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。     

Average Annual Temperature Changes in the Holocene in China

In 1876 Blytt proposed a post-glacial climatic classification, maintaining that the then temperature fluctuated 1- 2℃ higher or lower than that today. Lamb (1969) held that in Europe " the axis of the subtropical high pressure belt was generally displaced north by about 10° latitudes" during the Hypsithermal and that the temperature was three to six times higher than that in the postglacial period.In China, there appear relict beachrocks (living fossils) in tropical tidal zones from the Bohai Bay (40° N) to coastal areas in South China. Many relict tropical marine fossils were discovered, such as Ostrea gigas in Tianjin (which is larger than that found today in Hainan), Placuna placenta in Zhejiang and Spondylus sp. in Fujian. In Hebei, Henan and Zhejiang provinces and Guilin of Guangxi, such tropical fossil animals as Elephas maximus and Rhinoceros sp, were discovered, and in Hebei and Jiangsu provinces such fresh water fossils as Unio douglasiae were found. Their living species are still seen in So     

Hartley变换在地震波研究中的应用

1942年,Hartley在傅立叶变换基础上进行改进,提出Hartley变换,Hartley变换(HT)是一种实数域内的变换,比傅立叶变换(FT)至少减少一半的空间和时间.本文介绍了Hartley变换在地震波研究中的应用,包括强震数据转换、地震动模拟中的变换问题,举例说明了Hartley变换在节约计算空间和提高计算效率上的优越性.     

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。     

沼泽湿地环境演变研究回顾与展望——纪念中国科学东北地理与农业生态研究所建所50周年

沼泽湿地是地球表层功能独特的生态系统,在其形成发育、时空演化及分异等方面与其它生态系统存在明显差异。中国科学院东北地理所(原长春地理所)在沼泽湿地形成发育、时空演化研究方面有丰富的学科积累。1958年,中国科学院确定沼泽为该所的主攻方向,成为中国最早的专门性沼泽研究机构之一,至今已满50周年。50年来,几代科研人员为沼泽湿地环境演变研究工作贡献了他们的青春年华,取得了丰硕的研究成果。     

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.)     

末次间冰期东亚季风气候不稳定的神农架洞穴石笋记录

基于神农架永兴洞石笋(YX21)4个230 Th年龄和303个δ18O测试数据,建立了东亚季风末次间冰期持续时间约2 ka(127.32±1.23～124.95±1.16 ka BP)的洞穴石笋高分辨率δ18O的时间序列。该洞穴末次间冰期δ18O变化曲线表现出高频振荡特征,表明东亚季风末次间冰期降水的不稳定性,并识别出该时段4个季风冷事件,这种冷事件可能与北大西洋冰漂碎屑事件有关。谱分析结果显示百年和十年际尺度的季风降水变化响应于太阳活动周期。     

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.