胶东夏甸金矿成矿期闪长玢岩脉锆石U-Pb年代学研究

山东夏甸金矿区内深源中—基性脉岩发育,其中以闪长玢岩与矿体间时空关系最为密切,被认为是幔源流体成矿最重要的判别标志。笔者通过对夏甸金矿两个不同中段内成矿期闪长玢岩LA-ICP-MS锆石U-Pb年代学研究,获得了4组较为一致的年龄,它们较为完整地保留了这一期中—基性岩浆活动留下的地质记录。这4组年龄分别为:①五台期:华北地区微陆块拼合,发生大规模岩浆作用,形成华北克拉通基底雏形;②印支期:华南与华北两大板块碰撞拼合,苏鲁—大别造山带出现,区内发生大规模变质作用;③燕山早期:受太平洋板块俯冲影响,太古宙绿岩体发生强烈改造,形成大面积重熔型花岗岩;④燕山晚期:成岩成矿期。     

1954年甘肃山丹7(1/4)级地震史料补遗

在归纳1954年山丹71/4级地震已有地震史料的基础上,根据新获得的朱允明(2006)《山丹地震考察笔记》的详细考察资料,按照《新中国地震烈度表》重新评定了本次地震中各考察点的地震烈度,重新绘制了该地震的等震线图。其中,极震区Ⅸ—Ⅹ度区长轴方向为北西向,呈扁椭圆形,长轴直径约40km;Ⅷ度区南西侧为山丹盆地,第四纪沉积较厚,地震烈度衰减缓慢,因此,Ⅷ度区等震线向南明显突出。1954年山丹71/4级地震极震区位于龙首山北缘断裂西段,大致与该断裂的包代河-黑头山段相吻合,综合分析认为,该段断裂是本次地震的主发震断层,而破喇嘛顶西缘断裂和毛湖洞断裂是重要的参与断裂。     

含油气盆地成藏期分析理论和新方法

传统的成藏期分析主要从生、储、盖、运、聚、保各项参数有效配置，根据构造演化史、圈闭形成史与烃源岩生排烃史作出推断，常用的 3个方法是根据油源岩的主生油期、圈闭形成期、油藏饱和压力分析油气藏形成期。近10年来成藏期分析是在构造发展史、埋藏史、热演化史、沉积成岩史 4个方面地质历史分析基础上，更多地依靠成藏化石记录的地球化学和岩石学分析结果，获得成藏期定量数据。评述了成藏期定量分析的理论与方法：包括储层成岩作用与烃类流体充注序次、自生矿物同位素地质年代学、流体包裹体、储层磁性矿物古地磁学、生烃期精确分析等，并讨论了它们在叠合盆地成藏年代学分析中实际应用及存在问题。     

临夏盆地13～4.4 Ma湖相沉积物颜色记录的气候变化探讨

利用高分辨率的代用资料来恢复古气候环境变化是当前过去全球变化研究的重要内容.通过对临夏盆地13～4.4 Ma时段稳定湖泊沉积物以10 cm间隔连续采得的2 060块样品进行颜色测定与分析,获得该时段湖相沉积物高分辨率颜色指标变化序列.通过沉积物颜色与成分分析,并与氯离子、CaCO3、风成石英砂含量和孢粉组合以及北太平洋ODP885/886孔的风成粉沙通量变化曲线对比,认为稳定湖相沉积物颜色指标是研究古气候变化的辅助性代用指标,并揭示了该地区在8 Ma和6.2 Ma左右存在两次重大的气候变干转型事件.     

GEOCHRONOMETRY & ISOTOPE GEOLOGY

正20142333Liao Jin(State Key Laboratory of Biogeology and Environmental Geology,China University of Geosciences,Wuhan 430074,China);Hu Chaoyong Thermoluminescence Based Thermometer from Stalagmites(Quaternary Sciences,ISSN1001-7410,CN11-2708/P,33(6),2013,p.1122-1129,6illus.,1table,48refs.)     

A study on the identification of liquefaction-induced failures on ground surface based on the data from the 1999 Kocaeli and Chi-Chi earthquakes

One of the major causes of earthquake damage is liquefaction. However, it doesn't result in severe harm unless it leads to ground surface damage or ground failure. Therefore, prediction of potential for ground surface damage due to liquefaction is one of the important issues in microzonation studies for liquefaction-induced damage in areas with high seismicity. In 1985, based on a database compiled from Chinese and Japanese earthquakes, Ishihara considered the influence of the non-liquefied cap soil on the occurrence or non-occurrence of ground failure (mainly sand boiling), and proposed an empirical approach to predict the potential for ground surface damage at sites susceptible to liquefaction. However, some investigators indicated that this approach is not generally valid for sites susceptible to lateral spread or ground oscillation. In this study, a contribution to improve the approach by Ishihara is made. For the purpose, an index called liquefaction severity index (LSI) and data from two devastating earthquakes, which occurred in Turkey and Taiwan in 1999, were employed. The data from liquefied and non-liquefied sites were grouped and then analysed. Based on the observations reported by reconnaissance teams who visited both earthquake sites and the results of the liquefaction potential analyses using the filed-performance data, a chart to assess the potential for ground surface disruption at liquefaction-prone areas was produced. The analyses suggest that the procedure proposed by Ishihara is quite effective particularly for the occurrence of sand boils, while the bounds suggested in this method generally may not be valid for the prediction of liquefaction-induced ground surface disruption at sites susceptible to lateral spreading. The chart proposed in this study shows an improvement over the Ishihara's approach for predicting the liquefaction-induced ground surface damage. The microzonation maps comparing the liquefaction sites observed along the southern shore of Izmit Bay and in Yuanlin, and the surface damage and non-damage zones predicted from the proposed chart can identify accurately the liquefaction (sand boiling and lateral spreading) and no-liquefaction sites.     

Development of a geotechnical and geophysical database for seismic zonation of the Ankara Basin,Turkey

The Kocaeli earthquake (M _w = 7.4) of 17 August 1999 occurred in the Eastern Marmara Region of Turkey along the North Anadolu Fault and resulted in a very serious loss of life and property. One of the most important geotechnical issues of this event was the permanent ground deformations because of both liquefaction and faulting. These deformations occurred particularly along the southern shores of ?zmit Bay and Sapanca Lake between the cities of Yalova and Adapazar? in the west and east, respectively. In this study, three sites founded on delta fans, namely De?irmendere Nose, Yeniköy tea garden at Seymen on the coast of ?zmit Bay, and Vak?f Hotel site on the coast of Sapanca Lake were selected as typical cases. The main causes of the ground deformations at these sites were then investigated. Geotechnical characterization of the ground, derivation of displacement vectors from the pre- and post-earthquake aerial photographs, liquefaction assessments based on field performance data, and analyses carried out using the sliding body method have been fundamental in this study. The displacement vectors determined from photogrammetric evaluations conducted at De?irmendere and Seymen showed a combined movement of faulting and liquefaction. But except the movements in the close vicinity of shorelines, the dominant factor in this movement was faulting. The results obtained from the analyses suggested that the ground failure at De?irmendere was a submarine landslide mainly because of earthquake shaking rather than liquefaction. On the other hand, the ground failures at the Yeniköy tea garden on the coast of Seymen and the hotel area in Sapanca town resulted from liquefaction-induced lateral spreading. It was also obtained that the ground deformations estimated from the sliding body method were quite close to those measured by aerial photogrammetry technique.     

长白山火山公元1199～1201年喷发的历史记录

长白山天池火山是世界著名的火山之一,是我国规模最大、最具有潜在喷发危险的一座近代活动火山。目前,国内外许多火山学者为了研究天池火山最近一次大喷发年代问题,做了大量工作,并取得了一些年代资料,但一直没取得有关这次大喷发历史记载的证实。笔者等再次收集和查阅了一亿七千万字的文史古籍资料,通过整理、筛选、考证、对比和分析处理, 发现了长白山天池火山,于公元1199～1201年一次大喷发的历史记录。这对于长白山天池火山未来喷发危险性的研究具有重要的意义。     

Enhancing spatial accuracy of mobile phone data using multi-temporal dasymetric interpolation

Novel digital data sources allow us to attain enhanced knowledge about locations and mobilities of people in space and time. Already a fast-growing body of literature demonstrates the applicability and feasibility of mobile phone-based data in social sciences for considering mobile devices as proxies for people. However, the implementation of such data imposes many theoretical and methodological challenges. One major issue is the uneven spatial resolution of mobile phone data due to the spatial configuration of mobile network base stations and its spatial interpolation. To date, different interpolation techniques are applied to transform mobile phone data into other spatial divisions. However, these do not consider the temporality and societal context that shapes the human presence and mobility in space and time. The paper aims, first, to contribute to mobile phone-based research by addressing the need to give more attention to the spatial interpolation of given data, and further by proposing a dasymetric interpolation approach to enhance the spatial accuracy of mobile phone data. Second, it contributes to population modelling research by combining spatial, temporal and volumetric dasymetric mapping and integrating it with mobile phone data. In doing so, the paper presents a generic conceptual framework of a multi-temporal function-based dasymetric (MFD) interpolation method for mobile phone data. Empirical results demonstrate how the proposed interpolation method can improve the spatial accuracy of both night-time and daytime population distributions derived from different mobile phone data sets by taking advantage of ancillary data sources. The proposed interpolation method can be applied for both location- and person-based research, and is a fruitful starting point for improving the spatial interpolation methods for mobile phone data. We share the implementation of our method in GitHub as open access Python code.     

A collective human mobility analysis method based on data usage detail records

Human mobility patterns have been widely investigated due to their application in a wide variety of fields, for example urban planning and epidemiology. Many studies have introduced spatial networks into human mobility analyses at the collective level. However, these studies merely analyzed spatial network structure, and the underlying collective mobility patterns were not further discussed. In this paper, we propose a collective mobility discovery method based on community differences (CMDCD). We constructed spatial networks where nodes represent geographical entities and edge weights denote collective mobility intensity between geographical entities. The differences between communities detected from the networks constructed in different periods were then identified. Since collective spatial movement has a large influence on network structure, we can discover groups with different mobility patterns based on community differences. By applying the method to data usage detail records collected from the cellular networks in a city of China, we analyzed different collective mobility patterns between the Spring Festival vacation and workdays. The experimental results show that our method can solve these two problems of identifying community differences and discovering users with different mobility patterns simultaneously. Moreover, the CMDCD method is an integrated approach to discover groups whose mobility patterns have changed in different periods at the large spatial scale and the small spatial scale. The discovered collective mobility patterns can be used to guide urban planning, traffic forecasting, urban resource allocation, providing new insights into human mobility patterns and spatial interaction analyses.