铜陵新桥铁矿田地质地球化学特征及成因浅析

长期以来有关新桥 (S Fe Cu)矿田的成因一直争论不休 ,如沉积 -改造型、层控 -矽卡岩型、海底喷流沉积型等。作者在综合分析该矿田的地质 -地球化学特征的基础上 ,认为新桥矿田具有二期成矿作用的特点。早期沉积成矿作用形成菱铁矿矿体和不具有工业意义的黄铁矿层。后期岩浆成矿作用形成层状、似层状块状硫化物型、热接触交代矽卡岩型和热液脉型等不同类型的硫化物矿体。沉积作用形成的矿体与岩浆作用形成的矿体各自有着不同的地球化学特征     

上硬下软反倾边坡开挖变形响应的物理模拟

现有上硬下软边坡的研究大都集中在压缩挤出变形的近水平泥岩、页岩基座型边坡变形演化过程,针对倾倒变形的板岩基座型边坡开挖响应研究甚少,本文以西藏玉曲河某水电站厂址边坡为研究对象,根据现场地质调查建立符合坡体实际情况的地质结构模型,采用物理试验的方法模拟原型边坡开挖。通过试验揭示上硬下软反倾边坡在开挖条件下的变形响应特征及破坏模式。研究结果表明:（1）开挖条件下上硬下软型边坡变形破坏过程分为a）下部软岩倾倒弯曲加剧;b）软岩倾倒折断,上部卸荷硬岩沿已有裂隙剪切;c）倾倒软岩滑移,卸荷硬岩剪断岩性分界部位,折断面贯通3个阶段。其变形破坏模式为下部软岩倾倒—上部硬岩剪断组合滑移型破坏;（2）开挖强倾倒区岩体会使下部软岩迅速失稳并促使上部硬岩剪切破坏;开挖引起的反倾上硬下软边坡大变形在短时间内完成,前期变形和能量积累是一个较长的过程;（3）开挖时需避免对坡脚倾倒岩体“大开挖”施工。     

滇东南老君山地区片麻状花岗岩年代学、地球化学特征及构造意义

本文对滇东南老君山地区南捞片麻状花岗岩进行岩石学、锆石U-Pb年代学、地球化学和Hf同位素等方面的研究,以探讨其岩石成因和构造意义。研究结果表明岩体地球化学上具有高硅,富碱和高铝特点;稀土配方模式呈现轻稀土富集略右倾斜型,轻稀土分馏明显,存在明显Eu负异常;相对亏损Rb、Ba、Pb、Sr、Ti、Eu、Yb等元素,相对富集Th、K、Pr、Nd、Sm、Hf和Tb等元素。样品LA-ICP-MS锆石U-Pb年龄为431.8±4.1Ma。锆石Hf同位素研究结果表明,εHf(t)=0.8^-11.70,其两阶段模式年龄(T2DM)主要为1395~1544Ma。上述地球化学及年代学研究结果表明南捞片麻状花岗岩主要来自中元古代下地壳物质部分熔融,为有幔源物质的参与形成的I型花岗岩。结合华南加里东期成岩构造环境,判断滇东南老君山早期南捞岩体形成于后造山伸展环境。     

黑龙江嫩江三矿沟—多宝山—争光成矿带地质特征与成矿规律

三矿沟—多宝山—争光成矿带为东北地区重要的金属矿集区,发育有三矿沟矽卡岩铜铁矿床、多宝山斑岩铜钼矿床、争光浅成低温金矿床等典型矿床。基于已获得的研究成果,结合前人的资料,重点解剖多宝山、三矿沟和争光3个典型矿床的地质特征,发现3个矿床的成矿类型和地质特征大不相同,成矿时代(加里东期、燕山早期和燕山中期)各异。综合地质研究表明,多宝山矿床形成于岩浆弧背景,三矿沟矿床为弧后伸展背景的产物,争光矿床形成于碰撞后陆壳伸展背景。     

基于SSA-Adam-BP神经网络模型的堰塞坝稳定性预测

现有的堰塞坝稳定性预测模型多为线性模型,无法充分考虑堰塞坝稳定性与其形态特征和水域条件之间的复杂非线性关系.鉴于此,结合反向传播神经网络模型和樽海鞘优化算法,提出了一种新型的堰塞坝稳定性预测模型SSA-Adam-BP.该模型通过网格搜索法选取确定模型结构的最佳超参数组合,进而利用交叉验证和绘制ROC曲线的方式分别对采用...     

Late Quaternary vegetation and climate dynamics in central-eastern Brazil: insights from a ~35k cal a bp peat record in the Cerrado biome

The late Quaternary evolution of central-eastern Brazil has been under-researched. Questions remain as to the origin of the Cerrado, a highly endangered biome, and other types of vegetation, such as the Capões – small vegetation islands of semi-deciduous and mountain forests. We investigated the factors that influenced the expansion and contraction of the Cerrado and Capões during the late Quaternary (last ~35 ka), using a multi-proxy approach: stable isotopes (δ¹³C, δ¹⁵N), geochemistry, pollen and multivariate statistics derived from a peat core (Pinheiro mire, Serra do Espinhaço Meridional). Five major shifts in precipitation, temperature, vegetation and landscape stability occurred at different timescales. Our study revealed that changes in the South Atlantic Convergence Zone (SACZ) seem to have been coeval with these shifts: from the Late Glacial Maximum to mid-Holocene the SACZ remained near (~29.6 to ~16.5k cal a bp ) and over (~16.5 to ~6.1 k cal a bp ) the study area, providing humidity to the region. This challenges previous research which suggested that climate was drier for this time period. At present, the Capões are likely to be a remnant of a more humid climate; meanwhile, the Cerrado biome seems to have stablished in the late Holocene, after ~3.1 k cal a bp .     

Drying increases organic colloidal mobilization in the karst vadose zone: Evidence from a 15-year cave-monitoring study

Understanding the hydrological processes of colloids within the karst vadose zone is vital to the security of karst groundwater and providing appropriate paleohydrological explanations of colloid-facilitated metals in speleothem. This study addresses the mobilization mechanisms driving colloidal organic matter (COM) transport in the karst vadose zone using a 15-year long monthly monitoring dataset from a cave drip point (HS4) in Heshang Cave, Qingjiang Valley, China. Variations in COM concentrations were reported as the fluorescence difference values of raw and filtered (<0.22 μm) samples at an excitation wavelength of 320 nm and emission wavelength of ~400 nm. A fluorescence humification index (HIX) lower than 0.8 and an autochthonous index (BIX) higher than 1.2 indicated that the origin of COM was mainly from the karst vadose zone, rather than the soil zone. The COM concentration varied from 0.001 to 0.038 Raman Unit (RU), with evident seasonal fluctuations. Rising limbs for COM values occurred prior to rising limbs within a dripwater hydrograph; moreover, the COM peak values corresponding to the beginning of the increasing hydrograph generally suggested that the mobilization of COM reflected the movement of the air–water interface (AWI) in the karst vadose zone rather than rainfall intensity or flow velocity. COM peak values were positively correlated with the antecedent drying duration and negatively correlated with HIX values. These phenomena may be explained by the increased amount of organic matter that was aggregated and absorbed on the surface of carbonate in the karst vadose zone during a longer drying duration. Moreover, the longer drying duration was also beneficial to autochthonous biological activity, which subsequently decreased the HIX value of the organic matter in the karst vadose zone. The movement of AWI and the drying duration are both controlled by the outside weather conditions. This study is therefore conducive to evaluating the security of karst groundwater in response to climate change, and challenges prevailing paleoclimate interpretations of colloid-facilitated metal abundance timeseries reported from speleothems.     

The information system of the French Peatland Observation Service: Service National d'Observation Tourbières – A valuable tool to assess the impact of global changes on the hydrology and biogeochemistry of temperate peatlands through long term monitoring

Mitigating and adapting to global changes requires a better understanding of the response of the Biosphere to these environmental variations. Human disturbances and their effects act in the long term (decades to centuries) and consequently, a similar time frame is needed to fully understand the hydrological and biogeochemical functioning of a natural system. To this end, the ‘Centre National de la Recherche Scientifique’ (CNRS) promotes and certifies long-term monitoring tools called national observation services or ‘Service National d'Observation’ (SNO) in a large range of hydrological and biogeochemical systems (e.g., cryosphere, catchments, aquifers). The SNO investigating peatlands, the SNO ‘Tourbières’, was certified in 2011 ( https://www.sno-tourbieres.cnrs.fr/ ). Peatlands are mostly found in the high latitudes of the northern hemisphere and French peatlands are located in the southern part of this area. Thus, they are located in environmental conditions that will occur in northern peatlands in coming decades or centuries and can be considered as sentinels. The SNO Tourbières is composed of four peatlands: La Guette (lowland central France), Landemarais (lowland oceanic western France), Frasne (upland continental eastern France) and Bernadouze (upland southern France). Thirty target variables are monitored to study the hydrological and biogeochemical functioning of the sites. They are grouped into four datasets: hydrology, fluvial export of organic matter, greenhouse gas fluxes and meteorology/soil physics. The data from all sites follow a common processing chain from the sensors to the public repository. The raw data are stored on an FTP server. After operator or automatic processing, data are stored in a database, from which a web application extracts the data to make them available ( https://data-snot.cnrs.fr/data-access/ ). Each year at least, an archive of each dataset is stored in Zenodo, with a digital object identifier (DOI) attribution ( https://zenodo.org/communities/sno_tourbieres_data/ ).     

MARC: a robust method for multiple-aspect trajectory classification via space,time, and semantic embeddings

ABSTRACT

The increasing popularity of Location-Based Social Networks (LBSNs) and the semantic enrichment of mobility data in several contexts in the last years has led to the generation of large volumes of trajectory data. In contrast to GPS-based trajectories, LBSN and context-aware trajectories are more complex data, having several semantic textual dimensions besides space and time, which may reveal interesting mobility patterns. For instance, people may visit different places or perform different activities depending on the weather conditions. These new semantically rich data, known as multiple-aspect trajectories, pose new challenges in trajectory classification, which is the problem that we address in this paper. Existing methods for trajectory classification cannot deal with the complexity of heterogeneous data dimensions or the sequential aspect that characterizes movement. In this paper we propose MARC, an approach based on attribute embedding and Recurrent Neural Networks (RNNs) for classifying multiple-aspect trajectories, that tackles all trajectory properties: space, time, semantics, and sequence. We highlight that MARC exhibits good performance especially when trajectories are described by several textual/categorical attributes. Experiments performed over four publicly available datasets considering the Trajectory-User Linking (TUL) problem show that MARC outperformed all competitors, with respect to accuracy, precision, recall, and F1-score.