基于可见光谱的古代壁画颜料无损鉴别方法

矿物颜料是古代壁画显色的物质基础,其可见光谱反映自身物质和物理属性。不同颜料对可见光吸收特性的差异导致光谱曲线形状不同,同一种颜料因粒径等级差异引起光谱曲线幅值的规律性变化。依据矿物颜料上述特性,提出一种基于可见光谱的古代壁画颜料无损鉴别方法,通过光谱归一化方法实现不同粒径等级的同一颜料光谱曲线叠合,去除颜料粒径等级对光谱曲线幅值变化的影响,然后提取表征光谱曲线在各波段增减性和凹凸性的一阶与二阶导数特征,与光谱曲线组合得到颜料物质属性鉴别的光谱组合特征空间,以光谱角和欧式距离为基础构建评价指标,计算待鉴别颜料与数据库参考样本在光谱特征空间中的匹配误差(ME),实现颜料物质属性的鉴别。通过构建矿物颜料平均粒径大小和光谱反射率均值之间关系函数,实现颜料平均粒径大小的鉴别。基于构建的古代壁画常用颜料光谱数据库,以莫高窟壁画为对象,通过非接触式原位无损测量方法测量获得壁画颜料的可见光谱数据,对本文方法进行了验证,并以石绿和青金石颜料的鉴别结果为例,对古代壁画颜料使用技法、不同朝代颜料使用的差异性及原因进行了探讨。该方法将为更加全面深入研究和保护古代壁画提供有效的理论与方法支撑。     

高精度虹膜识别光学镜头的研制

针对虹膜识别系统中难于获取高分辨率的虹膜图像问题,设计一款高精度虹膜图像采集摄像镜头。镜头焦距14.2 mm, 畸变小于0.15%,像方数值孔径为0.26,像面直径为5.35 mm,工作距离130 mm,物像共轭距为150 mm。光学系统可获得高分辨率图像,在0.7视场光学传递函数MTF在120 lp/mm时大于30%。镜头由4片球面透镜构成,结构简单,适合产业化生产,各项光学指标检测结果达到设计要求。     

窗口可变滑动相关分析方法在激光诱导击穿光谱谱线自动识别中的应用

激光诱导击穿光谱(LIBS)谱线具有很窄的展宽,且光谱仪因外界温度条件的变化存在波长漂移,光谱数据为离散数字信号,受噪声、谱线重叠及连续背景的影响,信号存在失真和变形。而目前光谱仪自带谱线识别分析软件主要以"就近原则"为主,错误率较高,必须依赖于人眼的观察对比。针对这个问题,在研究LIBS光谱特性的基础上,提出了一种窗口可变滑动相关分析方法(CAASW),用于激光诱导击穿光谱谱线自动识别。以土壤标准物质为样品,对该方法进行了实验分析和评价,与光谱仪自带分析识别软件相比,CAASW明显提高了识别准确率和识别速度,最终实现了谱线的自动识别。     

Evolution of past enamel technology and metal conservation issues: the case of two Byzantine style bindings

The results of a Raman spectroscopic study of the cloisonne’ and basse‐taille enamels, which beautify two Byzantine style bindings from the Marciana Library (Venice), namely the Lat. III,111 and the MsGR.I.53 codexes, are presented in this work. The first binding dates back to the 13th century and was subject to an early restoration work in the 14th century, when new enamels substituted four originals. The second binding, from the 15th century, shows a lower number of enamels, all originals, and with a larger color palette. The white and yellow enamels of both codexes were successfully characterized and the red ones, where hematite was not used. Interestingly the white and yellow color of the 13th century enamels of the Lat. III,111 codex has been obtained by an ancient technique of the glass technology, which was already obsolete in the 13th century, and is based on the use of calcium antimonate and Naples yellow. The white color in the other binding's enamels have been instead obtained by using cassiterite, according to the tradition of the time. Cassiterite was also mixed to Naples yellow in the enamels of the MsGR.I.53 codex, to change the yellow hue. The identification of agents determining some colors is instead uncertain or not feasible by Raman spectroscopy. The transparency of the 14th century enamels of the Lat. III,111 codex has allowed the comparison of metal degradation below the enamels and in regions exposed to the atmosphere. Copyright © 2012 John Wiley & Sons, Ltd.     

阻抗障碍物声散射的反问题

研究了从声散射场的远场分布的信息来再现声阻抗障碍物形状的反问题,建立了求解这类反问题的一种非线性最优化模型,并提出了数值实现该非线性最优化模型的一种两步调整迭代算法.两步过程的应用使在确定未知障碍物形状的非线性最优化步中未知函数的个数达到了最少,而在调整迭代过程中,通过利用前一迭代步所得重构信息,使重构精度得到了相当大的改进.所建立的反演算法的一个特别吸引人的性质是,只需要远场分布的一个Fourier系数即可对未知声阻抗障碍物作几何物形的设别.对大量具有各种几何形状的二维障碍物的数值算例保证了本算法是实用和有效的.     

Variation of radon concentrations in soil and groundwater and its correlation with radon exhalation rate from soil in Budhakedar, Garhwal Himalaya

Radon was measured in soil-gas and groundwater in the Budhakedar area of Tehri Garhwal, India in summer and winter to obtain the seasonal variation and its correlation with radon exhalation rate. The environmental surface gamma dose rate was also measured in the same area. The radon exhalation rate in the soil sample collected from different geological unit of Budhakedar area was measured using plastic track detector (LR-115 type II) technique. The variation in the radon concentration in soil-gas was found to vary from 1098 to 31,776 Bq.m⁻³ with an average of 7456 Bq.m⁻³ in summer season and 3501 to 42883 Bq.m⁻³ with an average of 17148 Bq.m⁻³ in winter season. In groundwater, it was found to vary from 8 to 3047 Bq.l⁻¹ with an average value 510 Bq.l⁻¹ in summer and 26 to 2311 Bq.l⁻¹ with an average value 433 Bq.L⁻¹ in winter. Surface gamma dose rate in the study area varied from 32.4 to 83.6 μR.h⁻¹ with an overall mean of 58.7 μ-R.h⁻¹ in summer and 34.6 to 79.3 μR.h⁻¹ with an average value 58.2 μR.h⁻¹ in winter. Radon exhalation rate from collected soil samples was found to vary from 0.1 × 10⁻⁵ to 5.7 × 10⁻⁵ Bq.kg⁻¹.h⁻¹ with an average of 1.5 × 10⁻⁵ Bq.kg⁻¹.h⁻¹ in summer season and 1.7 × 10⁻⁵ to 9.6 × 10⁻⁵ Bq.kg⁻¹.h⁻¹ with an average of 5.5 × 10⁻⁵ Bq.kg⁻¹.h⁻¹. A weak negative correlation was observed between radon exhalation rate from soil and radon concentration in the soil. Radon exhalation rate from the soil was also not found to be correlated with the gamma dose rate, while it shows a positive correlation with radon concentration in water in summer season. Inter-correlations among various parameters are discussed in detail.      

可迁移的土壤重金属污染高光谱定性分类方法研究

现有基于高光谱遥感的土壤重金属污染定性分类模型,大多采用同一地区室内光谱测定训练样本数据进行模型构建与测试。但室内光谱测定需要复杂的处理过程,成本高,效率低,且无法快速获得目标区域空间上连续的光谱信息。考虑到实际应用需求,模型在相同实验区和不同试验区野外光谱数据是否具有较好的迁移推广能力是目前迫切需要回答的问题。为回答这一问题,选取湖南省郴州市和衡阳市两铅锌矿区作为实验研究区,选用支持向量机（SVM）作为分类器,将郴州实验区室内采样的83个样本数据和衡阳实验区室内采样的46个样本数据分别用于分类器训练,将衡阳地区野外采样的46个样本数据用于分类测试。并首先通过基于联合分布适配（JDA）的迁移学习方法进行光谱变换以缩小两地室内外测定光谱分布差异,然后进行不同区域室内外土壤重金属污染定性分类模型迁移。实验结果表明：（1）由于野外测得的光谱数据会受到太阳辐射、提取的土壤成分差异等因素的干扰导致室内外光谱数据存在显著的分布差异,难以直接将基于室内采样数据训练得到的土壤重金属污染定性分类模型迁移到同一地区测定的野外高光谱数据上。但通过JDA变换缩小室内外分布差异后,模型迁移能力得到显著提升,砷（As）、铅（Pb）和锌（Zn）三种重金属含量是否超标的分类精度都达到了84%以上,Zn元素含量是否超标的分类精度甚至达到了89%以上。（2）由于季节性影响、地区成分的干扰和光谱噪声的增加,不同地区光谱数据存在着更为显著的分布差异,加大了不同地区土壤重金属污染监测的难度,难以将基于室内采样光谱数据所建立的土壤重金属定性分类模型直接迁移到其他地区野外采样数据上（平均分类精度仅在50%左右）。经过JDA迁移学习方法进行室内外光谱变换处理后,模型迁移能力得到保证,因此,室外光谱采样可直接用于研究不同试验区域重金属（As,Pb和Zn）的污染情况。     

Phytoremediation of Lead in Soil: Recent Applications and Future Prospects

Abstract

Lead is a very serious contaminant in soil because of its widespread previous application in residential, agricultural, and industrial environments combined with its severe impacts upon human health, particularly upon children. Phytoremediation is a nontraditional approach to remediate contaminated soil involving the use of green plants. Phytostabilization involves the use of plants to stabilize contaminants to reduce human exposure. Phytoextraction involves the use of plants to accumulate contaminants in aboveground shoots, which can be harvested to recycle or discard. Recent phytomediation work has indicated the importance of determining the chemical forms of lead present at a site to develop the most appropriate remediation strategy. Lead phytoextraction typically involves the addition of a chelating agent in order to increase the bioavailability of this contaminant. Because concerns have been raised regarding the persistence of chelating agents in the environment, several research teams have investigated the use biodegradable compounds for this application. It is anticipated that phytoremediation will continue to be a low-cost approach for the remediation of lead in soil.     

Analysis of polycyclic aromatic hydrocarbons extracted from air particulate matter using a temperature programmable injector coupled to GC–C–IRMS†

Compound specific isotopic analysis (CSIA) can provide information about the origin of analysed compounds – in this case, polycyclic aromatic hydrocarbons (PAHs). In the study, PAHs were extracted from three dust samples: winter and summer filter dust and tunnel dust. The measurement was performed using the method validated in our laboratory using pure, solid compounds and EPA 610 reference assortment.

CSIA required an appropriate clean-up method to avoid an unresolved complex in the gas chromatographic analysis usually found in the chromatography of PAHs. Extensive sample clean-up for this particular matrix was found to be necessary to obtain good gas chromatography–combustion–isotope ratio mass spectrometry analysis results. The sample purification method included two steps in which the sample is cleaned up and the aliphatic and aromatic hydrocarbons are separated.

The concentration of PAHs in the measured samples was low; so a large volume injection technique (100 μl) was applied. The δ_VPDB ¹³C was measured with a final uncertainty smaller than 1 ‰. Comparison of the δ_VPDB ¹³C signatures of PAHs extracted from different dust samples was feasible with this method and, doing so, significant differences were observed.