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塔里木河下游表层土壤盐分空间变异和格局分析

土壤盐化是造成塔里木河下游天然植被退化的主要因素之一,应用地统计学方法,分析了塔里木河下游表层土壤盐分的空间异质性特征。结果表明,研究区土壤含盐量普遍较高,表层土壤盐分呈现强变异性和具有较强的空间自相关格局,主要受结构性因子影响。空间插值结果表明,表层土壤盐分整体上呈现出条带状的分布格局,局部地区表现出斑块状的空间变异特征。从河流纵向看,表层土壤盐分“两头高,中间低”;从河流横向看,离河道越远,盐分越低,地下水埋深逐渐加深,物种数和植被盖度分别表现出与之相应的递减趋势。     

古尔班通古特沙漠南缘主要土壤化学特征的空间异质性

运用半方差分析和Kriging插值研究了古尔班通古特沙漠南缘典型沙垄至垄间地浅层土壤(0～30 cm)pH值、电导率、有机质及全N含量的空间变异特征。结果表明,土壤pH值、有机质及全N含量服从正态分布,电导率符合对数正态分布。半方差分析结果显示,土壤pH值、电导率符合球状模型,而有机质、全N含量符合高斯模型。除全N具有中等空间相关性外,其余的都具有强空间相关性。用Kriging插值法对未测点的参数含量进行最优估计,绘制含量分布图,从而更直观地反映研究区土壤参数空间变异特征。     

基于Kriging算法的三棱柱地质体三维可视化实现

采用了一种基于Kriging算法的三棱柱三维可视化方法对地质体进行了可视化,其基本思想是首先用Kriging算法将空间任意的离散的数据点生成规则的点数据,将点数据划分成多个三棱柱,然后以三棱柱为基本单元进行地质体可视化。本系统是在Visual C++/OpenGL平台上开发而成,具有精度高、交互好的特点,经过实践运行,切实可行。     

Use of an expert system to map forest soils from a geographical information system

Abstract

Mapping forest soils using conventional methods is time consuming and expensive. An expert system is described and applied to the mapping of five forest soil-landscape units formed on a single granitoid parent material. Three thematic maps were considered important in influencing the distribution of soils. The first showed the distribution of nine classes of native eucalypt forests, and the second and third were derived from a digital elevation model and represented slope gradient and a soil wetness index combined with topographical position. These layers were input to a raster based geographical information system (GIS) and then geometrically co-registered to a regular 30 m grid. From a knowledge of soil distributions, the relationships between the soil-landscape units and the three data layers were quantified by an experienced soil scientist and used as rules in a rule based expert system. The thematic layers accessed from the GIS provided data for the expert system to infer the forest soil-landscape unit most likely to occur at any given pixel. The soil-landscape map output by the expert system compared favourably with a conventional soil-landscape map generated using interpretation of aerial photographs.     

The role of visualisation in the choice of stationary non-separable space–time covariance functions: an application to air pollution data

Modelling spatio-temporal dependencies resulting from dynamic processes that evolve in both space and time is essential in many scientific fields. Spatio-temporal Kriging is one of the space–time procedures, which has progressed the most over the last few years. Kriging predictions strongly depend on the covariance function associated with the stochastic process under study. Therefore, the choice of such a covariance function, which is usually based on empirical covariance, is a core aspect in the prediction procedure. As the empirical covariance is not necessarily a permissible covariance function, it is necessary to fit a valid covariance model. Due to the complexity of these valid models in the spatio-temporal case, visualising them is of great help, at least when selecting the set of candidate models to represent the spatio-temporal dependencies suggested by the empirical covariogram. We focus on the visualisation of the most interesting stationary non-separable covariance functions and how they change as their main parameters take different values. We wrote a specialised code for visualisation purposes. In order to illustrate the usefulness of visualisation when choosing the appropriate non-separable spatio-temporal covariance model, we focus on an important pollution problem, namely the levels of carbon monoxide, in the city of Madrid, Spain.     

土壤饱和导水率空间预测的不确定性分析

当土壤转换函数应用于土壤水力性质估计时,对于预测值的不确定性往往容易被忽视。为了有针对性地提出减少这种不确定性的方法和措施,提高土壤转换函数的实际应用能力,以两种现有的土壤转换函数(Vereecken和HYPRES模型)为例,将其应用于山东省平度市土壤饱和导水率的空间预测,并利用拉丁超立方抽样(LHS)方法对预测结果的不确定性进行了分析。结果表明,饱和导水率空间预测的不确定性主要来源于土壤基本性质的空间插值误差和土壤转换函数自身的预测误差。当Vereecken模型应用于饱和导水率空间预测时,预测结果的不确定性主要由土壤基本性质空间插值误差所决定,土壤转换函数预测误差的影响较小,而HYPRES模型则是受二者的双重影响。     

Kriging法在区域滑坡危险性评价中的应用

区域滑坡危险性评价是进行区域滑坡风险性研究的基础.由于滑坡演变机制的复杂性,使得目前基于独立分析各因素对滑坡影响的“白箱”型评价模式具有一定风险性,同时这类评价方法要求对滑坡演变和研究区地质地理背景进行非常细致的监测和调查.为了克服这些问题,文章提出了一种基于Kriging插值理论的“黑箱”型评价方法.在利用该方法对历史滑坡点的规模进行评价的基础上,利用Kriging插值法获取研究区的滑坡危险性区划,并以四川省苍溪县为例,验证了运用该方法进行区域滑坡危险性评价的可行性.     

逐点激发井深设计网格化方法的选取

随着地震勘探的不断深入,地震资料采集要求主频足够高,频带足够宽,能量足够强,而逐点激发井深设计有助于获得满意的地震信号,要设计合理的井深,网格化方法的选取非常重要。这里首先介绍了Surfer软件中十二种网格化方法原理特征,以及在逐点井深设计上的应用;然后运用Surfer软件中不同的插值方法,对BIN12工区岩性数据进行网格的效果对比与网格的密度探讨,选取了最佳的网格化方法;最后针对几种网格化方法进行井深对比试验,通过资料分析,说明了设计的井深合理,选取网格化方法的效果较好。