微波炉在重量法测定硫中的应用

采用玻璃砂芯坩埚过滤BaSO_4沉淀,微波炉代替马弗炉恒重坩埚、沉淀,重量法测定了矿石中的硫。方法准确,精密度好。微波炉不需预先升温,加热6min可达恒重,省时、省电。     

基于嫦娥二号微波辐射计数据月球中低纬度亮温异常区地质分析研究

月球表面的微波辐射亮度温度与月表地质结构和月表物质的物理化学特性相关。为了对月球亮温分布异常区域进行地质分析,文章首先计算嫦娥亮温数据的时角,采用克里金插值的方法得到了不同频率不同时刻中低纬度的微波亮温图。结合奇异值分解(SVD)模型分析了月表亮温变化异常,结果表明风暴洋位置和靠近月海东北部的高地区域等存在亮温变化异常,月海区域(除风暴洋外)为3 GHz和37 GHz两个场的总体相关区域。通过对月球火山分布地区的区域亮温变化进行分析,发现这热异常可能是由于月球火山活动造成的。     

微波消解-电感耦合等离子体质谱测定铜精矿中7种稀有金属元素

准确快速测定铜精矿中7种稀有金属元素（镓铟锗硒碲铊镧）的分布情况对于铜精矿的综合利用及减少技术性贸易壁垒等方面具有重要意义,因锗和铊等目标元素含量低至10^-7级,要求分析方法具有高灵敏度。本文应用微波消解-电感耦合等离子体质谱方法实现了7种稀有金属元素的快速准确测定。以盐酸-硝酸混合酸（体积比3：2）作为样品的微波消解试剂,选取合适的分析质量、调谐仪器及数学校正方程等三种方式消除质谱干扰。在优化的实验条件下,目标元素加标回收率为80.2%~123.3%,相对标准偏差小于13.4%。硒的检出限为1.3 mg/kg,另外6种目标元素的检出限均低于0.08 mg/kg。本法目标元素的检出限均低于电感耦合等离子体发射光谱或原子吸收光谱法测定相应元素的检出限。该方法降低了试剂空白,简化了操作流程,提高了分析灵敏度,实现了铜精矿目标元素的同时分析。     

Passive microwave remote sensing of the historic February 2010 snowstorms in the Middle Atlantic region of the USA

The snowfall in the Baltimore/Washington metropolitan area during the winter of 2009/2010 was unprecedented and caused serious snow‐related disruptions. In February 2010, snowfall totals approached 2 m, and because maximum temperatures were consistently below normal, snow remained on the ground the entire month. One of the biggest contributing factors to the unusually severe winter weather in 2009/2010, throughout much of the middle latitudes, was the Arctic Oscillation. Unusually high pressure at high latitudes and low pressure at middle latitudes forced a persistent exchange of mass from north to south. In this investigation, a concerted effort was made to link remotely sensed falling snow observations to remotely sensed snow cover and snowpack observations in the Baltimore/Washington area. Specifically, the Advanced Microwave Scanning Radiometer onboard the Aqua satellite was used to assess snow water equivalent, and the Advanced Microwave Sounding Unit‐B and Microwave Humidity Sounder were employed to detect falling snow. Advanced Microwave Scanning Radiometer passive microwave signatures in this study are related to both snow on the ground and surface ice layers. In regard to falling snow, signatures indicative of snowfall can be observed in high frequency brightness temperatures of Advanced Microwave Sounding Unit‐B and Microwave Humidity Sounder. Indeed, retrievals show an increase in snow water equivalent after the detection of falling snow. Yet, this work also shows that falling snow intensity and/or the presence of liquid water clouds impacts the ability to reliably detect snow water equivalent. Moreover, changes in the condition of the snowpack, especially in the surface features, negatively affect retrieval performance. Copyright © 2011. This article is a U.S. Government work and is in the public domain in the USA.     

Development of a rain‐on‐snow detection algorithm using passive microwave radiometry

Currently observed climate warming in the Arctic has numerous consequences. Of particular relevance, the precipitation regime is modified where mixed and liquid precipitation can occur during the winter season leading to rain‐on‐snow (ROS) events. This phenomenon is responsible for ice crust formation, which has a significant impact on ecosystems (such as biological, hydrological, ecological and physical processes). The spatially and temporally sporadic nature of ROS events makes the phenomenon difficult to monitor using meteorological observations. This paper focuses on the detection of ROS events using passive microwave (PMW) data from a modified brightness temperature (T_B) gradient approach at 19 and 37 GHz. The approach presented here was developed empirically for observed ROS events with coincident ground‐based PMW measurements in Sherbrooke, Quebec, Canada. It was then tested in Nunavik, Quebec, with the Advanced Microwave Scanning Radiometer for the Earth Observing System (AMSR‐E). We obtained a detection accuracy of 57, 71 and 89% for ROS detection for three AMSR‐E grid cells with a maximum error of 7% when considering all omissions and commissions with regard to the total number of AMSR‐E passes throughout the winter period. Copyright © 2016 John Wiley & Sons, Ltd.     

利用重力异常的小波模方法识别断层

利用小波特性可以提取航空重力异常的重要信息,笔者采用小波分析方法建立三维地质体模型,讨论了小波模与地质体边界的对应关系。以我国某海域航空重力资料为例,利用小波模极大值识别了断裂信息,并与航空布格重力异常及其方向导数识别的断裂进行对比分析。结果表明,利用小波模不仅可以识别断裂构造,在航空布格异常和方向导数识别模糊的地区效果更为明显。     

微波消解—冷原子荧光光谱法测定植物样品中的汞

为了简化测量植物中汞含量的方法,提高灵敏度及结果的可信度,实验采用微波消解植物样品的办法,使样品经氯化亚锡还原,再用冷原子荧光测定出植物样品中汞的含量。确定了消解样品的方法和微波消解样品的条件,优化了仪器的最佳工作参数。方法检出限0.30×10-9(稀释因子100倍),精密度(n=12)在2.09%~6.05%,加标回收率94.1%~105.5%,方法经生物国家一级标准物质验证方法准确可靠。     

数字发射在航空电磁仪中的应用

讨论了航空电磁仪工作原理、数字发射机以及数字发射多频的原理,介绍了数字发射在航空电磁仪的应用.航空电磁仪发射机由于采用了最新的数字发射技术,减少了系统的重量、使用更灵活、零漂更小、噪声水平更低,提高了电磁测量系统的技术指标和测量能力.     

氯化钯作基体改进剂石墨炉原子吸收光谱法测定土壤中的铍

铍是一种对人体有害的金属元素,土壤中铍的测定目前尚无国家标准方法.本文采用盐酸-硝酸-氢氟酸体系微波消解、石墨炉原子吸收光谱法测定土壤样品中的铍,实验了钯、硝酸铝、硝酸镁、钙盐的增敏效果.结果表明,以氯化钯为基体改进剂,灰化温度和原子化温度分别提高到1100℃和2650℃,原子化峰形尖锐,背景吸收很小,提高了测定灵敏度;其他三种基体改进剂虽然也能提高测定灵敏度,但背景吸收较大.采用优化的实验条件,Fe、Mg、K、Na、Ca、Ti、Cu、Ba、Mn、Zn、Pb、Sr等共存元素对测定不产生干扰.铍的浓度在0 ～4.00 μg/L范围内线性良好,方法检出限为0.01 μg/g,精密度(RSD,n=6)为3.5％ ～6.7％,实际土壤样品的加标回收率为84.0％ ～ 113.0％,土壤国家标准物质的测定值在标准值的误差范围内.本法与萃取光度法、电感耦合等离子体发射光谱/质谱法相比,操作简便,分析成本较低.     

Direct Current Plasma Emission Spectrometric Determination of Major, Minor and Trace Elements in Microwave Oven Acid Leachates of Powdered Whole Coal Samples

Major concentrations of Al₂O₃, Fe₂O₃, MgO, CaO, Na₂O and K₂O, minor levels of TiO₂, P₂O₅ and thirty petrologically, geochemically and environmentally significant trace elements have been determined in microwave oven acid leachates of whole powdered coal samples by direct current plasma‐atomic emission spectrometry (DCP‐AES). A single sample preparation procedure was suitable for all the determinations with no additional dilution step for major elements solution. Dried samples (0.5 g) were treated in low‐pressure PFA digestion vessels with HF/HCl/HNO₃/HClO₄ acids to quantitatively extract the analytes from the bulk material, while leaving the major part of organic matrix as a residue. The major constituents of geological samples, in particular the easily ionised elements (EIEs) such as alkali and alkaline earths, may complicate the instrumental determinations in DCP‐AES because of differential enhancements of elemental emission intensities and stray light interferences. Taking account of these factors, the coal matrix is considered to have very low major oxide totals as compared to many other common geo‐environmental and related materials (rocks, sediments, soil, ashes etc.). The sample size employed here, while yielding a relatively concentrated solution to cover a wide range of elemental determinations, provided a sample matrix that significantly diminished interferences for DCP measurements. The need for closely matching the unknowns and calibrators was eliminated except for overall acidity and an excess quantity of caesium for EIE buffering. Calibration of the spectrometer was accomplished by simple aqueous single element solutions as high concentration calibrators in addition to a reagent blank as a low concentration calibrator. Two point working curves were established to allow for the maximum concentrations of each element expected in the unknowns. The precision of determinations under routine conditions as well as the reproducibility of the leaching and precision of instrumental measurements have been evaluated. Relative standard deviations (RSD) were of 1–2% for those elements whose concentrations in solid samples were well above the limits of quantification. Method detection limits in the buffered solutions were also evaluated. To evaluate the accuracy of the microwave oven‐DCP method a suite of eight certified coal reference materials of differing rank, were analysed with good agreement with the certified and/or available published data. Results are presented for the uncertified major oxides in the AR series reference materials.