GPON光纤技术在山东地震信息网络中的应用

简要介绍了山东省地震行业信息系统的组成和功能,以及新建系统的项目背景、建设需求。介绍了光纤通信的发展历程,Epon和Gpon技术的基本原理及优、缺点和采用光纤组网的技术优势,以及结合山东省地震局信息系统实际和今后业务的发展规划。同时考虑了如何设计、技术思路和实施方案,以使该设计思路和方案最大程度的发挥优势。     

Aerosol concentration measurement with multiple light scattering system and laser aerosol spectrometer

The performance of two different optical concentration-measuring techniques was investigated over a concentration range starting with about 10² cm⁻³ and extending over more than four decades. Both instruments are capable of real-time counting, however due to their particular design-single particle counter and ensemble particle-measuring system—they operate in overlapping, but different concentration ranges. The upper, coincidence-free counting limit for the single particle counter used in this study was established to be in the order of 10⁴ cm⁻³. The ensemble technique was found to be functional and stable for concentrations of about 10³ cm⁻³ and limited by the onset of multiple scattering at concentrations nearby 2×10⁶ cm⁻³. Within the determined boundaries, both techniques proved to provide reliable aerosol concentration data.     

Optical scattering processes observed at the Moon: Predictions for the LADEE Ultraviolet Spectrometer

The Lunar Atmosphere and Dust Environment Explorer (LADEE) spacecraft will orbit the Moon at an altitude of ≈50 km with a payload that includes the Ultraviolet Spectrometer (UVS) instrument, which will obtain high spectral resolution measurements at near-ultraviolet and visible wavelengths (≈231-826 nm). When LADEE/UVS observes the lunar limb from within the shadow of the Moon it is anticipated that it will detect a lunar horizon glow (LHG) due to sunlight scattered from submicron exospheric dust, as well as emission lines from exospheric gases (particularly sodium), in the presence of the bright coronal and zodiacal light (CZL) background. A modularized code has been developed at NMSU for simulations of scattered light sources as observed by orbiting instruments in lunar shadow. Predictions for the LADEE UVS and star tracker cameras indicate that LHG, sodium (Na) emission lines, and CZL can be distinguished based on spatial morphology and spectral characteristics, with LHG dominant at blue wavelengths (∼250-450 nm) and small tangent heights. If present, LHG should be readily detected by LADEE/UVS and distinguishable from other sources of optical scattering. Observations from UVS and the other instruments aboard LADEE will significantly advance our understanding of how the Moon interacts with the surrounding space environment; these new insights will be applicable to the many other airless bodies in the solar system.     

阿尔金断裂带东段晚更新世阶地沉积物红外释光测年及其构造意义

对流经阿尔金断裂带东段的段家沙河、疏勒河和踏实河的阶地沉积物进行了细颗粒多测片红外释光(IRSL)测年,初步确定了晚第四纪各级阶地的形成年代和构造抬升速率。疏勒河在昌马盆地南缘发育7级阶地,光释光测年结果显示这些总高度超过100m的阶地可能主要形成于数万年以内,抬升速率约为2.5mm/a;照壁山峡谷疏勒河保留有5级阶地,大致形成于20万年前,阶地的抬升速率约为0.7mm/a;段家沙河在红柳峡上形成4级阶地,形成于距今7万年以来,其抬升速率约为06mm/a     

Estimated Visual Magnitudes of the EISCAT UHF Meteors

We have investigated the conditions for simultaneous meteor observations with the EISCAT UHF radar system and telescopic optical devices. The observed characteristics of 410 meteors detected by all three UHF receivers are compared with model simulations and their luminosity is calculated as a part of a meteoroid ablation model using a fifth order Runge–Kutta numerical integration technique. The estimated absolute visual magnitudes are in the range of +9 to +5. The meteors should therefore be observable using intensified CCD or EMCCD (Electron Multiplying CCD) cameras with telephoto lenses. A possible setup of a coordinated radar and optical campaign is suggested.     

Deep neural network for complex open-water wetland mapping using high-resolution WorldView-3 and airborne LiDAR data

Wetland inventory maps are essential information for the conservation and management of natural wetland areas. The classification framework is crucial for successful mapping of complex wetlands, including the model selection, input variables and training procedures. In this context, deep neural network (DNN) is a powerful technique for remote sensing image classification, but this model application for wetland mapping has not been discussed in the previous literature, especially using commercial WorldView-3 data. This study developed a new framework for wetland mapping using DNN algorithm and WorldView-3 image in the Millrace Flats Wildlife Management Area, Iowa, USA. The study area has several wetlands with a variety of shapes and sizes, and the minimum mapping unit was defined as 20 m² (0.002 ha). A set of potential variables was derived from WorldView-3 and auxiliary LiDAR data, and a feature selection procedure using principal components analysis (PCA) was used to identify the most important variables for wetland classification. Furthermore, traditional machine learning methods (support vector machine, random forest and k-nearest neighbor) were also implemented for the comparison of results. In general, the results show that DNN achieved satisfactory results in the study area (overall accuracy = 93.33 %), and we observed a high spatial overlap between reference and classified wetland polygons (Jaccard index ∼0.8). Our results confirm that PCA-based feature selection was effective in the optimization of DNN performance, and vegetation and textural indices were the most informative variables. In addition, the comparison of results indicated that DNN classification achieved relatively similar accuracies to other methods. The total classification errors vary from 0.104 to 0.111 among the methods, and the overlapped areas between reference and classified polygons range between 87.93 and 93.33 %. Finally, the findings of this study have three main implications. First, the integration of DNN model and WorldView-3 image is useful for wetland mapping at 1.2-m, but DNN results did not outperform other methods in this study area. Second, the feature selection was important for model performance, and the combination of most relevant input parameters contributes to the success of all tested models. Third, the spatial resolution of WorldView-3 is appropriate to preserve the shape and extent of small wetlands, while the application of medium resolution image (30-m) has a negative impact on the accurate delineation of these areas. Since commercial satellite data are becoming more affordable for remote sensing users, this study provides a framework that can be utilized to integrate very high-resolution imagery and deep learning in the classification of complex wetland areas.     

低纬子午环光轴变化的内涵和测定方法

叙述了子午环观测中测定和修正光轴变化或镜筒弯曲的必要性，简述了传统子午环的测定和修正方法，论述了低纬子午环引起光轴变化的因素和实时测定光轴变化的方法，讨论了在光轴变化测定值中的误差来源。     

黑龙江省龙凤山区域大气本底站气溶胶光学特征分析

利用2010—2020年黑龙江省龙凤山区域大气本底站气溶胶光学特性长期观测资料, 分析并探讨了背景地区气溶胶光学厚度、波长指数、单次散射反照率、粒子体积谱分布以及气溶胶直接辐射强迫效应的变化特征。结果表明: 龙凤山区域气溶胶光学厚度最高值出现在7月, 平均值为0.67;最小值出现在12月、1月和2月, 平均值分别为0.17、0.02和0.18;气溶胶光学厚度在17时达到最高值为0.39。气溶胶波长指数在4—5月最低, 平均值分别为1.20和1.21;12月最高, 平均值为1.74;波长指数在12时达到峰值, 为1.44。单次散射反照率最低值分别出现在4月、8月和10月, 平均值分别为0.84、0.82和0.84;气溶胶单次散射反照率在12时出现峰值, 为0.95。龙凤山区域春季气溶胶粗粒子体积分数最高值出现在5月, 为0.04 μm³·μm^-2, 有效半径为3.85 μm; 夏季气溶胶细粒子体积分数最高值出现在7月, 为0.06 μm³·μm^-2, 有效半径为0.19 μm; 秋冬季龙凤山背景地区气溶胶细粒子和粗粒子体积分数均进一步减小。龙凤山区域地面和大气层顶气溶胶直接辐射强迫最高值均出现在7月, 分别为-94.44 W·m^-2和-22.33 W·m^-2。     

Electronic and optical properties of Fe, Zn and Pb sulfides

Ab initio quantum-chemical calculations of the spatial and electronic structures of sphalerite (ZnS), pyrite (FeS₂) and galena (PbS), using the density functional theory (DFT) local density approximation (LDA) and generalized gradient approximation (GGA), the Hartree–Fock (HF) method and the hybrid functional B3LYP, have been carried out. For galena, the DFT LDA and GGA functionals provided the best estimate of the band gap, from within –0.1 eV to +0.4 eV of the measured value. B3LYP and RHF gave rise to errors of +1.3 and +5.4 eV, respectively. The unit cell parameter error varied from between –1.1% and +2.3% for all the functionals examined. For sphalerite the B3LYP functional provided the best estimate of the band gap (error +0.3 eV). The unit cell parameter error varied between –2.1% and +2.0% for the various DFT functionals and B3LYP. RHF gave rise to an error of +3.8%. For FeS₂, the DFT-GGA approach provides the best results for both the unit cell and the band gap. This may be due to mutual cancellation of the crystal field splitting and band separation force, which are of equal but opposite magnitudes. The calculated density of states (DOS) for the conduction band is used to interpret the experimental features of the S 1s XANES (X-ray absorption near-edge structure) spectra obtained using synchrotron radiation. Because of the l = ±1 selection rule for electron excitation, the S K-edge XANES spectra represent a transition of the S 1s electron to conduction band S p-like orbitals. The near-edge region, up to 15 eV past the edge is approximated well by the DOS. Individual peaks in the DOS correlate with peaks in the XANES spectra. In addition, the imaginary part of the dielectric function, which reflects the transitions from occupied to unoccupied levels, is used to model the near-edge region of the XANES, using the DFT-GGA formalism. Individual peaks in the XANES spectrum are moderately well resolved using the dielectric function, especially for ZnS and FeS₂, while the DOS for the conduction band is more successful in predicting the shape of the XANES spectra for all three minerals.