Estimation of statistical parameters for censored lognormal hydraulic conductivity measurements

Field tests of hydraulic conductivity (e.g., injection test, pumping test, etc.) in low permeability formations are subject to censoring due to the detection limit of the instruments used. An iterative method of estimating the mean and variance of hydraulic conductivity data with a presumed log-normal distribution function is presented. This method accounts for the data that are actually below the lower detection limit (called truncated data) and thus gives distribution parameters that are more representative for the underlying distribution. The proposed method is then tested on two simulated normally distributed random datasets having different variances. The results show that the means and variances estimated by the proposed method are very accurate. Finally, the method is used to estimate the mean and variance of hydraulic conductivity data from single hole water injection tests in a fractured geological formation.     

Estimation of covariance matrix from geochemical data with observations below detection limits

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.     

大别杂岩中混合岩的矿物空间分布研究

介绍了矿物空间分布研究的基本原理及两种统计方法(接触频数法和线切法)。作者对混合岩矿物空间分布的研究表明:(1)前人提出的统计方法存在方法上的缺陷和应用上的局限性,作者推导出矿物接触类型的概率公式;(2)部分浅色体中矿物显示聚集分布的特征,而绝大部分的浅色体中矿物具有分散分布的特点。结合质量平衡和地球化学研究认为:大别杂岩中主体混合岩成因机制是重熔和交代作用。     

云南省禄劝县开发方向的初步研究

云南省禄劝县隶属昆明市辖区,是一个国家级扶贫开发重点县之一.境内河流众多,水资源丰富,但地表切割强烈,山高谷深,坝地仅占总面积的1.6%,复杂的地貌条件严重制约了县域经济的发展.从禄劝县资源优势出发,变劣势为优势,提出发展生态种植业,生态养殖业和生态林果业的持续农业发展方向,使禄劝县发展成昆明市的菜篮子基地,为农民脱贫致富,增加收入提出了一条切实可行的路子.     

城市生态景观的构建研究

运用景观生态学、旅游规划学、城市规划理论来认识城市生态景观并分析其具有和谐性、整体性、多样性、畅达性、安全性、可持续性等特点，阐述以人为本、尊重地域和历史文化、生态、满足市民休闲与游憩需求等构建原则，认为重点抓好自然廊道和斑块等自然生态景观的建设、重视人工廊道和城市建筑密集区的景观效果、完善城市生态景观的空间结构体系等是构建和谐城市生态景观的重要途径。     

海南岛东南海岸带景观生态规划

对海南岛东南海岸带进行了景观生态规划。根据海南岛东南海岸带的自然资源条件与经济运行特点，将研究区划分为4个生态区：近岸热带海洋旅游区；海水养殖区；海岸平原粮牧生态区；生态林业区。各区的生态与社会经济特征不同，在利用与管理各生态区的过程中应该采取不同的对策措施，即加强宣传教育与宏观管理，以重点项目建设为契机，加快生态经济建设，优化生态经济结构。建立生物多样性管护区。