Testing electric field models using ring current ion energy spectra from the Equator-S ion composition (ESIC) instrument

During the main and early recovery phase of a geomagnetic storm on February 18, 1998, the Equator-S ion composition instrument (ESIC) observed spectral features which typically represent the differences in loss along the drift path in the energy range (5–15 keV/e) where the drift changes from being E × B dominated to being gradient and curvature drift dominated. We compare the expected energy spectra modeled using a Volland-Stern electric field and a Weimer electric field, assuming charge exchange along the drift path, with the observed energy spectra for H⁺ and O⁺. We find that using the Weimer electric field gives much better agreement with the spectral features, and with the observed losses. Neither model, however, accurately predicts the energies of the observed minima.     

鄂尔多斯盆地中奥陶统马五6亚段高频旋回层序研究:论海平面升降与横山凸起沉积分异效应*

高频旋回分析有利于揭示浅水碳酸盐岩台地海平面升降、沉积物响应、古地理单元演化及对盆地内沉积分异影响等诸多沉积学信息。依据鄂尔多斯盆地横山地区丰富的钻井取心资料,通过岩石类型、典型五级旋回结构等分析,对中奥陶统马家沟组马五₆亚段开展了高频旋回研究。研究表明: (1)基于研究区内马五₆亚段碳酸盐岩与蒸发岩共生组合的9种岩石类型,识别出5种典型T-R单旋回,其中旋回Ⅰ、Ⅱ、Ⅲ为云质潟湖—颗粒滩—灰泥丘沉积,Ⅳ、Ⅴ为膏盐质潟湖沉积,并以5种单旋回为基本单元搭建骨架井五级高频旋回结构剖面;(2)依据五级高频旋回结构剖面建立的Fischer图解,认为马五₆亚段处于三级旋回晚期,内部发育“2个”四级旋回,具有初次海退—快速海侵—再次海退的相对海平面变化趋势;(3)结合五级旋回厚度统计,认为第1套四级旋回沉积期处于隆拗格局发育阶段,该时期横山凸起作为水下高地,对东西两侧海水封隔明显;至第2套四级旋回沉积阶段,填平补齐作用导致横山凸起影响减弱,海水循环得到改善,凸起东西两侧盐度明显下降。以马五₆亚段为例的高频旋回研究,在横山地区马五₆亚段地层学、沉积学研究中取得了较好的效果,以期在鄂尔多斯盆地马家沟组未来研究中得到进一步推广和实践。     

鄂尔多斯盆地东缘奥陶系马家沟组四段豹斑状云质灰岩特征及成因: 以关家崖剖面为例*

鄂尔多斯盆地东缘中奥陶统马家沟组发育豹斑状云质灰岩,因其分布广泛、成因复杂以及具有重要的油气储集意义而长期受到关注。文中以山西省兴县关家崖剖面马家沟组四段顶部为例,依据宏观、微观岩石学特征,结合碳氧稳定同位素、原位激光剥蚀的微量稀土元素等地球化学分析手段,分析了豹斑状云质灰岩的特征及其成因。研究表明,豹斑状云质灰岩的特征为: (1)常发育于(含颗粒)泥晶灰岩中,且向上白云石化程度增强,云质斑块内常伴有针状或板条状石膏假晶;(2)按产状可大致分为水平、斜交和不规则花斑3种类型,分别对应于向上变浅序列的下部、中部和上部,序列顶部多见近原地角砾化;(3)基质灰岩与云质斑块的δ¹³C、δ¹⁸O值较同期海水略显负偏,顶部不规则云质斑块负偏程度最大;(4)“豹斑”与基质灰岩均具有较低的Mn、Sr、Ba等含量和低Mn/Sr值;(5)“豹斑”的ΣREE含量较基质灰岩略低,且皆表现为轻稀土富集、重稀土亏损的稀土配分模式,δCe微弱负异常,δEu无异常。依据上述结果,推测关家崖剖面马四段豹斑状云质灰岩产状受到生物扰动和高频海平面驱动的早成岩期岩溶耦合控制,序列由下至上耦合改造由弱变强,形成下—中部以岩溶影响较小的水平和斜交虫迹为特征、上部叠合岩溶强改造形成不规则花斑的垂向序列组合;早成岩期的暴露岩溶不仅叠合改造生物潜穴,而且蒸发浓缩的有限重卤水沿叠合优势通道优先交代孔渗条件更好的区域,至埋藏时期白云石化作用进一步加强,从而形成了区内类型多样的豹斑状云质灰岩。研究结果还揭示出沉积期微地貌控制的早成岩期岩溶作用是马四段这类特殊的豹斑状云质灰岩或豹斑状云岩储集层形成的关键,且在很大程度上控制了这类储集层的分布,这一认识可为高频暴露驱动的早成岩期岩溶研究提供新的材料。     

构造-沉积分异原理及其地质意义*

构造-沉积分异是地球表层的常见地质现象,发生于沉积盆地、造山带与克拉通等岩石圈构造单元,表现为岩石圈的深、中、浅层始终发生着沉积物、流体、能量与力的交换与分异过程。文中从物质组成、时空分布与力学机制等方面阐述构造-沉积分异的基本特征,并以中国沉积盆地为例进行分析。作者首先将构造-沉积分异定义为“由构造应力、热力、重力、地幔动力等因素引起地表地形差异,从而导致沉积物源、搬运体系与沉积作用变化的过程”;认为构造-沉积分异发生在不同尺度的洋-陆系统、盆-山系统、隆-坳系统、凸-凹系统与高-低地貌系统,受基底结构、强度与活动性的明显控制,构造应力、重力、热力、地幔动力等控制了该分异机制; 强调随时间演变出现构造-沉积分异演化旋回,表现为伸展期裂陷向聚敛期隆坳转变,碳酸盐岩分异台地向统一台地转变。上述控制因素与机制在时空上可以发生复合,导致多类构造-沉积分异作用出现。研究构造-沉积分异作用,可以为重建地球历史、加快矿产资源勘查和改善人类宜居环境做出贡献。     

甘肃迭部M_s4.0地震震源机制解和震源深度精确测定

综合利用了2011年2月23日迭部M_s4.0地震的近震宽频带波形资料,采用CAP方法反演了该地震的震源机制解和震源深度,结合深度震相sPL对震源深度进行了精确确定。结果表明:迭部4.0级地震是一次走滑兼逆冲型地震;最佳双力偶解为节面Ⅰ走向110°、倾角57°,滑动角23°;发震构造可能为光盖山-迭山北麓断裂;震源深度为7 km。     

Conditional heavy-tail behavior with applications to precipitation and river flow extremes

This article deals with the right-tail behavior of a response distribution \(F_Y\) conditional on a regressor vector \({\mathbf {X}}={\mathbf {x}}\) restricted to the heavy-tailed case of Pareto-type conditional distributions \(F_Y(y|\ {\mathbf {x}})=P(Y\le y|\ {\mathbf {X}}={\mathbf {x}})\), with heaviness of the right tail characterized by the conditional extreme value index \(\gamma ({\mathbf {x}})>0\). We particularly focus on testing the hypothesis \({\mathscr {H}}_{0,tail}:\ \gamma ({\mathbf {x}})=\gamma _0\) of constant tail behavior for some \(\gamma _0>0\) and all possible \({\mathbf {x}}\). When considering \({\mathbf {x}}\) as a time index, the term trend analysis is commonly used. In the recent past several such trend analyses in extreme value data have been published, mostly focusing on time-varying modeling of location or scale parameters of the response distribution. In many such environmental studies a simple test against trend based on Kendall’s tau statistic is applied. This test is powerful when the center of the conditional distribution \(F_Y(y|{\mathbf {x}})\) changes monotonically in \({\mathbf {x}}\), for instance, in a simple location model \(\mu ({\mathbf {x}})=\mu _0+x\cdot \mu _1\), \({\mathbf {x}}=(1,x)'\), but the test is rather insensitive against monotonic tail behavior, say, \(\gamma ({\mathbf {x}})=\eta _0+x\cdot \eta _1\). This has to be considered, since for many environmental applications the main interest is on the tail rather than the center of a distribution. Our work is motivated by this problem and it is our goal to demonstrate the opportunities and the limits of detecting and estimating non-constant conditional heavy-tail behavior with regard to applications from hydrology. We present and compare four different procedures by simulations and illustrate our findings on real data from hydrology: weekly maxima of hourly precipitation from France and monthly maximal river flows from Germany.     

Research on progressive failure process of Baishuihe landslide based on Monte Carlo model

To the progressive landslide, development of the internal deformation and failure situation can’t be accurately reflected by the overall stability of coefficients and failure probability. But this problem can be solved by utilizing the principle of progressive failure by slices. Taking the warning area of Baishuihe landslide as an example, 5 days accumulated rainfall in different reappearing period is computed by Gumbel model. The failure probability of each slice is calculated by progressive failure principle, which is based on Monte Carlo model. The following results can be revealed through calculation: Overall stability and failure probability can’t reflect real situation of Baishuihe landslide warning area. Through building the calculation of progressive failure model of each slice, the stability of each part in the Baishuihe landslide warning area is quite different. Unstable region mainly lies in vicinity of the middle and posterior warning area. The front of the warning area remains stable. Deformation characteristics of the warning area are consistent with the investigation report. The scope of unstable area increased gradually with rainfall and the decline of reservoir water. Under 5 day’s accumulated rainfall of 50 years, the poor stable and unstable region reached 75 %, there is a large possibility of local deformation slip. Under the joint action of rainfall and reservoir water level, the warning area of Baishuihe landslide shows a progressive failure mode from top to bottom.     

Spectral simulation of vector random fields with stationary Gaussian increments in <Emphasis Type="Italic">d</Emphasis>-dimensional Euclidean spaces

This paper addresses the problem of simulating multivariate random fields with stationary Gaussian increments in a d-dimensional Euclidean space. To this end, one considers a spectral turning-bands algorithm, in which the simulated field is a mixture of basic random fields made of weighted cosine waves associated with random frequencies and random phases. The weights depend on the spectral density of the direct and cross variogram matrices of the desired random field for the specified frequencies. The algorithm is applied to synthetic examples corresponding to different spatial correlation models. The properties of these models and of the algorithm are discussed, highlighting its computational efficiency, accuracy and versatility.     

Identification and assessment of water safety risk for groundwater recharge with reclaimed water in China

Groundwater recharge using reclaimed water has developed rapidly around the world to relieve the groundwater resource shortage and declining of the water table. Traditional water treatment systems are inefficient to remove all the types of contaminants, so it is urgent to identify the priority chemical substances (CSs) that deserve our first concern. In this study, we developed a method (EER method) to identify priority CSs in groundwater recharge by surface spreading and direct aquifer injection. Three stages were processed which were exposure assessment, effect assessment and ranking for identification of priority CSs. Fourteen cities in China were selected for data collected and 90 pollutants in reclaimed water samples were analyzed as the target pollutants for a case study. According to three stages, the 90 CSs studied were divided into five groups (primary control CSs and high, moderate and low and no risk control CSs). In the primary control CSs and high, moderate and low and no risk control CSs group there were 14, 18, 21, 21 and 16 CSs, respectively when groundwater recharged by surface spreading, while there were 15, 18, 21, 21 and 15 CSs when recharged by direct injection. This method provided an indicator of prioritizing the risk of 90 compounds in the reclaimed water for groundwater recharge.     

Integration of multiple soft data sets in MPS thru multinomial logistic regression: a case study of gas hydrates

A new approach is described to allow conditioning to both hard data (HD) and soft data for a patch- and distance-based multiple-point geostatistical simulation. The multinomial logistic regression is used to quantify the link between HD and soft data. The soft data is converted by the logistic regression classifier into as many probability fields as there are categories. The local category proportions are used and compared to the average category probabilities within the patch. The conditioning to HD is obtained using alternative training images and by imposing large relative weights to HD. The conditioning to soft data is obtained by measuring the probability–proportion patch distance. Both 2D and 3D cases are considered. Synthetic cases show that a stationary TI can generate non-stationary realizations reproducing the HD, keeping the texture indicated by the TI and following the trends identified in probability maps obtained from soft data. A real case study, the Mallik methane-hydrate field, shows perfect reproduction of HD while keeping a good reproduction of the TI texture and probability trends.