地震计远程监控功能接口的实现

提出了一种适用于地震计远程监控功能接口的实现方式,扩充了地震数据采集器的应用。     

吸湿性播撒对暖性对流云减雨影响的数值模拟

利用以色列特拉维夫大学二维面对称分档云模式（two-dimensional slab-symmetric detailed spectral bin microphysical model of Tel Aviv University）,对2016年9月4日16:00（北京时）前后我国华东地区的一次暖性浅对流云降水过程进行模拟,模式模拟的强回波中心高度和最大回波强度范围与观测基本一致。并在此基础上进行了小于1 μm的吸湿性核的播撒减雨试验,分别考虑了不同播撒时间、不同播撒高度以及不同播撒剂量的敏感性测试。结果表明:在云的发展阶段早期播撒能起到更好的减雨效果,播撒时间越早对大粒子生长过程的抑制作用越强,随着播撒时间向后推移,受抑制作用最显著的粒径段向小粒径端偏移;在云中心过饱和度大的区域下方进行播撒,减雨效果更加明显,当播撒剂量为350 cm-3时,地面累积降水量减少率可达23.3%;另外,随着播撒剂量的增加,减雨效果更加显著,甚至能达到消雨的效果。因此,在暖性浅对流云中合理地播撒小于1 μm的吸湿性核能达到较好的减雨或消雨效果。     

海洋三维遥感与海洋剖面激光雷达

本文从海洋与气候变化等重大前沿科学与应用对空间海洋观测系统的需求出发,基于当前国内外空间激光技术水平与前期海洋激光遥感的探索,提出了海洋遥感从二维向三维发展的紧迫性,并将海洋剖面探测激光雷达作为未来“海洋三维遥感”的主要技术手段。本文对近50年国内外激光海洋剖面探测技术的理论与应用、基础性关键探测机理问题,尤其是近10年来的试验性探索及其在多个海洋科学问题中的应用进行了综述。结合中国自主“观澜号”海洋科学卫星计划中海洋剖面探测激光雷达的系统论证与指标要求,提出了未来海洋剖面探测激光雷达发展路线图建议以及中国有望率先在空间海洋剖面激光探测领域取得突破的设想。     

对流云降水过程中地形作用的数值模拟

该文利用地形追随坐标三维云模式，对湖北的一次对流降水过程进行了平坦地面和理想斜坡地形的模拟试验。结果发现平坦地面模拟的回波强度、最大降水强度和累积降水都与实况有相当的差距。理想地形的对流过程虽然不能模拟出对流群中多单体的生消过程，但最大降水强度和累积降水都比平坦地面的大，更接近实测结果。模拟试验表明，在地形坡度较大时，会产生较强的上升气流，从而使系统对流发展旺盛，产生较大的降水和较强的回波。所以在模拟山区和丘陵地带的对流系统时，采用地形坐标并考虑地形将会改善模式的模拟结果。     

喀斯特地区土壤微生物功能多样性对生态演替的响应——以贵州茂兰国家自然保护区为例

利用BIOLOG ECO微平板法研究了喀斯特地区土壤微生物功能多样性对生态演替的响应情况。在研究区选取具有代表性的4个不同群落演替阶段：原生乔木林、次生乔灌混合林、灌丛、草坡,同时选择一个非喀斯特森林样地作为对照,对选取的不同生态系统土壤的微生物功能多样性进行研究。结果发现,随着乔木林逆向演替到灌丛的过程,微生物活性有逐渐降低的趋势,功能多样性对生态演替响应灵敏,土壤微生物在喀斯特地区比非喀斯特地区总体表现出更高的活性和丰富度,但群落均匀度较低,结构不稳定。主成分分析显示,演替使微生物的代谢模式产生了明显的分异,起主要分异作用的碳源是糖类、羧酸类和聚合物类。颜色变化率和主成分分析综合表明,演替进行到草坡阶段,较大的环境变化可能使土壤微生物采取了r-策略（r-strategistis）。根据逆向演替过程中土壤微生物功能多样性的变化,灌丛阶段可以视为岩溶生态系统整个演替阶段的阈值。     

基于智能手机的室内定位技术的发展现状和挑战

随着位置服务应用的兴起和移动智能终端的普及,高精度导航定位需求正在从孤立的区域延伸到无缝的全域,从专业群体走向大众用户。然而,实时、连续、完备的行人导航仍然面临着诸多挑战,如室外区域全球导航卫星系统（global navigation satellite system,GNSS）信号易受遮挡影响、室内环境Wi-Fi/低功耗蓝牙（bluetooth low energy,BLE）/地磁指纹库更新频繁、室外内过渡区域平滑切换困难等。此外,大众移动智能终端的定位传感器受成本与功耗限制,观测数据一般噪声较大且稳定性差。因此,提出设计了云-端协同的大众行人用户室内外无缝精密定位方案,突破了信标指纹库的众包采集与快速更新、智能手机多传感器信息融合的精密定位、室内外无缝切换等关键难题,研制了大众行人协同精密定位软件,通过综合利用位置服务平台提供的协同精密定位增强信息,以及智能手机终端获取的多源观测数据（GNSS、微型惯性测量单元（miniature inertial measurement unit,MIMU）、Wi-Fi、BLE、磁力计及气压计等）,实现了大众用户室外精度优于1.5 m,室内精度1~3 m,并具备室内外平滑切换能力的导航定位服务,支撑了大众用户室内外无缝精密定位的需求。     

东营凹陷地下水动力场的形成与演化

沉积盆地地下水动力场的理想模式可以归纳为对称型和不对称型两种,其中局部地下水动力单元可以划分为泥岩压榨水离心流,大气水下渗向心流,越流、越流蒸发泄水和滞流4种类型。地下水动力场的演化具有旋回性,每个旋回可以分为两个阶段:盆地沉降沉积时期的泥岩压榨水离心流阶段和盆地抬升剥蚀时期的大气水下渗向心流阶段。随沉积盆地的形成与演化,水动力场也有形成、发展和消亡的过程。东营凹陷地下水动力场在平面上呈对称性:总体上大气水由凹陷边缘向凹陷中心渗入,凹陷内部各洼陷为压榨水形成的离心流区,凹陷边缘南部斜坡带和北部断阶带以及凹陷内部中央断裂带为越流泄水区。纵向上,局部水动力单元强度及演化规律与地层的埋藏深度有关。随着埋藏深度的增加,水动力单元强度逐渐减弱。     

Precise orbit determination of BeiDou constellation: method comparison

Chinese BeiDou navigation satellite system is in official service as a regional constellation with five geostationary earth orbit (GEO) satellites, five inclined geosynchronous satellite orbit (IGSO) satellites and four medium earth orbit (MEO) satellites. There are mainly two methods for precise orbit determination of the BeiDou constellation found in the current literatures. One is the independent single-system method, where only BeiDou observations are used without help from other GNSS systems. The other is the two-step GPS-assisted method where in the first step, GPS data are used to resolve some common parameters, such as station coordinates, receiver clocks and zenith tropospheric delay parameters, which are then introduced as known quantities in BeiDou processing in the second step. We conduct a thorough performance comparison between the two methods. Observations from the BeiDou experimental tracking stations and the IGS Multi-GNSS Experiment network from January 1 to March 31, 2013, are processed with the Positioning and Navigation Data Analyst (PANDA) software. The results show that for BeiDou IGSO and MEO satellites, the two-step GPS-assisted method outperforms the independent single-system method in both internal orbit overlap precision and external satellite laser ranging validation. For BeiDou GEO satellites, the two methods show close performances. Zenith tropospheric delays estimated from the first method are very close to those estimated from GPS precise point positioning in the second method, with differences of several millimeters. Satellite clock estimates from the two methods show similar performances when assessing the stability of the BeiDou on board clocks.     

Curve matching approaches to waveform classification: a case study using ICESat data

Light Detection and Ranging (LiDAR) waveforms are being increasingly used in many forest and urban applications, especially for ground feature classification. However, most studies relied on either discretizing waveforms to multiple returns or extracting shape metrics from waveforms. The direct use of the full waveform, which contains the most comprehensive and accurate information has been scarcely explored. We proposed to utilize the complete waveform to test its ability to differentiate between objects having distinct vertical structures using curve matching approaches. Two groups of curve matching approaches were developed by extending methods originally designed for pixel-based hyperspectral image classification and object-based high spatial image classification. The first group is based on measuring the curve similarity between an unknown waveform and a reference waveform, including curve root sum squared differential area (CRSSDA), curve angle mapper (CAM), and Kullback–Leibler (KL) divergence. The second group assesses the curve similarity between an unknown and reference cumulative distribution functions (CDFs) of their waveforms, including cumulative curve root sum squared differential area (CCRSSDA), cumulative curve angle mapper (CCAM), and Kolmogorov–Smirnov (KS) distance. When employed to classify open space, trees, and buildings using ICESat waveform data, KL provided the highest average classification accuracy (87%), closely followed by CCRSSDA and CCAM, and they all significantly outperformed KS, CRSSDA, and CAM based on 15 randomized sample sets.