A graphic expression of salinization and pollution of groundwater The case of Israel's groundwater

 Anthropogenic activities create various contaminated leachate, which can migrate downward from the vadose zone to groundwater, transferring contaminants, including some hazardous ones. When these various sources of contamination influence the groundwater aquifer simultaneously, the effects of contamination are enhanced. The major concern of this study has been to determine whether the shape of a groundwater chlorograph might be the result of such deterministic effects as accumulation of one or more particular processes of groundwater contamination, and how this might relate to specific hydrological situations. This study proposes a classification of groundwater contamination on the basis of properties of the main components of groundwater quality graphs and the corresponding hydrogeological/environmental situation. The study further suggests that contamination of groundwater in any hydrogeological situation (e.g. sea water) may be graphically expressed. A variety of chlorographs and nitrographs, representative of various groundwater aquifers sampled from a number of wells throughout Israel attest to this. The study thus indicates that groundwater quality graphs may be considered as a complementary tool for groundwater quality control and better understanding aquifer situations.     

A bimodal four‐parameter lognormal linear model of soil water repellency persistence

Soil water repellency may be characterized in terms of the delayed infiltration time of a water droplet resting on the soil surface, which is, water drop penetration time (WDPT), or repellency persistence. Such repellency persistence varies nonlinearly with soil water content (θ_g), although no models have been proposed to reproduce the variation of WDPT with θ_g in soils. Dynamic factor analysis (DFA) is used to identify two common patterns of unexplained variability in a scattered dataset of WDPT versus θ_g measurements. A four‐parameter lognormal distribution was fitted to both common patterns obtained by DFA, and these were combined additively in a weighted multiple linear bimodal model. We show how such an empirical model is capable of reproducing a large variety of WDPT versus θ_g curve shapes (N = 80) both within a wide range of measured WDPTs (0–17 000 s) and for samples with organic matter content ranging from 21·7 to 80·6 g (100 g)^?1. Copyright © 2009 John Wiley & Sons, Ltd.     

DEPENDENCE BETWEEN FUSION TEMPERATURES AND CHEMICAL COMPONENTS OF A CERTAIN TYPE OF COAL USING CLASSICAL,NON-PARAMETRIC AND BOOTSTRAP TECHNIQUES

A statistical study of the dependence between various critical fusion temperatures of a certain kind ofcoal and its chemical components is carried out.As well as using classical dependence techniques(multiple,stepwise and PLS regression,principal components,canonical correlation,etc.)together withthe corresponding inference on the parameters of interest,non-parametric regression and bootstrapinference are also performed.     

面向自动综合的河系结构化模型研究

针对地图上河流的自动综合,建立了基于河段的河系结构化数据模型,该模型充分考虑了河段与河段、河段与面状水系要素之间的空间关系,以及河系河段的层次关系;建立了一种面向自动综合的河系结构化数据模型,模型包含了大量水系综合所需要的信息.基于上述数据模型,设计了一种方便快捷的河系结构化算法,该算法较好地克服了现有河系结构化算法只针对河流以及只适用于形态相对简单的河系的缺陷,较为全面地考虑了河系结构中出现的各种复杂问题,具有较强的实用性.     

构造叠加晕结合五方位测井在甘肃省贾公台金矿寻找深部矿体中的应用

贾公台金矿为甘肃党河南山地区规模最大的金矿床。为探索深部矿化、寻找盲矿体,在贾公台矿段开展原生晕研究,建立原生叠加晕轴向分带,发现贾公台金矿具反向分带特征。说明该矿体深部存在多期次成矿作用。结合地井五方位测井,预测深部3 200 m标高以下存在盲矿体。深部钻探发现了厚度大、品位高的多层金矿体,新增金资源量12吨,取得了显著找矿成果。构造叠加晕结合地井五方位测井成功圈定贾公台金矿深部矿体的实践,对同类矿床的深部找矿具有重要指导意义。     

新疆哈密大青山金矿床成矿期构造特征及找矿方向

东天山-北山金矿集区是我国重要的金矿集区之一。近年来,该矿集区东部的大青山金矿综合运用多种勘查方法,取得了显著的找矿成果。为了查明成矿期构造特征,进一步指导找矿,通过对已取得勘查资料的综合整理及矿区成矿构造的详细观测解剖,采用野外观察与室内分析相结合、宏观与微观相结合的研究方法,对控矿结构面、成矿期的构造特征及矿体分布规律进行研究。研究表明：大青山金矿床主矿体均位于NEE走向的压扭性逆断层中,主含矿断层受控于矿区北西部的F13;主矿体具有薄而富、尖灭再现的特征,整体向SW侧伏,矿体围岩蚀变强烈,主要为绢云母化、绿泥石化、碳酸盐化;成矿期构造应力场为NW-SE方向挤压,自现有矿体向SW寻找深部新矿是有意义的。     

Physical parameters identification for full-scale ten-story reinforced concrete building with degrading tri-linear model by modal iterative error correction method

To assess the post-earthquake seismic safety of buildings, it is crucial to predict seismic response, and it is necessary to set the appropriate physical parameters of the response analysis model. Numerous methods have been proposed to identify physical parameters. However, most of them are limited to linear systems, and previous researches on nonlinear systems have difficulties in practical applications. In this paper, a nonlinear response analysis model is identified for a full-scale ten-story reinforced concrete building with the degrading tri-linear stiffness model by the modal iterative error correction (MIEC) method, and the accuracy of this technique is discussed by comparing with the shaking table test.     

JGN型耐高温建筑结构胶抗震加固性能研究

为有效增强建筑结构的抗震性能、提高建筑抗震水平,对JGN型耐高温建筑结构胶抗震加固性能展开研究。将高活性酚醛胺(T－31)作为主固化剂、聚酰胺树脂(PA)为辅助固化剂,结合气相白炭黑、超细石英砂、石棉纤维、纳米材料、环氧树脂等材料,制备JGN型耐高温建筑结构胶。在高温环境下,使用万能试验机分析不同配比条件对结构胶抗震加固性能的影响。测试主要以拉伸强度、压缩强度以及压缩弹性模量为指标。测试结果表明：当固化剂质量比为45∶15、气相白炭黑掺量为4.5%、超细石英砂掺量为10%、石棉纤维掺量为10.5%、纳米SiO₂掺量为3.5%、纳米CaCO₃掺量为2.5%时,JGN型耐高温建筑结构胶的拉伸强度和压缩强度更大,压缩弹性模量得到优化,结构胶的抗震加固性能达到最佳状态。