继承性宇生核素对暴露测年结果影响的定量分析方法探讨

宇生核素暴露测年过程中,通常假设在样品最后一次暴露前,样品中的宇生核素（继承性宇生核素）浓度为0。然而,大量的测年数据研究发现,样品的暴露年代结果会受到继承性核素的影响从而高估地貌的真实年代。因此,如何降低继承性核素对暴露年代结果的影响或者定量分析继承性核素的影响程度不仅可为地貌演化提供准确的年代数据,而且对宇生核素暴露测年技术的研究具有重要意义。因此,本文以宇生核素暴露测年技术在冰川地貌中应用为例,通过分析继承性核素的研究概况,并结合宇生核素暴露测年原理,探讨继承性核素对测年结果影响的定量分析方法。研究结果表明： ① 通过样品中 n ( 26 Al)/ n ( 10 Be) 值\[即同一样品中宇生核素Al 26 与Be 10 浓度（单位为atom/g）的比值\]以及同一地貌位置多个的样品年代数据分布情况可初步判断测年结果是否受到继承性核素的影响;② 通过现代冰川冰碛物中宇生核素的浓度可以定量分析继承性核素对暴露测年结果的影响; ③ 通过计算冰碛垄顶部和一定深度（＞2~3 m）样品的宇生核素浓度差,可以减少继承性核素的影响。本研究内容对冰川地貌宇生核素暴露测年具有重要意义。     

FeSO4对铬污染土的稳定特性及风险评价试验研究

采用硫酸亚铁（FeSO4）对铬污染土进行稳定化处理。选用浸出试验、Cr(VI)残留值试验和形态提取试验,研究了粒径和有机质对铬污染土稳定特性的影响规律。试验结果表明,粒径和有机质对铬污染土稳定特性有较大影响。粒径的减小可显著降低稳定土中Cr(VI)和总Cr的浸出浓度及稳定土中Cr(VI)的含量;当污染土粒径小于2 mm时,Fe(II)/Cr(VI)摩尔比为3,稳定土中Cr(VI)和总Cr的浸出浓度分别为4.68、8.9 mg/L,均低于我国《危险废弃物鉴别标准 浸出毒性鉴别》（GB/T5085.3－2007）的限值。有机质添加量的增加可明显降低稳定土中Cr(VI)和总Cr的浸出浓度及Cr(VI)的含量。当Fe(II)/Cr(VI)摩尔比为3时,有机质的添加量为5%,稳定土中Cr(VI)的含量为28.3 mg/kg,低于我国《土壤环境质量标准》（GB15618－2008）中工业和商业用地限值（30 mg/kg）;当有机质的添加量为10%时,稳定土中Cr(VI)的含量为4.8 mg/kg,低于居住用地限值（5 mg/kg）。形态提取试验结果表明：粒径的减小可降低弱酸提取态的铬含量,增加可还原态的铬含量,而对可氧化态和残渣态的铬含量影响不大;有机质可促使弱酸提取态、可还原态的铬转化为可氧化态的铬,而残渣态的铬变化不大。稳定土中铬从活性态向较稳定态转化,是铬稳定土稳定特性和环境风险变化的根本原因。     

某废弃煤矿有机污染场地地下水修复治理中试研究

某废弃煤矿竖井经倾倒有机废液,导致环境污染事件,造成巷道及采空区内地下水污染。本文结合场地实际情况,选取倾倒竖井(事故井)及周边区域为中试区域,采用“抽出处理+原位氧化循环”两阶段联合修复技术对污染场地开展中试研究。本文介绍了场地污染概况、地下水修复中试方案设计和实施,以及对修复效果进行评价。结果表明,中试处理后地下水中COD和二氯甲烷最高去除率分别为97.88%和99.74%。中试试验表明, “抽出处理+原位氧化循环”两阶段修复技术,对处理矿区内巷道及采空区等复杂地层结构下深层地下水中有机污染物具有较好的去除效果,可以结合现场实际情形对整个污染场区进行规模应用。     

Evaluation of a simple,inexpensive, in situ sampler for measuring time‐weighted average concentrations of suspended sediment in rivers and streams

The accurate measurement of suspended sediment (<200 μm) in aquatic environments is essential to understand and effectively manage changes to sediment, nutrient, and contaminant concentrations on both temporal and spatial scales. Commonly used sampling techniques for suspended sediment either lack the ability to accurately measure sediment concentration (e.g., passive sediment samplers) or are too expensive to deploy in sufficient number to provide landscape‐scale information (e.g., automated discrete samplers). Here, we evaluate a time‐integrated suspended sediment sampling technique, the pumped active suspended sediment (PASS) sampler, which collects a sample that can be used for the accurate measurement of time‐weighted average (TWA) suspended sediment concentration and sediment particle size distribution. The sampler was evaluated against an established passive time‐integrated suspended sediment sampling technique (i.e., Phillips sampler) and the standard discrete sampling method (i.e., manual discrete sampling). The PASS sampler collected a sample representative of TWA suspended sediment concentration and particle size distribution of a control sediment under laboratory conditions. Field application of the PASS sampler showed that it collected a representative TWA suspended sediment concentration and particle size distribution during high flow events in an urban stream. The particle size distribution of sediment collected by the PASS and Phillips samplers were comparable and the TWA suspended sediment concentration of the samples collected using the PASS and discrete sampling techniques agreed well, differing by only 4% and 6% for two different high flow events. We should note that the current configuration of the PASS sampler does not provide a flow‐weighted measurement and, therefore, is not suitable for the determination of sediment loads. The PASS sampler is a simple, inexpensive, and robust in situ sampling technique for the accurate measurement of TWA suspended sediment concentration and particle size distribution.     

Inference of in situ stress from thermoporoelastic borehole breakouts based on artificial neural network

The determination of in situ stresses is very important in petroleum engineering. Hydraulic fracturing is a widely accepted technique for the determination of in situ stresses nowadays. Unfortunately, the hydraulic fracturing test is time-consuming and expensive. Taking advantage of the shape of borehole breakouts measured from widely available caliper and image logs to determine in situ stress in petroleum engineering is highly attractive. By finite element modeling of borehole breakouts considering thermoporoelasticity, the authors simulate the process of borehole breakouts in terms of initiation, development, and stabilization under Mogi-Coulomb criterion and end up with the shape of borehole breakouts. Artificial neural network provides such a tool to establish the relationship between in situ stress and shape of borehole breakouts, which can be used to determine in situ stress based on different shape of borehole breakouts by inverse analysis. In this paper, two steps are taken to determine in situ stress by inverse analysis. First, sets of finite element modeling provide sets of data on in situ stress and borehole breakout measures considering the influence of drilling fluid temperature and pore pressure, which will be used to train an artificial neural network that can eventually represent the relationship between the in situ stress and borehole breakout measures. Second, for a given measure of borehole breakouts in a certain drilling fluid temperature, the trained artificial neural network will be used to predict the corresponding in situ stress. Results of numerical experiments show that the inverse analysis based on finite element modeling of borehole breakouts and artificial neural network is a promising method to determine in situ stress.     

Response of Spartina alterniflora Vegetation to Oiling and Burning of Applied Oil

A field study evaluated Spartina alterniflora sensitivity to oiling and to in situ burning of applied crude oil. Experimental plots (2.4 m × 2.4 m × 0.6 m) were constructed in the salt marsh for control, oiling (natural clean-up) and oiling/burning treatments. South Louisiana Crude was applied to oiling and oiling/burning treatment plots at 2 l m⁻² and the burn conducted. S. alterniflora responses (height, live stem density, carbon fixation and biomass) were measured for 50 weeks after the August burn. Oiling and oiling/burning had short-term detrimental effects on the salt marsh. One year after the late summer burn, S. alterniflora responses measured in the oiled and oiled/burned plots were not significantly different compared to control values. Results suggest that, under our experimental conditions, intervention may not be required for marsh recovery. However, if spill conditions require a rapid response to control contaminant spread or protect other sensitive resources, burning may be a clean-up operation to consider.     

粉煤灰中污染离子淋释试验及其运移模型

通过对不同介质条件下粉煤灰中污染离子的淋释实验,得出一些离子淋释规律,在此基础上,对粉煤灰中淋释污染离子在地下水中的浓度变化从理论上给出两种数学模型      

小型氰化厂的技术管理

本文简述了小型氰化厂的技术管理方法和实际操作过程,应用该方法提高选矿厂的生产技术指标和经济效益。     

北京周口店雾迷山组碳酸盐岩风暴沉积序列研究*

北京周口店地区中元古界雾迷山组以含硅质条带的白云岩为主,发育不规则硅质砾屑。这些硅质砾屑形态各异,具有强烈扰动的迹象,目前对其成因解释一直存在争议,如泄水构造、冲刷构造、震积岩、风暴岩等。文中选择北京周口店地区黄山店村恒顺厂剖面为研究对象,通过野外精细的沉积学分析,系统描述了岩性及沉积构造特征,确定了该套沉积地层发育典型的碳酸盐岩风暴沉积序列。该风暴沉积序列自下往上可分为5段: A段,为风暴前正常沉积的中厚层状泥晶白云岩;B段,具口袋构造的侵蚀冲刷面及硅质砾屑,为风暴高潮期产物;C段,灰色硅质条带白云岩,普遍发育平行层理和波状、丘状、洼状交错层理,是风暴衰减期产物;D段,灰白色薄层状泥晶白云岩,代表了风暴间歇期的正常沉积;E段,含硅质团块白云岩,为正常天气下海水局部扰动形成。该剖面上递变层理几乎不发育,结合侵蚀冲刷面特征、砾屑高含量以及杂乱堆积方式,认为该套沉积为典型的近原地风暴沉积。结合古地理资料,推测研究区在雾迷山组沉积时期可能处于热带海洋环境,热带气旋引发的频繁风暴潮导致了近原地碳酸盐岩风暴沉积的形成。上述研究成果不仅补充了燕山地区雾迷山组的风暴沉积记录,而且为该时期华北板块的古地理、古纬度和古气候研究提供了重要的沉积学证据。