Source apportionment and ozone formation potential of volatile organic compounds in Lagos (Nigeria)

Concentrations of volatile organic compounds (VOCs) of the city air in Oba Akran road, Lagos were investigated. The chlorinated VOCs and xylene in Oba Akran were high. The average benzene/toluene ratio in Oba Akran was 1.7 suggesting that vehicular emission was a possible VOC source in most areas of Oba Akran. The toluene/(m+p-xylene) ratio also suggests a common source of toluene and xylene at these sites, presumably organic solvent used by industries located at Oba Akran. Our results showed that 7.10 tons of CO ₂ equivalents of VOCs are being emitted per year from Oba Akran. Xylenes were found to be the largest contributor to the ozone formation followed by trichloroethylene. A multivariate statistical analysis (Factor analysis extracted with Principal Component Analysis) has been applied to a set of data, and it was found that the main principal components, extracted from the air VOC pollution data, were related to gasoline and oil combustion/industrial activities.     

豫北典型农田作物中重金属污染状况及健康风险评价

农产品污染引发的食品安全问题目前已经成为全社会关注的焦点,为了研究和评价农作物中重金属污染和健康风险状况,采集了焦作市武陟县玉米、水稻和花生三种大田作物样品,共计47个样品,其中玉米样品16个,花生样品4个,水稻样品27个。在测定作物籽粒中重金属Cr、Ni、As、Cd和Pb含量的基础上,分别采用单因子污染指数和综合污染指数法评价了作物籽粒中重金属的污染状况,并运用危险商（HQ）法评价了这些作物中的重金属对人体健康可能造成的风险,进而应用相关分析法、聚类分析法及主成分分析法,探讨了作物籽粒中重金属含量的分布特征及其污染来源。结果表明：武陟县农田作物籽粒中的Cr、Ni、As、Cd和Pb的平均含量分别为0.26±0.42、0.31±0.29、0.04±0.03、0.01±0.04和0.03±0.03 mg·kg^-1。其中,玉米籽粒中的Cr、Ni、As、Cd和Pb的平均含量分别为8.86×10^-2±0.21、9.41×10^-2±0.12、8.10×10^-3±5.29×10^-3、1.20×10^-5±4.92×10^-5和0.04±0.02 mg·kg^-1;水稻籽粒中的Cr、Ni、As、Cd和Pb的平均含量分别为0.38±0.49、0.44±0.31、0.07±0.02、4.60×10^-3±7.42×10^-3和0.03±0.03 mg·kg^-1;花生籽粒中的Cr、Ni、As、Cd和Pb的平均含量分别为0.13±0.22、0.32±0.16、0.02±3.05×10^-3、0.11±0.07和1.32×10^-2±1.70×10^-2 mg·kg^-1。农作物籽粒中各重金属元素的单因子污染指数评价结果显示,从总体上看,3种农作物籽粒中5种重金属的单因子污染指数均值均小于1,单因子污染指数均值大小顺序为：Ni＞As＞Cr＞Pb＞Cd;从作物类型来看,玉米和水稻中Ni超标的样品比率分别为6.67%和51.85%,水稻中Cr超标的样品比率为12%。农作物籽粒中各重金属元素的综合污染指数评价结果显示,重金属的平均综合污染指数为0.59,整体上处于安全等级。总体来看,14.89%的农作物受到不同程度的污染,其中轻度污染的农?     

Indicating landfill stabilization state by using leachate property from Laogang Refuse Landfill

Variation and evolution process of leachate can be applied as a reference for landfill stabilization phase. In this work, leachates with different ages were collected from Laogang Refuse Landfill, and characterized with 14 key parameters. Simultaneously, principal component analysis （PCA） was applied to develop a synthetic parameter-F based on these 14 parameters, and a logarithm equation was simulated for the landfill stabilization process finally. It was predicted that leachates would meet Class I and Class II in standard for pollution control on the landfill site of municipal solid waste （GB 16889-1997） after 32 years and 22 years disposal under the natural attenuation in the humid and warm southern areas of China, respectively. The predication of landfill state would be more accurate and useful according to the synthetic parameter F of leachate from a working landfill.     

A new fault detection method for non-Gaussian process based on robust independent component analysis

Conventional fault detection method based on fast independent component analysis (FastICA) is sensitive to outliers in the modeling data and thus may perform poorly under the adverse effects of outliers. To solve such problem, a new fault detection method for non-Gaussian process based on robust independent component analysis (RobustICA) is proposed in this paper. A RobustICA algorithm which can effectively reduce the effects of outliers is firstly developed to estimate the mixing matrix and extract non-Gaussian feature called independent components (ICs) by robust whitening and robust determination of the maximum non-Gaussian directions. Furthermore, a monitoring statistic for each extracted IC is constructed to detect process faults. Simulations on a simple example of the mixing matrix estimation and a fault detection example in the continuous stirred tank reactor system demonstrate that the RobustICA achieves much higher estimation accuracy for the mixing matrix and the ICs than the commonly used FastICA algorithm, and the RobustICA-based fault detection method outperforms the conventional FastICA-based fault detection method in terms of the fault detection time and fault detection rate.     

Characterization of airborne particulate matter in Thessaloniki,Greece

A receptor modeling approach has been applied to identify and apportion sources of airborne particulate matter in Thessaloniki, Greece. The absolute principal component analysis source apportionment technique used, provided quantitative information regarding both source particle characteristics and impacts. The analysis identified four major sources of heavy metals within total suspended particles (TSP) in the centre of the city: oil burning, pyrometallurgical non‐ferrous metal processes, motor vehicles and soil resuspension. Their contributions to TSP estimated by regression on absolute principal component scores (APCS) were 12%, 8%, 5% and 4%, respectively. A similar analysis conducted for a sampling site close to the industrial area identified five major sources: oil burning, industrial Cr source, soil resuspension, pyrometallurgical non‐ferrous metal processes and motor vehicles with contributions 20%, 15%, 9%, 8% and 4%, respectively.     

北京市西三环地区大气颗粒物中多环芳烃的分布特性

于2012年3—12月在北京市西三环地区按粒径分6级采集大气颗粒物样品,采用气相色谱-质谱(GC-MS)对颗粒物样品中16种优控PAHs(多环芳烃)进行分析. 结果表明:颗粒物中ρ(∑₁₆PAHs)(PAHs的总质量浓度)季节变化显著,表现为冬季>春季>秋季>夏季,并且与ρ(PM)(PM为颗粒物)呈良好线性相关;不同粒径颗粒物中ρ(PAHs)呈向小粒子富集的趋势,PM_2.1中ρ(PAHs)约占ρ_sum(∑₁₆PAHs)〔6级颗粒物中ρ(∑₁₆PAHs)总和〕的64%~87%;除夏季3环PAHs占优势外,其他季节均以4~ 5环PAHs占优势;同时,随着粒径的减小,PAHs有向高环数富集的趋势. 运用主成分分析和多元线性回归法进行源解析发现,机动车尾气排放和燃煤是本地区大气颗粒物中PAHs的主要来源;不同粒径颗粒物中的PAHs来源有差异,2.1~10.2μm粒径段颗粒物中PAHs主要来源于机动车尾气排放,贡献率为63.0%;而1.3~2.1μm和<1.3μm的颗粒物中PAHs均主要来源于燃煤,贡献率分别为56.8%和58.7%.      

中国沿海区域旅游化与生态环境耦合度分析及预测

中国沿海区域旅游产业发展主要以海洋资源和环境为依托,故处理好旅游产业发展与生态环境的关系是中国沿海旅游产业实现可持续发展的基础和前提。区域旅游化程度可以反映区域旅游产业发展水平,为探求中国沿海区域旅游产业发展与生态环境之间关系的态势和规律,首先,在构建中国沿海区域旅游化程度和生态环境质量水平的指标体系的基础上,以2000—2010年沿海11省(区)统计数据为基础,运用加权主成分TOPSIS法分别对两个系统进行综合评价;其次,基于物理学中的耦合模型,对中国沿海区域旅游化程度和生态环境质量的耦合度及其协调指数进行计算,并分析它们时空格局及其演变特征;最后,基于灰色系统理论,运用GM(1,1)预测模型对中国沿海区域未来15 a中国沿海区域旅游化水平与生态环境耦合度进行预测。研究结果发现:中国沿海区域旅游产业与生态环境两个系统在2000—2010年间一直处于拮抗期,但山东省、浙江省、江苏省和广西省将在2015年前先后由低水平的拮抗期跨入良性耦合阶段,而其他省(区)将处于并将长期处于拮抗期,且天津市、辽宁省和海南省两个系统的耦合度有下降趋势。     

主成分分析和GIS技术在沈阳大气环境时空特征研究中的应用

在广泛收集整理相关资料和数据基础上,运用主成分分析法和GIS SuperMap技术对沈阳市2002—2010年大气污染物SO2、NO2、PM10年均值和8个环境监测站点2002—2010年的SO2、NO2、PM10年均值进行分析,结果表明:在时间变化方面,大气主要污染物的年均值在逐年下降,大气质量在近9年间逐渐转好,2007—2009年污染指数的月平均值变化曲线清晰呈现出两头高中间低的"U"字型变化趋势;在空间变化方面,从市中区到近郊区再到远郊区有逐渐减弱的趋势,市中心的太原街、小河沿的环境质量逐年转好,但市郊区的环境质量在逐年下降。     

嘉陵江重庆段DOM三维荧光光谱的平行因子分析

应用平行因子分析法对2010年6月嘉陵江重庆段水体13个取样点DOM(溶解性有机质)的三维荧光光谱进行指纹识别.结果表明,嘉陵江重庆段水体可识别出4类5个荧光组分,包括类富里酸荧光组分C1(250、320 nm/400 nm)和C4(230、340nm/450 nm)、类腐殖酸荧光组分C2(260、360 nm/450 nm)、浮游生物产生的荧光组分C3(260 nm/380 nm)和类蛋白物质荧光组分C5(280 nm/330 nm).它们的贡献率依次为类富里酸18%～38%,类腐殖酸11%～18%,浮游植物8%～22%,类蛋白物质33%～49%.嘉陵江重庆段水体的有机物污染主要以来自工业、生活污水和其他人为活动产生的陆源污染输入为主,其次是浮游植物和水体微生物代谢产生的污染.13个取样点的总荧光强度在空间分布上由西到东呈"升高—降低—升高—降低"的趋势.      

带式输送机传动滚筒材料结构损伤检测方法的研究

滚筒的损坏会导致皮带倾斜,严重时会导致皮带撕裂,准确检测滚筒的损伤程度能够避免事故发生,并能够提高经济效益。选择带式输送机的滚筒材料作为研究对象,模拟滚筒所处的温度变化环境,对不同损坏程度的滚筒材料进行环境模拟并测试,通过传感器采集频率响应信号,通过主成分分析、异常值分析和微量组分分析方法,只改变温度数据滚筒材料马氏平方距离值相对平缓,控制在0.06×104,真正损坏的马氏平方距离值远远大于临界值,成功去除温度变化对材料频率响应信号的影响,最终找到了能够准确检测滚筒材料的损伤程度的方法。