企业内部会计控制弱化及其对策

列举了企业内邵会计控制存在的内部会计系统控制机制不健全，监督、考核机制乏力，财务控制存在漏洞、公司企业治理结构不完善等目前企业内部会计控制现状及重点存在问题。提出了完善企业的内部会计控制环境．不相容职务必须分离，强化监督，督促实施，加强会计基础工作，完善会计电算化管理，规范业务处理程序等具体改进建议。     

邯峰矿区古构造应力场与构造演化

采用共轭剪节理应力反演方法,恢复了邯郸-峰峰矿区晚古生代以来的3期古构造应力场,进而探讨了煤田构造的演化历史,将其分为4大阶段：①中生代早期近NS向挤压,煤系后期改造初动期;②中生代晚期SE-NW向挤压,奠定煤田构造格架的基础;③中生代末至古近纪NW-SE向拉张,煤田构造格架定型;④新近纪以来近东西向拉张,煤田构造的现代活动.     

晋城矿区西区9#煤层赋存规律及沉积环境

以大量勘探钻孔资料为基础,对晋城矿区西区9#煤层赋存规律、成煤古地理环境及其演化史进行了分析与研究,阐述了不同的沉积类型对煤层厚度的控制作用.为该区今后的地质勘探和煤矿开采提供了依据.     

层次分析法(AHP)在三江平原地质环境质量评价中的应用

应用层次分析法(AHP)对影响三江平原环境地质质量的岩石、土壤和水3个子系统分别进行评价，通过分析影响各子系统的主要因子，建立子系统层次结构模型和质量指数数学模型，得出各子系统的质量指数，从而评价出各个子系统的质量状况。在此基础上，建立地质环境系统质量评价的层次结构模型和数学模型，计算出地质环境质量指数，并对该地区的质量状况进行评价，得出三江地区总体环境地质状况是好的结论。     

渭北东部奥陶系岩溶地下水环境同位素特征分析

本文通过对渭北东部岩溶地下水环境同位素组成特征的研究,分析了大气降水、地表水、地下水三者之间的转化关系,并对研究区岩溶地下水的形成进行了初步探讨,认为大气降水是研究区岩溶地下水的补给源,地表水与地下水之间存在水力联系,地表水对地下水的补给占补给水源的74.3%.西部岩溶裸露区为岩溶水的直接补给区,其周边浅埋区为岩溶水的间接补给区,东南部的岩溶中-深埋区为岩溶水的径流排泄区.     

类脂化合物单体碳稳定同位素在古气候环境研究中的意义

类脂化合物极大地扩展了全球变化研究的深度，尤其是单体碳稳定同位素技术在古气候、古环境重建上有着重要作用。基于近些年来国内外的最新研究成果，就类脂化合物单体碳同位素在古气候环境方面的应用研究进行了较为全面的评述。已有研究表明利用类脂化合物单体碳同位素组成可以追溯到海洋和湖泊环境中陆源有机质的物源，其母源区历史时期 C3、C4植被的变迁以及区域性的古气候、古环境重建。     

三峡深水高土石围堰工程的渗流研究

为了对三峡工程二期高土石围堰防渗设施的布置方案及其阻渗效果进行比较,采用有限元法对二期高土石围堰在不利的运行工况下的渗流场进行数值分析.比较了双排混凝土防渗墙方案、单排塑性混凝土低防渗墙加土工膜斜墙和单排厚塑性混凝土防渗墙等3种方案,分别采用恒定与非恒定模型计算,对立面二维和三维绕渗及防渗墙局部开裂等不利工况分别进行了数值模拟.结果表明:三方案均可有效抑制渗流场,双排混凝土防渗墙的防渗效果最好;墙体的局部开裂仅对局部区域的流场有影响.非恒定数值分析表明,堰体、基础不均匀沙石料及基坑抽水速度对渗流场影响极大,为保证堰体稳定,应限制基坑水位降落速度小于2 m/d.     

Outlier detection algorithms and their performance in GOCE gravity field processing

The satellite missions CHAMP, GRACE, and GOCE mark the beginning of a new era in gravity field determination and modeling. They provide unique models of the global stationary gravity field and its variation in time. Due to inevitable measurement errors, sophisticated pre-processing steps have to be applied before further use of the satellite measurements. In the framework of the GOCE mission, this includes outlier detection, absolute calibration and validation of the SGG (satellite gravity gradiometry) measurements, and removal of temporal effects. In general, outliers are defined as observations that appear to be inconsistent with the remainder of the data set. One goal is to evaluate the effect of additive, innovative and bulk outliers on the estimates of the spherical harmonic coefficients. It can be shown that even a small number of undetected outliers (<0.2 of all data points) can have an adverse effect on the coefficient estimates. Consequently, concepts for the identification and removal of outliers have to be developed. Novel outlier detection algorithms are derived and statistical methods are presented that may be used for this purpose. The methods aim at high outlier identification rates as well as small failure rates. A combined algorithm, based on wavelets and a statistical method, shows best performance with an identification rate of about 99%. To further reduce the influence of undetected outliers, an outlier detection algorithm is implemented inside the gravity field solver (the Quick-Look Gravity Field Analysis tool was used). This results in spherical harmonic coefficient estimates that are of similar quality to those obtained without outliers in the input data.     

A parametric study on the impact of satellite attitude errors on GOCE gravity field recovery

In the recent design of the Gravity field and steady-state Ocean Circulation Explorer (GOCE) satellite mission, the gravity gradients are defined in the gradiometer reference frame (GRF), which deviates from the actual flight direction (local orbit reference frame, LORF) by up to 3–4°. The main objective of this paper is to investigate the effect of uncertainties in the knowledge of the gradiometer orientation due to attitude reconstitution errors on the gravity field solution. In the framework of several numerical simulations, which are based on a realistic mission configuration, different scenarios are investigated, to provide the accuracy requirements of the orientation information. It turns out that orientation errors have to be seriously considered, because they may represent a significant error component of the gravity field solution. While in a realistic mission scenario (colored gradiometer noise) the gravity field solutions are quite insensitive to small orientation biases, random noise applied to the attitude information can have a considerable impact on the accuracy of the resolved gravity field models.     

GGM02 – An improved Earth gravity field model from GRACE

A new generation of Earth gravity field models called GGM02 are derived using approximately 14 months of data spanning from April 2002 to December 2003 from the Gravity Recovery And Climate Experiment (GRACE). Relative to the preceding generation, GGM01, there have been improvements to the data products, the gravity estimation methods and the background models. Based on the calibrated covariances, GGM02 (both the GRACE-only model GGM02S and the combination model GGM02C) represents an improvement greater than a factor of two over the previous GGM01 models. Error estimates indicate a cumulative error less than 1 cm geoid height to spherical harmonic degree 70, which can be said to have met the GRACE minimum mission goals. Electronic Supplementary Material Supplementary material is available in the online version of this article at