Automated Extraction of a Five‐Year LA‐ICP‐MS Trace Element Data Set of Ten Common Glass and Carbonate Reference Materials: Long‐Term Data Quality,Optimisation and Laser Cell Homogeneity

LA‐ICP‐MS is increasingly applied to obtain quantitative multi‐element data with minimal sample preparation, usually achieved by calibration using reference materials (RMs). However, some ubiquitous RMs, for example the NIST SRM 61× series glasses, suffer from reported value uncertainties for certain elements. Moreover, no long‐term data set of analyses conducted over a range of ablation and tuning conditions exists. Thus, there has been little rigorous examination of the extent to which offsets between measured and reported values are the result of error in these values rather than analytically induced fractionation. We present new software (‘LA‐MINE’), capable of extracting LA‐ICP‐MS data with no user input, and apply this to our system, yielding over 5 years of data (~ 5700 analyses of ten glass and carbonate RMs). We examine the relative importance of systematic analytical bias and possible error in reported values through a mass‐specific breakdown of fourteen of the most commonly determined elements. Furthermore, these data, obtained under a wide range of different ablation conditions, enable specific recommendations of how data quality may be improved, for example the role of diatomic gas, the effect of differential inter‐glass fractionation factors and choice of transport tubing material. Finally, these data demonstrate that the two‐volume Laurin ablation cell is characterised by no discernible spatial heterogeneity in measured trace element ratios.     

Effect of the Dry Ashing Method on Cadmium Isotope Measurements in Soil and Plant Samples

A dry ashing method is commonly used to remove organic material from samples prior to geochemical analysis. In the course of this study, the Cd isotope ratios of a series of soil and plant reference materials and samples were studied to evaluate the effect of the dry ashing method on measurement results of Cd isotope ratios. The samples were pre‐treated using the dry ashing method and high‐pressure bomb for comparison. The results show that the digestion using high‐pressure bombs did not lead to Cd loss, but using the dry ashing method would cause different proportions of Cd loss. The whole range of Cd isotope difference between two methods was from ?0.07‰ to 3.01‰. There was also an obvious difference in measured Cd isotope ratios from the same leaf sample pre‐treated independently by the dry ashing method, indicating that the amount of Cd loss and the effect on Cd isotope measurement during dry ashing is related to the properties of the samples. Therefore, dry ashing may not be appropriate for the removal of organic material in Cd isotope ratio measurement, especially for samples with high organic contents. The δ^114/110Cd values of reference materials NIST SRM 1573a and GSD‐30 are reported for the first time in this study.     

基于相干特征的岩石薄片序列图像边缘提取及颗粒分割

针对岩石颗粒边缘模糊、结构复杂的特点,为了更有效地识别颗粒边缘,在基于特征值的C3相干算法的基础上,融合多尺度和多角度的特征表达,提出了一种改进的C3相干算法。该算法综合考虑岩石薄片图像角度域光学特征、空间尺度信息和各向异性信息,能更有效地表征颗粒边缘特征,表现出对复杂矿物结构的适应能力。在采集的岩石薄片正交偏光图像上验证提出的算法,实验结果表明,与原生C3相干算法相比,改进后的C3相干算法在全局图像上的方差和灰度差分乘积分别提升了68.41%和22.91%,信息熵下降了21.61%。     

Landslide susceptibility zonation method based on C5.0 decision tree and K-means cluster algorithms to improve the efficiency of risk management

Machine learning algorithms are an important measure with which to perform landslide susceptibility assessments,but most studies use GIS-based classification methods to conduct susceptibility zonation.This study presents a machine learning approach based on the C5.0 decision tree(DT)model and the K-means cluster algorithm to produce a regional landslide susceptibility map.Yanchang County,a typical landslide-prone area located in northwestern China,was taken as the area of interest to introduce the proposed application procedure.A landslide inventory containing 82 landslides was prepared and subse-quently randomly partitioned into two subsets:training data(70％landslide pixels)and validation data(30％landslide pixels).Fourteen landslide influencing factors were considered in the input dataset and were used to calculate the landslide occurrence probability based on the C5.0 decision tree model.Susceptibility zonation was implemented according to the cut-off values calculated by the K-means clus-ter algorithm.The validation results of the model performance analysis showed that the AUC(area under the receiver operating characteristic(ROC)curve)of the proposed model was the highest,reaching 0.88,compared with traditional models(support vector machine(SVM)=0.85,Bayesian network(BN)=0.81,frequency ratio(FR)=0.75,weight of evidence(WOE)=0.76).The landslide frequency ratio and fre-quency density of the high susceptibility zones were 6.76/km2 and 0.88/km2,respectively,which were much higher than those of the low susceptibility zones.The top 20％interval of landslide occurrence probability contained 89％of the historical landslides but only accounted for 10.3％of the total area.Our results indicate that the distribution of high susceptibility zones was more focused without contain-ing more"stable"pixels.Therefore,the obtained susceptibility map is suitable for application to landslide risk management practices.     

济阳坳陷奥陶系碳酸盐岩及缝洞充填方解石C、O同位素特征及其意义

对济阳坳陷奥陶系碳酸盐原岩及孔洞缝中充填方解石进行了C、O同位素测定,结果表明孔洞缝充填方解石的δ¹³C和δ¹⁸O值比原岩偏负。奥陶系三山子组和马家沟组孔缝中充填的方解石C、O同位素演化有很大区别,前者的δ¹³C和δ¹⁸O值均为负值,δ¹³C向较高负值偏移,δ¹⁸O值向较低负值偏移;马家沟组八陡段孔缝充填方解石的δ¹³C和δ¹⁸O值也多为负值,δ¹³C向较正值方向偏移,δ¹⁸O值向较高负值偏移。奥陶系碳酸盐岩孔缝充填方解石形成于大气淡水环境和埋藏成岩环境,次生孔洞可能主要形成于早期表生阶段,裂缝形成于中-新生代的构造运动,方解石主要充填于埋藏环境中。次生孔缝的主要形成时期早于油气大量运移期,对古潜山油藏的形成有利。     

中国海洋生态效率时空格局演变及影响要素分析

随着海洋环境问题的日益凸显,海洋经济与海洋生态保护如何协调发展已成为学术界的研究热点。本文使用C2NLS方法对2003-2016年中国沿海11个省区市海洋生态效率进行测度,使用SDE方法对海洋生态效率的时空演进特征进行分析,最后对影响海洋生态效率的因素进行实证探索。结果表明：(1)海洋生态效率整体呈上升趋势,但地区差距并未显著缩小,海洋生态效率的地区分布出现极化趋势。(2)海洋生态效率重心表现出西南向移动特征,东北-西南向的空间格局更加明显。(3)环境规制、海洋科技和对外开放可以有效提高海洋生态效率水平;产业结构效应不显著,可能是由于高污染行业同时具有高产出与高排放的特征导致;区位因素效应不显著,海洋生态效率与地区发展水平之间没有明显的二次型关系,与中国海洋经济整体发展仍处于“倒U”型曲线的上升通道情况相符,部分印证了“环境的库兹涅茨”曲线理论。     

2020年新疆于田Ms6.4地震前热红外亮温异常研究

获取了2020年4-7月新疆于田Ms6.4地震区周边约400 km范围内连续的中国气象卫星FY-2G遥感热红外资料,选取北京时间凌晨1:00～5:00时的分钟值数据,经过小波变换和功率谱估计法进行处理,得到研究区地震前后相对功率谱异常演化过程,对比分析了 2019年相同频率同期的相对功率谱幅值,并讨论了异常时间演化过程...     

2021年3月19日西藏比如MS 6.1地震总结

2021年3月19日西藏比如MS 6.1地震发生在班戈—安多地区的安多盆地南缘断裂附近,震源机制解反演结果显示,本次地震为近东西走向断层产生正断兼走滑型错动的结果,与区域构造特征一致;截止至4月15日,地震序列跟踪发现,主震与余震震级差为1.4,主震释放能量占序列的98.96％,表明6.1级主震释放了此次地震序列的绝大...     

2022年1月8日门源6.9级地震山东地震台网测定面波震级对比分析

通过对山东地震台网记录的2022年1月8日门源M_S 6.9地震原始波形进行分析,测算出88个测震台站的M_S、M_S7、M₍S(BB))等3种面波震级,并与中国地震台网速报和青海区域地震台网编目测定结果进行对比分析。结果表明：①山东地震台网测定门源M_S 6.9地震的面波震级M_S、M_S7、M₍S(BB))分别为7.20、7.16、6.96;②M₍S(BB))震级的测定方法简单,不同台站之间的偏差较小,一致性较好,适合在地震台网的地震速报中使用。这与震级国家标准GB 17740—2017的规定相一致。     

楚科奇海表层沉积物的生源组分及其对碳埋藏的指示意义

工业革命以来大气中CO₂浓度由280 ppm剧增至375 ppm,是导致全球气候变暖的主要原因[1]。海洋作为大气CO₂的“汇”之一,每年可吸收人类释放CO₂气体总量的30%,对全球碳循环的收支平衡有重要作用[2]。两极地区是CO₂的主要汇区,也是全球变化的重要反馈窗口。因此,了解碳在北冰洋的生物地球化学循环过程是十分必要的[3-4]。海洋中的生源沉积物主要来自于海洋上层浮游生物碎屑的沉降,主要由蛋白石(以生物硅代替,BSi)、碳酸钙(CaCO₃)和有机质(通常用有机碳替代,TOC)组成[5]。