根据花粉与藻类化石组合探讨滇池Q3晚期的湖泊环境变迁

滇池北缘草海地区的草2孔,含丰富的孢粉和藻类化石,根据其成分的变化,并与现代湖底层沉积物中花粉和藻类分布规律进行对比,结果表明距今约50000年以来,滇池经历了由浅湖-大湖（湖进）-浅湖（湖退）的演变过程。     

柴达木盆地西部新生界异常高压:分布、成因及对油气运移的控制作用

如同世界上其它新生代沉积盆地那样,柴达木盆地在一定深度,区域上普遍存在异常高压。异常高压出现在快速沉积的厚层泥质岩中,水热增压效应明显,而且在上新世末至今发生了强烈的以水平挤压为主的构造运动,因此异常高压的形成是由于不均衡压实作用和构造挤压作用所引起的压应力增大以及热液压力引起流体体积的变化。异常高压是油气运聚的一种重要动力来源:在油气运移中,可以使上覆封隔层产生大量微裂缝,油气向上运移到在较低压储集层中,也可以使封闭性断层开启,通过断层进行侧向运移。     

基于同步挤压小波变换的烃类识别技术

利用频谱分解得到的频率能量数据体进行属性提取,是烃类检测的常用手段之一.同步挤压小波变换能够提供高分辨率的时频谱,具有较好的应用潜力.本文以同步挤压小波变换为基础,提出了一套烃类检测方法,包括低频阴影检测、流体流动性估计以及高频能量衰减等,通过自适应选取优势频段,实现了多属性联合高精度刻画烃类的分布范围.实际资料处理结果与现有钻井情况吻合,具有较好的实用性,实现了对储层位置的高精度描述,对指导油气田开发具有重要的理论意义和实用价值.     

三峡库区与西南库区消落带植物多样性及群落构建比较

近年来,我国西南流域陆续建成多座梯级高坝大库工程,随之形成的大面积水库消落带面临着植物恢复等问题,能否借鉴三峡库区消落带已有的大量植物修复成果和经验尚缺乏科学依据。通过对2021年出露期三峡库区和西南库区消落带现存植物进行调查,采用淹水时间统一划分淹水梯度带,淹水时间7个月及以上为重度淹水区(S)、淹水时间为5～6个月为中度淹水区(M)和淹水时间4个月及以下为轻度淹水区(L),定量比较了三峡库区和西南库区消落带沿各淹水梯度的物种组成、物种多样性和系统发育多样性,探讨了水库消落带物种组成的驱动因子、植物群落构建策略以及多样性维持机制等。结果显示,三峡库区消落带共发现维管束植物20科36属36种,西南库区消落带共发现维管束植物21科41属45种,二者物种组成的Jaccard、Sorensen相似性系数分别为30.65%、46.91%,均以一年生为主要生活型、菊科和禾本科为优势科,相似的淹水时间可能是导致二者物种组成相似的主要因素;西南库区消落带的Gleason丰富度指数、Shannon-Wiener多样性指数、Simpson优势度指数和Pielou均匀度指数整体优于三峡库区消落带,二者物种...     

易县地震台四分量钻孔应变观测震前异常特征

通过对河北易县地震台钻孔应变资料进行处理,发现在2014年9月6日涿鹿4.3级和2015年9月14日昌黎4.2级地震前,该台四分量钻孔应变观测到显著前兆异常变化,与2012年5月28日唐山4.8级地震前出现的异常相似度较高,异常形态均表现为"来快去慢",均在极值附近维持数日后,逐渐恢复原值过程中发生地震。     

Complexity analysis of precipitation using the Lempel–Ziv algorithm and a multi-scaling approach: a case study in Jilin province,China

Precipitation is an important part of the hydrologic cycle, and its complexity is closely related to surface runoff and changing groundwater dynamics, which in turn influences the accuracy of precipitation forecasts. In this study, we used the Lempel–Ziv algorithm (LZA) and a multi-scaling approach to assess precipitation complexity for 1958–2011 by analyzing time series data from 28 gauging stations located throughout Jilin province, China. The spatial distribution of normalized precipitation complexity was measured by LZA, a symbolic dynamics algorithm, and by a multi-scaling approach, which is described by fractals. In addition, the advantages and limitations of these two methods were investigated. The results indicate that both methods are applicable and consistent for calculating precipitation complexity, and that the degree of relief is a primary factor controlling precipitation complexity in the mountainous area; in the plain terrain, however, the prominent influencing factor is climate.     

Multi-models for SPI drought forecasting in the north of Haihe River Basin,China

Drought is one of the most devastating climate disasters. Hence, drought forecasting plays an important role in mitigating some of the adverse effects of drought. Data-driven models are widely used for drought forecasting such as ARIMA model, artificial neural network (ANN) model, wavelet neural network (WANN) model, support vector regression model, grey model and so on. Three data-driven models (ARIMA model; ANN model; WANN model) are used in this study for drought forecasting based on standard precipitation index of two time scales (SPI; SPI-6 and SPI-12). The optimal data-driven model and time scale of SPI are then selected for effective drought forecasting in the North of Haihe River Basin. The effectiveness of the three data-models is compared by Kolmogorov–Smirnov (K–S) test, Kendall rank correlation, and the correlation coefficients (R²). The forecast results shows that the WANN model is more suitable and effective for forecasting SPI-6 and SPI-12 values in the north of Haihe River Basin.     

2014年8月云南鲁甸MS 6.5地震典型地表破裂特征

北京时间2014年8月3日16时30分,云南省鲁甸县发生了M_S 6.5地震,本次地震的发震构造为包谷垴-小河断裂。野外调查发现,王家坡不稳定斜坡上的地表破裂在整个破裂带中比较具有代表性,其地表破裂带整体走向N45°W-N50°W,并且由剪切破裂、张剪切破裂、压剪切破裂、张性破裂以及鼓包等典型地表破裂组成。其中左、右地表破裂边界与发震断层的出露位置一致,由断层错动造成;而部分地表破裂与断层的位置不重合,其成因分为2种,一种是发震断层导致的一些次级地表破裂,另一种是地震引发的滑坡后缘破裂。地表破裂类型和基本组合特征显示出王家坡潜在不稳定斜坡上的地表破裂带具有左旋走滑的性质。     

Near-source noise suppression of AMT by compressive sensing and mathematical morphology filtering

In deep mineral exploration, the acquisition of audio magnetotelluric (AMT) data is severely affected by ambient noise near the observation sites; This near-field noise restricts investigation depths. Mathematical morphological filtering (MMF) proved effective in suppressing large-scale strong and variably shaped noise, typically low-frequency noise, but can not deal with pulse noise of AMT data. We combine compressive sensing and MMF. First, we use MMF to suppress the large-scale strong ambient noise; second, we use the improved orthogonal match pursuit (IOMP) algorithm to remove the residual pulse noise. To remove the noise and protect the useful AMT signal, a redundant dictionary that matches with spikes and is insensitive to the useful signal is designed. Synthetic and field data from the Luzong field suggest that the proposed method suppresses the near-source noise and preserves the signal well; thus, better results are obtained that improve the output of either MMF or IOMP.     

The effect of seafloor topography in the Southern Ocean on tabular iceberg drifting and grounding

Antarctic tabular icebergs are important active components in the ice sheet-ice shelf-ocean system. Seafloor topography is the key factor that affects the drifting and grounding of icebergs, but it has not been fully investigated. This study analyzes the impact of seafloor topography on the drifting and grounding of Antarctic tabular icebergs using Bedmap-2 datasets and iceberg route tracking data from Brigham Young University. The results highlight the following points. (1) The quantitative distributions of iceberg grounding events and the tracking points of grounded icebergs are mainly affected by iceberg draft and reach their peak values in sea water with depths between 200 m and 300 m. The peak tracking point number and linear velocity of free-drifting icebergs are found in the Antarctic Slope Front (water depth of approximately 500 m). (2) The area of possible grounding regions of small-scale icebergs calved from ice shelf fronts accounts for 28% of the sea area at water depths less than 2000 m outside the Antarctic coastline periphery (3.62 million km²). Their spatial distribution is mainly around East Antarctica and the Antarctic Peninsula. The area of possible grounding regions of large tabular icebergs with long axes larger than 18.5 km (in water depths of less than 800 m) accounts for 74% of the sea area. (3) The iceberg drifting velocity is positively correlated with ocean depth in areas where the depth is less than 2000 m (R=0.85, P<0.01). This result confirms the effect of water depth variations induced by seafloor topography fluctuations on iceberg drifting velocity.