A direct comparison of C and Th ages at Searles Lake, California

Thorium-230 dating on saline of the Lower Salt unit in pluvial Searles Lake, California, shows that this unit was formed between 24,500 and 32,000 years ago. The initial apparent ¹⁴C age of the lake is estimated to be about 900 years. After correcting for nonradiogenic ²³⁰Th and for the initial ¹⁴C age, excellent agreement between ²³⁰Th and ¹⁴C ages is obtained. The reliability of ²³⁰Th dating on salt deposit opens a new way for continuation of absolute chronology below the Lower Salt in Searles Lake.     

济南市一次大雾天气过程的诊断分析

利用济南地区地面气象观测资料和探空观测资料以及NCEP1°×1°再分析资料，对2007年1月2-4日济南地区大雾形成及持续原因进行了初步分析，发现：稳定的经向大气环流、较弱的地面气压场是大雾形成的主要天气形势，较弱而持续的偏北风、源源不断的水汽补充及明显的逆温层是这次大雾形成并维持的必要条件。在实际气象预报工作中，不仅要注意天气形势、水汽等条件的分析，在冬季更要注重逆温层对大雾形成的分析。     

Variations of methane stable isotopic values from an Alpine peatland on the eastern Qinghai-Tibetan Plateau

Acta Geochimica - Isotopic signature is a powerful tool to discriminate methane (CH4) source types and constrain regional and global scale CH4 budgets. Peatlands on the Qinghai-Tibetan Plateau are...     

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。     

哈尔滨宾县砂砾石剖面沉积物组成及碎屑锆石U-Pb测年：对沉积环境和区域构造演化的指示

黑龙江宾县宁远镇中阳村剖面的砂砾石堆积过去被认为是哈尔滨地区第四纪下限的罗家窝棚组地层,对于其地层属性和沉积环境方面的研究较为薄弱。本文在野外考察的基础上,利用沉积学、矿物学、地球化学和碎屑锆石U-Pb测年对这套砂砾石堆积剖面进行研究,对其化学风化特征、源岩性质、沉积环境以及构造背景进行讨论。结果表明,这套砾石地层分选和磨圆较差,风化程度较低,无定向性排列,砾石以花岗岩（63%）、石英砂岩（22%）为主;钛铁矿（22.5%）是最主要重矿物,其次是锆石（17.4%）、赤褐铁矿（13.4%）,其它重矿物含量较少。元素地球化学揭示,沉积物中的细颗粒组分经历了中-低等的化学风化过程,大部分沉积物经历了首次循环。砾石岩性和地球化学组成共同揭示了沉积物主要来源于长英质母岩。元素地球化学的迁移与富集以及古气候判别图解指示沉积物是干热气候条件下的近距离搬运的冲洪积物。碎屑锆石U-Pb年龄分布在较窄的范围（208~129 Ma,峰值年龄~180 Ma）,与周围潜在源区锆石年龄对比,结合地貌位置,确定其物源区位于张广才岭余脉哈尔滨东南部低山丘陵带。早侏罗世源区受到古太平洋板块俯冲作用的影响,形成大陆边缘的构造背景,哈尔滨东南低山丘陵带经历了隆升和岩浆活动。与罗家窝棚组标准地层的沉积学特征对比存在明显差异,推测宁远剖面形成时间要晚于罗家窝棚组,与白土山组大致相当。这项研究对于哈尔滨地区第四纪地层的划分具有重要意义。

     

同位素地球化学在地震监测预测研究中的应用进展

随着新观测技术和理论的进一步发展,同位素地球化学方法在地震监测预测研究中发挥了越来越重要的作用。通过同位素地球化学方法确定地下流体来源,研究地下流体循环特征,分析地震前兆异常的成因,评估地质构造活动的程度,开展地震预测研究。同位素示踪技术还可以结合深源流体监测和地球物理方法,揭示地震孕育、流体与震源之间的关系。此外,同位素地球化学还可以构建断裂带流体地球化学背景特征,用于地震监测点映震效能的评估,提高地震监测预测的准确性,为地震新监测点的布设和震情跟踪提供技术支撑。通过对现今同位素在地震监测预测中所使用的方法、技术及国内外应用情况的总结分析,力图全面认识同位素地球化学在地震监测预测应用中的现状及发展趋势。     

Determination of kolmogorov entropy of chaotic attractor included in one—dimensional time series of meteorological data

The 1970-1985 day to day averaged pressure dataset of Shanghai and the extension method in phase space are used to calculate the correlation dimension D and the second-order Renyi entropy K2 of the approximation of Kolmogorov’s entropy, the fractional dimension D = 7.7~7.9 and the positive value K2 ≈ 0.1 are obtained. This shows that the attractor for the short-term weather evolution in the monsoon region of China exhibits a chaotic mo-tion. The estimate of K2 yields a predictable time scale of about ten days. This result is in agreement with that ob-tained earlier by the dynamic-statistical approach.The effects of the lag time τ on the estimate of D and K2 are investigated. The results show that D and K2 are convergent with respect to τ. The day to day averaged pressure series used in this paper are treated for the extensive phase space with τ = 5, the coordinate components are independent of each other; therefore, the dynamical character quantities of the system are stable and reliable.     

组合生物技术处理制药废水及其生物相

为有效治理化学制药废水和生物制药废水,采用水解酸化-活性污泥[-曝气生物滤池组合工艺对制药废水进行室内模拟生物处理研究。结果表明：该工艺对出水COD、BOD₅的去除率均大于90%,已达到《污水综合排放标准》（GB 8978-1996）二级标准。对生物相的显微镜观察分析表明,污泥絮体和生物膜生长良好,并出现变形虫、轮虫和漫游虫等原生和后生动物。对各构筑物中的细菌进行分离纯化,同时应用BIOLOG细菌鉴定系统进行鉴定,分别得到8株、3株、6株可培养的细菌。     

GeoPW: Laying Blocks for the Geospatial Processing Web

Recent advances in Web‐related technologies have significantly promoted the wide sharing and integrated analysis of distributed geospatial data. Geospatial applications often involve diverse sources of data and complex geoprocessing functions. Existing Web‐based GIS focuses more on access to distributed geospatial data. In scientific problem solving, the ability to carry out geospatial analysis is essential to geoscientific discovery. This article presents the design and implementation of GeoPW, a set of services providing geoprocessing functions over the Web. The concept of the Geospatial Processing Web is discussed to address the geoprocessing demands in the emerging information infrastructure, and the role of GeoPW in establishing the Geospatial Processing Web is identified. The services in GeoPW are implemented by developing middleware that wraps legacy GIS analysis components to provide a large number of geoprocessing utilities over the Web. These services are open and accessible to the public, and they support integrated geoprocessing on the Web.