微波消解-氢化物发生原子荧光光谱法测定粉煤灰中的硒

粉煤灰中含有的硒元素较高,有综合利用价值.由于基体的复杂性,并未形成成熟可靠的测定技术.本文参考煤炭样品和土壤样品中硒的原子荧光光谱分析方法,采用氢化物发生-原子荧光光谱法测定粉煤灰中的硒.样品经氢氟酸-硝酸-双氧水体系微波消解得到清亮、透明的消解液,消解液经浓盐酸还原后,加入三价铁盐消除共存元素的干扰,所加的铁盐量不干扰硒的测定.方法检出限为0.020 μg/g;平行测定5份粉煤灰样品,相对标准偏差低于4.2％;加标回收率为94.0％～105.0％.应用建立的方法对煤飞灰标准物质进行分析,测定值与标准值基本相符;对不同地区的实际粉煤灰样品进行分析,证实方法可靠,可用于粉煤灰中硒元素的测定.     

粉煤灰-粉质粘土对氟离子的吸附作用

不同土层对氟离子的吸附能力不同,在吸附能力较弱的土层建设贮灰场,会导致周边地下水中氟离子质量浓度较高,污染地下水。吉林市来发屯灰场运行多年来,地下水中氟离子质量浓度与背景环境未见明显差异,本文通过对来发屯灰场粉煤灰-粉质粘土和灰场外土层的比较分析,探究吸附机理,结果表明：粉煤灰-粉质粘土对氟离子有较强的吸附能力,能有效防止其对地下水的污染。     

钢铁厂周围不同污染介质的磁学性质及环境意义

为了通过钢铁厂周围不同污染介质的磁学性质研究,实现对环境污染的有效监测,本文系统地采集了河北兴隆和湖南娄底两个钢铁厂周围的树皮和草表面的飞灰、土壤及不同树种的年轮样品.其中前三者用来反映现今污染源,而树木年轮用来追踪长时间尺度的污染历史.通过综合岩石磁学实验分析（包括热磁曲线、磁滞性质和低温实验等）、电子扫描电镜(SEM)和能谱(EDX)以及X射线衍射(XRD)分析,发现钢铁厂周围现今污染源中的主要粗颗粒磁性矿物为磁铁矿、赤铁矿和纯铁.其中8~50 μm的球形磁铁矿颗粒和呈棱角状的铁颗粒是钢铁厂污染物的特征磁性矿物.对不同树种来说,其中香樟树和枫树树木年轮中的磁性矿物以顺磁性物质为主, 不适合用于环境磁学的污染监测.而柳树中的磁性矿物（主要为磁铁矿）与现今污染源的磁性矿物相符.以上研究表明多参数岩石磁学测量并辅以微观分析等手段,可以精确地提取磁性矿物的种类及粒度特征, 判别重工业区污染源,为应用磁学方法来监测环境污染提供依据.     

The AD 1362 Öræfajökull eruption,S.E. Iceland: Physical volcanology and volatile release

The explosive rhyolitic eruption of Öræfajökull volcano, Iceland, in AD 1362 is described and interpreted based on the sequence of pyroclastic fall and flow deposits at 10 proximal locations around the south side of the volcano. Öræfajökull is an ice-clad stratovolcano in south central Iceland which has an ice-filled caldera (4–5 km diameter) of uncertain origin. The main phase of the eruption took place over a few days in June and proceeded in three main phases that produced widely dispersed fallout deposits and a pyroclastic flow deposit. An initial phase of phreatomagmatic eruptive activity produced a volumetrically minor, coarse ash fall deposit (unit A) with a bi-lobate dispersal. This was followed by a second phreatomagmatic, possibly phreatoplinian, phase that deposited more fine ash beds (unit B), dispersed to the SSE. Phases A and B were followed by an intense, climactic Plinian phase that lasted ∼ 8–12 h and produced unit C, a coarse-lapilli, pumice-clast-dominated fall deposit in the proximal region. At the end of Plinian activity, pyroclastic flows formed a poorly-sorted deposit, unit D, presently of very limited thickness and exposed distribution. Much of Eastern Iceland is covered with a very fine distal ash layer, dispersed to the NE. This was probably deposited from an umbrella cloud and is the distal representation of the Plinian fallout. A total bulk fall deposit volume of ∼ 2.3 km³ is calculated (∼ 1.2 km³ DRE). Pyroclastic flow deposit volumes have been crudely estimated to be < 0.1 km³. Maximum clast size data interpreted by 1-D models suggests an eruption column ∼ 30 km high and mass discharge rates of ∼ 10⁸ kg s^− 1. Ash fall may have taken place from heights around 15 km, above the local tropopause (∼ 10 km), with coarser clasts dispersed below that under a different wind regime. Analyses of glass inclusions and matrix glasses suggest that the syn-eruptive SO₂ release was only ∼ 1 Mt. This result is supported by published Greenland ice-core acidity peak data that also suggest very minor sulphate deposition and thus SO₂ release. The small sulphur release reflects the low sulphur solubility in the 1362 rhyolitic melt. The low tropopause over Iceland and the 30-km-high eruption column certainly led to stratospheric injection of gas and ash but little sulphate aerosol was generated. Moreover, pre-eruptive and degassed halogen concentrations (Cl, F) indicate that these volatiles were not efficiently released during the eruption. Besides the local pyroclastic flow (and related lahar) hazard, the impact of the Öræfajökull 1362 eruption was perhaps restricted to widespread ash fall across Eastern Iceland and parts of northern Europe.     

Quantifying volcanic ash fall hazard to electricity infrastructure

Quantifying the potential ash fall hazards from re-awakening volcanoes is a topic of great interest. While methods for calculating the probability of eruptions, and for numerical simulation of tephra dispersal and fallout exist, event records at most volcanoes that re-awaken sporadically on decadal to millennial cycles are inadequate to develop rigorous forecasts of occurrence, much less eruptive volume. Here we demonstrate a method by which eruption records from radiocarbon-dated sediment cores can be used to derive forecasting models for ash fall impacts on electrical infrastructure. Our method is illustrated by an example from the Taranaki region of New Zealand. Radiocarbon dates, expressed as years before present (B.P.), are used to define an age-depth model, classifying eruption ages (with associated errors) for a circa 1500–10 500 year B.P. record at Mt. Taranaki (New Zealand). In addition, data describing the youngest 1500 years of eruption activity is obtained from directly dated proximal deposits. Absence of trend and apparent independence in eruption intervals is consistent with a renewal model using a mix of Weibulls distributions, which was used to generate probabilistic forecasts of eruption recurrence. After establishing that interval length and tephra thickness were independent in the record, a thickness–volume relationship (from [Rhoades, D.A., Dowrick, D.J., Wilson, C.J.N., 2002. Volcanic hazard in New Zealand: Scaling and attenuation relations for tephra fall deposits from Taupo volcano. Nat. Hazards, 26:147–174]) was inverted to provide a frequency–volume relationship for eruptions. Monte Carlo simulation of the thickness–volume relationship was then used to produce probable ash fall thicknesses at any chosen site. Several critical electrical infrastructure sites in the Taranaki Region were analysed. This region, being the only gas and condensate-producing area in New Zealand, is of national economic importance, with activities in and around the area depending on uninterrupted power supplies. Forecasts of critical ash thicknesses (1 mm wet and 2 mm dry) that may cause short-circuiting, surges or power shutdowns in substations show that the annual probabilities of serious impact are between ~ 0.5% and 27% over a 50 year period. It was also found that while large eruptions with high ash plumes tend to affect “expected” areas in relation to prevailing winds, the direction impacts of small ash falls are far less predictable. In the Taranaki case study, areas out of normal downwind directions, but close to the volcano, have probabilities of impact for critical thicknesses of 1–2 mm of around half to 60% of those in downwind directions and therefore should not be overlooked in hazard analysis. Through this method we are able to definitively show that the potential ash fall hazard to electrical infrastructure in this area is low in comparison to other natural threats, and provide a quantitative measure for use in risk analysis and budget prioritisation for hazard mitigation measures.     

Discriminating the long distance dispersal of fine ash from sustained columns or near ground ash clouds: The example of the Pomici di Avellino eruption (Somma-Vesuvius,Italy)

Ash samples from tephra layers correlated with the Pomici di Avellino (Avellino Pumice) eruption of Somma-Vesuvius were collected in distal archives and their composition and particle morphology investigated in order to infer their behaviour of transportation and deposition. Differences in composition and particle morphologies were recognised for ash particles belonging to the magmatic Plinian and final phreatomagmatic phases of the eruption. The ash particles were dispersed in opposite directions during the two different phases of the eruption, and these directions are also different from that of coarse-grained fallout deposits. In particular, ash generated during magmatic phase and injected in the atmosphere to form a sustained column shows a prevailing SE dispersion, while ash particles generated during the final phreatomagmatic phase and carried by pyroclastic density currents show a general NW dispersion. These opposite dispersions indicate an ash dispersal influenced by both high and low atmosphere dynamics. In particular, the magmatic ash dispersal was first driven by stratospheric wind towards NE and then the falling particles encountered a variable wind field during their settling, which produced the observed preferential SE dispersal. The wind field encountered by the rising ash clouds that accompanied the pyroclastic density currents of the final phreatomagmatic phase was different with respect to that encountered by the magmatic ash, and produced a NW dispersal. These data demonstrate how ash transportation and deposition are greatly influenced by both high and low atmosphere dynamics. In particular, fine-grained particles transported in ash clouds of small-scale pyroclastic density currents may be dispersed over distances and cover areas comparable with those injected into the stratosphere by Plinian, sustained columns. This is a point not completely addressed by present day mitigation plans in case of renewal of activity at Somma-Vesuvius, and can yield important information also for other volcanoes potentially characterised by explosive activity.     

Simulation of the 1980 eruption of Mount St. Helens using the ash-tracking model PUFF

The dispersal of volcanic ash from the May 18, 1980 eruption of Mount St. Helens (MSH) has been simulated using the Lagrangian ash-tracking model PUFF. Previous applications of the model were limited to smaller, short-lived eruptions with ash dispersal occurring mainly within the troposphere. Two high-resolution atmospheric reanalysis datasets (ERA-40 and NCEP/NCAR-40) allowed MSH ash cloud dispersal to be simulated up to 30 km elevation. The 1980 eruption was divided into two distinct eruptive phases, (1) an initial, relatively short-lived blast/surge phase that injected ash up to 30 km and (2) a subsequent nine-hour plinian phase that maintained an average eruption column height of 16 km. Using PUFF, the two phases of the MSH eruption were modeled separately based on a range of individual input parameters and then combined to produce an integrated simulation of the entire eruption. The trajectory and areal extent of the modeled atmospheric ash cloud best match the actual distribution of MSH ash when input parameters are set to values inferred from satellite and radar data collected on May 18, 1980. The prevailing wind field exerts the strongest control on the advection and ultimate position of the modeled ash cloud, making the maximum column height and the vertical distribution of ash the most sensitive of the PUFF input parameters for this event. The results indicate that the PUFF model works well at simulating the dispersal of ash injected well into the lower stratosphere from a moderate, relatively long-lived eruption, such as MSH. However, attempts to use PUFF to recreate some granulometric aspects of the MSH fallout deposit, such as the maximum particle size as a function of distance from source, were not successful. PUFF consistently predicts much greater fallout distances for small ash particles (< 500 µm) than actually observed in the MSH deposit. The effective settling velocities used by the PUFF model appear to be too slow to accurately predict fallout distances of small ash particles. As a consequence the PUFF model may overestimate the duration of ash loading in the atmosphere associated with the distal fine ash component of explosive eruptions.     

涠洲岛火山活动空降碎屑的数值模拟

本文应用美国国家气象局提供的1958—1997年全球大气精确的轨道参数和涠洲岛地区风速和风向等数据资料,模拟了火山喷发时空降碎屑的分布情况。结果表明,涠洲岛地区火山喷发形成的空降碎屑分布与喷发时的风速与风向有关,NNW方向的风可使空降碎屑影响到海南省北部地区,SSW方向风可使空降碎屑影响广西东南部和广东西南部的广大地区,1月和7月份喷发时主要影响涠洲岛及周边海域。     

初始中主应力系数对中密粉煤灰动模量阻尼比影响的试验研究

利用土工静力-动力液压三轴-扭转多功能剪切仪,开展了在三向非均等固结状态下的饱和中密粉煤灰循环扭剪试验。着重探讨了初始中主应力系数对饱和中密粉煤灰的动模量和阻尼比特性的影响。试验结果表明：初始中主应力系数对粉煤灰动剪切模量有一定的影响,对阻尼比没有影响。根据仪器量测系统的特点,采用了大小位移计联合测量角位移的方法,不仅能够提高测试精度,而且能够获得完整的动模量和阻尼比随动剪应变幅值的变化过程。