)基于光电传感器的健康诊断和监测理论日益成熟; (5)光电传感监测技术的工程应用领域越来越广阔,在边坡工程、隧道工程、采矿工程、基坑工程、道桥工程等领域发挥了越来越重要的作用。未来的研究建议包括以下几个方面:(1)高性价比的分布式光纤传感解调技术的研发; (2)适合于地质、岩土工程分布式监测的光纤传感器的研发; (3)适应恶劣地质环境的分布式光纤传感器布设工艺研究; (4)海量监测数据的实时处理、误差分析和异常识别; (5)海量监测数据传输技术的开发; (6)基于分布式监测的地质灾害预警和岩土工程安全评估理论研究。     

基于张量分解的AoT序列数据有损压缩方法

Array of Things (AoT)通过单一位置上的多传感器对城市系统进行连续动态观测。AoT观测数据量大且持续增长,使得如何利用有限的计算资源进行AoT序列数据的压缩传输成为其应用的关键瓶颈之一。本文提出了一种基于张量分解的AoT序列数据的有损压缩方法。面向其海量、高维且需在传感器端处理的需求,该方法首先将AoT序列数据组织成高维张量,利用算法复杂度较低的张量CANDECOMP/PARAFAC (CP)分解提取各维度上的特征主分量,而后利用张量重构实现特征保持的数据有损压缩。利用基于张量分解的有损压缩方法,针对美国芝加哥市区的24 h内感测的声光电磁数据进行了实验,讨论了不同压缩参数对压缩比、压缩误差、压缩精度、压缩时间、压缩过程运行内存占用和压缩结果内存占用之间的影响。实验结果表明该方法可实现AoT序列数据的有损压缩,其较小的内存占用能够支持传感器端数据压缩。并且与原始光场强度对比表明,压缩后的数据保持了原有时空分布特征。与传统矢量量化编码压缩方法相比,在相同压缩精度下,本文方法的压缩比约高27%~76%,压缩时间约节省46%~73%,压缩结果所占内存约节省17%~57%,因此本文方法具有更高的压缩比,更低的压缩时间和内存占用,可为AoT这一类数据的大规模有损压缩提供借鉴意义。