Geostatistical simulation of random fields with bivariate isofactorial distributions by adding mosaic models

This work deals with the geostatistical simulation of a family of stationary random field models with bivariate isofactorial distributions. Such models are defined as the sum of independent random fields with mosaic-type bivariate distributions and infinitely divisible univariate distributions. For practical applications, dead leaf tessellations are used since they provide a wide range of models and allow conditioning the realizations to a set of data via an iterative procedure (simulated annealing). The model parameters can be determined by comparing the data variogram and madogram, and enable to control the spatial connectivity of the extreme values in the realizations. An illustration to a forest dataset is presented, for which a negative binomial model is used to characterize the distribution of coniferous trees over a wooded area.     

基于正交多项式逼近法的岩土参数概率分布推断

针对岩上参数样本容量较大的情况,基于数值分析中的逼近原理,直接根据试验样本值,运用勒让德正交多项式来拟合岩土参数的概率密度函数,并用K-S检验法从理论上证明所求的密度函数的正确性和实用性。     

Conditional Simulation of Random Fields with Bivariate Gamma Isofactorial Distributions

This work focuses on a random function model with gamma marginal and bivariate isofactorial distributions, which has been applied in mining geostatistics for estimating recoverable reserves by disjunctive kriging. The objective is to widen its use to conditional simulation and further its application to the modeling of continuous attributes in geosciences. First, the main properties of the bivariate gamma isofactorial distributions are analyzed, with emphasis in the destructuring of the extreme values, the presence of a proportional effect (higher variability in high-valued areas), and the asymmetry in the spatial correlation of the indicator variables with respect to the median threshold. Then, we provide examples of stationary random functions with such bivariate distributions, for which the shape parameter of the marginal distribution is half an integer. These are defined as the sum of squared independent Gaussian random fields. An iterative algorithm based on the Gibbs sampler is proposed to perform the simulation conditional to a set of existing data. Such ‘multivariate chi-square’ model generalizes the well-known multigaussian model and is more flexible, since it allows defining a shape parameter which controls the asymmetry of the marginal and bivariate distributions.     

阿塔卡马海沟表层水颗粒有机碳与微生物群落呼吸作用的时空变化研究

海沟是全球大洋体系的重要组成部分。研究这一极端环境的生物地球化学循环过程有助于我们进一步理解海洋的物质循环。前期研究发现,海沟表层水体的初级生产力(NPP)对海沟沉积物埋藏的有机碳性质具有重要影响,但是,颗粒有机碳(POC)在沉降过程中被微生物呼吸和降解的过程尚不清楚。因此,本研究利用2018年春"太阳号"阿塔卡马海沟(Atacama Trench)国际联合航次SO261所采集的表层水样品,测试其中POC浓度、C/N、δ¹³C、δ¹⁵N等参数,并结合0.2—0.8、0.8—3.0、>3.0μm三种粒径微生物群落呼吸(microbial community respiration,MCR)速率测试,探究其日变化模式及不同站位的空间变化模式,进而衡量微生物对POC的呼吸降解作用。结果表明,该海域表层水中对POC降解占主导作用的微生物类群粒径为0.8—3.0μm;24 h时间序列实验表明MCR随时间呈现"M"型曲线的双峰变化模式,且和C/N、δ¹³C、δ¹⁵N等参数变化趋势吻合,表明同一站位的呼吸速...     

北部湾悬浮颗粒现场剖面测量与粒度分析

应用LISST-100现场激光粒度仪于2006年8月在北部湾首次进行了悬浮颗粒剖面测量,获得了整个垂直剖面的悬浮颗粒现场粒径分布、体积比和光衰减系数,并计算得到了垂直剖面的总浓度和各层的粒度参数及粒级组成。结果表明,悬浮颗粒自上而下均为双峰分布,只是表层的双峰位于5．57μm和34．4μm,中间层和底层的双峰位于34．4μm和129．4μm。悬浮颗粒体积比自上而下逐渐增大,到达底层时达到最大。光衰减系数的变化趋势与颗粒体积比非常相似,且二者存在很好的相关性,相关系数高达0．98。整个垂直剖面上,表层粒度较细,随着深度增加粒度逐渐变粗,到达底层时粒度最粗。悬浮体总体上正偏,峰态值较小,分选较差。粒度以砂为主,粉砂含量次之,不舍黏土。     

中国主要红树林表层沉积物中重金属的分布特征及其影响因素

红树林生态系统处于海洋与陆地的动态交界面,遭受海水周期性浸淹,因而在结构与功能上具有既不同于陆地生态系统,也不同于海洋生态系统的特性。红树林作为初级生产者,为林区动物、微生物提供食物与营养,为鸟类、昆虫、鱼虾等提供栖息、繁衍场所。因此,红树植物对维护生态平衡、保护海岸生态系统起着重要的作用[1-2]。近年来由于工农业的发展,沿海城市人口与经济的增长,大量的污染物汇集于河口、海湾区,使这些地区的重金属污染日趋严重,特别是在直接向红树林区倾污排废的地区更是如此。     

苏里格气田西区地层水成因、分布规律与控制因素

苏里格气田西区气井产水严重,地层水成因、分布规律及控制因素不明确,成为制约该区致密砂岩气开发的关键科学问题.在大量测井数据、生产动态数据收集的基础上,分析了苏里格气田西部地层水性质及地球化学特征,结果发现:地层水矿化度高,整体属于盐水;水型主要为CaCl2型;pH值范围为6～6.9,呈弱酸性.分析认为:1)地层水主要为...     

某城地下水地表水联合优化调度管理模型实例

本文阐述了利用响应矩阵法建立地下水、地表水优化调度管理模型的约束条件、并用目标规划法进行管理模型计算的一个实例。这是一个位于黄河之滨的城市,市内有许多名泉。近年来大量开采地下水已使泉水干涸,而黄河水在某些月份含沙量很大,不宜全年开采。本计算求得了这个城市几个水源地与黄河水在一个枯水年(或丰水年)内各月份的优化开采量分配方案,使之既可保证泉水全年喷涌;叉可提供所需水量。