海洋沉积物中异化铁还原细菌还原重金属Cr(VI)研究

利用异化铁还原细菌处理Cr（VI）是重金属污染修复领域的一个新兴研究方向。本文以海洋沉积物中异化铁还原混合菌群为研究对象,分析铁还原细菌异化铁还原性质对重金属Cr（VI）还原效率的影响。菌群异化铁还原性质的实验结果表明,以柠檬酸铁和氢氧化铁为不同电子受体时,菌群异化铁还原的效率存在差异,培养体系累积Fe（Ⅱ）浓度分别为85.08 ±5.85 mg/L和32.55 ±4.78 mg/L。电子受体对混合菌群组成的影响主要表现在,以柠檬酸铁和氢氧化铁为电子受体时,混合菌群多样性Shannon指数分别是4.615和4.158,较对照组高（Shannon指数3.735）。异化还原Fe（Ⅲ）培养体系中,细菌种群的优势菌属是Clostridium,属于梭菌目Clostridiales,表明梭菌是参与Fe（Ⅲ）还原的主要优势菌。菌群异化铁还原性质对Cr（VI）还原效率影响的实验结果表明,柠檬酸铁为电子受体,细菌在Fe（Ⅲ）浓度为1 120 mg/L时异化铁还原效率高,并且还原Cr（VI）达100%。氢氧化铁为电子受体,Fe（Ⅲ）浓度1 680 mg/L时,异化铁还原Cr（VI）效率高（72%）,是对照组4倍。研究结果为进一步应用微生物治理重金属Cr（VI）污染提供理论依据。     

数据同化的南海台风浪后报模式

将基于最优插值(OI)的同化并行模块植入第三代海浪模式WAVEWATCH III version3.14, 建立数据同化的台风海浪模式预报系统。该系统的强迫风场采用模型台风风场与台风来前海区背景风场混成的风场。以模式后报2010 年7 月严重影响南海北部的“康森”和“灿都”台风引起的海浪场为例, 首先对所构造的混合风场的台风海面风场结构进行定性检验, 并用高度计沿轨风速对混合风场精度进行定量验证。在此基础上, 海浪模式在混合风场强迫下边积分边同化。同化数据采用上述台风过境南海期间Jason-2 卫星高度计沿轨有效波高 (SWH)。值得指出的是, 同化时只取SWH 沿轨数据的一部分用于同化计算, 而另一部分沿轨数据则用于对同化分析结果进行检验。先后同化了4 条轨道上的SWH数据。将SWH 的同化分析与无同化的对照组结果分别与高度计测量SWH 比较, 发现同化较无同化可使均方根误差获得50%以上的明显改进。以同化分析场作为初始场, 同化影响预报(这里是后报)的时效性约在48 h 以内。本研究目的是通过同化高度计SWH 数据进一步提升台风海浪模式预报的准确度。     

The probability of detecting first generation stars of the Galaxy

First generation stars are the oldest stars that were formed in post-big bang, primitive gas, containing no elements heavier than carbon, with ages greater than 14 Gyr and having undergone no evolution so far. Observations over a long time have confirmed that, up to now, no stars with zero metallicity ([Fe/H]) or with [Fe/H]≤ −6 have been found in the Galaxy. To explain this absence, we shall make a theoretical calculation of the probability of detecting first generation stars using Tsuiimoto et al.'s model of chemical evolution of the galactic halo and assuming an initial mass function of the Miller-Scalo form. We use all the observational data on the halo stars to constrain the parameters. Our result is that, if the mass of the cloud that formed the stars is 10⁶–10⁷ M, then the probability of detecting first generation stars is 6.14×10⁻⁴–6.14×10⁻⁵.     

UV-Vis spectrophotometric and XAFS studies of ferric chloride complexes in hyper-saline LiCl solutions at 25-90 °C

The speciation and thermodynamic properties of ferric chloride complexes in hydrothermal solutions and hypersaline brines are still poorly understood, despite the importance of this element as a micronutrient and ore-component. Available experimental data are limited to room temperature and relatively low chloride concentrations. This paper reports results of UV-Vis spectrophotometric and synchrotron XAFS experiments of ferric chloride complexes in chloride concentrations up to 15 m and at temperatures of 25-90 °C. Qualitative interpretation of the UV-Vis spectra shows that FeCl²⁺, FeCl₂⁺, FeCl_3(aq) and FeCl₄⁻ were present in the experimental solutions. As chloride concentrations increase, higher ligand number complexes become important with FeCl₄⁻ predominating in solutions containing more than 10 m at 25 °C. The predominance fields of FeCl_3(aq) and FeCl₄⁻ expand to lower Cl concentrations with increasing T. Both XANES and UV-Vis spectra reveal a major change in the geometry of the complex between FeCl₂⁺ and FeCl_3(aq). EXAFS data confirm that the number of chloride ligands increases with increasing chloride concentration and show that Fe³⁺, FeCl²⁺ and FeCl₂⁺ share an octahedral geometry. FeCl_3(aq) could be either tetrahedral or trigonal dipyramidal, while FeCl₄⁻ is expected to be tetrahedral. EXAFS data support a tetrahedral geometry for FeCl₄⁻, especially at 90 °C, but do not allow to distinguish between a tetrahedral or trigonal dipyramidal geometry for FeCl_3(aq) because of similar Fe-Cl distances. At room temperature, EXAFS data suggest that FeCl_3(aq) may be a mixture of octahedral and tetrahedral or trigonal dipyramidal forms.The room temperature formation constants for three ferric chloride complexes (FeCl₂⁺, FeCl_3(aq) and FeCl₄⁻) determined from the UV data are generally in good agreement with previous studies. Calculations based on the properties extrapolated to 300 °C show that hematite solubility is much higher than previously estimated, and that the high orders complexes FeCl_3(aq) and FeCl₄⁻ are important at high temperatures even in solutions with low chloride concentrations. The accuracy of these properties is limited by a poor understanding of activity-composition relationships in concentrated electrolytes, and by limitations in the available experimental techniques and extrapolation algorithms; however, the inclusion of higher order complexes in numerical models of ore transport and deposition allows for a more accurate qualitative prediction of Fe behaviour in hydrothermal and hypersaline systems.     

Time structure of solar decametre type III radio bursts

The time structure of solar radio decametre Type III bursts occurring during the periods of enhanced emission is investigated. It is found that the time profiles can take a variety of forms of which three distinct types are the following: (1) profiles where the intensity rises to a small but steady value before the onset of the main burst, (2) the intensity of the main burst reduces to a finite level and remains steady before it decays to the base level, (3) the steady state is present during the rise as well as the decay phase of the main burst. It is shown that these profiles are not due to random superposition of bursts with varying amplitudes. They are also probably not manifestations of fundamental-harmonic pairs. Some of the observed time profiles can be due to superposition ot bursts caused by ordered electron beams ejected with a constant time delay at the base of the corona.     

An efficient algorithm for generating a spherical multiple-cell grid

This paper presents an efficient algorithm for generating a spherical multiple-cell(SMC) grid. The algorithm adopts a recursive loop structure and provides two refinement methods:(1) an arbitrary area refinement method and(2) a nearshore refinement method. Numerical experiments are carried out, and the results show that compared with the existing grid generation algorithm, this algorithm is more flexible and operable.     

东山湾海水中Fe(II)和Fe(III)相互转化围隔实验研究

根据2008 年8 月与11 月在东山湾海域获得的调查资料对表层水中溶解态Fe(II)和Fe(III)含量、浮游植物叶绿素a、营养元素及其浓度等环境参数进行分析。结果表明, 夏、秋季海水中Fe(II)浓度及其在总溶解铁中所占比例均与浮游植物叶绿素a 呈正相关, 其相关系数分别为0.7959、0.9219。现场围隔实验表明, 海水中总溶解态Fe 含量在24 h 内有较大的变化, 最大减少量达到17.4%。DS2 站点海水中Fe(II)浓度及其在总溶解铁中所占比例随光照强度增加而增加。最高值与初始值相比较, 叶绿素a 较高的DS2 站点海水中Fe(II)浓度增加较叶绿素a 较低的DS5 号站点高0.053μg/L。Fe(II)和Fe(III)加富实验研究了溶解态的Fe(II)和Fe(III)在海水中相互转化。高浓度的Fe(II)在海水中被氧化成Fe(III),海水中浮游植物也会引发光还原作用使Fe(III)还原成Fe(II)。     

WAVEWATCHIII 同化模块的建立和检验

将基于最优插值 (OI) 的同化并行模块植入全谱空间的第三代海浪模式WAVEWATCH III version3.14,建立数据同化的海浪模式预报系统, 并通过实际的预报个例对同化系统进行检验。个例实验是以5°S 以北的印度洋海域为目标计算区域, 海面风场强迫采用业务单位的中尺度天气预报模式WRF(weather research and forecast) 提供的逐时海面风场预报产品。模式积分过程中连续同化2010 年12 月15 日、16 日和17 日过境北印度洋的Jason-2 卫星高度计沿轨有效波高 (SWH) 数据 (需要指出的是, 每次同化得到新的SWH 分析场后需重构相应的二维海浪谱用于谱模式)。SWH 同化分析值和无同化的对照组分别与高度计沿轨观测数据比较发现, 就日平均统计来看, 同化较无同化使SWH分析值的均方根误差减小约25%～50%。以SWH 同化分析场作为初始场的预报表明, 同化对预报影响的时效性可延长至48～60 h。本研究目的是通过将高度计测量的SWH 数据同化到海浪模式进一步提升海浪数值预报的准确度。     

Treatment of arsenic rich waters by the HDS process

Arsenic contaminated waters are not uncommon; indeed from naturally occurring contaminated waters through to those that are a direct consequence of human activities such as mining, all are affecting the quality of water resources worldwide. The ever increasing demands on natural water resources mean that the effective control of this toxic contaminant is paramount and this is reflected in the ever increasing global legislation.There are currently three mechanisms by which arsenic is commercially treated in effluents. These are physical separation processes such as reverse osmosis, precipitation/adsorption processes, some of which are bacterially assisted, and a whole variety of ion exchange processes, again with some bacterial enhancement. The choice of treatment is not only driven by cost but by the chemistry of the water and the water quality standard to be met.In this study a very high arsenic enriched groundwater, containing in excess of 25,000 µg/L arsenic, was treated by a typical treatment method through a continuously operated pilot plant. In the treatment, iron III salts were added to the influent in order to form precipitates with the arsenic and to form an adsorptive surface that would assist with treatment of the enriched water. This addition of iron III salts for the removal of arsenic is common practice in the water treatment industry as the resulting iron III arsenates are highly stable.However, results from the pilot plant show that the process was further enhanced by the addition of small amounts of hydrogen peroxide. Hydrogen peroxide is a powerful oxidising reagent and assists in ensuring the complete conversion of any arsenic III to arsenic V that was then effectively removed in the pilot plant. After treatment residual arsenic levels of 10 µg/L were obtained compared to 68 µg/L without oxidation reagent addition.     

Photochemical activity and characterization of the complex of humic acids with iron(III)

This study examined the effects of humic acids (HA) and Fe(III)–HA complex on the photodegradation of atrazine, one of the most widely used herbicides. It was shown that the photolysis of atrazine proceeded via first-order reaction kinetics and that atrazine photodegradation was inhibited by the presence of HA, whereas the rate for atrazine photolysis was promoted in solutions containing both HA and Fe(III). Interactions of Fe(III) with HA were characterized by SEM, EDX, UV–Vis and FTIR, revealing that Fe(III)–HA complex was formed by ligand exchange between oxygen groups of HA and Fe(III). Using fluorescence spectrometry the stability constant (K_c) and the fraction of fluorophores available for complexation (f) were obtained as log K_c = 4.28 and f = 74%. Photoformed Fe(II) by ligand-to-metal charge-transfer (LMCT) within the Fe(III)–HA complex was the most important factor involved in photolysis of atrazine, since Fe(II) was the reactant to generate hydroxyl radical. Thus, the rate of atrazine photodegradation in natural sunlit waters is dependent on both the amount of iron present and the interaction between HA and iron.