基于SIFT与SVM的应急救援图像检测方法研究*

针对公共安全突发事件应急救援的封闭空间场景（Confined Space Scene,CSS）信息采集不通畅、不全面而影响救援等问题,提出1种基于不变特征转换（Scale invariant feature transform,SIFT）和支持向量机（Support Vector Machine,SVM）的图像信息异常检测方法。在场景内外信息传递“断环”情况下,该方法可利用物联网技术采集的图片,或以网络图片信息、历史类似场景数据等作为补充,通过SIFT特征提取、K means聚类处理以及SVM分类,实现场景的智能识别。经仿真分析,该方法能实现封闭空间内外部图像信息互通,“接补”因无法了解事件内部情况而产生的救援环节链条的“断环”,为救援提供决策参考。     

Multi-group approximation, scattering and calibration coefficients, uncertainty estimates and detection limits of a NaI(Tl)-based gamma spectrometry set-up for low-level activity analysis

This paper describes a quantitative radioactivity analysis method especially suitable for environmental samples with low-level activity. The method, consisting of a multi-group approximation based on total absorption and Compton spectra of gamma rays, is coherently formalized and a computer algorithm thereof designed to analyze low-level activity NaI(Tl) gamma ray spectra of environmental samples. Milk powder from 1988 was used as the example case. Included is a special analysis on the uncertainty estimation. Gamma sensitiveness is defined and numerically evaluated. The results reproduced the calibration data well, attesting to the reliability of the method. The special analysis shows that the uncertainty of the assessed activity is tied to that of the calibration activity data. More than 77% of measured 1461-keV photons of ⁴⁰K were counted in the range of clearly lower energies. Pile-up of single line photons (¹³⁷Cs) looks negligible compared to that of a two-line cascade (¹³⁴Cs). The detection limit varies with radionuclide and spectrum region and is related to the gamma sensitiveness of the detection system. The best detection limit always lies in a spectrum region holding a line of the radionuclide and the highest sensitiveness. The most radioactive milk powder sample showed a activity concentration of 21 ± 1 Bq g⁻¹for ¹³⁷Cs, 323 ± 13 Bq g⁻¹ for ⁴⁰K and no ¹³⁴Cs.     

鱼粉行业恶臭污染物产生与成分分析探讨

针对目前鱼粉行业废气污染严重、排放量大、成分复杂的特性和测定难度较大、监测准确度较低等实际情况,采用实际监测数据,利用傅立叶红外光谱分析仪,有针对性地对鱼粉生产过程中及采取治理措施后恶臭污染物的排放进行了现场连续监测,得到了全面的监测数据。     

基于指标规范值的室内空气客观评价的概率神经网络模型

为了建立简单、普适、通用的概率神经网络的室内空气评价模型,在适当设定室内空气各项指标的参照值及指标值的规范变换式基础上,使室内空气同级标准不同指标的规范值差异尽可能小,从而用规范值表示的各指标都可用同一个规范指标"等效"替代。因此,概率神经网络隐层各类模式的基函数中心矢量的各指标分量值与同级标准所有15项指标规范值的均值等同。将基于指标规范值的概率神经网络模型用于室内空气的评价实例进行检验,验证了该模型的普适性、通用性和简便性。     

NDIR法便携烟气SO2分析仪技术性能及现场应用比较

针对目前中国固定污染源烟气SO2低浓度排放的现状,结合环境监测工作的技术需求,选取目前在国内应用较多的3种非分散红外吸收法便携烟气SO2分析仪(1种进口仪器,2种国产仪器)进行技术性能指标和现场比对监测的测试研究。测试结果表明,国产NDIR法便携烟气SO2分析仪的基本性能指标已经逐步接近国外同类仪器设备的技术水平,在产品结构和扩展功能等方面更适应中国国情需求;但是在产品外观结构的合理性、使用的便捷舒适性以及产品性能质量的稳定性等方面还需要进一步完善。因此,为推动国产便携烟气SO2分析仪技术水平和能力的进一步提升,有关仪器设备的技术标准、应用技术规范等相关法规应尽快制定实施。     

基于Landsat-8数据和劈窗算法的地表温度反演及城市热岛效应研究

陆地表面温度(Land Surface Temperature,LST)是地表能量平衡组分中的一个重要参数。随着卫星遥感技术的快速发展,遥感反演成为获取区域LST的一个重要手段。目前已有学者提出多种基于遥感数据反演LST的算法,其中劈窗算法被证明是一种精度较高的算法。基于Landsat-8卫星30 m空间分辨率的陆地成像仪(OLI)数据和100 m分辨率的热红外传感器(TIRS)数据,采用劈窗算法计算了无锡地区的LST,并采用地面实测水温数据和同步的MODIS温度产品对Landsat-8的计算结果进行了验证和对比分析。结果表明:基于Landsat-8数据和劈窗算法获取的LST精度较高,误差1K。在计算的LST结果基础上,进一步提取了热场变异指数来分析城市热岛空间分布特征,给出了城市热岛效应的定量化描述,并就不同地表覆盖类型对热岛效应的影响进行了分析。     

波长色散-X射线荧光光谱法测定PM2.5中23种元素

研究以单元素标准膜为基础,结合NIST SRM 2783颗粒物滤膜标准样品,建立了波长色散-X射线荧光光谱法测定PM_2.5中23种无机元素的测定方法,优化了测试条件,测量一个样品耗时约15 min,计算了各元素的方法检出限。对NIST SRM 2783滤膜标准品在一周内重复测定10次来计算方法的准确度与精密度,测定结果显示大多数元素的测量值在给出的参考值范围内,且测量标准偏差一般在10%以内。对比了石英与聚四氟乙烯材质（Teflon）滤膜的空白值,石英滤膜中Si、Fe、Na、Mg、Al、K、Ca等元素的背景值较高,Teflon滤膜的背景值较低,推荐选用Teflon滤膜作为PM_2.5组分分析采样滤膜。分别用波长色散-X射线荧光光谱法及酸消解-ICP-MS法测定了样品膜中的元素组分,得到的测定结果基本一致。     

表面增强拉曼光谱技术检测高氯酸根离子

高氯酸根离子是水质污染物中常见的污染源之一.通过化学还原法制备稳定、分散性好的纳米银溶胶颗粒(粒径为30～40 nm),并以此为基底,探究了利用表面增强拉曼光谱技术迅速准确地检测质量浓度为10-6～10-1 g/L的高氯酸根离子溶液的表面增强拉曼光谱.结果表明,当高氯酸根离子质量浓度为10-5～10-1 g/L时,随着高氯酸根离子浓度的降低,表面增强拉曼光谱强度逐渐减弱.     

生态文明建设与再生资源产业

党的十八大将生态文明建设提升到五位一体总体布局的战略高度,要求把生态文明建设放在突出地位,融入经济建设、政治建设、文化建设、社会建设各方面和全过程。从人类文明转型的高度,分析了推进生态文明建设的历史必然性,探寻了再生资源产业与生态文明建设间的内在联系,剖析了再生资源产业的典型特征,并对生态文明建设与再生资源产业的未来发展进行了展望.     

High-molecular weight sulfur-containing aromatics refractory to weathering as determined by Fourier transform ion cyclotron resonance mass spectrometry

Biomarkers and low-molecular weight polyaromatic compounds have been extensively studied for their fate in the environment. They are used for oil spill source identification and monitoring of weathering and degradation processes. However, in some cases, the absence or presence of very low concentration of such components restricts the access of information to spill source. Here we followed the resistance of high-molecular weight sulfur-containing aromatics to the simulated weathering condition of North Sea crude oil by ultra high-resolution Fourier transform ion cyclotron resonance mass spectrometry. The sulfur aromatics in North Sea crude having double bond equivalents (DBE) from 6 to 14 with a mass range 188-674 Da were less influenced even after 6 months artificial weathering. Moreover, the ratio of dibenzothiophenes (DBE 9)/naphthenodibenzothiophenes (DBE 10) was 1.30 and 1.36 in crude oil and 6 months weathered sample, respectively reflecting its weathering stability. It also showed some differences within other oils. Hence, this ratio can be used as a marker of the studied crude and accordingly may be applied for spilled oil source identification in such instances where the light components have already been lost due to environmental influences.