动态矿区DEM生成方法及其在土地复垦中的应用研究

首先根据我国矿区土地复垦工作中存在的不足,通过研究提出"动态土地复垦"的概念,并确定了动态土地复垦方案制定的数据基础——动态矿区数字高程模型。动态矿区数字高程模型应该包含煤矿生产对地表的累积影响结果数据和地表的原始地形信息,开采沉陷预计结果可以提供前者,地面测量可以提供后者,经过数据处理可以按时间间隔生成描述塌陷区的一系列数字高程模型(DEM)(准动态),然后运用DEM的空间分析技术提取塌陷区在不同时间段的土地破坏类型、范围和位置数据,并根据这些数据进行动态土地复垦方案决策数据的提取,经实例验证该方法可行。     

小卫星数据的变化监测能力分析

为了促进小卫星数据在地质灾害监测中的应用与推广,本文以监测采矿图斑变化为目标,通过对北京地区的2006年和2007年两期北京一号小卫星4m全色影像采用正射校正、配准和迭加对比的方法发现变化信息。结合1∶50 000影像图、野外调查和测量,确定变化图斑的边界、变化原因和规模,并对小卫星全色图像的变化监测能力进行分析和总结。本文通过对小卫星4m全色影像数据的分析,基本上可以概括出其变化监测能力。     

露天煤矿数字地质模型的建立及在虚拟开采中的应用研究

为了对露天煤矿剥、采、排和土地复垦的进行预控制,需要对露天矿生产进行预演,计算相关数据。采用层面模型建立露天矿的地质模型,以"多对角线交换循环算法"结合"凸包推进算法"建立约束TIN结构层面。根据露天矿开采推进的特点建立以台阶为单元的分层式开采模型,在地质模型和开采模型的基础上,根据露天矿实际生产情况建立开采模板,采用"人工交互式推进"实现露天矿的虚拟开采。     

Optimizing support vector machine learning for semi-arid vegetation mapping by using clustering analysis

In remote sensing communities, support vector machine (SVM) learning has recently received increasing attention. SVM learning usually requires large memory and enormous amounts of computation time on large training sets. According to SVM algorithms, the SVM classification decision function is fully determined by support vectors, which compose a subset of the training sets. In this regard, a solution to optimize SVM learning is to efficiently reduce training sets. In this paper, a data reduction method based on agglomerative hierarchical clustering is proposed to obtain smaller training sets for SVM learning. Using a multiple angle remote sensing dataset of a semi-arid region, the effectiveness of the proposed method is evaluated by classification experiments with a series of reduced training sets. The experiments show that there is no loss of SVM accuracy when the original training set is reduced to 34% using the proposed approach. Maximum likelihood classification (MLC) also is applied on the reduced training sets. The results show that MLC can also maintain the classification accuracy. This implies that the most informative data instances can be retained by this approach.     

使用Python函数式编程进行空间回归分析

针对使用传统的编程方式进行空间回归分析过于繁杂的问题,本文提出将Python函数式编程引入空间回归分析方法,分析和探讨脚本语言＋函数式编程方式在GIS数据分析中的推广应用前景。编程实践证明,采用Python函数式编程,结合既有的开源软件包,可以有效提高编程效率,减少代码量,将实践人员的注意力集中在问题本身。     

空间数据挖掘进展

空间数据挖掘是解决海量空间数据利用瓶颈的技术之一。本文综述空间数据挖掘的研究与应用进展。首先,分析空间数据挖掘的缘起。其次,研究空间数据挖掘的本质及其特点。再次,基于理论技术,分类总结空间数据挖掘的研究和应用的成果,并探讨其研究方向。最后,总结全文。     

基于空间数据挖掘技术的农用地产能核算数据库的应用研究

为提高农用地产能核算数据库的利用效率,以空间关联规则为基础,在河北省土地产能核算数据库的应用中得到提高河北省农业用地普查结果的利用效率的几条知识规则。利用现有软件,使用GIS软件进行空间数据预处理及空间关系计算。属性数据使用access管理,而关联规则挖掘算法直接应用Clementine。通过数据选取、数据预处理、数据变换、数据挖掘算法实施以及模式解释与评估,从空间数据库中提取用户感兴趣的空间模式与特征、空间与非空间数据的普遍关系及其他一些隐含在数据中的普遍的数据特征,从而得到提高土地产能核算成果利用效率的规律。     

条带开采地表沉陷预计参数的确定

概率积分法是条带开采地表移动和变形预计常用的方法,而概率积分法预计的精度取决于其预计参数的确定。以国内大量的条带开采实测资料为基础,应用相似理论对条带开采地表沉陷的相似现象进行了模糊聚类分析,计算出了条带开采地表沉陷预计参数。根据所得条带开采地表沉陷相似现象的分类及其地表沉陷预计参数,应用模式识别对待求条带开采地表沉陷预计参数进行了求取。工程实例表明,用模糊优化确定的预计参数进行条带开采地表移动和变形预计,其预计结果更加可靠、准确。     

Numerical modelling of deep sea air-lift

Deep sea air-lifting of solid particles from depth of 1600 m is simulated with a mathematical model of the three-phase flow in an upward pipe. The computations are carried out for an axisymmetric domain in a transient way. Phase distributions, pressure and velocity profiles together with flow rates for all phases are presented and analysed. The influence of the pipe diameter on the air-lift efficiency was studied for air-lift pipes of different lengths and found to be significant. The lifting efficiency increases with the increase of the pipe diameter due to the reduction of the wall friction influence on the flow. In addition, the efficiency also increases with the increase of the solid particles volume fraction at the inlet. The presented numerical model can be utilized during various stages of the design of the air-lift pumps to help answer fundamental questions on the process, and during their operation to select optimal process parameters and to address possible problems.     

Otolith chemical signature and growth of Chaetodon speculum in coastal areas of New Caledonia

Coral reefs are one of the most diverse ecosystems on Earth. They are currently exposed to increasing levels of anthropogenic perturbations. Several recent reviews point to the lack of good indicators for these perturbations especially to monitor their effects on fish populations or fish assemblages. The SW lagoon of New Caledonia is an ideal location to test indicator species in this context as contrasting sites are present within a small geographical range. This study analysed fish from four sites, one with heavy industrial pollution, another dominated by domestic waste, a third with historic mining activities, and the fourth as a control. The butterfly fish, Chaetodon speculum, was chosen to determine C. speculum's potential as an indicator species due to its link to coral, its sedentary behaviour and its wide geographical distribution. The size distribution, growth rate, age distribution and whole otolith composition were analysed at each site. Age and mean growth rate were analysed from daily increments of the otoliths. The concentrations of eight elements (Li, Mg, Co, Ni, Cu, Rb, Sr, and Ba) were measured by ICP-MS in the otoliths of a subset of individuals. The sites under anthropogenic impact were distinct from the control site by fish size frequencies, age distributions, and the chemical content of their otoliths. The chemical elements Mg, Co, Ni, Cu, and Rb showed differences amongst sites. Fish belonging to the sites furthest from Nouméa could be discriminated in nearly 80% of samples or 60% of the cases when otolith weight or fish age respectively were taken into account. Ni concentrations of the otoliths were also higher in the bays where water concentrations of this element were known to be higher, but these differences were no longer significant once corrected for otolith weight. These results should be mitigated by the fact that: (1) despite significant differences between sites in age distribution and size frequencies there were no differences in growth rates or body condition; (2) differences in age or size were not correlated to perturbation levels; and (3) discrimination between sites based on chemical levels in the otoliths, even though significant, was not sufficient to identify the origin of the fish at a level useful for screening tests. The hypothesis that environmental differences between sites would be reflected in the otolith chemical composition is therefore not fully supported by our results.