Detection of organic pollutants in sandy soils via TDR and eigendecomposition

In this study, organic pollutants in sandy soils are detected using a time domain relectrometry (TDR) probe system and eigendecomposition technique. As a demonstration, four types of organic fluids (motor oil, diesel oil, methanol and ethanol) were examined. Samples were prepared with different combinations of deionized water and organic fluid contents. For each experiment, reflected signals were captured by an oscilloscope, and their characteristics were identified using eigendecomposition technique. Autoregressive modeling and singular value decomposition methods were utilized for calculating the eigenvalues. The most significant eigenvalues were then identified based on their relative magnitude. Experimental results indicated that the presented system is sensitive to both water and pore fluid organic contents. For saturated conditions, signature curves were determined for identification of organic and/or water contents in soil pore fluids.     

农药残留速测技术研究进展

本文综述了国内外农药快速检测技术的研究状况。在速测技术中 ,色 -质联用分析法已发展得比较成熟 ,所得结果比较可靠 ,但该法的测定时间仍较长 ;免疫分析法具有简单、快速、价廉、特异性高、需样品量少等优点 ;生物传感器法更方便、快捷。     

Parental phenols exposure and spontaneous abortion in Chinese population residing in the middle and lower reaches of the Yangtze River

Widespread use of phenols has led to ubiquitous exposure to phenols. In experimental animals, phenols increased resorptions, reduced live litter size and fetal body weights. However, there are limited epidemiological evidences of the relationships between exposure to phenols and pregnancy outcomes. We evaluated the associations between parental urinary levels of various phenols and spontaneous abortion in a Chinese population residing in the middle and lower reaches of the Yangtze River. A case-control study was conducted that included 70 case couples with medically unexplained spontaneous abortion and 180 control couples who did not have a history of spontaneous abortion and had at least one living child. Both parental urinary phenols were measured by ultra-high performance liquid chromatography-tandem mass spectrometry including bisphenol A (BPA), benzophenone-3 (BP-3), 2,3,4-trichlorophenol (2,3,4-TCP), pentachlorophenol (PCP), 4-n-octylphenol (4-n-OP) and 4-n-nonylphenol (4-n-NP). Compared with the low exposure group, there was an increased risk of spontaneous abortion with high paternal urinary PCP concentration [odds ratio (OR) = 2.09, 95% Confidence Interval (CI), 1.05–4.14], and maternal exposure to 4-n-OP and alkylphenol(s) also significantly increased the risk of spontaneous abortion (OR = 2.21, 95% CI, 1.02–4.80; OR = 2.81, 95% CI, 1.39–5.65, respectively). Our study firstly provides the evidence that paternal PCP exposure, maternal 4-n-OP and alkylphenol(s) exposure are associated with spontaneous abortion in humans.     

加油站油气回收系统VOCs泄漏FID现场检测方法及效果分析

油气回收系统密闭点VOCs泄漏质量分数值是衡量加油站是否存在超标排放的重要指标。为提高加油站VOCs泄漏检测的时效性、代表性与准确性,采用FID现场检测方法对郑州市某加油站油气回收系统进行了检测,全方位对比分析了实验室气相色谱法与现场检测法的检测时效性、准确性,提出了密闭区域检测及质量保证和控制建议,并根据实际检测数据分析了易泄漏点。结果表明：采用FID现场检测方法对油气回收系统密闭点进行检测,能使检测成本降低90%,检测效率提高 15 倍;在现场检测前完成仪器的校准、响应时间的测定与精密度的验证工作,可使VOCs最大质量分数偏差维持在5%以下,这进一步验证了FID现场检测方法测量的准确度;油气回收系统泄漏点的确定及现场检测流程和步骤的优化,可有效提高检测数据的代表性;检测设备的定期校准,可确保FID示值相对误差在±10％范围内,响应时间不超过30 s,从而为检测质量控制提供保障;为确保泄漏点完好,结合实际检测工作,应采用液位仪自动计量技术,加强设备的维护保养并设置加油枪气液比为1.05～1.15。综上所述,在保证FID的准确性与稳定性的前提下,采用FID现场检测方法对油气回收系统VOCs泄漏质量分数进行检测具有时效性强、准确度高、数据代表性强等优势。本研究结果可为加油站采用FID现场检测油气回收系统VOCs泄漏的质量分数提供参考。     

Development and application of LC–APCI–MS method for biomonitoring of animal and human exposure to imidacloprid

Imidacloprid (IMI) is a relatively new neuro-active neonicotinoid insecticide and nowadays one of the largest selling insecticides worldwide. In the present study a LC–APCI–MS based method was developed and validated for the quantification of imidacloprid and its main metabolite 6-chloronicotinic acid (6-CINA) in urine and hair specimens. The method was tested in biomonitoring of intentionally exposed animals and subsequently applied for biomonitoring of Cretan urban and rural population.     

差分吸收光谱法(DOAS)与紫外荧光法自动测量空气中SO2的对比

DOAS自动监测系统越来越广泛用于环境空气质量监测中SO2、NO2的监测,将差分吸收光谱法与紫外荧光法自动测量空气中SO2进行对比实验,并对监测结果进行讨论和统计检验,得出两种方法测定空气中的SO2,其监测结果具有较好的相关性、一致性、两者无显著性差异,在今后的监测工作中可用DOAS自动监测系统代替传统的干法点式自动监测系统监测SO2,以降低运行成本,减少仪器维护量,节约经费。     

基于改进YOLOv5s算法的隧道初期火灾检测模型

为提升公路隧道初期火灾的检出率与检测精度,考虑初期烟火特征量小且不易侦测的特点,提出一种基于改进YOLOv5s算法的公路隧道初期火灾检测模型。首先,在YOLOv5s特征检测层并入变压器预测头,在原有3个特征检测头的基础上新增第4个160×160尺度的特征检测头,以增强多尺度识别能力;同时,引入加权双向特征金字塔网络(BiFPN)结构,用于融合高低层火焰和烟雾的语义信息;然后,采用完全交并比(CIoU)替换距离交并比(DIoU),并在置信度损失中采用Focal Loss改进YOLOv5s的损失函数,从而提升新模型整体的训练效果和检测精确度;最后,在真实隧道内开展初期火灾模拟试验,获取50 000幅训练集样本,并结合2022年3月1日江苏镇江观音山隧道真实火灾视频数据,对比分析YOLOv5s-Opt和YOLOv5s算法模型。结果表明:YOLOv5s-Opt对初期火灾的平均检测精度达到90.38%,比YOLOv5s提高2.06%;对于同一段火灾实测视频,YOLOv5s-Opt的检出率比YOLOv5s高出3.63%。YOLOv5s-Opt算法模型更擅长初期火灾小目标的检测和识别,在检测精度和检出率方面更具有优势,检测效果明显,满足实际火灾检测需要。     

中国西部本底大气中CO的连续测量

在中国西北部的瓦里关全球基准站(36°17'N,100°54'E,3810m asl)建立了气相色谱-汞置换法大气CO连续测量系统.组装调试和运行标定表明,色谱方法的基线稳定,分离度高,检测方法可靠,系统具有高自动化的操作性能和严格的质量控制,其设计完全符合世界气象组织(WMO)全球大气本底测量的要求.根据采样现场大气CO浓度的变化,采用经国际比对的CO标准气系列,用峰高外标法设定可调整的标准工作曲线计算环境CO浓度,系统对CO的检测限低至1×10^-9(V/V),检测精度小于0.1%,准确度在±0.05%以内,可提供我国本底地区近地层大气CO连续而精确的现场测量结果.     

基于图像处理的轮轴探伤系统对铁路安全的控制研究

为加强图像识别处理技术与铁路装备造修设备技术融合、提高铁路安全控制水平,首先指出控制机车车辆轮轴的造修安全是关键,保障操作者职业健康也是安全工作的重要目的;然后着重研究基于图像处理技术的轮轴磁粉探伤系统的工作机制,对比分析现场试验数据与历史数据。结果表明:基于图像处理的轮轴探伤系统不仅可以提升装备质量、有效控制铁路运行安全,而且缩短操作者在职业健康安全风险源中的接触时间,有效保护操作者职业健康。     

Estimating dyad association probability under imperfect and heterogeneous detection

In animal behaviour studies, association indices estimate the proportion of time two individuals (i.e. a dyad) spend in association. In terms of dyads, all association indices can be interpreted as estimators of the probability that a dyad is associated. However, traditional indices rely on the assumptions that the probability to detect a particular individual (p) is either approximately one and/or homogeneous between associated and not associated individuals. Based on marked individuals we develop a likelihood based model to estimate the probability a dyad is associated (ψ) accounting for p < 1 and possibly varying between associated and not associated individuals. The proposed likelihood based model allows for both individual and dyadic missing observations. In addition, the model can easily be extended to incorporate covariate information for modeling p and ψ. A simulation study showed that the likelihood based model approach yield reasonably unbiased estimates, even for low and heterogeneous individual detection probabilities, while, in contrast, traditional indices showed moderate to strong biases. The application of the proposed approach is illustrated using a real data set collected from a population of Commerson's dolphin (Cephalorhynchus commersonii) in Patagonia Argentina. Finally, we discuss possible extensions of the proposed model and its applicability in animal behaviour and ecological studies.