全二维气相色谱-电子捕获检测器测定复杂基质土壤中24种有机氯和拟除虫菊酯类农药     

时磊  孙艳艳  沈小明  吕爱娟  蔡小虎  刘娇  沈加林 《岩矿测试》2020,39(6):856-865

目前针对环境样品中有机氯和拟除虫菊酯类农药的检测方法主要有气相色谱法和气相色谱-质谱法（GC-MS），由于气相色谱法采用电子捕获检测器从而具有较高的灵敏度，在污染物的环境行为研究中得到广泛应用，GC-MS法的定性效果好，但检测灵敏度相对偏低。本文研究了2018年土壤详查江苏地区样品中有机氯农药和拟除虫菊酯的残留状况，结果显示，即使经过多次净化仍有20%的样品存在假阳性或基质干扰现象。为了提高定性准确度，同时保证检测灵敏度，实验建立了复杂基质土壤中20种有机氯农药和4种拟除虫菊酯的全二维气相色谱-电子捕获检测器检测方法，最终选择中等极性的TG-35MS为第一色谱柱，非极性的（DB-1）为第二色谱柱，将鲜样与无水硫酸钠混合均匀后，以正己烷-丙酮（1：1，V/V）为提取剂进行索氏提取，采用全二维气相色谱-电子捕获检测器进行检测，外标法定量。各物质的质量浓度均在1.0~500μg/L内与其峰面积呈线性关系，相关系数均大于0.995，检出限为0.02~0.17μg/kg。用标准加入法进行回收实验，测得回收率为80.7%~103.5%，测定值的相对标准偏差（n=6）为1.84%~10.12%。本方法将高灵敏度检测器与全二维色谱相结合，在保证检测灵敏度的同时增加了峰容量，有效去除了基质干扰。相比2018年土壤详查参考方法HJ 835—2017的检出限0.02~0.09mg/kg（全扫模式），本方法检出限显著降低，且操作简单，可为复杂基质样品中的痕量超痕量检测提供参考。  相似文献   

Deep neural network application for 4D seismic inversion to changes in pressure and saturation: Optimizing the use of synthetic training datasets     

Gustavo Côrte  Jesper Dramsch  Hamed Amini  Colin MacBeth 《Geophysical Prospecting》2020,68(7):2164-2185

In this work, we tackle the challenge of quantitative estimation of reservoir dynamic property variations during a period of production, directly from four-dimensional seismic data in the amplitude domain. We employ a deep neural network to invert four-dimensional seismic amplitude maps to the simultaneous changes in pressure, water and gas saturations. The method is applied to a real field data case, where, as is common in such applications, the data measured at the wells are insufficient for properly training deep neural networks, thus, the network is trained on synthetic data. Training on synthetic data offers much freedom in designing a training dataset, therefore, it is important to understand the impact of the data distribution on the inversion results. To define the best way to construct a synthetic training dataset, we perform a study on four different approaches to populating the training set making remarks on data sizes, network generality and the impact of physics-based constraints. Using the results of a reservoir simulation model to populate our training datasets, we demonstrate the benefits of restricting training samples to fluid flow consistent combinations in the dynamic reservoir property domain. With this the network learns the physical correlations present in the training set, incorporating this information into the inference process, which allows it to make inferences on properties to which the seismic data are most uncertain. Additionally, we demonstrate the importance of applying regularization techniques such as adding noise to the synthetic data for training and show a possibility of estimating uncertainties in the inversion results by training multiple networks.  相似文献   

Application of open tools and datasets to probabilistic modeling of road traffic disruptions due to earthquake damage     

Catarina Costa  Rui Figueiredo  Vitor Silva  Paolo Bazzurro 《地震工程与结构动力学》2020,49(12):1236-1255

The disruption of a transportation network can have a high social and economic impact on the welfare of a society, as it can significantly affect the daily routines of a community. Although many studies have focused on the estimation of physical risk in the components that compose these networks, only a limited number have analyzed their interconnections and impact in the traffic flow. The present study analyzes how earthquake damage can disrupt the road network in an urban environment, and how this will influence the ability of the population to travel. Traffic due to daily commutes is modeled for different layouts of the network, corresponding to possible disruptions caused by earthquake damage. The duration and length of each trip were calculated both for the undamaged network conditions and for the disrupted network. The increase in the median duration and length of each trip allows estimating the economic loss for each event due to drivers' delay. By combining the probability of a specific road being blocked with its number of users, the average number of affected vehicles was estimated, and the most critical segments identified. The methodology was applied to a case study concerning the road network of the area around the Italian city of Messina in Sicily. The results were calculated for both a repetition of the well-known historical event of 1908 and a set of simulated earthquakes consistent with the national probabilistic seismic hazard model of Italy.  相似文献   

Discussion of user-defined parameters for recursive subspace identification: Application to seismic response of building structures     

Shieh-Kung Huang  Jun-Da Chen  Kenneth J. Loh  Chin-Hsiung Loh 《地震工程与结构动力学》2020,49(15):1738-1757

Structural damage assessment under external loading, such as earthquake excitation, is an important issue in structural safety evaluation. In this regard, an appropriate data analysis and system identification technique is required to interpret the measured data and to identify the state of the structure. Generally, the recursive system identification algorithm is used. In this study, the recursive subspace identification (RSI) algorithm based on the matrix inversion lemma algorithm with oblique projection technique (RSI-Inversion-Oblique) is applied to investigate the time-varying dynamic characteristics. The user-defined parameters used in the RSI-Inversion-Oblique technique are carefully discussed, which include the size of the data Hankel matrix (i), model order to extract the physical modes, and forgetting factor (FF) to detect the time-varying system modal frequencies. Response data from the Northridge earthquake from the Sherman Oaks building (CSMIP) is used as an example to examine a systematic method to determine the suitable user-defined parameters in RSI. It is concluded that the number of rows in the data Hankel matrix significantly influences the identification of the time-varying fundamental modal frequency of the structure. An algorithmic model order selection method using the eigenvalue distribution of RSI-Inversion can detect the system modal frequencies at each appending data window without causing any abnormality.  相似文献   

连续弯箱梁自行车桥地震响应分析          下载免费PDF全文

施有志  林四新  阮建凑  林树枝 《地震工程学报》2020,42(5):1208-1216

为研究厦门市弯箱梁自行车桥的地震响应规律，采用SAP2000有限元软件建立自行车高架桥三维壳体模型，在考虑多遇地震和罕遇地震水准作用及不同加载方向的基础上，分别采用反应谱分析法和时程分析法进行该桥的动力响应分析。结果表明：自行车桥z方向位移分量最大，且z方向分量极值均发生在曲线分叉段；相对剪力而言，桥墩竖向支反力相对较小；E1和E2地震水准响应情况随时间的变化趋势基本一致，桥梁结构未进入塑形状态，抗震性能良好，安全性指标较高；反应谱法计算得到的响应包络值相对3条不同的地震时程结果的峰值大，在实际桥梁抗震分析过程中需要综合考虑两者的分析结果。文章研究结果对今后自行车桥设计和抗震性能分析具有指导意义，并可为研究者对该类桥的进一步研究提供借鉴。  相似文献   

德令哈13.7m望远镜多波束接收机的运行          下载免费PDF全文

李振强  张旭国  徐烨  左营喜  李积斌  孙继先  逯登荣  巨秉刚  张海龙  金风娟  罗春盛 《天文学报》2021,62(3):24

德令哈13.7 m望远镜是中国最重要的射电望远镜之一.望远镜自安装超导成像频谱仪以及采用飞行观测模式以来,运行近10 yr.在此期间,望远镜开展并完成大量的天文观测,累积了巨量的天文数据,取得了一系列重要的科研成果.介绍了超导成像频谱仪在天文观测中的运行状态,运行中疑难问题、故障现象及解决方案.详述了超导成像频谱仪各方面性能测试及多年来的性能分析,包含接收机噪声温度及望远镜系统噪声温度、镜像抑制比、接收机稳定性、波束性能等方面.列举了超导成像频谱仪更新发展方面的工作,包含本振功率自动化调整、边带分离型超导混频器预放大电路的更新、控制程序的优化等.总结经验和规律,承前启后,将过去的超导成像频谱仪的维护运行经验应用到之后新一代大规模接收机系统中.  相似文献   

基于PSR-WSVM模型的边坡位移预测     

李建新  刘小生  肖钢  周文  刘仁志 《大地测量与地球动力学》2020,40(6):577-580

为建立高精度的边坡位移预测模型，采用相空间重构（PSR）将边坡位移时间序列数据转换为多维数据，同时构造小波核函数改进的支持向量机模型，建立PSR-WSVM模型并应用于边坡位移预测。将PSR-WSVM模型预测结果与传统支持向量机（SVM）模型、小波支持向量机（WSVM）模型和基于相空间重构的支持向量机（PSR-SVM）模型预测结果进行对比，通过平均绝对误差（MAE）、平均绝对误差百分比（MAPE）和均方根误差（RMSE）3个精度评价指标验证PSR-WSVM模型的可行性。工程实例结果表明，PSR-WSVM模型预测结果的3个精度评价指标都优于另外3种模型，边坡位移预测的精度明显提升。  相似文献   

边带分离型超导SIS接收机本振耦合噪声研究          下载免费PDF全文

李振强  张旭国  李积斌  左营喜  徐烨  张海龙  金风娟 《天文学报》2020,61(2):18-84

超导SIS (Superconductor-Insulator-Superconductor)接收机因极低的接收机噪声温度成为毫米波和亚毫米波段射电天文观测的首选.本振系统耦合噪声也是接收机噪声的一部分,在多年的天文观测中,发现本振耦合噪声无法完全忽略,对天文观测的灵敏度有一定影响.采用两个不同种类的信号发生器作为本振系统初级信号源,测试了超导SIS接收机的噪声温度,发现信号发生器输出的基底噪声能够耦合到接收机内部,从而增加接收机噪声强度.分析研究了本振系统热噪声和信号发生器基底噪声对接收机噪声的影响.通过在信号发生器输入端加入窄带滤波器滤除其基底噪声,消除了信号发生器基底噪声引入的接收机噪声,降低了接收机的整体噪声,提高了望远镜的灵敏度.  相似文献   

龙泉山断裂带断层最新活动年代及方式     

刘亮  梁斌  燕中林  苏画  何学锋 《中国地质调查》2020,7(5):77-87

龙泉山断裂带属龙门山前陆隆起,与青藏高原龙门山的隆升演化密切相关。为探讨龙泉山断裂带断层活动方式、期次及年代特征,在该断裂带不同部位采集了断层泥样品,通过扫描电镜(SEM)对样品中的石英颗粒进行了痕迹微形貌和溶蚀微形貌观察,通过电子自旋共振(ESR)测试了样品断层的最新活动年龄,并结合区域地震资料,进一步研究了龙泉山断裂带断层的发震潜力。结果表明: 龙泉山断裂带断层运动方式以黏滑为主,兼蠕滑; 具有多期次活动特征,强烈活动时间为早更新世—中更新世,晚更新世也有明显断层活动,全新世断层活动不明显; SEM 、ESR、热释光(TL)测得的断层最新活动年龄为(1 210±121)~(110±10.0) ka; 最新活动年代和活动性具有分段性,中段断层活动性较弱,北段和南段断层活动性较强。总之,龙泉山断裂带为1条活动性断裂带,具有一定的发震潜力,地震沿断裂带呈带状分布,但相比其西侧的龙门山断裂带,其活动性已大大降低。  相似文献   

Decumbent development: Urban sprawl in the Guwahati Metropolitan Area,India     

Chandra Kant Pawe  Anup Saikia 《Singapore journal of tropical geography》2020,41(2):226-247

Urban sprawl has become a global phenomenon as an outcome of growing population and rapid urbanization. Previous studies have addressed the rising incidence of uncontrollable urban development, particularly in peri-urban areas of cities, leading to chronic urban sprawl. The city of Guwahati, a million city in north east India, has expanded significantly in recent years. In this article, the links between population and growth of built-up areas were examined using geo-spatial techniques and remotely sensed datasets. The results indicate that the sprawl has accentuated in recent years. The intensity of land use remained uneven due to marked variations in the distribution of built-up areas, plausibly an outcome of unplanned urban growth. If current trends are anything to go by, future urban sprawl could pose serious threats to the vulnerable eco-sensitive and peri-urban areas of Guwahati. Secondary cities have unfortunately received scant attention in urban policy research, and Guwahati, epitomizes urban woes in a developing country.  相似文献