关于生命起源研究的问题及其主攻方向的探讨

本文综述和分析了近几十年来国内外关于生命起源的研究的问题及各种假说和见解，提出物质的起源是生命起源问题研究的核心，生命起源问题应是研究原始地球的非生命物质如何演变成为生命物质的，地球上分子手性的起源是生命起源问题研究的主攻方向，有机分子光学活性百发生在由化学进化转入生物进化这一过渡阶段。     

橄榄石高温高压含水效应与光学性质实验研究

高温高压下橄榄石（多晶）含水效应实验表明,水不但可进入矿物孔隙,且能进入其晶格中。从而与原（干）样相比,橄榄石显示了特有的光学性质和红外吸收谱带,矿物比重也下降约０．０２。这些变化可能是上地幔低速层成因的构成因素。     

卫星遥感反演土壤水分研究综述

土壤水分是影响地表过程的核心变量之一。精准地测量土壤水分及其时空分布,长期以来是定量遥感研究领域的难点问题。简要回顾基于光学、被动微波、主动微波和多传感器联合反演等卫星遥感反演土壤水分的主要反演算法、存在的难点和前沿性研究问题,介绍了应用土壤水分反演算法所形成的3种主要全球土壤水分数据集,包括欧洲气象业务卫星（ERS/MetOp）数据集、高级微波扫描辐射计（AMSR-E）数据集、土壤湿度与海洋盐分卫星（SMOS）数据集,并结合目前存在的问题探讨卫星遥感反演土壤水分研究的发展趋势。     

基于光谱分类的太湖水体后向散射研究

由于时空变化而产生的水体后向散射系数参数化差异一直是影响水质参数遥感定量反演精度的一个重要因素。在对太湖遥感反射率光谱进行分类的基础上,针对影响太湖水体水色的不同主导因子,把太湖水体分为3种类型,分别利用半分析方法和光学闭合原理对后向散射系数进行模拟,在此基础上研究其光学特性及其与水体组分浓度的关系,最后针对3种不同主导类型的水体分别建立了后向散射系数参数化模型。将后向散射特性在不同时间和空间上的差异转化为水体不同主导因子在生物-光学上的差异,从而得到适用于太湖不同湖区及不同季节的后向散射系数参数化模型,为利用分析方法对太湖水质参数进行更为精确的遥感反演提供了基础。     

中国西北大气沙尘光学特性的数值试验

利用 1991年 2月下旬～ 5月中旬HEIFE张掖和沙漠站的大气浑浊度观测、地面辐射观测及同期卫星资料 ,借助NCARCCM 3中的辐射模式CRM ,模拟估算了我国西北大气沙尘气溶胶的部分光学参数 ,单次散射反照率 (ω0 )和光学厚度比 [k(τλ=8～ 14 /τλ=0 .55) ]。计算结果表明 ,清洁天ω0 和k(τλ =8～ 14 /(τλ =0 .55)在沙漠和绿洲均为 0 .94和 0 .1;浑浊天ω0 在绿洲为 0 .90 ,沙漠为 0 .84 ;k(τλ=8～ 14 /τλ =0 .55)在绿洲为 0 .3 ,沙漠为 0 .4。在气候模式中 ,可将我国西部沙尘源区大气沙尘的ω0 和k(τλ =8～ 14 /τλ=0 .55)分别取为 0 .88和 0 .3。     

Konzentrationsprofile in Rotationsscheibenreaktoren und deren Modellierung am Beispiel des anaeroben Acetatabbaus mit experimenteller Überprüfung

Concentration Profiles in Rotating Disc Reactors. Their Mathematical Model for the Anaerobic Digestion of Acetic Acid Including an Experimental Verification This paper presents rotating disc reactors for aerobic and anaerobic wastewater treatment. Unlike the activated sludge or contact processes, this reactor allows higher concentrations of biomass and lesser danger of the reactor becoming blocked. The reduced backmixing within the reactor leads to axial concentration profiles when continuously operated. These are presented for various biological processes. The axial concentration profiles generated during the continuous anaerobic degradation of acetic acid are measured and described by a mathematical model. A refined dispersion model is created on the basis of tracer experiments taking into account the actual construction of the reactor as well as the physical conditions in it. To determine the biodegradation a Haldane kinetics is used, in which the undissociated acetic acid is the substrate. The model takes into consideration all the local parameters (pH value, concentration of acetic acid, biomass, and ion activity). The difficult measurement of the concentration of the active biomass which is immobilized on the disk is accomplished by carrying out batch experiments. The results of the experiments are 22 concentration profiles with influent DOC concentrations from 200 to 2000 mg L^–1 which were measured and modelled. Some examples are shown to illustrate the influence of the ion activity and the refinement of the dispersion model.     

Automatic registration of optical imagery with 3D LiDAR data using statistical similarity

The development of robust and accurate methods for automatic registration of optical imagery and 3D LiDAR data continues to be a challenge for a variety of applications in photogrammetry, computer vision and remote sensing. This paper proposes a new approach for the registration of optical imagery with LiDAR data based on the theory of Mutual Information (MI), which exploits the statistical dependency between same- and multi-modal datasets to achieve accurate registration. The MI-based similarity measures quantify dependencies between aerial imagery, and both LiDAR intensity data and 3D point cloud data. The needs for specific physical feature correspondences, which are not always attainable in the registration of imagery with 3D point clouds, are avoided. Current methods for registering 2D imagery to 3D point clouds are first reviewed, after which the mutual MI approach is presented. Particular attention is given to adoption of the Normalised Combined Mutual Information (NCMI) approach as a means to produce a similarity measure that exploits the inherently registered LiDAR intensity and point cloud data so as to improve the robustness of registration between optical imagery and LiDAR data. The effectiveness of local versus global similarity measures is also investigated, as are the transformation models involved in the registration process. An experimental program conducted to evaluate MI-based methods for registering aerial imagery to LiDAR data is reported and the results obtained in two areas with differing terrain and land cover, and with aerial imagery of different resolution and LiDAR data with different point density are discussed. These results demonstrate the potential of the MI and especially the CMI methods for registration of imagery and 3D point clouds, and they highlight the feasibility and robustness of the presented MI-based approach to automated registration of multi-sensor, multi-temporal and multi-resolution remote sensing data for a wide range of applications.     

基于FY-2D的新疆强对流云的识别

利用2007-2013年新疆的十场强对流天气过程以及与之相应的FY-2D静止气象卫星数据,分析了强对流云红外一通道、红外二通道、水汽通道及通道差的光谱特征,提取强对流云团样本点,采用统计方法确定判识指标的阈值范围,构建多通道多阈值判识方法。利用三场天气过程的地面实测降水资料分别验证了单时次和整场天气过程强对流云判识的准确性,结果表明：单时次强对流云的识别区域与发生降雨台站一致的准确率为83%;在整个天气过程中,强对流频次分布与降水实况吻合度较高,说明随着对流云团的移动和发展,判识区域与地面降水区域保持一致,验证了判识方法有效,阈值选取合理,可以为监测暴雨天气系统的发生、发展提供支持。     

基于C-DTS的土壤含水率分布式测定方法研究

主动加热光纤布拉格光栅法(Actively Heated Fiber-Optic method based on Fiber Bragg grating method,AHFO-FBG method)因具有体积小、测温精度高、准分布式测量、抗电磁干扰、耐腐蚀等优点,近年来成为含水率测量技术的研究热点。研究该技术的率定方法对提高含水率测量的精准性和适用性是十分关键的,但现有研究中均未涉及到此内容。因此,本文采用自主研发的AHFO-FBG传感器对黄土开展了一系列率定试验,研究了ΔT_max和ΔT_cum两种率定方法的含水率率定结果,对此两种方法进行了对比分析。同时,进一步探究了不同加热时长和不同加热功率对ΔT_max法和ΔT_cum法率定结果的影响。研究结果表明：ΔT_max和ΔT_cum法均可得到良好的含水率率定结果,ΔT_max法的RMSE比ΔT_cum法高0.001 m³·m^-3,ΔT_cum法的测量优势不是很显著。在相同加热功率下,ΔT_max法和ΔT_cum法均在较短加热时间下的测量误差较小,且加热时间越短,ΔT_cum法较ΔT_max法的优势越明显;在相同加热时间下,低功率(5~10 W·m^-1)时ΔT_max法的RMSE较小,高功率(15~35 W·m^-1)时ΔT_cum法的RMSE较小,且适当的增加热功率有助于减少含水率率定误差。研究成果为AHFO-FBG技术实现土体含水率的精确测量和进一步应用提供了依据。