The Effect of Grain Size and Element Concentration in Identifying Contaminant Sources

The distribution of metal contaminants between different size fractions of marine sediments is well known. However, the use of size normalization techniques may alter the ability or usefulness in identifying potential sources in complex environments. In a reassessment of metal data from the shelf area of Sydney, Australia, the mud and sand fractions were investigated separately by PCA and PLS methodologies. The analyses were able to produce clear distinctions between industrial/urban sources when based on a suite of metals rather than individual (single-element) concentrations. Signature analysis by PLS with copper, lead, zinc, manganese, chromium, cobalt, nickel, and cadmium demonstrated the dispersion of the fine-grained contaminated material to the south in the East Australian Current. However, due to the commonality between many of the metals, a subset of four metals was used to define the signature. This significantly improved separation, showing clear plumes extending ～30 km from the source rivers.     

梯度负荷下果蔬垃圾厌氧消化性能及微生物群落结构的研究

为优化果蔬垃圾厌氧消化工艺,提高厌氧消化性能,本文通过逐级提高CSTR反应器进料负荷,研究不同负荷下的厌氧消化性能及相应的微生物群落结构变化规律.结果表明,随着进料负荷的增高,容积产气率、甲烷产气量、氨氮、碱度、TCOD、SCOD均逐渐增高,在最高负荷(负荷以VS计)2.50g·L-·1d-1时分别达到最大值:1.22L·L-1d-1,5.10L·d-1,1563.86mg·L-1,7572.23mg·L-1,13283.26mg·L-1,2075.03mg·L-1,甲烷含量及VFA分别稳定在52.46%～54.59%和(879.30±18.69)mg·L-1;同时利用PCR-DGGE技术系统分析了厌氧消化中细菌与古细菌的群落结构,测序结果表明,整个过程中拟杆菌(Bacteroidetes)、甲烷鬃菌(Methanosaeta)及甲烷螺菌(Methanospirillum)为优势微生物,随着负荷的提高,甲烷鬃毛菌(Methanosaeta)活性逐渐降低;聚类分析及主成分分析表明,低负荷条件下(1.50g·L-·1d-1、1.75g·L-·1d-1),微生物种类(细菌、古细菌)差别不明显,且基本处于同一阶段.     

基于PMF-PCA/APCS与PERI的菏泽油用牡丹种植区表层土壤重金属潜在来源识别及生态风险评估

研究特色农产品产区土壤重金属来源及其潜在风险,对科学管理、安全利用土壤和作物资源具有重要意义.以菏泽油用牡丹种植区为研究对象,采集并测定了254件表层土壤样品As、Cd、Cr、Cu、Hg、Ni、Pb和Zn等8种重金属的含量.采用多元统计法分析了重金属的含量特征及相关性,利用地累积指数（I_geo）、正定矩阵因子分解法（PMF）和主成分分析/绝对主成分分数法（PCA/APCS）相结合的手段解析了表层土壤中重金属的来源,借助潜在生态风险指数（PERI）对该8种重金属的生态风险进行了评估.结果表明,土壤中除Cd元素的平均值高于菏泽市背景值1.44倍之外,其余7种重金属的平均含量均与菏泽市土壤元素背景值基本一致;经相关分析和聚类分析,土壤中Pb、Hg和Cd元素受后期人为活动的干扰影响较大;研究区8种重金属的来源为自然源、农业化肥源、工业燃煤源和生活交通源,贡献率分别为81.31%、15.45%、2.74%和0.50%;研究区84.25%的点位处于轻微生态风险,而中度风险和强风险点位占比分别为14.96%和0.79%,其中Cd和Hg是研究区生态风险主导元素.     

基于主成分分析法的危险货物运输企业安全评价

为更准确地评估危险货物运输企业安全等级以降低其运输风险,提出基于主成分分析法(PCA)的危险货物运输企业BP神经网络安全评价模型;在从人-机-物-环境-管理角度构建危险货物运输企业安全评价指标的基础上,分别利用该模型和其他3种模型对3家实例企业进行仿真评价和对比分析。结果表明,该模型的评价结果与期望值间的相对误差约为0.5%～1.2%,计算精度优于其他模型,且具有计算量小等特点。     

紫外大气甲醛卫星遥感反演方法和研究现状

在我国长期稳定的甲醛观测站点十分缺失,卫星平台高时频、大面积覆盖等优势使得通过卫星遥感探测大气甲醛成为了一种重要的研究手段.本文讨论了现有载荷的反演理论和方法,分析了我国大气甲醛的研究现状及不足.简述了从20世纪至今可用于甲醛探测的主要载荷：GOME/ERS-2,SCIAMACHY/ENVISAT,OMI/Aura,GOME-2/MetOp-A（B）,OMPS/Suomi-NPP,总结归纳了各个卫星载荷仪器的轨道信息、时间空间分辨率等相关参数,以及各个传感器在大气甲醛遥感反演中的可行性.由于卫星自上而下的观测方式与地基平台不同,其反演方法也有不同之处,因此本文针对卫星平台综合论述了两种甲醛反演算法：传统的差分吸收光谱法（DOAS）和针对于甲醛反演的一系列改进算法以及近几年提出的主成分分析法（PCA）;另外,本文针对现有反演算法和时空分布在我国中东部地区的研究现状和不足进行了综合讨论,并给出了一定的改进策略.     

北京北部水系沉积物中重金属的研究

主要研究了北京市北部水系沉积物中重金属(As、Hg、Cd、Cr、Cu、Mn、Ni、Pb、Ti和Zn)含量和来源.在潮白河及密云水库流域采集了17个沉积物样品,温榆河流域采集了5个样品,重金属含量As和Hg采用原子荧光光谱法测定,Cd、Cr、Cu、Mn、Ni、Pb、Ti和Zn含量用电感耦合等离子发射光谱法测定.研究结果表明,沉积物中重金属元素没有出现明显的富集状况,只有Hg、Cd、Cr和Zn在一些采样点有较高的富集.相关性分析表明Hg、Cd、Zn和Cu互相之间呈显著正相关(r0.06;p0.01),而Hg与Cr、Mn、Ni、Pb和Ti没有明显的相关性.通过主成分分析研究重金属的来源,发现前3个主成分贡献率分别为38%、23%和17%.因此,Hg、Cd、Zn和Cu作为第一主成分被认为与人类活动的工矿业开采有关,第二主成分As和Mn与人类活动的农业生产和生活污水排放有关,第三主成分Cr、Ni和Ti与岩石风化和土壤侵蚀有关.     

Identification and elucidation of anthropogenic source contribution in PM10 pollutant: Insight gain from dispersion and receptor models

Source apportionment study of PM₁₀ (Particulate Matter) in a critically polluted area of Jharia coalfield, India has been carried out using Dispersion model, Principle Component Analysis (PCA) and Chemical Mass Balance (CMB) techniques. Dispersion model Atmospheric Dispersion Model (AERMOD) was introduced to simplify the complexity of sources in Jharia coalfield. PCA and CMB analysis indicates that monitoring stations near the mining area were mainly affected by the emission from open coal mining and its associated activities such as coal transportation, loading and unloading of coal. Mine fire emission also contributed a considerable amount of particulate matters in monitoring stations. Locations in the city area were mostly affected by vehicular, Liquid Petroleum Gas (LPG) & Diesel Generator (DG) set emissions, residential, and commercial activities. The experimental data sampling and their analysis could aid understanding how dispersion based model technique along with receptor model based concept can be strategically used for quantitative analysis of Natural and Anthropogenic sources of PM₁₀.     

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.     

Continuous performance assessment and improvement of integrated HSE and maintenance systems by multivariate analysis in gas transmission units

In this study, an integrated “Health, Safety, and Environment (HSE)” and maintenance systems are presented. Multivariate analysis is used for continuous performance assessment and improvement of these systems. The two subjects of “Maintenance System” and “HSE” have been individually investigated several times in different studies. However, few studies have been done to integrate these two systems and provide an integrated system for their implementation. This study evaluates current maintenance and HSE systems of a Gas Transmission Unit by Data Envelopment Analysis (DEA) and Principal Component Analysis (PCA). Moreover, decision making units (DMUs) are examined and ranked. Employees are considered as DMUs. This is done through investigating and measuring their efficiencies and identifying the inefficient and less-efficient units. Since an increase in the number of inputs does not lead to an increase in the number of outputs with the same scale, an output-oriented DEA with a Variable Returns to Scale (VRS) is used. The Fuzzy DEA (FDEA) is also used in this research to decrease uncertainty existing in qualitative indicators and human error. Finally, suggestions are given to improve those DMUs. The managers and employees of the gas transmission unit constitute the statistical population of the study. To achieve the objectives of this study, standard questionnaires with respect to HSE and Maintenance system are completed by operators. The proposed approach would help policy makers and top managers of Gas Transmission Company to have a more comprehensive and thorough understanding the working conditions with respect to the maintenance and HSE features.     

Particulate and semivolatile associated aliphatic hydrocarbon exhaust emission from heavy duty diesel vehicles

The exhaust emissions from two heavy duty diesel vehicles running on eight different fuel compositions were investigated regarding their content of high molecular weight (≥ C₁₂) aliphatic/ olefinic hydrocarbons. It was concluded that the emitted amount of semi‐volatile associated aliphatic hydrocarbons (range C₁₂‐C₂₂) depend on the fuel used in the engines and that these emissions mainly consisted of uncombusted fuel components. It was also found that uncombusted engine lubrication oil was the main constituent of the emitted particulate associated aliphatic hydrocarbons (C₁₇‐C₄₀). These constituted between 58% and 95% of the total emissions of the high molecular weight aliphatic compounds. Emission factors for the total of high molecular aliphatic hydrocarbons (C₁₂‐C₄₀) were demonstrated to be in the range of 15–100 mg/km. Some individual aliphatic hydrocarbons with cocarcinogenic effects were identified and quantified in both particulate and semi‐volatile phases of the exhaust. Multivariate data analysis was used to investigate the relationship between fuel parameters and emission of semi‐volatile aliphatic emission.