Hazard distribution and risk assessment in the network systems

In the age when transport flows in the railway and road systems, information flows in the internet channels, etc. intensify, hazard distribution in the network systems becomes a more relevant and important issue. In the paper various theoretical hazard type distributions in the network systems are analysed. Conditions and assumptions that hazard in the network system cells would settle and became steady are defined. Cases are analysed, when hazard is initiated in one or several network nodes, while in other nodes hazard is decreased, i.e. they have immunity to the hazard. In all cases hazard distribution equilibrium equations are constructed and their solutions‘ existence conditions are defined. Theoretical results are illustrated by simulation of hazard fuel transportation in the Lithuanian roads. It is shown that using this methodology it is possible to construct an algorithm, which enables to operate and decrease fuel transportation hazard and risk. The novelty of the work is associated with employing Markov process to describe hazard distribution mechanism and to determine limited hazard distribution in the nodes of networks. The hazard of tank trucks in the network of Lithuanian roads has been assessed for the first time.     

粤西河流阶地的分布与特征

依据广东西部超过18条河流、39处河流阶地、至少35个14C、热释光的冲积层测龄数据等情况,可知粤西最多有4级河流阶地(不包括湛江组和北海组阶地);多数河流最高阶地靠近现代主河床分布,深切曲流中有河流阶地,反映近数十万年来河床改道不大;西江在封开有广东高度最高(76 m)的河流阶地,而广东高度最高的地下河阶地是111 m,大致显示出地面与地下剥蚀强度的差异;通常山区河流长度越大,河漫滩和河流阶地的高度越大,河流阶地的级数和级别也常增加;在河流上游的下段和中游的上段,河流阶地的高度最大且级数也最多;在晚更新世之前与后,河谷中下游地区的新构造运动趋势由上升变为稳定或沉降;连滩盆地是广东全新世构造沉降最典型的山间盆地。     

西北诸河区各省(区)地下水资源量评价及其分布特征

采用1980～2000年期间资料分析、计算了西北诸河区各省(区)地下水资源量,并结合降雨、水文地质条件及人类活动影响全面阐述了其分布特征,以期为西北诸河区水资源规划和开发利用提供依据,为西北地区社会经济发展服务.     

孔斜的地质因素分析

通过钻孔测斜成果与地质成果的对比分析，认为地层的地质特征是地层造斜性质的根本因素；借助地质资料．可以对地层的造斜性质及造斜强度做出及时、有效的预测与评价，并据此对该钻孔所揭露地层进行了统一分类；另外还指出了在高精度垂直钻孔施丁巾塔式钻具组合的适用范围。     

河南关山国家地质公园崩滑流地质灾害成因分析

河南关山国家地质公园于2005年9月被国土资源部批准成立,该公园位于河南辉县市西北的太行山区。地质公园由关山、八里沟、回龙、万仙山和宝泉5大园区组成,地质环境条件复杂。随着景区建设的大力进行,地质灾害频繁发生,类型众多,主要有地面崩塌、滑坡、泥石流等,严重威胁人民生命财产的安全,给公园建设、地区经济发展造成了重大损失。文章在野外大量调查和室内分析研究的基础上,以关山、八里沟园区为例详细阐述了地质灾害特征,从地形地貌、地层岩性、人类工程活动、气象等方面探讨了地质灾害形成机理;基于公园地质灾害评估工作的特殊性,提出了相关建议,为关山国家地质公园及周边其它景区的地质灾害防治工作提供科学依据。     

Diatoms from the genus Achnanthidium in flowing waters of the Appalachian Mountains (North America): Ecology, distribution and taxonomic notes

Diatoms from the genus Achnanthidium are abundant in rivers, streams, and springs of the Appalachian Mountains. They inhabit clean and polluted waters, including those affected by acid mine drainage. The identification of Achnanthidium taxa is difficult due to their small cell size and insufficient information in the diatom floras. We studied the taxonomy and ecology of Achnanthidium in Appalachian rivers by analyzing a data set of benthic diatom samples and corresponding water chemistry data collected during several water-quality surveys from 181 sampling sites. Ten species were identified using scanning electron and light microscopy: A. alpestre (Lowe & Kociolek) Lowe & Kociolek, A. atomus (Hustedt) Monnier, Lange-Bertalot, & Ector, A. deflexum (Reimer) Kingston, A. duthii (Sreenivasa) Edlund, A. eutrophilum (Lange-Bertalot) Lange-Bertalot, A. cf. gracillimum (Meister) Lange-Bertalot, A. cf. latecephalum Kobayasi, A. minutissimum (Kützing) Czarnecki (sensu lato), A. reimeri (Camburn) comb. nov., and A. rivulare Potapova & Ponader. The distribution of common taxa in relation to water chemistry was studied by fitting non-parametric regression models (generalized additive models, GAM, and non-parametric multiplicative regression models, NPMR) to species relative abundances. Studied Achnanthidium species differed considerably in their responses to water chemistry. These results suggest that species-level identifications will lead to more accurate bioassessments.     

论地质遗迹资源的价值及资产化管理

从地质遗迹资源的属性特征进行考虑,探讨了地质遗迹资源价值的内涵和构成,而正确理解地质遗迹资源价值的内涵和其价值构成是实行资产化管理的基础。所谓地质遗迹资源资产化管理,就是遵循地质遗迹资源的自然规律,按照地质遗迹资源资产的特点,从资源的开发利用到资源的生产和再生产,按照经济规律进行投入产出管理。对地质遗迹资源,实行有偿开发利用、有偿使用制度,将开发利用权逐步推向市场,将其收益再投入于资源环境事业;建立起的核算制度、规划制度、补偿制度和监督制度,最后形成以资源养资源、形成资源产业的良性循环,为社会提供更好的经济效益和良好的生态环境。     

甘肃公婆泉铜矿区植物地球化学特征

公婆泉铜矿区植被属荒漠植被类型,主要产出红沙（Ｒｅａｕｍｕｒｉａ ｓｏｏｎｇｒｉｃａ）、木本猪毛莱（Ｓａｌｓｏｌａ ａｒｂｕｓｃｕｌａ）及细枝盐爪爪（Ｋａｌｉｄｉｕｍ ｇｒａｃｌｅ）３种群落。植物可分为富Ｋ、Ｎａ贫Ｃａ、Ｍｇ和富Ｃａ、Ｍｇ贫Ｋ、Ｎａ两种生物地球化学类型。矿区植物中元素平均含量及变化系数大于背景区;元素含量矿区呈偏对数正态或双峰分布,背景区呈对数正态分布。Ｎａ、Ｋ、Ｍｇ、Ｃｕ、Ｐｂ、     

Spatial distribution pattern of ore forming elements in the Bayan Obo deposit and exploration implicationsSCIEI北大核心CSCD

白云鄂博矿床是全球最大的稀土-铌-铁矿床。本文对白云鄂博矿床主矿、东矿赋矿白云岩、不同类型稀土-铌-铁矿石和富钾板岩进行详细的野外地质调查和地球化学成分分析,揭示了成矿元素稀土、铌和主要蚀变元素钠、钾、氟、磷的空间分布规律。结果表明,白云鄂博主采坑比东采坑具有更高的稀土含量,矿体由外围向中心、由浅部向深部有明显的稀土元素(尤其是中-重稀土元素)富集的现象,矿体深部具有更大的中-重稀土元素找矿潜力;成矿元素铌的异常范围与重稀土的异常范围相吻合,表明二者具有密切的共生关系;蚀变元素氟的异常范围与稀土-铌-铁矿体的分布范围相一致,是重要的沉淀成矿元素;蚀变元素磷的异常要明显超过稀土-铌-铁矿体的分布范围,是重要的迁移载体元素;钠化蚀变主要出现在矿体下盘含稀土白云岩中,代表早期高温蚀变过程;钾化蚀变主要发育在矿体上盘的富钾板岩中,代表晚期低温蚀变过程;钾化、萤石化及磷的异常是碳酸岩型稀土矿床最主要的浅部和外围示矿指标。     

REE characteristics of the coal in the Erlian Basin,Inner Mongolia,China, and its economic value

The rare earth elements (REE) content of the coal in the Erlian Basin was determined by inductively coupled plasma mass spectrometry (ICP-MS), and it turns out that the REE content from different geological age shows a significant difference: The REE content of the coal in the Jurassic Alatanheli Group is from 152.05×10⁻⁶ to 1416.21×10⁻⁶, with an average value of 397.31×10⁻⁶, and the relative concentration factor shows enriched; the REE content of the coal in Early Cretaceous Baiyanhua Group is from 20.65×10⁻⁶ to 102.53×10⁻⁶, the mean value is 49.06×10⁻⁶, and the relative concentration factor shows normally. The REE distribution patterns samples in Jurassic and Cretaceous shows the difference: The REE pattern in Jurassic coal mainly manifests as H-type distribution, with the Y, Lu positive anomaly, it is speculated that the fluid carried REE ions into the coal-bearing basin, and the heavy REE gather in the coal due to the different chemical properties of each REE. The REE occurrence mode is presumed to be mainly organic. Flat type is the REE main distribution pattern in Cretaceous coal. The REE patterns in clastic rocks of the roof, parting and floor of coal seam are similar to the REE patterns in the coal and the most possible reason is that the REE main source is from the clastic rock. It showed that the coal of the Early Jurassic, especially of Amugulen coalfield has resource value.