川中高石梯地区灯四段藻丘类型与沉积模式

四川盆地高石梯地区震旦系灯影组四段台缘带油气资源储量巨大,藻丘的发育是优质储层形成的基础,因此讨论四川盆地高石梯地区的藻丘类型与沉积模式就显得尤为重要.通过岩心观察、薄片鉴定并结合测井资料,详细阐述了高石梯地区灯四段的藻丘类型与沉积模式.研究结果表明:1)该地区岩石类型可分为富藻类云岩和贫藻类云岩:富藻类云岩是藻丘的丘...     

豫西地区雷暴预警预报系统构建方法研究

目前,基层台站在雷暴预警预报中主要依赖传统经验预报方法,而对卫星云图、大气电场、多普勒雷达回波和高分辨率数值预报产品等资料释用水平不高,存在主观定性分析多、客观定量计算少等不足。依托现有气象资料和雷暴预报方法,以雷暴预警预报系统构建为目标,从气象数据仓库构建、支持向量机雷暴预报、相似预报雷暴预报、Poor Man集合预报技术和多源数据融合分析等方面,探讨了雷暴预警预报系统构建方法,实现了雷暴中期预测、短期预报和短时临近预警三个层次的预报功能,解决了气象资料庞杂难以管理、数值预报产品释用水平不高、数值预报结果存在"跃变"、多源数据融合分析缺乏手段等问题,提高了基层台站雷暴预报工作效率和预报水平,同时也为其他地区类似系统构建提供了参考。     

基于时空不确定性的对流尺度集合预报效果评估检验

针对对流尺度天气系统的高度非线性特征和高分辨率模式预报结果存在时、空不确定性现象,以及当前邻域概率法主要考虑高分辨率预报结果的空间位移误差,而不能有效解决预报结果存在时间超前与滞后问题,将时间因素引入到邻域概率法中,结合一次强飑线过程进行对流尺度集合预报试验,并基于改进后的新型邻域概率法与分数技巧评分,对降水预报进行了不同时、空尺度的效果评估检验。结果表明:（1）邻域集合概率法和概率匹配平均法在极端降水的分数技巧评分远高于传统集合平均,弥补了集合平均对极端降水预报能力偏低的缺陷。（2）对于此类飑线过程的对流尺度天气系统而言,邻域半径为15—45 km的空间尺度能够改善降水位移误差的空间不确定性,并使其预报效果达到最优,其中15—30 km的邻域半径对于尺度更小的大量级降水事件预报能力更强。（3）对流尺度降水预报考虑时间尺度与降水强度存在着对应关系,不同时间尺度可以捕获到不同量级降水的时间不确定性。同时,时间尺度与空间尺度对于降水预报效果的影响是相互关联的。（4）改进的邻域概率法能够同时体现高分辨率模式预报结果在对流尺度降水事件上存在的时、空不确定性,实现了对流尺度降水在时、空尺度上的综合评估,并能为不同量级降水提供与其时、空尺度相匹配的概率预报结果。      

准噶尔盆地石南地区清水河组一段层序地层特征

清水河组一段是石南31井区岩性油藏、石南44井区微幅构造油藏及整个腹部地区的重要产层，探究其层序地层特征对于指导研究区及整个腹部地区清水河组一段的隐蔽油气藏勘探有重要意义。通过对岩心、测井、地震等资料综合分析，指出清水河组一段相当于下白垩统第一个三级层序的低位及湖侵体系域。其层序地层特征显著，表现为:低位体系域以沟谷残余可容纳空间充填沉积为特点，分布较为局限，沟谷主要沉积辫状河道砂砾岩；湖侵体系域以退积型三角洲和三角洲前缘滑塌浊积扇沉积为主。建立了石南31井区的成藏模式，并指出三南凹陷中西部是岩性—地层油气藏勘探的有利区带。沟谷砂砾岩及三角洲前缘滑塌浊积扇可形成岩性圈闭，退积型三角洲可形成地层超覆圈闭；湖侵体系域顶部的泥岩可做为区域盖层；斜坡古地貌、深大断裂—中浅层断裂系统与不整合匹配为有效的输导体系。     

Ensemble retrieval of atmospheric temperature profiles from AIRS

ABSTRACT Satellite-based observations provide great opportunities for improving weather forecasting. Physical retrieval of atmo spheric profiles from satellite observations is sensitive to the uncertainty of the first guess and other factors. In order to improve the accuracy of the physical retrieval, an ensemble methodology was developed with an emphasis on perturbing the first guess. In the methodology, a normal probability density function （PDF） is used to select the optimal profile from the ensemble retrievals. The ensemble retrieval algorithm contains four steps： （1） regression retrieval for original first guess; （2） perturbation of the original first guess to generate new first guesses （ensemble first guesses）; （3） using the ensemble first guesses and nonlinear iterative physical retrieval to generate ensemble physical results; and （4） the final optimal profile is selected from the ensemble physical results by using PDE Temperature eigenvectors （EVs） were used to generate the pertur- bation and generate the ensemble first guess. Compared with the regular temperature profile retrievals from the Atmospheric InfraRed Sounder （AIRS）, the ensemble retrievals RMSE of temperature profiles selected by the PDF was reduced between 150 and 320 hPa and below 400 hPa, with a maximum improvement of 0.3 K at 400 hPa. The bias was also reduced in many layers, with a maximum improvement of 0.69 K at 460 hPa. The combined optimal （CombOpt） profile and a mean optimal （MeanOpt） profile of all ensemble physical results were improved below 150 hPa. The MeanOpt profile was better than the CombOpt profile, and was regarded as the final optimal （FinOpt） profile. This study lays the foundation for improving temperature retrievals from hyper-spectral infrared radiance measurements.     

基于海洋气候数据集的区域海平面变化非线性预测

本文基于中国首套长时间序列、高精度、高时空一致性的全球海洋气候数据集产品, 利用1993年1月至2015年12月的山东半岛近海海平面异常数据, 构建了基于集合经验模式分解(EEMD)和长短期记忆神经网络(LSTM)的海平面非线性变化组合预测模型。EEMD可以得到海平面异常的各周期项、线性趋势及残差部分, LSTM模型可对其进行逐个预测并重构得到最终的海平面异常预测结果。EEMD-LSTM组合模型海平面异常预测的均方根误差仅为25.87 mm, 取得了令人满意的效果。基于该组合模型预测2016-2025年山东半岛近海海平面上升速率将达到3.54 mm·a^-1。     

西南印度洋中脊表层沉积物非碳酸盐组分的粒度特征及其地质意义

The carbonate-free fraction of 20 surface sediments collected from the ultraslow-spreading Southwest Indian Ridge(SWIR) was studied by grain size analysis and mineralogical analysis with X-ray powder diffraction(XRD),stereo microscopy and scanning electron microscopy(SEM). The characteristics of the carbonate-free fraction of the sediments were obtained, and related influential factors were discussed. The results show that the mean grain size of this fraction is in 1.96Φ–8.19Φ, with poorly sorting and unimodal, bimodal or irregular bimodal distribution patterns. Four grain size end members of the fraction are derived with the End Member Model method. The finest end member EM1 shows a significant contribution of terrigenous materials of the aeolian input and sediment carried by the bottom current. End member EM2 with medium size mainly reflects sediment of a siliceous bioclast origin. EM3 and EM4 are interpreted as representing the coarser volcanic materials related to bedrock weathering or volcanic activities. Multi-provenance is the dominant factor controlling the grain size pattern of the carbonate-free fraction of the sediments in that area. In addition, sediment transport processes such as the bottom current and wind are the minor factors that influence the grain size distribution of the carbonate-free fraction sediments.     

东营凹陷南坡沙三段坡移扇沉积特征

目前,东营凹陷南坡沙三段已钻遇到坡移扇这一新型的岩性油气藏类型,但是对坡移扇的地质认识较浅,且其识别特征尚不明确,从而制约了坡移扇勘探的进程。通过大量的岩芯精细观察和描述,统计分析了大量实验数据,在结合地震资料分析的基础上,系统总结坡移扇有别于浊积岩的沉积特征等识别标志。分析认为,坡移扇的形成受三角洲的规模和建设性、构造坡度或沉积坡度、构造运动及湖平面变化等因素所控制。     

Preliminary investigation of seismic damage to two steel space structures during the 2013 Lushan earthquake

Severe damage to steel space structures is rarely reported when compared to other structural systems damaged during past major earthquakes around the world.Two gymnasiums of steel space structures in downtown Lushan County that were damaged during the 2013 M7.0 Lushan earthquake in China were investigated and the observations are summarized in this paper.Typical damage to these two steel space structures ranges from moderate to severe.Moderate damage includes global buckling and dislocation of bolted connections of truss members,and inelastic elongation of anchor bolts and sliding of pedestal plates of supports.Severe damage includes member fracture caused by local buckling,and fracture failure of anchor bolts and welds.The distribution of structural damage to these two structures is described in detail and future research opportunities are suggested.     

Review of the Kalman-type hydrological data assimilation

ABSTRACT

There is great potential in Data Assimilation (DA) for the purposes of uncertainty identification, reduction and real-time correction of hydrological models. This paper reviews the latest developments in Kalman filters (KFs), particularly the Extended KF (EKF) and the Ensemble KF (EnKF) in hydrological DA. The hydrological DA targets, methodologies and their applicability are examined. The recent applications of the EKF and EnKF in hydrological DA are summarized and assessed critically. Furthermore, this review highlights the existing challenges in the implementation of the EKF and EnKF, especially error determination and joint parameter estimation. A detailed review of these issues would benefit not only the Kalman-type DA but also provide an important reference to other hydrological DA types.

Editor D. Koutsoyiannis; Associate editor F. Pappenberger