铁在含水层介质中的沉积行为研究

为分析铁在含水层介质中的沉积行为,以石英砂为实验材料,研究了铁在石英砂表面的吸附规律,并对接触时间、铁浓度、腐植酸、钙离子等对沉积过程的影响进行了探讨。结果表明:铁在石英砂上的沉积是单分子层沉积,且沉积过程符合准一级动力学模型。低浓度腐殖酸会促进铁在石英砂上的沉积,但受络合作用影响,增加腐植酸浓度会减少铁在石英砂上的沉积。当水中存在阳离子Ca2+和阴离子SO42-时,会促进铁的沉积,NO3-离子的影响较小,而高浓度F-离子会阻碍铁的沉积。     

The influence of air mass source on the seasonal isotopic composition of precipitation, eastern USA

As part of the AIRMoN program, daily precipitation samples have been collected since the early 1990s throughout the eastern and central United States. Using precipitation stable isotope (δ¹⁸O and δD) and HYSPLIT back trajectory analysis of 591 samples collected by the AIRMoN program from Florida, Illinois, Pennsylvania, Tennessee, Vermont, and West Virginia, amount weighted seasonal average isotopic compositions were calculated for precipitation from Continental, Pacific, Gulf of Mexico, Arctic, North Atlantic, and Mid Atlantic sources. Our results suggest that these sources are isotopically distinct and variable at and among most sites during most seasons. However, in many instances, the isotopic differences of the sources require dramatic changes in precipitation amounts from these sources to modify the seasonal average isotopic composition at a particular site. The relative importance of each source type to the seasonal average isotopic composition is highly variable among and within sites. The largest differences in the isotopic compositions of different sources are in winter and spring precipitation from the high latitude sites. At the Vermont location, the seasonal average isotopic composition is potentially quite sensitive to the relative amounts of precipitation from Arctic and Gulf of Mexico sources.     

Nickeloan pyrite from Prangenhaus quarry, Niederberg area, Germany—A short communication

The mineral chemistry of two nickeloan pyrite samples from the Prangenhaus quarry, Wülfrath, is presented. Sample PRH 5: main zone=4.32-9.7 wt% Ni (0.089-0.202 atoms per formula unit (a.p.f.u.)), 0.21-1.31 wt% Co (0.004-0.027 a.p.f.u.); rim zone=11.76-22.38 wt% Ni (0.244-0.466 a.p.f.u. ), 1.35-8.16 wt% Co (0.028-0.168 a.p.f.u.). Sample PRH 6: 6.75-11.33 wt% Ni (0.139-0.234 a.p.f.u.), 0.86-2.46 wt% Co (0.018-0.051 a.p.f.u.). Estimated Fe/Ni and Fe/Co ratios of the hydrothermal fluids forming the nickeloan pyrite point to very local fluctuations in the chemistry of the ore forming fluids in the Prangenhaus quarry. The presence of nickeloan pyrite indicates formation temperatures below 137 °C, which is in accordance with earlier findings of formation temperatures for sphalerite (60-130 °C) in the Niederberg area.     

青藏高原东北侧夏季降水异常与澳大利亚东侧海温异常的关系研究

利用青藏高原东北侧地区15个地面观测站1960—1999年逐月降水资料和全球SSTA资料,采用相关分析,发现青藏高原东北侧夏季降水与澳大利亚东侧海温存在显著而稳定的负相关关系。在此基础上选取了海温影响(165°～175°E,31°～21°S)进行分析。结果表明:青藏高原东北侧夏季降水与前一年1～3月关键海区SSTA及其分布型存在较好的对应关系,关键海区SSTA是影响青藏高原东北侧夏季降水异常的主要因子之一。     

锌在生物磷灰石中的晶体化学研究进展

Zn在生物磷灰石中的晶体化学行为不同于在地质体中,传统的磷灰石类质同像替代理论对生物磷灰石中的Ca位替换并不完全适用。为了解释生物磷灰石中Zn的出现,本文对已知的生物磷灰石中Zn的存在情况、Zn对Ca的替代机制以及Zn替代对生物磷灰石的影响等内容进行了综述,并就Zn在生物磷灰石中的晶体化学研究对人体肿瘤诊疗的启示作用进行了简单的讨论。理论和实验均表明Zn可以进入生物磷灰石晶格,占据有Ca缺陷的磷灰石晶格中的Ca2位空缺,使局部结构整体收缩。Zn的掺入对生物磷灰石的晶粒尺寸、结晶度、晶胞参数等均会产生较大的影响。当Zn被固定在人体肿瘤伴有的病理性钙化晶格中时,其可能对周围组织及体液中的Zn含量产生影响,进而影响人体内Zn的新陈代谢。     

沉积物中重矿物KIM的找矿方法和意义

在水系沉积物中进行重砂矿物取样仍然是寻找以矿体或含矿母岩为目标体的主要手段之一,但对于金刚石矿干扰体很多。金伯利岩中与金刚石伴生的镁铝榴石、铬铁矿、钛铁矿和透辉石风化后形成以金伯利岩为中心的分散晕,在水系沉积物中采集KIM并进行分析可以有效地排除干扰体,进而不断地接近真正的目标。     

Compositional variability of spinel-group minerals from the shergol serpentinized peridotites along indus suture zone,ladakh himalaya (India): constraints on tectonomagmatic history

The Shergol ophiolitic peridotites along ISZ, Ladakh Himalaya are serpentinized to various degrees and are harzburgite in composition. Electron microprobe analyses of spinels from Shergol Serpentinized Peridotites (SSPs) were carried out in order to evaluate their compositional variation with alteration. Chemical discontinuity was observed from core to rim in analyzed spinel grains with Cr-rich cores rimmed by Cr-poor compositions. From unaltered cores to rims it was observed that Cr³⁺# and Fe³⁺# increases while Mg²⁺# decreases due to Mg²⁺ − Fe²⁺ and Al³⁺ (Cr³⁺) − Fe³⁺ exchange with surrounding silicates during alteration. These peridotites contain Al-rich spinels forming subhedral to anhedral grains with lobate and corroded grain boundaries; altered to ferritchromite or magnetite along cracks and boundaries by later metamorphism episode. The unaltered Cr-spinel cores are identified as Al-rich and are characterized by lower values of Cr³⁺# (0.34–0.40), high Al³⁺# (0.58–0.68) and Mg²⁺# (0.52–0.70). Mineral chemistry of these Al-rich Cr-spinels suggest that host peridotites have an affinity to abyssal and alpine-type peridotites. High TiO₂ concentration of magmatic Cr-spinel cores are in agreement with MORB melt-residual peridotite interaction. Presence of unaltered magmatic Cr-spinel cores suggest that they do not have re-equilibrated completely with metamorphic spinel rims and surrounding silicates. Cr-spinel core compositions of SSPs suggest an ophiolitic origin derivation by low degrees of melting of a less-moderate depleted peridotite in a mid-ocean ridge tectonic setting. Based on textural and chemical observations the alteration conditions of studied spinel-group minerals match those of transitional greenschist-amphibolite facies metamorphism consistent with estimated metamorphic equilibration temperature of ∼ 500–600 ^°C.     

The distinctive compositional evolution of glauconite in the Cretaceous Ukra Hill Member (Kutch basin,India) and its implications

An integrated study involving sedimentology, mineral chemistry and spectroscopy highlights a distinctive compositional evolution of Cretaceous glauconite within the Ukra Hill Member. Glauconite occurs at the top part of transgressive systems tract deposits built on a marine shelf. The concentration of glauconite steadily increases towards the maximum flooding surface, maximizing around 50%, and sharply falls at the onset of progradation. Unlike most Phanerozoic examples, Ukra glauconite forms by the variable degree of replacement of quartz, feldspar and mica grains. XRD, FEG-SEM and spectroscopy of glauconite pellets indicate an ‘evolved’ stage of maturation. Mossbauer spectroscopy reflects a minor substitution of Al^3+-Fe³⁺ (total) in tetrahedral sites and significant substitution of the same in octahedral sites. A consistently high value of K₂O as well as Fe₂O₃ contradicts the two popular theories, ‘layer lattice’ and ‘verdissement’, and support replacement origin of glauconite in a high a_Si+ and high a_K+ pore water environment. Incipiently formed glauconite records a marginal increase in K₂O content accompanied by release of Al₂O₃ and SiO₂ to form evolved glauconite pellets; those forming within quartz grains involve an addition of Fe₂O₃ (total) content during maturation. The minimal increase in K₂O content of incipiently formed glauconite, best exhibited by those formed within quartz grains is possibly related to stratigraphic condensation. Compositional evolution like this is exhibited by Precambrian glauconites involving abiotic substrates, but is unusual for the Phanerozoic. Original K₂O and Fe₂O₃ (total) content of glauconites is reduced around peripheries and fractures during diagenesis, adding to compositional variability.     

Progress in Lightning Forecast by Using Numerical Weather Models and Model Outputs

Lightning can threaten human and equipment safety. An indicator of sever convective weather, it plays an important role in atmospheric chemistry. The intensive studies have advanced the lightning forecast in the mesoscale weather models and its application in global climate models. There are three methods to forecast lightning by using numerical weather models: Numerical diagnosis prediction based on synoptic background filed statistical relations; Flash rate parameterization developed with the relationship between dynamical, microphysical and electrification processes, and The numerical weather model coupled with the explicit electrification and lightning parameterization schemes. In this paper, the research progress in lightning forecast with three above-mentioned methods were reviewed, and the future research issues on lightning forecast were also discussed.     

Clustering spatial–temporal precipitation data using wavelet transform and self-organizing map neural network

A data analysis method is proposed to cluster and explore spatio-temporal characteristics of the 22 years of precipitation data (1982–2003) for Taiwan. The wavelet transform self-organizing map (WTSOM) framework combines the wavelet transform (WT) and a self-organizing map (SOM) neural network. WT is used to extract dynamic and multiscale features of the non-stationary precipitation time-series, and SOM is applied to objectively identify spatially homogeneous clusters on the high-dimensional wavelet-transformed feature space. Haar and Morlet wavelets are applied in the data preprocessing stage to preserve the desired characteristics of the precipitation data. A two-level SOM neural network is applied to identify clusters in the wavelet space in the clustering stage. The performance of clustering is evaluated using silhouette coefficients. The results indicate that singularities or sharp transitions are more significant than changes in the periodicity or data structure in the spatial–temporal precipitation data. The WTSOM results show that six clusters are optimal for both Haar and Morlet wavelet functions, but their corresponding geographic locations are different. The geographic locations of clusters based on the Haar wavelet, which captures the occurrence of extreme hydrological events, appear in blocks while those classified by the Morlet wavelet, which indicates periodicity changes and describes fine structures, appear in strips that cross the island of Taiwan. Principal component analysis is applied to the precipitation data of each cluster. The first principal components explain 62–90% of the total variation of data. Characteristics of precipitation data for each cluster are explored using scalogram analysis. The results show that both extreme hydrological events and periodicity changes appear in the spatial and temporal precipitation data but with different characteristics for each cluster. Recognizing homogeneous hydrologic regions and identifying the associated precipitation characteristics improves the efficiency of water resources management in adapting to climate change, preventing the degradation of the water environment, and reducing the impact of climate-induced disasters. Measures for countering the stress of precipitation variation for water resources management are provided.