Textural segmentation of digital rock images into bedding units using texture energy and cluster labels

The texture of digital rock images, as recorded, for instance, with borehole imaging devices, is shown to reflect different bedding types. Textural segmentation of borehole images, therefore, subdivides the recorded sequence into bedding units. We show that a textural segmentation algorithm based on the concept of texture energy achieves good results when compared with synthetic as well as real data in which petroleum geologists have performed zonations on cores. Texture energy involves filtering of the original image with a set of texture sensitive masks. The filtering is done as a finite convolution over the size of the masks. On the resulting images the variance is computed over a relatively large sliding window, which, in its practical implementation, covers the full width of the image. The resulting nine one-dimensional curves are then clustered hierarchically into a user-determined number of image texture or lithological bedding classes. Principal component analysis previous to clustering can be used to reduce redundancy in the data. A recurring and relatively ill-defined problem in this field are macro-textures, i.e., the cyclic interbedding of two or more bedding types. We show that sliding Fourier transforms and variable mask scale can successfully address the zonation of macro-textures. In general, the method gives best results with mask sizes equivalent to 2–4 centimeters, reflecting the length scale at which the investigated geological bedding seems to have its highest variation.     

地下开采引发地面沉陷的未确知聚类预测方法

对未确知聚类预测法进行优化,并将其应用于开采地面沉陷的预测研究。采用开采地面沉陷的实测数据按最大沉陷量进行分类,利用各分类影响因素的均值表示各分类中心,并确定各影响因素的未确知测度函数。由待测对象指标的综合未确知测度与各分类指标的未确知测度间的距离来确定待预测对象所属等级,给出了预测值的计算公式。经计算验证,该方法的正确率为75％。但在实际应用中,为了保证地表建筑设施等更加安全,允许预测级高判,则正确率可达100％。针对某铁矿一观测点进行预测,并与实测数据比较,结果表明,未确知聚类预测的结果是令人满意的,为开采地面沉陷的预测提供了一种新思路。     

Clustering of groundwater chemistry data with implications for reservoir appraisal in West Siberia

Division of sedimentary strata according to groundwater chemistry is discussed with implications for petroleum reservoir potential. It is suggested to process multiparametric water chemistry data from West Siberia using formalized clustering techniques. The efficiency of this approach has been tested for Neocomian clinoform reservoirs with reference to regional-scale appraisal and subregional petroleum division.     

Missing precipitation data estimation using optimal proximity metric-based imputation,nearest-neighbour classification and cluster-based interpolation methods

Abstract

New optimal proximity-based imputation, K-nearest neighbour (K-NN) classification and K-means clustering methods are proposed and developed for estimation of missing daily precipitation records. Mathematical programming formulations are developed to optimize the weighting, classification and clustering schemes used in these methods. Ten different binary and real-valued distance metrics are used as proximity measures. Two climatic regions, Kentucky and Florida, (temperate and tropical) in the USA, with different gauge density and network structure, are used as case studies to evaluate the new methods. A comprehensive exercise is undertaken to compare the performances of the new methods with those of several deterministic and stochastic spatial interpolation methods. The results from these comparisons indicate that the proposed methods performed better than existing methods. Use of optimal proximity metrics as weights, spatial clustering of observation sites and classification of precipitation data resulted in improvement of missing data estimates.

Editor D. Koutsoyiannis; Associate editor C. Onof     

Water ecological function zoning in Heihe River Basin,Northwest China

Rapid urbanization coupled with increase in population growth rate in recent years has accelerated economic pressure on the ecological environment leading to a gradual deterioration of global and regional environment. This has particularly resulted into water contamination and shortage of water resources thus posing a great threat to human survival. How to guaranteeing sustainable use of basin water resources has attracted more and more attentions. The Heihe River Basin is the secondary longest river inland China and the significantly water source of Hexi Corridor, the problem of water pollution, ecological environment deterioration and the shortage of water has seriously threatened the ecological system of the Heihe River Basin. In this study, through depicting the characteristics of natural environment, human activities, water ecosystem services and other factors in Heihe River Basin we delineated the water ecological function in Heihe River using the principal components analysis and the K-means clustering method. In the study, Heihe River Basin is divided into 3 primary level areas and 8 secondary level sub-areas. Water ecological characteristics analysis showed that the spatial distribution of the water ecological function of Heihe River Basin was not uniform, which are mainly showed in three aspects, function of windproof and sand fixation, function of soil erosion prevention and function of water sources conservation. The results of this study can provide effective and scientific theoretical references for the integrated water sources management and the ecological function optimization of the Heihe River Basin.     

Statistical analysis for the hydrogeological evaluation of the fracture networks in hard rocks

The hydrogeological effectiveness of fracture sets is determined and evaluated by the fuzzy c-mean and hierarchical clustering. These cluster analyses combine the geological spatial attributes and the hydraulic relevant attributes of fractures. Based on the results of the clustering the fracture set volumes are estimated.     

基于混合像元分类的城市地表覆盖时空演变格局研究

基于可能性理论和中心点聚类方法的原理,提出可能性C中心点(PCRMDD)聚类方法.运用该法对上海市中心城区Landsat ETM+遥感影像进行混合像元分类,并自动获取地物端元盖度分布图及影像端元光谱,解混精度的检验结果表明该方法能在噪声环境下获得精度较高的分类结果和端元光谱信息.根据各时期研究区域的地表覆盖分类结果,应用GIS空间分析功能,进一步探讨在城市化过程中上海中心城区土地利用时空演变格局,揭示城市用地空间扩展模式.     

鄱阳湖湖区核心生态系统服务功能空间辨识

根据千年生态系统评估提出的评估概念框架,考察鄱阳湖湖区生态系统服务功能的形成机理,构建了鄱阳湖湖区生态系统服务功能表征指标体系,并利用多主题1km栅格成分数据模型,采用主成分分析法提取了鄱阳湖湖区核心生态系统服务功能综合表征指标。在此基础上,通过空间聚类分析,形成了鄱阳湖湖区生态系统服务功能分区,实现了各分区单元上生态系统服务功能的空间辨识。研究结果表明,鄱阳湖湖区核心生态系统服务功能包括了支持功能、供给功能、调节功能和文化功能,它们在空间上的排列组合形成了鄱阳湖湖区的10个生态系统服务功能分区,本文辨识了鄱阳湖湖区精细栅格水平上核心生态系统服务功能之间的差异及其空间分异特征。本研究提出的生态系统服务功能分区及其空间辨识方案,为鄱阳湖湖区生态系统服务功能的开发与保育提供决策参考信息。     

Geometric-based approach for integrating VGI POIs and road networks

Integrating heterogeneous spatial data is a crucial problem for geographical information systems (GIS) applications. Previous studies mainly focus on the matching of heterogeneous road networks or heterogeneous polygonal data sets. Few literatures attempt to approach the problem of integrating the point of interest (POI) from volunteered geographic information (VGI) and professional road networks from official mapping agencies. Hence, the article proposes an approach for integrating VGI POIs and professional road networks. The proposed method first generates a POI connectivity graph by mining the linear cluster patterns from POIs. Secondly, the matching nodes between the POI connectivity graph and the associated road network are fulfilled by probabilistic relaxation and refined by a vector median filtering (VMF). Finally, POIs are aligned to the road network by an affine transformation according to the matching nodes. Experiments demonstrate that the proposed method integrates both the POIs from VGI and the POIs from official mapping agencies with the associated road networks effectively and validly, providing a promising solution for enriching professional road networks by integrating VGI POIs.     

旅游地饮食符号经济：地方符号营造与路径依赖

饮食符号是旅游目的地符号系统的重要组成部分,以地方特色饮食为基础的旅游餐饮也是旅游地的重要经济活动。文章以阳朔啤酒鱼为例,分析旅游地饮食符号经济的特点与形成机制。研究发现,1）旅游地饮食符号的形成既是对地方特色的营销与建构,也是特定饮食产品生产与消费集聚的路径依赖结果。2）从饮食生产的角度,就地取材、利润高、制作工艺简单等特点使啤酒鱼餐饮能够大规模、低成本地发展;从饮食消费的角度,啤酒鱼既具有地方特色又能够被大众口味所接受,同时满足游客的符号性和支持性的餐饮体验。3）消费性服务业的集聚能够营造良好的氛围并产生累积吸引力,使得啤酒鱼的营销成本更低、销量更高,从而形成正反馈机制。