Lang Trang Cave (Northern Vietnam): Pleistocene Mammalian Locality with Gigantopithecus Finds

Doklady Earth Sciences - Speleological, geological and paleontological characteristics of the Lang Trang cave in northern Vietnam are presented. Primates Gigantopithecus blacki von Koenigswald,...     

江西武功山花岗岩地貌特征与成因

江西武功山花岗岩穹窿构造地貌景观类型具有多样性、典型性,具有极高的美学价值、科学价值和旅游开发价值。武功山花岗岩地貌类型可划分为花岗岩风化壳高山草甸、花岗岩侵蚀构造地貌、花岗岩流水侵蚀地貌和花岗岩崩塌堆积地貌等,而且每一类型又有多种微地貌景观,具有显著的集聚性特征,主要集中在金顶、明月山和羊狮幕地区,空间上可分为4个梯度,分别为中心高山草甸带、中心边缘构造侵蚀地貌区、外围峡谷、孤峰、瀑布、温泉区、武功山主山体前缘区。花岗岩穹窿构造核部及外缘区域的花岗岩地貌发育模式和发育阶段具有明显差异,反映了武功山不同山体单元多期差异性隆升后,在亚热带气候环境下,流水溯源侵蚀、构造、岩体性质等内外营力对原始地貌面的差异性作用过程。本研究不仅可为花岗岩穹窿构造地貌景观空间展布规律和地貌特征的研究提供有效借鉴,而且可为武功山地区地学科普、地质遗迹保护等提供支撑。     

从西南天山超高压变质带多期构造变形看天山古生代构造演化

通过对西南天山阿克雅孜和木扎尔特地区高压-超高压变质带构造几何学和岩石变形相关运动学的详细剖析,厘定出高压-超高压变质岩石及其相关围岩的构造单元。详细研究表明,研究区可划分为三个构造单元:北部单元、中部单元和南部单元。确定了每个构造单元的构造几何学特征及各个构造单元之间的相互关系。通过分析岩石变形特征和叠加关系,确定了岩石所记录多期变形的运动学特征。根据研究区的多期构造变形特点,建立了阿克雅孜和木扎尔特河地区构造演化序列。共划分出四期构造可识别的事件(E1-E4),分别代表了E1:高压-超高压岩石折返过程;E2:高压-超高压岩石造山带的早期改造过程;E3:北部构造事件对高压-超高压造山带影响;E4:走滑构造对高压-超高压造山带的叠加。沿造山带系列构造分析表明,西南天山高压-超高压带中发育的四期构造事件沿中天山北缘具有很好的一致性,各期构造事件也有一定的横向可对比性。在此基础上通过对多期变形事件的构造背景的探讨,建立了整个天山在古生代的构造拼合过程,揭示我国西部洋壳相关的深俯冲造山带形成过程和参与深俯冲作用(超)高压变质岩的变形变质历史。     

徐州地区新元古界下部具臼齿构造碳酸盐岩事件成因探讨

徐州地区新元古界贾园组-赵圩组发育陆棚-缓坡-台地边缘的碳酸盐沉积,记录有广泛的风暴事件,并在其中发现 大量具“臼齿构造”碳酸盐岩。依据野外剖面系统观察与室内综合分析,将臼齿碳酸盐岩划分为原地型：条带状M1（平直 条带状M1-a、分叉条带状M1-b）、蠕虫状M2（短小蠕虫状M2-a及长条蠕虫状M2-b）、丝状M3、悬针状M4;异地型：碎屑 状M5等五种形态类型,主要发育于缓斜坡下部到潮坪环境。以水体深度及水动力条件下的七种代表性风暴序列为背景,将 臼齿碳酸盐岩的形态及分布与瞬时高能事件沉积做关联分析。研究发现,臼齿构造与风暴事件有密切联系,表征晴好天气 下的块状层中以M3为主,风暴期动荡水体序列层段以M1,M2为主,而在表征风暴高潮期序列层段以异地型的M4, M5为 主。风暴的强弱及水深变化控制了风暴序列的分布,进一步控制了臼齿构造的形态与规模。由此推断,臼齿构造形成是在 中-新元古代特殊的古大气古海洋背景下,在风暴周期的不同阶段,经历具有裂缝形成与微亮晶充填的紧密联系的过程。 风暴前期和风暴高潮期,风暴浪对臼齿构造的形成主要体现在造缝阶段,而风暴后期则主要为微亮晶的填充阶段。最终形 成广泛分布的具臼齿构造碳酸盐岩这一地质历史内特殊的事件型碳酸盐岩类型。     

3维场景植被冠层多波段模拟研究进展

植被冠层辐射散射信号中蕴含了丰富的植被信息,通过构建植被冠层辐射散射模型,可以实现植被结构等生物物理参数的遥感定量反演。迄今为止,可见光/近红外、热红外、微波波段均已发展了大量的模型,这些模型在参数反演方面各具优势,但不同波段的模型又有其自身的局限性。跨波段的联合模拟可以实现模型间的优势互补,进而提高地表参数的反演精度,近年来已有学者专注于可见光/近红外与热红外模型,热红外与微波模型,主被动微波模型,以及可见光/近红外与微波模型的联合模拟和协同反演,但多是两两联合,且主要是基于经验模型或解析模型。基于3维场景的植被冠层辐射散射特性模拟模型可以细致刻画不同组分的结构和空间分布特征,对于由植被结构引起的多次散射和组分比例变化的考虑具有优势。本文主要介绍了3维模拟模型在可见光/近红外、热红外和微波波段,以及跨波段联合模拟方面的研究进展,从模型机理、场景统一、以及组分理化参数的统一的角度,探讨了构建多波段3维模拟系统的可行性,展望了多波段3维模拟模型的发展趋势。     

基于DEA和Malmquist的中国城市代谢效率研究

运用物质流、数据包络分析(DEA)及Malmquist指数对中国31个案例城市进行了城市代谢效率的研究。通过将城市代谢系统社会经济产出、环境非期望产出及水、电、化石能源、金属矿物、建筑材料、食物等投入部分纳入进DEA和Malmquist指数中,测得了案例城市的2000年、2010年代谢效率及变化趋势。研究结果发现,中国城市代谢系统效率总体相对较高,尤其是东中部地区城市的综合效率、纯技术效率和规模效率要高于西部地区城市,大城市的代谢综合效率高于巨型、超大和特大城市。2000~2010年,城市代谢综合效率、纯技术效率等所有效率指标的均值均呈现出下降趋势,但是中、西部地区城市的综合效率和纯技术效率却呈改善趋势,并且特大和超大城市的综合效率高于巨型城市。     

Projection and possible causes of summer precipitation in eastern China using self-organizing map

Self-organizing map (SOM) is used to simulate summer daily precipitation over the Yangtze–Huaihe river basin in Eastern China, including future projections. SOM shows good behaviors in terms of probability distribution of daily rainfall and spatial distribution of rainfall indices, as well as consistency of multi-model simulations. Under RCP4.5 Scenario, daily rainfall at most sites (63%) is projected to shift towards larger values. For the early 21st century (2016–2035), precipitation in the central basin increases, yet decreases occur over the middle reaches of the Yangtze River as well as a part of its southeast area. For the late 21st century (2081–2100), the mean precipitation and extreme indices experience an overall increase except for a few southeast stations. The total precipitation in the lower reaches of the Yangtze River and in its south area is projected to increase from 7% at 1.5 °C global warming to 11% at 2 °C, while the intensity enhancement is more significant in southern and western sites of the domain. A clustering allows to regroup all SOM nodes into four distinct regimes. Such regional synoptic regimes show remarkable stability for future climate. The overall intensification of precipitation in future climate is linked to the occurrence-frequency rise of a wet regime which brings longitudinally closer the South Asia High (eastward extended) and the Western Pacific Subtropical High (westward extended), as well as the reduction of a dry pattern which makes the two atmospheric centers of action move away from each other.     

Evaluation of an ensemble of regional climate model simulations over South America driven by the ERA-Interim reanalysis: model performance and uncertainties

The capability of a set of 7 coordinated regional climate model simulations performed in the framework of the CLARIS-LPB Project in reproducing the mean climate conditions over the South American continent has been evaluated. The model simulations were forced by the ERA-Interim reanalysis dataset for the period 1990–2008 on a grid resolution of 50 km, following the CORDEX protocol. The analysis was focused on evaluating the reliability of simulating mean precipitation and surface air temperature, which are the variables most commonly used for impact studies. Both the common features and the differences among individual models have been evaluated and compared against several observational datasets. In this study the ensemble bias and the degree of agreement among individual models have been quantified. The evaluation was focused on the seasonal means, the area-averaged annual cycles and the frequency distributions of monthly means over target sub-regions. Results show that the Regional Climate Model ensemble reproduces adequately well these features, with biases mostly within ±2 °C and ±20 % for temperature and precipitation, respectively. However, the multi-model ensemble depicts larger biases and larger uncertainty (as defined by the standard deviation of the models) over tropical regions compared with subtropical regions. Though some systematic biases were detected particularly over the La Plata Basin region, such as underestimation of rainfall during winter months and overestimation of temperature during summer months, every model shares a similar behavior and, consequently, the uncertainty in simulating current climate conditions is low. Every model is able to capture the variety in the shape of the frequency distribution for both temperature and precipitation along the South American continent. Differences among individual models and observations revealed the nature of individual model biases, showing either a shift in the distribution or an overestimation or underestimation of the range of variability.     

Kuramoto Model of Nonlinear Coupled Oscillators as a Way for Understanding Phase Synchronization: Application to Solar and Geomagnetic Indices

We apply a Kuramoto model of nonlinear coupled oscillators to the simulation of slow variations of the phase difference between sunspot number [R _I ] and geomagnetic indices [aa and ζ]. The Kuramoto model is described for the particular case of two oscillators connected by symmetric coupling with quasi-stationary behavior, and its properties are investigated. By solving an inverse problem, we reconstruct the evolution of the couplings between pairs of indices [R _I and aa, R _I and ζ, aa and ζ], and interpret these in terms of the physics of the solar dynamo. The de-correlation between R _I and geomagnetic indices found in Solar Cycle 20 by Le Mouël et al. (J. Geophys. Res. 117, A09103, 2012) is successfully reproduced by the Kuramoto model and corresponds to the alternation of the leading oscillator. Application of the Kuramoto model to the cross-correlations [C(R _I ,ζ) and C(aa,ζ)] for ζ-indices computed in eight geomagnetic stations shows the latitudinal dependence of the mean phase difference. We discuss these results in terms of the solar-wind contribution to local geomagnetic indices [ζ].