基于SDOG-ESSG的地球系统元胞自动机框架及其应用试验

元胞自动机结构简单且具备模拟复杂系统的能力,已被广泛应用于大气、流体力学、地球物理等领域。然而,现有元胞自动机以欧氏空间为约束进行地球系统过程模拟,忽略了地球重力等天然约束,导致计算过程中元胞状态的传递方向与真实运动的趋势方向不相符,一定程度上扭曲了最终的模拟结果。本文提出了地球系统元胞自动机这一概念,并从元胞表达及构建、邻居模型等方面设计了基于SDOG-ESSG格网的地球系统元胞自动机框架。由于演化规则取决于不同的应用,因此本文进一步以地壳的热传递为例,通过对热力学方程离散化设计了相应的演化规则。最后,借助公开的数据源开展了地壳热传递元胞自动机模拟的初步试验,并与一定区域下的数值模拟结果展开了比对。试验表明,与数值模拟方法相比,本文方法的模拟结果相对误差控制在27%以内,具备一定程度的可行性,可作为地球系统过程模拟的一种新思路。     

A hybrid approach to modeling territorial control in violent armed conflicts

Territorial control is central to the understanding of violent armed conflicts, yet reliable and valid measures of this concept do not exist. We argue that geospatial analysis provides an important perspective to measure the concept. In particular, measuring territorial control can be seen as an application of calculating service areas around points of control. The modeling challenge is acute for areas with limited road infrastructure, where no complete network is available to perform the analysis, and movements largely occur off road. We present a new geospatial approach that applies network analysis on a hybrid transportation network with both actual road data and hexagon‐fishnet‐based artificial road data representing on‐road and off‐road movements, respectively. Movement speed or restriction can be readily adjusted using various input data. Simulating off‐road movement with hexagon‐fishnet‐based artificial road data has a number of advantages including scalability to small or large study areas and flexibility to allow all‐directional travel. We apply this method to measuring territorial control of armed groups in Sub‐Saharan Africa where inferior transport infrastructure is the norm. Based on the Uppsala Conflict Data Program's (UCDP) Georeferenced Event Data (GED) as well as spatial data on terrain, population locations, and limited transportation networks, we enhance the delineation of the specific areas directly controlled by each warring party during civil wars within a given travel time.     

Grid pattern recognition in road networks using the C4.5 algorithm

Pattern recognition in road networks can be used for different applications, including spatiotemporal data mining, automated map generalization, data matching of different levels of detail, and other important research topics. Grid patterns are a common pattern type. This paper proposes and implements a method for grid pattern recognition based on the idea of mesh classification through a supervised learning process. To train the classifier, training datasets are selected from worldwide city samples with different cultural, historical, and geographical environments. Meshes are subsequently labeled as composing or noncomposing grids by participants in an experiment, and the mesh measures are defined while accounting for the mesh’s individual characteristics and spatial context. The classifier is generated using the C4.5 algorithm. The accuracy of the classifier is evaluated using Kappa statistics and the overall rate of correctness. The average Kappa value is approximately 0.74, which corresponds to a total accuracy of 87.5%. Additionally, the rationality of the classifier is evaluated in an interpretation step. Two other existing grid pattern recognition methods were also tested on the datasets, and comparison results indicate that our approach is effective in identifying grid patterns in road networks.     

横向振动格栅紊流紊动特性试验

建立了一套大尺度格栅紊流试验系统,格栅进行有别于传统垂向模式的横向振动,采用粒子图像测速技术(Particle Image Velocimetry,PIV)测量流速。对瞬时流速的检验表明,该系统产生的紊流场具有较强的随机性和统计规律性。均方根流速在格栅片附近变化较大,在两片格栅中间处趋于稳定,纵向均方根流速明显大于垂向均方根流速,二者比值在1.5~2.0之间,接近天然明渠紊流。雷诺应力在距格栅越近处波动越大,随着距格栅距离的增加而减小,至两片格栅中间处雷诺应力基本为0。时间和长度积分尺度在格栅片处最小,随着距格栅距离的增加而线性增加,至两片格栅中间处达到最大值。流速能谱呈现Kolmogorov理论的-5/3次方规律。本系统生成的紊流场的统计规律与传统的垂向振动格栅紊流较为一致,但纵向和垂向的紊动强度更接近实际,为后续紊流中泥沙和污染物等运动机理的研究奠定了基础。     

定向钻进敷设电缆保护管轨迹优化设计研究

在老旧城区内采用定向钻进敷设地下管线,常常需要从已有的各类地下建（构）筑物或管线下方穿过,方案设计时就应考虑新建管道与之安全距离的取值问题。以厦门市某110 kV电力电缆的定向钻进工程的实际需求为出发点,在对国内现有规程规范及工程实例调查的基础上,对电力电缆保护管定向钻进敷设安全距离取值的影响因素进行分析,优化工程定向钻进敷设方案,指导该工程的建设,并为类似工程建设提供参考。     

CFD investigations of OXYFLUX device,an innovative wave pump technology for artificial downwelling of surface water

No other environmental variable of such ecological importance to estuarine and coastal marine ecosystems around the world has changed so drastically, in such a short period of time, as dissolved oxygen in coastal waters. The prevalent methods for counteracting anoxic sea events are indirect measures which aim to cut-down anthropic loads introduced in river and marine environments. To date, no direct approaches, like artificial devices have been investigated except the WEBAP and OXYFLUX devices. The present paper adopts a numerical approach to the analysis of the pumped surface water as well as the analysis of the dynamic response of the OXYFLUX device. By means of a CFD-RANS code and through the application of overset grid method, the 1/16 OXYFLUX model’s dynamic response and pumping performance are evaluated. The appropriate grid is selected after an extensive sensitivity analysis carried out on 9 different grids. The CFD model is validated by comparing numerical and physical results of heave decay test, heave response, and surface water discharge under the action of regular waves. The extensive comparison with experimental results shows consistently accurate predictions. The main findings of the study show that nonlinear effects remarkable reduce the dynamic behaviour of the OXYFLUX and generate an unexpected second harmonic for pitch response intensifying the overtopping discharge also for small waves caused by the summer's low intensity winds.     

基于地理格网分级法提取的中国传统村落空间分布

中国传统村落真实地记录了建筑、民俗民风和较原始的民居空间形态,是千百年来人类与自然和谐共存的生活基础。随着城市化进程加快,传统村落的存续受到了很大的挑战,为了更好地保护利用传统村落,对其进行多视角的研究尤为重要,除了微观层面的具体保护措施外,还应加强宏观层面的空间分布研究。地理格网是表达复杂地理现象、综合分析自然与人文数据、模拟地理系统功能与行为的基本方法。本文从百度影像地图提取村落坐标,并截取遥感影像作为村落点数据的判断补充,在此基础上,运用地理格网的分级法,对国家公布的三批中国传统村落(2555个)数据进行空间格局分析,结果表明：这些村落主要分布在中国东南部,如落在一级格网Ⅰ18、Ⅰ19就分别有586、781个村落,占三批传统村落总数的96.6%。通过对二级和三级格网的村落分布离散性进行分析,使传统村落的空间分布数据结构更加系统和清晰有序,为合理构建其数据库提供了框架基础。     

Magnetic measurements in electrical prospecting by resistivity methods

The electrical resistivity and induced polarization (IP) methods are widely used in geological mapping, prospecting and exploration of mineral deposits, engineering geology, hydrogeology, archaeology, and geotechnical and environmental applications. Historically, these methods have formed the basis of the electrical prospecting technique. In these methods, a DC or low-frequency AC electrical current is introduced into the earth through a grounded transmitter line. The measured quantity is the electric field. However, if the earth’s resistivity or chargeability changes horizontally, this change gives rise to an anomalous magnetic field, which is studied by the magnetometric resistivity (MMR) and magnetic induced polarization (MIP) methods, respectively. Along with advantages, some shortcomings are inherent in the MMR and MIP techniques. Apparently, the main drawback of these methods is that the magnetic fields of both the transmitter line wire and ground electrodes on the surface are several orders of magnitude greater than the anomalous magnetic field response. This introduces a significant “noise” to magnetic-resistivity data. We investigate the potential of using a circular electric dipole (CED) in magnetometric resistivity techniques. It has been found that the application of a CED, instead of a conventional transmitter line, dramatically enhances the signal-to-noise ratio.     

Foundations of petroleum prediction based on the activation of geochemical processes by direct current

Petroleum prediction in local objects and the applicability of geologic environment parameters in this regard are considered. The proposed guidelines for petroleum potential prediction are based on the analysis of the distribution of typomorphic epigenetic multivalent elements loosely fixed in rocks before and after electric current treatment. The advantage of geoelectrochemical methods providing data on the chemical composition of above-productive deposits is demonstrated.     

特提斯喜马拉雅铅锌锑金成矿带含炭质岩石中热液脉型矿床的综合电法勘探——以西藏扎西康铅锌锑多金属矿为例

扎西康铅锌锑多金属矿床产出于特提斯喜马拉雅炭质板岩的断裂带内,是特提斯喜马拉雅铅锌锑金成矿带内典型的热液脉型矿床。由于含炭质岩石和金属硫化物都呈现出相似的低阻高极化电性特征,加之热液脉型矿床的矿体普遍较小,使得在含炭质岩石中对金属硫化物矿体进行电法勘探存在较大困难。本文通过对扎西康矿床已知矿体的音频大地电磁测深和激电中梯测量,发现矿区的炭质板岩呈现低电阻率(10^-0.4~10⁰Ω·m)和高极化率(9%~20%)特征,而矿体呈现出高电阻率(10²~10³Ω·m)和低极化率(1%~5%)的特征。经研究分析,认为造成这种现象的原因有两方面：(1)扎西康炭质板岩中的炭质物质量分数平均为0.79%,变质温度约在300±25℃~340±25℃,炭质物电阻率为6.1×10^-5~6.8×10^-4Ω·m,显示极好的导电性;此外,炭质板岩中存在大量黏土矿物,黏土矿物的吸水性促进了炭质物的连通性,因此炭质物高导电性与连通性的耦合使得炭质板岩呈现低阻高极化电性特征;(2)扎西康矿床的脉型矿体除包含金属硫化物外,还产出大量的脉石矿物,脉石矿物普遍具有高阻低极化电性特征,是造成整个矿体在炭质板岩中呈现高阻低极化异常的根本原因。据此,本文提出在炭质板岩中通过识别脉石矿物引起的高阻低极化异常带间接找矿的新思路,相应的技术方法组合为：利用激电中梯测量定位高阻低极化带的平面位置,再利用音频大地电磁测深探测其深部产状。