西北地区春季云系的垂直结构特征飞机观测统计分析

根据2001年5—6月8架次的飞机探测资料,配合地面观测和卫星资料综合分析得出了西北地区春季云系的垂直结构宏微观特征,包括云厚、云底高度、云粒子浓度、含水量、有效半径、粒子谱分布函数等。降水性层状云厚平均约2000 m,低云含水量垂直方向上平均为0.07 g·m~(-3),中云含水量垂直方向上平均为0.03 g·m~(-3)。对比分析降水云和非降水云系的微物理特征量,两者存在显著的差异,降水性层状云有效半径要达到10～16μm。     

SAR image despeckling with a multilayer perceptron neural network

Speckle noise in synthetic-aperture radar (SAR) images severely hinders remote sensing applications; therefore, the appropriate removal of speckle noise is crucial. This paper elaborates on the multilayer perceptron (MLP) neural-network model for SAR image despeckling by using a time series of SAR images. Unlike other filtering methods that use only a single radar intensity image to derive their parameters and filter that single image, this method can be trained using archived images over an area of interest to self-learn the intensity characteristics of image patches and then adaptively determine the weights and thresholds by using a neural network for image despeckling. Several hidden layers are designed for feedforward network training, and back-propagation stochastic gradient descent is adopted to reduce the error between the target output and neural-network output. The parameters in the network are automatically updated in the training process. The greatest advantage of MLP is that once the despeckling parameters are determined, they can be used to process not only new images in the same area but also images in completely different locations. Tests with images from TerraSAR-X in selected areas indicated that MLP shows satisfactory performance with respect to noise reduction and edge preservation. The overall image quality obtained using MLP was markedly higher than that obtained using numerous other filters. In comparison with other recently developed filters, this method yields a slightly higher image quality, and it demonstrates the powerful capabilities of computer learning using SAR images, which indicate the promising prospect of applying MLP to SAR image despeckling.     

Development and verification of the comprehensive model for physical properties of hydrate sediment

Natural gas hydrate is widely distributed all over the world and may be a potential resource in the near future, whereas hydrate dissociation during the development affects wellbore stability and drilling safety. However, the present modeling of hydrate reservoir parameters ignored the influence of effective stress and only considered the hydrate saturation. In this paper, a series of stress sensitivity experiments for the unconsolidated sandstone were carried out, and the influence of mean effective stress on physical parameters was obtained; a comprehensive model for the physical parameters of hydrate reservoir was developed subsequently. With the help of ABAQUS finite element software, the established comprehensive model was verified by the use of the wellbore stability numerical model of hydrate reservoir. The verification results show that ignoring the effect of mean effective stress on the parameters of hydrate formation aggravates the invasion of drilling fluid into the hydrate formation. Besides, ignoring the stress sensitivity of reservoir physical parameters will underestimate the wellbore instability during hydrate drilling, which will be a threat to the safety of gas hydrate drilling. At the end of the drilling operation, the maximum plastic strain of the model for considering and not considering stress sensitivity was 0.0145 and 0.0138, respectively. Therefore, the established comprehensive model will provide a theoretical support for accurately predicting the engineering geological disasters in hydrate development process.     

Stability study on the northern batter of MBC Open Pit using Plaxis 3D

Cracks appeared on the northern batter at Maddingley Brown Coal Open Pit Mine, Victoria, Australia, on 8 November 2013 and a 2-day rainfall event happened 5 days later. This study models the stability of the northern batter considering the effect of the rainfall event and an emergency buttress using finite element method (FEM) encoded in Plaxis 3D. It is found that the batter tended to lead to block sliding after overburden removal. The observed vertical crack would be a combined action of the overburden removal and groundwater flow. The simulated location of cracks agrees well with the actual location, and the simulated heave of the coal seam is in good agreement with the experience in Victoria brown coal open pit mining. The rainfall accelerated the development of the cracks. With the construction of the emergency buttress, the batter became stable that is in good agreement with the monitored data.     

湖南常宁新盟山英安玢岩岩石成因及其与矿化关系研究

通过对湖南省常宁市新盟山英安玢岩进行岩石地球化学、锆石U-Pb定年以及绿泥石矿物化学等综合研究,结合前人研究成果,探讨其岩石地球化学性质、形成时代、物质来源及其与成矿作用的关系.LA-ICP-MS锆石U-Pb定年结果显示,新盟山英安玢岩的n(206Pb)/n(238U)加权平均年龄为152.9±1.2 Ma,属于晚侏罗...     

气象装备保障效能评估技术

随着气象部门装备保障业务重要性的不断提高,开展装备保障评估方法的研究,对保障质量进行科学评价成为一个新的课题。就监控、维护和维修3个装备保障子业务分别建立了各自的评估体系,还利用监控、维护和维修业务的独立性,提出了根据业务单位职责的组成,使用监控率、故障率和维修率三者的加权平均值评估装备保障综合效能的方法,对建立装备保障业务的考核体系有一定的参考借鉴意义。     

柳州夏季一次雨夹冰雹的天气过程分析

利用常规地面观测、柳州地面自动站、FY-2C卫星、柳州和河池的多普勒天气雷达观测资料,对2014年7月22日夏季柳州发生的一次短暂的雨夹冰雹天气过程的环境条件和雷达产品特征进行分析,主要结果如下:受副高和台风外围气流影响,柳州全市出现了37℃以上大范围的高温天气,天气尺度和中尺度的上升运动较弱,局地性质的加热作用导致大气的不稳定度加强而诱发对流云系进一步发展造成的;雷达显示的冰雹云的最大基本反射率因子为65d BZ,强回波区面积小;风速的切变和辐合上升运动小,0℃层高度较高,不利于对流系统的发展和维持。     

地面加密自动站资料同化和数值模拟

采用美国多部门研制的WRF模式及其四维变分同化系统,对2008年5月长江中下游地区一次强对流暴雨天气过程进行了数值模拟试验;并分别将质量控制前和质量控制后的华东地区地面加密自动站资料加入模式进行四维变分同化试验,与实况进行了对比。结果表明:模拟试验能较好的模拟此次降水过程;而采用四维变分同化经质量控制后的地面加密资料,模式效果最好,使降水预报在降水落区和降水量上都获得较为明显的改善;但质量控制前四维同化改善效果不明显。这说明地面资料的质量控制很重要,它能去伪存真。有效地利用地面加密自动站资料,能使资料的加入与模式更协调,从而得到了最佳的模拟效果。     

胃肠道类癌的动态增强CT特征分析

目的:探讨胃肠道类癌动态增强CT影像学表现,旨在提高对该病的诊断水平。方法:回顾性分析11例胃肠道类癌患者的CT平扫及动态增强资料,对病变部位的肠壁厚度、边界、形态、周围毗邻结构情况、密度及动态增强特点进行评价;绘制ROC曲线评价远处转移的预测因素。结果:病变质地平扫CT值为26-48HU,平均为(33.54±6.96)HU;动脉期CT值为33-87HU,平均为(62.72±19.35)HU;门静脉期CT值为56-100HU平均(71.18±12.54)HU;延迟期CT值为43-78HU,平均为(60.09±12.69)HU。病变强化特点以渐进式强化为主,于门静脉期达到峰值,延迟期下降不明显,形成一个平台;病变管壁厚度对预测类癌远处转移有一定价值(AUC=0.917,相似文献   

GeoCube： 面向大规模分析的多源对地观测时空立方体

随着对地立体观测体系的建立,遥感大数据不断累积。传统基于文件、景/幅式的影像组织方式,时空基准不够统一,集中式存储不利于大规模并行分析。对地观测大数据分析仍缺乏一套统一的数据模型与基础设施理论。近年来,数据立方体的研究为对地观测领域大数据分析基础设施提供了前景。基于统一的分析就绪型多维数据模型和集成对地观测数据分析功能,可构建一个基于数据立方的对地观测大数据分析基础设施。因此,本文提出了一个面向大规模分析的多源对地观测时空立方体,相较于现有的数据立方体方法,强调多源数据的统一组织、基于云计算的立方体处理模式以及基于人工智能优化的立方体计算。研究有助于构建时空大数据分析的新框架,同时建立与商业智能领域的数据立方体关联,为时空大数据建立统一的时空组织模型,支持大范围、长时序的快速大规模对地观测数据分析。本文在性能上与开源数据立方做了对比,结果证明提出的多源对地观测时空立方体在处理性能上具有明显优势。