ART算法中松弛因子对中子CT成像结果的影响研究

ART算法是CT重建迭代算法中重要和经典的算法,而松弛因子是ART算法中的重要参数。由建于绵阳的冷中子照相装置采集得到投影图像,本文研究了松弛因子对ART重建算法重建图像收敛速度的影响和对重建图像质量的影响,从兼顾质量和效率的角度出发,给出了松弛因子的选择范围,对中子CT成像迭代重建具有重要参考意义。      

华北克拉通北缘凉城基性岩墙成因及古地理的重建意义

为揭示华北克拉通北缘凉城基性岩墙的形成时代、岩石成因、构造背景及对罗迪尼亚超大陆重建的意义,本研究借助激光烧蚀多接收器等离子质谱(LA-MC-ICP-MS)锆石U-Pb定年、Hf同位素及全岩地球化学研究手段,对凉城桃花沟岩墙开展了系统研究。研究结果显示,凉城桃花沟岩墙为新元古代早期(903±15 Ma)基性岩浆活动的产物,归属拉斑岩石系列,具有较高的TFeO(12.78%～16.30%)及TiO₂(2.59%～3.31%)含量、较低的MgO(2.87%～3.83%)、Cr(32.7×10^-6～42.0×10^-6)、Ni(11.6×10^-6～14.5×10^-6)含量及Mg^#值(29～38),富集轻稀土元素(LREE)、Rb、Pb、Zr及Hf元素,亏损Ba、Sr、Nb、Ta、Ti及Eu(Eu/Eu^*=0.74～0.83)元素。锆石原位ε_Hf(t)范围为2.4～13.4,单阶段Hf模式年龄(t_DM1     

松辽盆地北部热史恢复及烃源岩生烃史

根据镜质体反射率、粘土矿物分析和包裹体测试数据对松辽盆地北部齐家-古龙凹陷、三肇凹陷、黑鱼泡凹陷和双城向斜的古地温进行了研究并恢复了其热历史.它们都是在明水组沉积末期达到最高古地温,从古近纪到现今古地温持续降低.各个凹陷经历的古地温高低顺序依次为：古龙凹陷 >双城向斜 >三肇凹陷 >黑鱼泡凹陷,对应最高古地温为160℃至120℃不等.成烃史研究表明：松辽盆地中-浅层主力烃源岩青山口组-段泥岩随着嫩江组的快速沉积迅速进入生烃阶段,但各地所处成烃阶段不同;齐家-古龙凹陷烃源岩在嫩江组沉积初期进入生油门限,在嫩江组-明水组沉积期为快速生烃期,现为成熟-高熟阶段;双城向斜和三肇凹陷烃源岩在嫩江组沉积中期进入生油门限,于嫩江组-明水组沉积末期为快速生烃期,现为成熟阶段;黑鱼泡凹陷烃源岩在嫩江组沉积期末进入生油门限,于四方台组-明水组沉积期为快速生烃期,现为低熟-成熟阶段.     

Counterpropagation fuzzy–neural network for streamflow reconstruction

This study combines neural networks and fuzzy arithmetic to present a counterpropagation fuzzy–neural network (CFNN) for streamflow reconstruction. The CFNN has a rule‐based control, a modified self‐organizing counterpropagation network, and a fuzzy control predictor. It can generate rules automatically by increasing the training data to improve the accuracy of streamflow reconstruction. The CFNN establishes the input and output relationship of a watershed without set‐up parameters. The parameters are estimated systematically by the approach converging to an optimal solution. One sequence of data generated by the Monte Carlo method is used to demonstrate the accuracy of the CFNN. The streamflow data of the Da‐chia River, in central Taiwan, is also used to evaluate the performances of the CFNN. The results indicate the reliability and accuracy of the CFNN for streamflow reconstruction. Copyright © 2001 John Wiley & Sons, Ltd.     

Space reconstruction process and internal driving mechanisms of Taobao villages in metropolitan fringe areas: A case study of Lirendong village in Guangzhou,China

This paper examines the process and internal mechanisms of rural ecommerce industry agglomeration and space reconstruction in metropolitan fringe areas, employing Lirendong village in Guangzhou, China, as a case study. Questionnaire surveys and in-depth interviews were utilized and interpreted through the perspective of the actor-network theory. The results show that, in Lirendong village, local government, processing enterprises, rural collectives, e-commerce entrepreneurial talent, and other key actors participate in the pursuit and realization of suburban land value according to their action logic. Actors jointly evolved and constructed the phased industrial processes and space value accumulation process of the e-commerce industry. The reconstruction process experienced three stages, including the government-led agricultural decentralization stage, the market-oriented industrialization stage, and the Internet+ stage dominated by the social network of fellow villagers. The development process has evolved from the dominance of exogenous forces to that of endogenous forces, and, as a result, the types and structures of rural land use are diversified. The spatial texture and rural environment of the traditional country gradually disappeared, forming a diversified mixed form of urban-rural land and mixed-use landscape of industrial, commercial, and residential land in vertical space. At the same time, the social network changed from a single and homogeneous social network of acquaintances to a multiple network of strangers.     

Smooth Particle Hydrodynamics with nonlinear Moving-Least-Squares WENO reconstruction to model anisotropic dispersion in porous media

Most numerical schemes applied to solve the advection–diffusion equation are affected by numerical diffusion. Moreover, unphysical results, such as oscillations and negative concentrations, may emerge when an anisotropic dispersion tensor is used, which induces even more severe errors in the solution of multispecies reactive transport. To cope with this long standing problem we propose a modified version of the standard Smoothed Particle Hydrodynamics (SPH) method based on a Moving-Least-Squares-Weighted-Essentially-Non-Oscillatory (MLS-WENO) reconstruction of concentrations. This scheme formulation (called MWSPH) approximates the diffusive fluxes with a Rusanov-type Riemann solver based on high order WENO scheme. We compare the standard SPH with the MWSPH for different a few test cases, considering both homogeneous and heterogeneous flow fields and different anisotropic ratios of the dispersion tensor. We show that, MWSPH is stable and accurate and that it reduces the occurrence of negative concentrations compared to standard SPH. When negative concentrations are observed, their absolute values are several orders of magnitude smaller compared to standard SPH. In addition, MWSPH limits spurious oscillations in the numerical solution more effectively than classical SPH. Convergence analysis shows that MWSPH is computationally more demanding than SPH, but with the payoff a more accurate solution, which in addition is less sensitive to particles position. The latter property simplifies the time consuming and often user dependent procedure to define the initial dislocation of the particles.     

青藏高原湖泊长链不饱和烯酮研究现状及展望

陆地温度的定量重建一直是古气候研究领域最具挑战性的工作之一。古温度定量记录不仅可以为气候模式的输出结果提供验证,同时也可为全球变化背景下过去温度提供参考。长链不饱和烯酮化合物的发现及有机地球化学分析手段的提高为古温度定量重建提供了可能。新生代以来青藏高原的隆升对东亚环境演变产生显著影响,其在全球气候变化研究中具有重要位置,然而高质量的古气候定量记录在青藏高原仍十分缺乏,极大限制了对高原气候变化机制的深入理解。近年来利用长链不饱和烯酮指标重建水体温度在海洋及陆地湖泊环境得到了广泛应用。青藏高原湖泊具有分布广、数量多等特点,是利用长链烯酮开展古气候定量重建的理想区域。本文通过对已发表的湖泊长链烯酮研究手段及相关成果进行总结,以青藏高原湖泊烯酮研究现状为背景,对高原烯酮研究提出展望。     

Spatio-temporal analysis of cropland change in the Guanzhong area,China, from 1650 to 2016

As one of the most critical impact factors of global change, historical land-use change is an indispensable input in climate and environment simulations. To better understand the cropland change in the Guanzhong area, gazetteers, statistics, and survey data were collected as data sources. Methods of registered tax-paying cropland data collection, selection of time points, and data interpolation and calibration were used to reconstruct changes in the cropland area. The cropland area data at the county level were allocated to 1 km×1 km grid cells. The total cropland area in the Guanzhong area was influenced by changes in population, wars, natural disasters, and land-use types, and it fluctuated from 1650 to 2016. From 1780 to 1830, the cropland expanded in the northern and western parts of Guanzhong area, and the cropland in the north of Qinling Mountains increased slightly. The spatial pattern of cropland reached its maximum range in 1980, and the cropland area declined in the whole study area, especially in the cities of Xi'an and Xianyang in 2016. The comparison between HYDE 3.2 and the data obtained in this study showed that the grid cells of HYDE 3.2 exhibit lower values of cropland area fractions in the Guanzhong Basin and higher values in high-altitude areas around the Guanzhong Basin as compared to those in this study.     

基于极地冰芯的历史火山活动序列重建研究进展

火山气溶胶通过反射太阳辐射导致地表降温。重建历史火山活动序列,是评估其气候效应,从而区分人为和自然因子的相对贡献、预测温室气体对全球气候影响的基础之一。此综述简要介绍了火山活动影响气候的作用机理。通过对冰芯研究历史及利用两极冰芯记录重建火山活动序列的研究进展的回顾,阐述了极地冰芯在火山活动序列重建中的作用与优势,以及近期研究在冰芯钻取和数据分析手段、极地火山信号向大气辐射强迫转化方法等方面所取得的成果;同时指出在火山沉积物的空间分布、冰芯定年及高低纬度火山喷发源的确定方面仍存在较大不确定性。因此应结合火山碎屑研究及非质量同位素分馏分析等方法,并钻取更多时间尺度更长且现有冰芯钻取较少的地区的深冰芯,以更精确地重建火山活动序列,从而提高对历史火山活动及其对气候影响的认识。     

利用S-G滤波进行MODIS-EVI时间序列数据重构

采用S-G滤波方法对MOD13A2-EVI自2001~2007年间数据进行时间序列重构,以达到去云、消除离异值的目的,从而提高数据质量及可信度。对比重构前后数据发现,重构后的EVI数据在空间上更加一致,在时间维度上时序数据年间变化更加稳定。