“含煤系统”地质要素分析及描述

在构建＂含煤系统＂及子系统的基础上,分析了＂含煤系统＂的主要地质要素以及＂含煤系统＂中各地质作用类型。研究表明：＂含煤系统＂的构建关键是系统边界的确定,由于＂含煤系统＂具有特定的地区、地层与时代范围,因此可以通过研究煤系形成时代、展布范围等基本地质要素进行分类和描述。     

Input data selection for solar radiation estimation

Model input data selection is a complicated process, especially for non‐linear dynamic systems. The questions on which inputs should be used and how long the training data should be for model development have been hard to solve in practice. Despite the importance of this subject, there have been insufficient reports in the published literature about inter‐comparison between different model input data selection techniques. In this study, several methods (i.e. the Gamma test, entropy theory, AIC (Akaike's information criterion)/BIC (Bayesian information criterion) have been explored with the aid of non‐linear models of LLR (local linear regression) and ANN (artificial neural networks). The methodology is tested in estimation of solar radiation in the Brue Catchment of England. It has been found that the conventional model selection tools such as AIC/BIC failed to demonstrate their functionality. Although the entropy theory is quite powerful and efficient to compute, it failed to pick up the best input combinations. On the other hand, it is very encouraging to find that the new Gamma test was able to choose the best input selection. However, it is surprising to note that the Gamma test significantly underestimated the required training data while the entropy theory did a better job in this aspect. This is the first study to compare the performance of those techniques for model input selections and still there are many unsolved puzzles. Copyright © 2009 John Wiley & Sons, Ltd.     

乐清湾水环境特征及富营养化成因分析

根据2002-2003年乐清湾海域春、夏、秋、冬4个航次的调查资料,分析了乐清湾海域水化学要素在不同季节的分布和变化特征,探讨了陆源污水、海水养殖自身污染与富营养化的关系.结果表明,乐清湾水域DIN和DIP浓度全年平均分别为0.630mg/dm^3和0.039mg/dm^3秋、冬季几乎100%测站属劣四类水质,春、夏季近90%超过四类水质标准.水体营养状态指数（E）值各季平均在4～9,呈严重富营养化状态.研究指出沿岸工农业废水、生活污水的排放及水产养殖业的无序、无度发展是造成该水域严重富营养化的三个主要原因.认为目前乐清湾水质已不能满足该海域功能区划提出的要求,必须进行综合整治.     

混凝土单桩对瑞利波的阻隔机理试验研究

通过室外试验的方法绘制相对加速度的二维等值线图,并依据桩周土体的振动情况进行区域划分,进一步研究单桩几何尺寸变化时其周围土体振动区域的变化情况.结果表明:单桩桩前、桩两侧存在振动加强区,桩前的振动加强现象更强,以桩角处尤为明显;当桩长与波长的比值在0.109～0.840时,隔振区、反射区的面积增长幅度较大,而绕射区的面...     

湘西北页岩层地震反射波组特征研究

湘西北地区发育寒武系下统牛蹄塘组、志留系下统龙马溪组两套富有机质黑色页岩。通过合成地震记录和已知地质特征推断反射层位的方法,对两套含烃黑色页岩层的地震地质特征、波组层位识别、波组特征进行了分析对比,总结出湘西北地区页岩层地震反射波所具有的典型特征:龙马溪组存在3~4个强相位,主频集中在30Hz左右;牛蹄塘组存在3个强反射界面,因深度加大,其主频集中在20Hz左右。由于龙马溪组和牛蹄塘组二组地层间距达2 500~3 000m,因此在湘西北地区将二组地层的反射波视作一个波系,其二维地震剖面存在3个波组4个反射层位或3个波组3个反射层位,三个波组分别为龙马溪组,中寒武底界及牛蹄塘组。另外因龙马溪组砂质泥岩段具有低速、低密度、低电阻率、高放射性等特征,其界面波阻抗差异较大,可作为本区的地震波标志层位。     

高温高压下岩石电导率不同测量方法的实验对比——以二辉橄榄岩为例

利用YJ-3000t紧装式六面顶压机,在1.0GPa、500～900℃和2.0GPa、500～950℃的实验条件下,同时采用交流阻抗谱法(AC0.05～10-6Hz)、直流法(DC)和单频交流法(0.1Hz)三种方法对采自河北大麻坪玄武岩中的尖晶石二辉橄榄岩进行了电导率的实验测量.实验结果表明:在实验的温度和压力范围内...     

亚太地区油气成藏条件及资源潜力

亚太地区是全球重要的油气产区和最大的油气消费市场。亚太地区155个主要沉积盆地中,已有90多个盆地内发现了油气田或有油气发现,共发现油气田约6 900个。根据地理位置及构造特征等,亚太地区可进一步分为东亚分区、东南亚分区、澳新分区和南亚分区,约有131个主要的含油气系统。本文对亚太地区不同分区的油气成藏条件(包括烃源岩、储集层、盖层、含油气系统等)进行了总体分析与高度概括。在此基础上,以成藏组合为基本评价单元,不同勘探程度盆地采用与之相适应的评价方法,对本地区各盆地的油气资源潜力进行了评价。评价结果表明:亚太地区常规总油气可采资源量为673.7×10⁸ t油当量,占全球的6.1%,非常规油气资源类型以重油、页岩油、油页岩、页岩气、煤层气为主,非常规油气技术总可采资源量390.4×10⁸ t当量,占全球非常规油气技术总可采资源量的6.1%。根据待发现资源结果及盆地勘探程度,近海和深海勘探是将来的勘探热点:主要勘探领域为深海和成熟盆地新层系及岩性-地层圈闭等;海相三角洲体系是寻找天然气田的重要领域;东南亚弧后盆地群新生界湖相是页岩油的有利勘探领域;澳大利亚中部克拉通盆地群泥盆系-石炭系为页岩气的有利勘探领域。     

塔里木盆地北缘大地热流测定

1987—1988年,在塔里木盆地北部的库车一轮台地区进行了热流测量,取得了西北地区的首批热流值。研究区在地质上属雅克拉一轮台基岩隆起带,巨厚的中新生界陆相碎屑岩不整合于古生界及前古生界基岩之上。西段雅克拉地区在深约5400m 的不整面之下为下古生界碳酸盐岩,上覆厚仅数十米的侏罗系及厚约5300m 以上的下白垩统一第四系,在侏罗系及下白垩统之间有一沉积间断。     

超高压变质岩矿物中的显微构造缺陷:来自TEM和FTIR研究的证据

超高压变质矿物的某些显微构造缺陷可能指示了岩石短暂和快速抬升过程。文中报道了中国大别山双河地区超高压硬玉石英岩矿物显微构造缺陷的透射电镜(TEM)和Fourier变换红外光谱(FTIR)的研究结果。用TEM研究方法,在硬玉石英岩中硬玉包裹体内发现了亚微米级天然蒙钠长石(MA,C2/m)、高钠长石(HA,C)和低钠长石(LA,C)三种多形变体。表明岩石在折返过程经历过高温变质作用(>930℃),以及退变质过程的快速冷却;在石英包裹体内发现了纳米级柯石英和石盐子矿物,提供了柯石英转变为石英以及峰期变质条件下高盐流体存在的证据。"名义上无水矿物"(NAMs)的结构水(OH/H2O)是以缺陷形式赋存于矿物结构中。FTIR分析结果显示硬玉、石榴石、金红石和石英中结构水的平均含量分别为1000×10-6、(900~1600)×10-6、>2000×10-6和<4×10-6,硬玉石英岩全岩含水量为(490~600)×10-6,表明在高压-超高压变质作用过程中,地壳或原岩中的水可以通过这些NAMs携带到地球深部。该类显微构造缺陷可能是大陆碰撞造山带在高应变速率下的局部弱化和深部断层作用的结果。     

Multipath mitigation via component analysis methods for GPS dynamic deformation monitoring

Multipath is one of the main error sources in high-precision global positioning system (GPS) dynamic deformation monitoring, as it is difficult to be mitigated by differencing between observations. In addition, since a specific frequency threshold value between multipath and deformation signals may not exist, multipath is usually inseparable from the low-frequency vibration signal using conventional frequency-domain filter methods. However, the multipath repeats in two sidereal days when the surroundings of a GPS antenna remain unchanged. This characteristic can be exploited to model and thus mitigate multipath effectively in dynamic deformation monitoring. Unfortunately, a major issue is that the degree of repeatability decreases as the interval between first day and subsequent days increases. To overcome this problem, we develop a new sidereal filtering referred to as reference EMD-ICA (EMD-ICA-R), where empirical mode decomposition (EMD) and independent component analysis (ICA) are jointly used to model multipath and renew the reference multipath. For the successful implementation of the EMD-ICA-R, an a priori denoised multipath signal is needed as a reference. We further propose to use the principal component analysis (PCA) method to extract more accurate reference multipath signal and form a combined PCA-EMD-ICA-R approach. Simulation experiments with a motion simulation platform were conducted, and the testing results indicate that the proposed methods can mitigate the multipath by around 67 % when a reliable reference multipath signal is extracted from a static situation. Furthermore, simulation experiments with different deformation signals added into the coordinate time series of three consecutive days show that the two proposed methods are also effective in a dynamic situation. Since wavelet filtering is used to denoise the reference multipath signals in the new approaches, simulation experiments with several wavelet filters are tested, and the results indicate that the PCA-EMD-ICA-R approach can work well with various wavelet filters.