渭河盆地新生代沉积相研究

渭河盆地位于鄂尔多斯地块南缘与秦岭造山带的交接部位,为一新生代盆地,古近系和新近系沉积厚度几千米,沉积类型多样,通过钻井及大量野外剖面的详细观察及实测,开展了地层、沉积相及岩相古地理学的研究。对渭河盆地新生代地层单位进行了重新厘定,并根据沉积特征划分为冲积扇沉积、河流沉积、湖泊沉积、三角洲沉积及风成沉积5种沉积类型。研究认为:整个沉积过程,盆地边断、边陷、边充填,纵向上极不对称,沉积中心偏南,平面上西窄东宽,盆地边部以冲积扇沉积为主,向中心由三角洲沉积逐渐过渡为湖相沉积。盆地从始新世开始沉积,渐新世后期抬升并存在沉积间断,中新世冷水沟期接着开始沉积,水体逐渐扩大,寇家村期湖泊广泛发育,至灞河期沉积范围达到最大,上新世游河期盆地存在西安、固市两大沉积凹陷区,边部开始出现风成沉积,第四纪西部隆起,湖泊沉积范围开始缩小,中更新世至全新世,盆地内湖泊萎缩成区域上的小型洼地。     

郯庐断裂带及两侧地区强震异常特征分析

对郯庐断裂带及两侧的山东、辽宁、河北、江苏、江西等地区1966～2005年发生的24次中强以上地震的前兆观测异常,从异常持续时间、空间分布、时空相关性、异常形态、幅度特征、异常种类和可靠性等方面进行了系统的统计和分析,结果表明：①7级和6级地震中期异常最多,短期异常其次,临震异常最少。5级地震短期异常最多,其次是临震异常,中期异常最少;②异常具有阶段性特征,部分中期和短期地震前兆异常在发展过程中出现了短期或临震异常;③异常发展具有准同步性,越临近发震,异常转折项目越多;④异常主要出现在震中距100km范围内,在空间上具有相对集中性,且震中距越小,异常台项比越高;⑤异常空间分布与构造走向比较一致,显示出与构造较好的相关性;⑥异常持续时间与震中距之间没有显著的相关性;⑦震级越大,同一观测手段的异常幅度相对越大;⑧流体学科异常最多,其次是形变、电磁;⑨不同学科的异常均表现为中、短期异常为主,少数短临异常;⑩流体、形变和电磁学科较可靠异常数量均约为可靠异常的1倍。     

Chronological constraints on the tectonic evolution of the Chinese Tianshan Orogen through detrital zircons from modern and palaeo-river sands

The Chinese Tianshan Orogen marks prolonged and complicated interactions between the southwestern Palaeo-Asian Ocean and surrounding blocks. New and previously published detrital zircon chronological data from modern and palaeo-river sands were compiled to reveal its tectonic evolution. It is characterized by predominant Palaeozoic as well as minor Mesozoic and Precambrian detrital zircon ages with a multimodal characteristic. The oldest Phanerozoic zircon population (peaking at 475 Ma) is a result of subduction and closure of the early Palaeozoic Terskey Ocean. However, the absence of this peak in the Chinese North and southern South Tianshan suggests that subductions of the North and South Tianshan oceans may not have initiated until the Late Ordovician with subsequent 460–390 and 360–320 Ma arc magmatism. Similar to the magmatic suite in classic collisional orogens, the youngest massive 320–270 Ma magmatism is suggested to be post-collisional. The North and South Tianshan oceans therefore probably had their closure to form the Chinese Tianshan Orogen during the late Carboniferous. The weak Mesozoic intra-plate magmatism further rejects a late Permian–Triassic Tianshan Orogen due to a lack of extensive syn- and post-collisional magmatism. Moreover, diverse Precambrian detrital zircon age patterns indicate that the surrounding blocks have distinct evolutionary processes with short-term amalgamation during the Meso- to Neoproterozoic.     

Geochemistry of late Palaeozoic granitoids of the Balkhash metallogenic belt,Kazakhstan: implications for crustal growth and tectonic evolution of the Central Asian Orogenic Belt

ABSTRACT

The Balkhash metallogenic belt (BMB) in Kazakhstan is a famous porphyry Cu–Mo metallogenic belt in the Central Asian Orogenic Belt (CAOB). The late Palaeozoic granitoids in the BMB are mainly high-K calc-alkaline and I-type granites, with shoshonite that formed during a late stage. Geochemical analyses and tectonic discrimination reveal a change in the tectonic environment from syn-collision and volcanic arcs during the Carboniferous to post-collision during the Permian. The late Palaeozoic granitoids from the Borly porphyry Cu deposit formed in a classical island-arc environment, and those from the Kounrad and Aktogai porphyry Cu deposits and the Sayak skarn Cu deposit are adakitic. The ε_Nd(t) values for the late Palaeozoic granitoids are between ?5.87 and +5.94, and the ε_Sr(t) values range from ?17.16 to +51.10. The continental crustal growth histories are different on either side of the Central Balkhash fault. On the eastern side, the ε_Nd(t) values of the granitoids from the Aktogai and Sayak deposits are very high, which are characteristic of depleted mantle and suggest that crustal growth occurred during the late Palaeozoic. On the western side, the ε_Nd(t) values of the granitoids from the Borly and Kounrad deposits are slightly low, which suggests the presence of a Neoproterozoic basement and the mixing of crust and mantle during magmatism. The granitoids have initial ²⁰⁶Pb/²⁰⁴Pb, ²⁰⁷Pb/²⁰⁴Pb, and ²⁰⁸Pb/²⁰⁴Pb values of 18.335–20.993, 15.521–15.732, and 38.287–40.021, respectively, which demonstrate an affinity between the late Palaeozoic magmatism in the BMB and that in the Tianshan, Altai, and Junggar orogens.     

Characteristics analysis of spatial and temporal variation on extreme weather events in Anhui Province for recent 50 years

To mitigate the impact of natural or man-made hazards on the services of an infrastructure facility, it is important to quantitatively assess its available capacity. For example, in a post-disaster scenario, critical infrastructure is likely to experience (i) excessive demand for the service of an infrastructure and/or (ii) compromised capacity because of damage to the infrastructure and the failure of infrastructure interdependencies. As the demand grows and nears the capacity limit of an infrastructure facility, a shortage of services required for the community’s recovery will occur. The development of mitigation strategies and an assessment of their effectiveness require a systematic approach. In this paper, a functional stress–strain principle for infrastructure facilities is proposed to quantitatively assess their serviceability in post-disaster scenarios. Functional stress in infrastructure management represents a service-related demand on an infrastructure facility, while strain indicates its coping capacity. The dynamic nature of infrastructure services will be considered depending on the relationship between demand and available capacity. The allowable range of functional stress is then defined, considering plastic and elastic patterns of responses of a facility during recovery to explore strain capacity variations. The proposed principle facilitates a systematic understanding of how infrastructure facilities can adapt themselves to growing stress and the maximum level of stress they can handle. The application of the proposed functional stress–strain principle is demonstrated through case studies of two infrastructure facilities in a post-earthquake scenario: a medical facility and a power facility.     

The effects of trust in government on earthquake survivors’ risk perception and preparedness in China

Natural Hazards - The accumulation of volatile organic compounds (VOCs) in ambient air affects air quality through the generation of surface level ozone and secondary organic aerosol. A study of...     

西藏安多早侏罗世火山岩岩石成因及对班公湖-怒江特提斯洋俯冲消减的制约

拉萨地块广泛分布着中生代的岩浆活动,研究它们对于认识特提斯洋的演化过程有着重要的启示。本文报道安多地区新识别出的早侏罗世岛弧型火山岩LA-ICP-MS锆石U-Pb年龄、锆石原位Hf同位素、全岩主微量元素分析和Sr-Nd同位素结果。英安岩206Pb/238U年龄为180.7±4.7Ma(MSWD=0.22,n=10),指示其形成时代为早侏罗世。这些火山岩的SiO_2含量为62.50%~76.15%,MgO含量为0.33%~3.05%,Fe_2O_3T含量为2.35%~6.69%;所有样品都显示轻稀土元素相对富集,具有铕的弱负异常,具有富集大离子亲石元素、亏损高场强元素的地球化学特征;同时这些火山岩锆石原位εHf(t)值均为正值(+15.1~+17.1);全岩Sr-Nd同位素εNd(t)值也均为正值(+7.1~+13.2),指示这些火山岩很可能是特提斯洋俯冲消减过程中新生下地壳部分熔融的产物。结合区域地质资料,认为安多火山岩不可能是龙木错-双湖古特提斯洋或雅鲁藏布江新特提斯洋俯冲消减的产物,而是班公湖-怒江特提斯洋俯冲消减的产物,区域上很可能与改则北、日土地区的侏罗纪侵入岩一起构成了班公湖-怒江特提斯洋北侧的岩浆弧带。由此本文认为安多早侏罗世岛弧型火山岩是班公湖-怒江特提斯洋北向俯冲消减的产物,从而为班公湖-怒江特提斯洋的俯冲消减过程提供了直接的火山岩证据。     

湖北大悟大磊山金矿矿床成因与控矿构造

在翔实的野外地质工作基础上,对湖北大悟大磊山金矿床进行矿区填图,并结合前人研究成果,充分分析大磊山金矿的控矿构造及矿床成因,认为该金矿导矿、配矿构造是一种新的构造类型,二者均不是断裂构造,而是燕山期区域广泛的岩浆活动使得大磊山花岗岩穹窿上隆,导致围岩沿接触面下滑,形成剪切带,该剪切带为后期热液提供了导矿、配矿通道;新元古代片麻状二长花岗岩为金矿提供了较高的金元素背景值,燕山期岩浆活动不但使金元素活化、迁移,也为金矿成矿提供了物质来源,金矿的矿床成因是中低温岩浆期后热液矿床;根据含金石英脉充填煌斑岩脉裂隙的地质特征,利用LA-ICP MS锆石U-Pb定年法获得了煌斑岩成岩年龄为126.8±2.0 Ma,从而限定了大磊山金矿成矿年代。     

Nitrous oxide (N<Subscript>2</Subscript>O) emissions from a mesotrophic reservoir on the Wujiang River,southwest China

Aquatic ecosystems have been identified as a globally significant source of nitrous oxide (N₂O) due to continuous active nitrogen involvement, but the processes and influencing factors that control N₂O production are still poorly understood, especially in reservoirs. For that, monthly N₂O variations were monitored in Dongfeng reservoir (DFR) with a mesotrophic condition. The dissolved N₂O concentration in DFR displayed a distinct spatial–temporal pattern but lower than that in the eutrophic reservoirs. During the whole sampling year, N₂O saturation ranging from 144% to 640%, indicating that reservoir acted as source of atmospheric N₂O. N₂O production is induced by the introduction of nitrogen (NO₃ ^?, NH₄ ⁺) in mesotrophic reservoirs, and is also affected by oxygen level and water temperature. Nitrification was the predominate process for N₂O production in DFR due to well-oxygenated longitudinal water layers. Mean values of estimated N₂O flux from the air–water interface averaged 0.19 µmol m^?2 h^?1 with a range of 0.01–0.61 µmol m^?2 h^?1. DFR exhibited less N₂O emission flux than that reported in a nearby eutrophic reservoir, but still acted as a moderate N₂O source compared with other reservoirs and lakes worldwide. Annual emissions from the water–air interface of DFR were estimated to be 0.32 × 10⁵ mol N–N₂O, while N₂O degassing from releasing water behind the dam during power generation was nearly five times greater. Hence, N₂O degassing behind the dam should be taken into account for estimation of N₂O emissions from artificial reservoirs, an omission that historically has probably resulted in underestimates. IPCC methodology should consider more specifically N₂O emission estimation in aquatic ecosystems, especially in reservoirs, the default EF5 model will lead to an overestimation.     

Recent Process in Near-Space Gravity Wave Analysis Based on Satellite Measurements

This article focused on the research progress in the gravity wave analysis based on satellite measurements including MODIS, AIRS, AMSU, MLS, DNB, COSMIC,HIRDLS and SOFIE. Besides, a few ground-based observation results and numerical models were briefly introduced and some cases of joint applications of satellite observations with ground-based observations and numerical models in the gravity waves were listed. In general, the satellite remote sensing data play an important role in the study of the characteristics in near-space environment, which can be applied to analyze the scales of gravity waves induced by different sources, correlations between the instabilities and waves as well as their patterns, the impacts in the climate process, wave-wave interactions and wave-flow interactions with other data.