Geochemistry of the Rare Earth Elements in Natural Terrestrial Waters：A Review of What Is Currently Knows

The range of observed chemical compositions of natural terrestrial waters varies greatly especially when compared to the essentially constant global composition of the oceans.The concentrations of the REEs in natural terrestrial waters also exhibit more variation than what was reported in seawater,In terrestrial waters ,pH values span the range from acid up to alkaline,In addition,terrestrial waters can range from very dilute waters through to highly concentrated brines.The REE concentrations and their behavior in natural terrestrial waters reflect these compositional ranges,Chemical weathering of rocks represents the source of the REEs to natural terrestrial waters and ,consequently,the REE signature of rocks can impart their REE signature to associated waters,In addition,Because of the typical low solubilities of the REEs both surface and solution complexation can be important in fractionating REEs in aqueous solution.Both of these processes are important in all natural terrestrial waters,however,their relative importance varies as a function of the overall solution composition,In alkaline waters,for example,Solution complexation of the REEs with carbonate ions appears to control their aqueous distributions whereas in acid waters,the REE signature of the labile fraction of the REEs is readily leached from the rocks.In circumneutral pH waters,both processes appear to be important and their relative significance has not yet been determined.     

鄂尔多斯盆地中生代晚期以来大地热流的变化及其对生态环境格局和演变的影响

鄂尔多斯盆地的西北部、东北部和南部三个区域现今大地热流平均值分别为56．3、67．3和65．3mW／m^2，对应的生态环境格局也有明显的差异。研究表明，大地热流每增加4～5mW／m^2可使年均地表温度升高约l℃，使最低月均地表温度升高2。C以上。鄂尔多斯盆地东北部的平均大地热流比西北部高出11mW／m^2，东北部年均地表温度可能比西北部高出2～3℃，其最低月均地表温度可能比西北部高出4～6℃。西北部的大地热流平均值已经低于维持地表生态系统延续所需大地热流的临界值(57mW／m^2)，其自然生态系统整体上已经处于脆弱境地；东北部和南部的大地热流均大于57mW／m^2，自然生态系统均尚较稳健。东北部的沙漠化可能是风沙侵入的结果，其生态应该是可以恢复的。整个西北部作为一个整体看，72万年以前大地热流就已衰减到临界值以下，区域生态系统渐趋脆弱，开始整体上向荒漠化演变。     

Intra-interstadial environmental changes in Last Glacial loess revealed by molluscan assemblages from the Upper Palaeolithic site of Amiens-Renancourt 1 (Somme,France)

The Amiens-Renancourt 1 site recently yielded one of the most important Upper Palaeolithic human occupations of northern France by the number of flint artefacts and especially by the presence of Venus figurines. All the material comes from a single archaeological layer located in a tundra gley bracketed by loess units. A multi-proxy study combining a detailed stratigraphy, luminescence and radiocarbon datings and high-resolution (5 cm per sample) grain size and molluscan analyses was therefore carried out to reconstruct and date the associated environmental changes and to determine the exact context of the human occupation. The chronological frame thus established supports the correlations of the archaeology-bearing tundra gley and of an underlying arctic brown soil with Greenland interstadials GI-4 and GI-3. Composition changes in the molluscan population enabled the identification of transitional and optimum phases and sub-phases within these two pedogenetic horizons. A conceptual correlation model linking molluscan phases with millennial-scale variations of Greenland ice-core and Sieben Hengste speleothem climate records is proposed. The Human occupation appears contemporaneous to the end of the stadial–interstadial transition of GI-3. Synchronous in Amiens-Renancourt 1 and Nussloch, subsequent micro-gleys may also result from a regional/global forcing. Such a level of detail is unprecedented in a loess sequence.     

Retrieval of effective leaf area index (LAIe) and leaf area density (LAD) profile at individual tree level using high density multi-return airborne LiDAR

As an important canopy structure indicator, leaf area index (LAI) proved to be of considerable implications for forest ecosystem and ecological studies, and efficient techniques for accurate LAI acquisitions have long been highlighted. Airborne light detection and ranging (LiDAR), often termed as airborne laser scanning (ALS), once was extensively investigated for this task but showed limited performance due to its low sampling density. Now, ALS systems exhibit more competing capacities such as high density and multi-return sampling, and hence, people began to ask the questions like—“can ALS now work better on the task of LAI prediction?” As a re-examination, this study investigated the feasibility of LAI retrievals at the individual tree level based on high density and multi-return ALS, by directly considering the vertical distributions of laser points lying within each tree crown instead of by proposing feature variables such as quantiles involving laser point distribution modes at the plot level. The examination was operated in the case of four tree species (i.e. Picea abies, Pinus sylvestris, Populus tremula and Quercus robur) in a mixed forest, with their LAI-related reference data collected by using static terrestrial laser scanning (TLS). In light of the differences between ALS- and TLS-based LAI characterizations, the methods of voxelization of 3D scattered laser points, effective LAI (LAIe) that does not distinguish branches from canopies and unified cumulative LAI (ucLAI) that is often used to characterize the vertical profiles of crown leaf area densities (LADs) was used; then, the relationships between the ALS- and TLS-derived LAIes were determined, and so did ucLAIs. Tests indicated that the tree-level LAIes for the four tree species can be estimated based on the used airborne LiDAR (R² = 0.07, 0.26, 0.43 and 0.21, respectively) and their ucLAIs can also be derived. Overall, this study has validated the usage of the contemporary high density multi-return airborne LiDARs for LAIe and LAD profile retrievals at the individual tree level, and the contribution are of high potential for advancing forest ecosystem modeling and ecological understanding.     

基于可移动角点的航空和地面LiDAR数据配准

针对航空和地面LiDAR数据配准中点云数据的共轭特征较少且精度差异较大的问题,提出了一种基于可移动角点的航空和地面LiDAR数据配准方法:从航空和地面LiDAR数据中分别提取相应的建筑物角点,采用6参数模型对角点进行初始配准;以地面角点为参照,利用迭代移动方法对误差较大的航空角点进行修正;最后根据移动后的航空和地面角点计算获得点云配准关系。实验结果表明,该文方法可取得较好的点云配准效果,角点修正后能有效提升点云配准精度,适合于含有角点特征的航空和地面LiDAR数据配准。     

兴蒙造山带—华北克拉通地球化学走廊带沉积物主成分的含量与空间分布研究

选取兴蒙造山带—华北克拉通地球化学走廊带上沉积物的SiO_2、Al_2O_3、CaO、MgO、Na_2O、K_2O、TFe_2O_3、FeO、TiO_2、MnO、P_2O_5、CO_2、H_2O~+、pH十四个指标,研究其在不同二级构造单元、地理景观、土壤类型、降雨量等级下的含量与空间分布特征,并讨论该地球化学走廊带上化学蚀变指数。结果表明:在兴蒙造山带—华北克拉通地球化学走廊带上,作为沉积物主体的SiO_2、Al_2O_3两者含量为明显负相关而空间分布表现出此消彼长的特征;CaO、MgO、CO_2高含量分布区则与碳酸盐岩地层或含碳酸盐矿物的土壤有关,而MgO的高含量还与走廊带上镁铁质基性-超基性岩有一定关系,表明了这三个指标的高含量受特定岩性或矿物的影响较大;Na_2O、K_2O含量除了受继承的基岩影响外,还受到后期的风化作用和气候及自身地球化学性质等复杂因素综合影响,对Na_2O来说尤为如此;TFe_2O_3、MnO、TiO_2、P_2O_5相对于在地质背景复杂地段,经过冲积平原的沉积物混匀后,含量差异更小;相对干冷的内蒙古半干旱草原的气候条件有利于FeO存在,使得其相对燕山地区含量差异较TFe_2O_3要小,在章丘以南相对温暖湿润地区更易被氧化而导致其含量整体较低;北方干冷气候条件下,沉积物H_2O~+含量普遍较低,局部高含量位于碳酸盐岩地层或第四系分布区;走廊带上的pH值反映了沉积物偏碱性的特征,而在章丘以南的地区随着降雨量的增加,相对温暖湿润的气候条件,沉积物pH值表现为中性-偏弱酸性;兴蒙造山带—华北克拉通地球化学走廊带沉积物的CIA值反映出在寒冷、干燥气候条件下低等的化学风化程度,兴蒙造山带沉积物平均风化程度相对华北克拉通沉积物的平均风化程度差异变化相对要小,显示兴蒙造山带的降雨量与温度等风化影响因素变化较小。作为反映元素的地球化学亲和性的量化指标,离子电位可以更好地帮助理解沉积物元素的含量和空间分布差异。     

陆地生态系统氮状态对碳循环的限制作用研究进展

陆地生态系统碳循环和氮循环密切相关, 碳贮量与碳通量在很大程度上受氮循环的影响 和限制。由于氮循环的复杂性, 在以往的大多数碳循环研究中, 更多考虑水分、温度和大气CO2 浓 度等因子的影响, 考虑碳氮相互作用的研究较少。氮素可限制植物光合、有机质分解、同化产物的 分配以及生态系统对大气CO2 浓度升高的响应。根据目前有关碳氮模型的发展状况可将碳氮耦 合循环模型分为三大类: 一是静态模型, 它的土壤养分水平或者叶氮含量不变, 是常数, 这类模型 适合于在站点或氮素浓度变化不大的区域应用; 二是土壤氮限制模型, 能够保持稳定的生态系统 氮收支, 在NPP(Net Primary Productivity, 净初级生产力)的模拟中考虑土壤氮有效性的动态变化 的影响, 使模拟结果更为合理; 三是叶氮限制模型, 在NPP 的模拟中考虑叶片氮浓度的动态变化 的影响。这三类模型虽然都考虑了氮对碳循环的限制作用, 但在氮碳循环机理方面尚有不少欠 缺, 所以在研究中可能会带来很大的不确定性。在以后的研究中, 应通过加强碳氮相互作用的实 验研究, 增进对碳氮过程的深入了解, 进而建立综合动态的碳氮耦合模型, 以减少目前碳循环研 究中的不确定性。     

青藏高原中东部水热条件与NDVI的空间分布格局

青藏高原受大气环流和地势格局的共同作用,水热条件及植被空间分布呈现独特的三维地带性特征。但是青藏高原范围广、地势起伏大,水热条件及植被空间分布具有明显区域差异。本文利用青藏高原中东部100个气象站1982²000年的降水、气温资料以及同期NO-AA AVHRR植被指数产品（NDVI）,分析水热条件及植被的空间分布特征。首先,设置经向、纬向海拔渐变样带,考察海拔对水热条件及NDVI空间分布的影响;然后,按500米海拔间隔进行站点分组,分析约束了海拔高差后的经纬位置对水热条件及NDVI空间分布的影响。研究表明:在青藏高原中东部由于海拔高差大,热量条件分布首先受海拔递减规律控制,其次才表现出因太阳辐射差异的纬度地带性;而降水分布则主要受水汽通道位置和方向的影响,北上水汽和东部偏南走向山脉是研究区降水经向特征的主要成因;指示植被状况的年均NDVI,则受水热组合的控制,其分布格局是二者的叠加与综合。     

Design of high precision horizontal control network for large-scale hydropower project

IntroductionThe design of high precision horizontal controlnetwork for large-scale hydropower project toconstruct control network and measure deforma-tion of monitoring network.It can be also divid-ed into horizontal control network and verticalcontrol ne…     

Terrestrial heat flow and lithospheric thermal structure in the Chagan Depression of the Yingen-Ejinaqi Basin,north central China

The Chagan Depression in the Yingen-Ejinaqi Basin, located at the intersection of the Paleo-Asian Ocean and the Tethys Ocean domains is an important region to gain insights on terrestrial heat flow, lithospheric thermal structure and deep geodynamic processes. Here, we compute terrestrial heat flow values in the Chagan Depression using a large set of system steady-state temperature data from four representative wells and rock thermal conductivity. We also estimate the “thermal” lithospheric thickness, mantle heat flow, ratio of mantle heat flow to surface heat flow and Moho temperature to evaluate the regional tectonic framework and deep dynamics. The results show that the heat flow in the Chagan Depression ranges from 66.5 to 69.8 mW/m², with an average value of 68.3 ± 1.2 mW/m². The Chagan Depression is characterized by a thin “thermal” lithosphere, high mantle heat flow, and high Moho temperature, corresponding to the lithospheric thermal structure of “cold mantle and hot crust” type. We correlate the formation of the Yingen-Ejinaqi Basin to the Early Cretaceous and Cenozoic subduction of the western Pacific Plate and the Cenozoic multiple extrusions. Our results provide new insights into the thermal structure and dynamics of the lithospheric evolution in central China.