黑龙江杂岩的碎屑锆石年代学及其大地构造意义

黑龙江杂岩带位于佳木斯地体西缘,为佳木斯地体向西与松嫩地体之间俯冲、拼贴、碰撞而形成的高压变质带.黑龙江杂岩沿牡丹江断裂分布,其构造-岩石组合、变质变形特征等显示其为佳木斯地体向松嫩地体俯冲拼帖的过程中形成的增生杂岩,目前保存下来的杂岩带应为大规模增生楔仰冲到佳木斯地体之上的残余部分.88颗碎屑锆石的全部样品SHRIMPU-Ph年代学测试结果显示三个主要年龄区间:170～220Ma,峰值年龄为183Ma;240～338Ma,峰值年龄为256Ma;450～520Ma,峰值年龄为470Ma.而28个碎屑锆石谐和年龄的年龄谱为两组:240～338Ma,峰值年龄为256Ma;450～500Ma,峰值年龄为470Ma.碎屑锆石年龄数据分析得到,240～338Ma峰期年龄为256Ma的年龄应代表黑龙江杂岩主体岩石的沉积年龄上限;而450～500Ma的年龄谱对应于佳木斯地体的基底变质岩年龄,显示佳木斯地体的基底变质岩曾为黑龙江杂岩的物源区;而170～210Ma,峰期年龄为183Ma的不谐和年龄应为受印支期-早侏罗世构造热事件的扰动年龄,与该区变质单矿物的Ar-Ar年龄相一致,应代表了该区陆-陆碰撞的时代.上述年龄为黑龙江杂岩的形成与演化提供了重要的地质年代学制约,即黑龙江杂岩的原岩成岩时代上限为早三叠世,佳木斯地体向西的俯冲时代主体为印支期,而陆-陆拼贴及碰撞过程主要为晚印支期并可能持续到早侏罗世.这些结果将为揭示我国东北地区构造演化的年代学格架以及三叠纪古亚洲构造域向环太平洋构造域叠加和转换的动力学背景研究提供新的基本地质事实依据.     

加强埃达克岩研究，开创中国Cu、Au等找矿工作的新局面

埃达克岩与浅成低温热液Au-Ag及斑岩型Cu、Cu-Au矿床有密切的关系，环太平洋地区多数大型和世界级的斑岩铜矿均与埃达克岩有关。埃达克岩有利于成矿的关键因素与埃达克岩形成时角闪石转变为石榴石的脱水作用有关，而水能萃取出在地幔和基性岩中富集的金属元素。因此，埃达克岩集中分布的地区有利于铜、金等矿化的聚集。中国铜矿资源严重不足，解决这个紧迫问题的出路在寻找斑岩铜矿。全球铜矿主要分布在环太平洋地区，中国与环太平洋类似的地区不是中国东部，而是古亚洲洋造山带、东北吉黑东部和西藏冈底斯。从国家目标出发，建议实施铜、金等找矿工作的战略转移，把浅成低温热液和斑岩型Au、Cu、Ag等矿床找矿的重点放在古生代的古亚洲洋造山带、晚古生代-中生代的吉黑东部和中-新生代的冈底斯地区。古亚洲洋造山带首选阿尔泰西南缘-东准噶尔、东天山和内蒙古中部3个地区。埃达克岩可以作为找矿标志来使用，因此，在找矿思路上也应当有一个变化，即：先找埃达克岩，再找矿。     

祁连山构造地貌特征:青藏高原东北缘晚新生代构造变形和地貌演化过程的启示

祁连山地区作为青藏高原向北东方向扩展生长的前缘地区之一,对构造地貌发育特征及其控制因素研究是理解青藏高原东北缘晚新生代构造变形过程的重要内容之一。通过地形坡度、起伏度以及河流纵剖面分析,研究揭示出祁连山高坡度、高陡度的造山带边缘山系及高海拔、低起伏山间盆地发育地貌特征。结合区域隆升、侵蚀速率研究表明,祁连山山脉边缘部分山系发育接近平衡状态,而河流裂点的广泛发育进一步表明整个祁连山山脉地区的地貌特征,特别是河流地貌发育仍然处于瞬时(transient)状态。通过对比祁连山山脉10个不同背景下的流域盆地,发现无论是内流水系,还是外流水系,流域上游地区均发育有低起伏、低坡度的山间盆地,这一特征表明控制祁连山内部发育平坦地形的因素并非取决于是内流还是外流水系,而可能主要受控于河流水系搬运能力的强弱。除此之外,通过对比祁连山地区盆地形态研究表明,西北侧的狭长、平行盆地主要受控于阿尔金断裂走滑应变在祁连山地区的缩短吸收,而东南侧的菱形盆地则受控于海原、东昆仑左旋走滑断裂带及其次级鄂拉山、日月山右旋走滑断裂所夹持的块体。以现有流域盆地宽度与面积之间的关系为基础,我们初步推测了祁连山造山带西北侧的构造缩短量大致为61km,对应整个祁连山的缩短率大致为17%,与祁连山南侧区域结果相当。当然,考虑到祁连山东南侧大通河流域区的缩短量与周边研究的差异,我们不能排除祁连山造山带早期的构造缝合线或先存断裂对部分流域的线性排列也起到了一定的控制作用。     

Spatiotemporal estimation of snow depth using point data from snow stakes,digital terrain models,and satellite data

Snow availability in Alpine catchments plays an important role in water resources management. In this paper, we propose a method for an optimal estimation of snow depth (areal extension and thickness) in Alpine systems from point data and satellite observations by using significant explanatory variables deduced from a digital terrain model. It is intended to be a parsimonious approach that may complement physical‐based methodologies. Different techniques (multiple regression, multicriteria analysis, and kriging) are integrated to address the following issues: We identify the explanatory variables that could be helpful on the basis of a critical review of the scientific literature. We study the relationship between ground observations and explanatory variables using a systematic procedure for a complete multiple regression analysis. Multiple regression models are calibrated combining all suggested model structures and explanatory variables. We also propose an evaluation of the models (using indices to analyze the goodness of fit) and select the best approaches (models and variables) on the basis of multicriteria analysis. Estimation of the snow depth is performed with the selected regression models. The residual estimation is improved by applying kriging in cases with spatial correlation. The final estimate is obtained by combining regression and kriging results, and constraining the snow domain in accordance with satellite data. The method is illustrated using the case study of the Sierra Nevada mountain range (Southern Spain). A cross‐validation experiment has confirmed the efficiency of the proposed procedure. Finally, although it is not the scope of this work, the snow depth is used to asses a first estimation of snow water equivalent resources.     

A network theory approach for a better understanding of overland flow connectivity

Hydrological connectivity describes the physical coupling (linkages) of different elements within a landscape regarding (sub‐) surface flows. A firm understanding of hydrological connectivity is important for catchment management applications, for example, habitat and species protection, and for flood resistance and resilience improvement. Thinking about (geomorphological) systems as networks can lead to new insights, which has also been recognized within the scientific community, seeing the recent increase in the use of network (graph) theory within the geosciences. Network theory supports the analysis and understanding of complex systems by providing data structures for modelling objects and their linkages, and a versatile toolbox to quantitatively appraise network structure and properties. The objective of this study was to characterize and quantify overland flow connectivity dynamics on hillslopes in a humid sub‐Mediterranean environment by using a combination of high‐resolution digital‐terrain models, overland flow sensors and a network approach. Results showed that there are significant differences between overland flow connectivity on agricultural areas and semi‐natural shrubs areas. Significant positive correlations between connectivity and precipitation characteristics were found. Significant negative correlations between connectivity and soil moisture were found, most likely because of soil water repellency and/or soil surface crusting. The combination of structural networks and dynamic networks for determining potential connectivity and actual connectivity proved a powerful tool for analysing overland flow connectivity. Copyright © 2016 John Wiley & Sons, Ltd.     

Rock associations and their spatial-Temporal variations of the early mesozoic igneous rocks in the NE Asia: Constraints on the initial subduction timing of the paleo-pacific plate北大核心CSCD

This paper summarizes rook associations and spatial-Temporal variations of the early Mesozoic igneous rocks in the NE Asia, with the aim of revealing the initial subduction timing of the Paleo-Pacific Plate beneath the Eurasia, and the relationships between the early Mesozoic magmatisms and the Paleo-Asian tectonic system, Mongol-Okhotsk tectonic system, and amalgamation of the Yangtze and North China cratons. Dating results indicate that the early Mesozoic magmatisms in the NE Asia can be subdivided into three stages, i.e., Early-Middle Triassic, Late Triassic, and Early Jurassic. The early Mesozoic calc-Alkaline magmatisms within the Erguna Massif reveal southward subduction of the Mongol-Okhotsk oceanic plate. The Triassic alkaline and bimodal magmatisms within the northern margin of the North China Craton indicate an extensional environment related to the final closure of the Paleo-Asian Ocean. The Late Triassic A-Type rhyo- lites and bimodal magmatisms, together with the Late Triassic stable sedimentary rocks, in eastern Heilongjiang-Jilin provinces, reveal an extensional environment and passive continental margin setting, whereas the Early Jurassic calc-Alkaline magmatisms and its compositional variations, together with the coeval accretionary complex, reveal the onset of the Paleo- Pacific plate beneath the Euirasian continent.     

Rb–Sr Dating of Gold‐Bearing Pyrite in the Jinchang Porphyry Cu–Au Deposit,Heilongjiang Province,NE China

The Jinchang Cu–Au deposit in Heilongjiang Province, NE China, is located in the easternmost part of the Central Asian Orogenic Belt. Rb–Sr analyses of auriferous pyrite from the deposit yielded an isochron age of 113.7 ±2.5 Ma, consistent with previously reported Re–Os ages. Both sets of ages represent the timing of Cu–Au mineralization because (i) the pyrite was separated from quartz–sulfide veins of the mineralization stage in granite porphyry; (ii) fluid inclusions have relatively high Rb, Sr, and Os content, allowing precise measurement; (iii) there are no other mineral inclusions or secondary fluids in pyrite to disturb the Rb–Sr or Re–Os decay systems; and (iv) the closure temperatures of the two decay systems are ≥500°C (compared with the homogenization temperatures of fluid inclusions of 230–510°C). It is proposed that ore‐forming components were derived from mantle–crust mixing, with ore‐forming fluids being mainly exsolved from magmas with minor amounts of meteoric water. The age of mineralization at Jinchang and in the adjacent regions, combined with the tectonic evolution of the northeast China epicontinental region, indicates that the formation of the Jinchang porphyry Cu–Au deposit was associated with Early Cretaceous subduction of the paleo‐Pacific Plate.     

Testing taxonomic resolution,data transformation and selection of species for monitoring macroalgae communities

The Water Framework and Habitats Directives require the evaluation of both the conservation and ecological status of macroalgae communities at water body or habitat level. However, assessments of macroalgal communities are highly time-consuming, both in terms of sampling effort and laboratory processing. These constraints have brought about their oversight in many marine monitoring programs, especially in subtidal environments. By using data from intertidal and subtidal macroalgae assemblages of Mouro Island (North coast of Spain) we wanted to identify possible cost-effective methods for monitoring this biological indicator, based on both high taxa levels and use of representative taxa. Multivariate analyses were applied using different data transformations. The results show that macroalgal communities are robust to aggregation to genus or even family level. Moreover, the outcomes show that transformation types introduce higher variation in the multivariate pattern of samples than the taxonomic level to which organisms are identified. Also, the study supports the use of representative taxa as a surrogate to overall community structure. Therefore, we conclude that a rapid-assessment by means of field evaluations, based on coverage of representative taxa, is a reliable alternative for the assessment of macroalgae status. In addition this procedure allows evaluation at a broader spatial scale (water body or habitat level) than traditional quantitative sampling procedure does.     

DAYTIME HEAT BALANCE FOR ESTIMATING NON-RADIATIVE FLUXES OF LAKE BANYOLES,SPAIN

Combining a six-term heat balance equation and a seasonal thermocline model, a new equation to calculate non- radiative fluxes of Lake Banyoles has been determined. Mean daily measurements of global solar radiation, downward longwave radiation, wind speed, air temperature and water surface temperature were used as input data and lake temperature as the calculated output data of the model. To calibrate performance of the new equation, calculated lake temperature was compared with measured lake temperature during both the mixing and the stratified period of the lake. The new coefficients in the wind function to calculate the non-radiative fluxes at the water surface were assumed to depend on the variability of the wind speed, the air temperature of the study area and the surface temperature of the lake. In addition, the results were used to estimate the heat balance of the air–water interface of Lake Banyoles over a period of two years. The processes that have been taken into account are shortwave and longwave radiation, back-radiation emitted by the lake, sensible and latent heat and throughflow.