2016年1月9日河北怀来ML3.4震群发震构造分析

本文采用模板识别匹配滤波方法检测2016年1月9日河北怀来M_L3.4震群序列目录中遗漏的地震事件,并加入波形互相关信息对震相到时进行校正,采用盖革法进行精确定位。重新定位后震群震中呈NEE向分布,与怀涿次级盆地北缘断裂走向一致,并主要集中在该断裂的小水峪-黄土窑段。震群中最大地震M_L3.4的P波初动解的一个节面走向与精定位后震中展布和断裂的走向基本一致,可推测怀涿次级盆地北缘断裂可能为怀来M_L3.4震群的发震构造。震中集中分布的怀涿次级盆地北缘断裂的小水峪-黄土窑段属5个分段中滑动速率最大的段落,分析认为该震群可能是由断层慢滑动引起的。     

Uncertainty analysis and probabilistic segmentation of electrical resistivity images: the 2D inverse problem

In this paper, we present the uncertainty analysis of the 2D electrical tomography inverse problem using model reduction and performing the sampling via an explorative member of the Particle Swarm Optimization family, called the Regressive‐Regressive Particle Swarm Optimization. The procedure begins with a local inversion to find a good resistivity model located in the nonlinear equivalence region of the set of plausible solutions. The dimension of this geophysical model is then reduced using spectral decomposition, and the uncertainty space is explored via Particle Swarm Optimization. Using this approach, we show that it is possible to sample the uncertainty space of the electrical tomography inverse problem. We illustrate this methodology with the application to a synthetic and a real dataset coming from a karstic geological set‐up. By computing the uncertainty of the inverse solution, it is possible to perform the segmentation of the resistivity images issued from inversion. This segmentation is based on the set of equivalent models that have been sampled, and makes it possible to answer geophysical questions in a probabilistic way, performing risk analysis.     

鲨肝刺激物质类似物基因在大肠杆菌中的表达与产物活性分析

构建了鲨肝刺激物质类似物基因片段的原核表达载体质粒 (pET-sHSS) ,转化大肠杆菌后通过IPTG诱导获得原核表达产物 ,并利用凝胶层析方法对表达产物进行了分离纯化 ;进一步利用MTT比色法研究了该重组产物对肝癌细胞株SMMC -7721的增殖影响。结果表明 ,在1mmol/L的IPTG的诱导下 ,鲨肝刺激物质类似物基因片段在大肠杆菌BL21菌株中获得表达 ,表达产物的相对分子质量大小约为17500u,占菌体可溶性蛋白总量的38%左右 ;纯化后的产物在低浓度下 (<50ng/L)具有明显刺激SMMC7721细胞株增殖的活性 ,高浓度下 (>100ng/L)则明显抑制该肿瘤细胞株的生长 ,与天然鲨肝刺激物质的生物活性类似     

Color correction of texture images for true photorealistic visualization

Photorealistic visualization combines 3-D geometric models with their texture images to render the virtual world. This paper points out that the texture images should be radiometrically corrected to achieve a true realistic appearance. Such a correction should include not only the color adjustment among images of the same object, but also the shade variation caused by the illumination change. The objective of this study is to correct the input texture images such that their shade varies when being rendered under different illumination directions. To achieve this goal we first apply the specular-to-diffuse mechanism based on the dichromatic reflection model to remove the specular component from the texture image. The resultant diffusion-only image then undergoes a shade correction to produce a normalized shade-free texture image. In the final step, shades under any illumination are produced to achieve a true photorealistic effect. Presented in the paper are the principles and methods for such corrections, along with a performance evaluation based on the graphic and numerical results for roof texture images.     

松辽盆地长岭凹陷乾安地区青山口组一段沉积相特征与古环境恢复——以吉页油1井为例

松辽盆地上白垩统青山口组一段富有机质泥页岩岩发育,层系内部滞留烃富集,具有可观的页岩油资源潜力。沉积古环境控制了泥页岩的分布、有机质发育特征及滞留烃富集程度。因此,恢复青一段泥页岩沉积古环境,明确沉积特征,对揭示青一段泥页岩中页岩油富集规律具有重要意义。本文基于长岭凹陷乾安地区青一段取心井——吉页油1井的岩心观察及测井曲线组合特征,划分了青一段泥页岩沉积微相,应用自然伽马能谱测井、岩性扫描测井数据,选取环境评价参数,对青一段沉积古环境及其演化过程进行了恢复,分析了古环境参数与泥页岩中滞留烃含量的相关性。结果表明:松辽盆地长岭凹陷乾安地区青一段泥页岩是在三角洲外前缘-浅湖-半深湖-深湖沉积体系中形成的,主要发育半深湖-深湖泥、浅湖泥沉积微相。青一段泥页岩沉积古环境经历了水深由浅变深,气候由半潮湿到潮湿,水体由淡水-微咸水,还原性由弱到强,水动力条件由中等到弱的演化,在青一段地层中存在明显的沉积环境变化界面,上下层段沉积环境不同。青一段泥页岩中滞留烃含量主要受沉积古气候、古氧化还原条件控制,潮湿气候还原条件下形成的泥页岩有机质类型好,以腐泥质为主,生油能力强,滞留烃含量高。     

《世界地震工程》被引特征的统计分析

以清华同方全文数据库为信息载体,统计分析了1999～2004年《世界地震工程》被我同期刊、学位论文与会议论文的引用状况。结果表明,该刊共被引981次,在同类期刊中被引次数名列前茅;引用期刊主要足近200种高等学校学报;引用期刊论文主要归类于建筑科学和地震学;引用学位论文的作者单位都是具有招收博士、硕士研究生的高等学校和科学研究机构;《世界地震工程》作为建筑科学类核心期刊有较高的学术影响力和较强的理论性与实用性。     

大数据环境下地震观测数据存储方案研究

大数据技术为处理海量地震观测数据提供了一种新的数据存储与计算模式。为了解决现有基于关系数据库存储方案的读写速度低、用户并发度低和可扩展性差等问题,以地震前兆观测数据为例,在详细分析业务需求的基础上,提出了基于HBase和Open TSDB的地震大数据存储方案,搭建了大数据测试平台,完成了不同存储方案下查询、插入性能实验和并发性实验。实验结果表明,与关系数据库存储方案相比,基于HBase和Open TSDB的存储方案具有很好的可扩展性和并发性,经过优化后的HBase存储方案具有更高的读取和存储性能。     

中国冰雪旅游研究：内涵辨析、脉络梳理与体系构建

推动冰雪旅游高质量发展践行了“冰天雪地也是金山银山”发展理念,助推着体育强国、健康中国建设,满足了人民日益增长的美好生活需要。中国冰雪旅游历经三十多年的发展,已形成规模化、整体化发展格局;北京冬奥会的筹办更是给冰雪旅游带来重大发展契机,利好政策陆续出台,消费热情不断高涨。与此同时,冰雪旅游相关研究也持续涌现,取得了丰厚研究成果。文章以“内涵辨析-脉络梳理-体系构建”为逻辑主线,从冰雪旅游基础概念、发展脉络演进、研究内容、研究方法及区域等方面对中国冰雪旅游展开分析和评述。研究表明：冰雪旅游内涵丰富,学者们从资源、动机以及季候等视角展开了概念界定;冰雪旅游研究历经4个阶段,研究与实践联系日益紧密,产业发展受资源、政策、市场等因素驱动;研究内容已形成一定体系,与国家、产业发展战略的结合有待加强;以定性研究为主,缺乏定量、纵深研究;研究区域高度集中在东北、华北地区,且视角较为宏观。最后提出从理论构建及研究视角、研究内容、研究方法、区域等方面进行未来研究的创新。以期推动中国冰雪旅游研究的理论化和体系构建,引领和指导未来冰雪旅游领域研究,推进中国后冬奥时代冰雪旅游高质量发展。     

莱州湾沉积物粒度与重金属分布特征

作者依据2019年8月份莱州湾海洋沉积物调查资料,分析了该海域表层沉积物粒径组成、重金属时空分布特征并评价了其生态风险。结果显示,莱州湾沉积物分为砂质粉砂、粉砂、粉砂质砂和砂4种类型,以砂质粉砂为主,其次为粉砂与粉砂质砂,再次为砂,中值粒径平均58.956μm;表层沉积物中Cr、Zn、Pb、Cu、As、Cd、Hg和TOC平均含量分别为57.6、52.6、18.7、15.3、9.14、0.130、0.0234 mg/kg和0.222%;由于河流排海物质和莱州湾内潮流运动,导致Cu、Pb、Zn、As、Cr和Cd基本呈现中部海域含量较高,西部海域高于东部海域的特征,东南部海域Cd、Hg与矿产资源的开发相关;14.3%的站位综合潜在生态风险属于中生态风险,Cd对综合潜在生态风险指数的贡献率最高,为主要潜在生态风险因子;研究区域中重金属Cu、Zn含量的分布与沉积物粒径和有机碳的含量密切相关。     

Spatial distribution and behavior of dissolved selenium speciation in the South China Sea and Malacca Straits during spring inter-monsoon period

Selenium(Se) has been recognized as a key trace element that is associated with growth of primary producers in oceans. During March and May 2018, surface water(67 samples) was collected and measured by HG-ICP-MS to investigate the distribution and behavior of selenite [Se(IV)], selenate [Se(VI)] and dissolved organic selenides(DOSe) concentrations in the Zhujiang River Estuary(ZRE), South China Sea(SCS) and Malacca Straits(MS). It showed that Se(IV)(0.14–3.44 nmol/L) was the dominant chemical species in the ZRE, related to intensive manufacture in the watershed; while the major species shifted to DOSe(0.05–0.79 nmol/L) in the MS, associated with the wide coverage of peatland and intensive agriculture activities in the Malaysian Peninsula. The SCS was identified as the northern and southern sections(NSCS and SSCS) based on the variations of surface circulation.The insignificant variation of Se(IV) in the NSCS and SSCS was obtained in March, potentially resulting from the high chemical activity and related preferential assimilation by phytoplankton communities. Contrastively, the lower DOSe concentrations in the SSCS likely resulted from higher primary production and utilization during March. During May, the concentration of Se(IV) remained low in the NSCS and SSCS, while DOSe concentrations increased notably in the SSCS, likely due to the impact of terrestrial inputs from surface current reversal and subsequent accumulation. On a global scale, DOSe is the dominant Se species in tropical oceans, while Se(IV) and Se(VI) are major fractions in high-latitude oceans, resulting from changes in predominated phytoplankton and related biological assimilation.