The role of a steel plant in north-west Italy to the local air concentrations of PCDD/Fs

Polychlorinated dibenzo-p-dioxins (PCDDs) and polychlorinated dibenzofurans (PCDFs) are ubiquitous contaminants, mainly released into the environment during combustion processes (point sources), but also from other sources (traffic, uncontrolled combustion).This study aims at investigating the contribution of a steel plant in NW Italy (700 000 tons of steel year⁻¹) to the air concentrations of PCDDs/PCDFs at local level, through the analysis of measured, modelled and literature data. The study was carried out in an area of 600 km², using air quality data measured by the institutional monitoring network, data obtained from AERMOD simulations and literature data.The measured air concentrations were consistent with literature values for similar areas, and both the homologue profiles and PCA analyses showed a clear distinction between the monitoring stations and the source profiles.All the previous results were confirmed by the air dispersion model (AERMOD), that predicted PCDD/F air concentrations due to the steel plant from four to two orders of magnitude lower than those measured in the monitoring stations, highlighting the presence of other sources.This study outlines the limited influence of the source in the local PCDD/F air concentrations and at the same time the usefulness of a joint analysis of measured, literature and calculated data to correctly evaluate the role of a source to the local pollution. The study also highlights the usefulness of AERMOD as a complementary tool to define the correct placement of monitoring stations and to locate those areas expected to have the highest air concentrations deriving from a source.     

Throughfall chemistry in a spruce chronosequence in southern Poland

The chemical composition of throughfall and canopy leaching, as well as the acid neutralizing capacity and alkalinity depended on the age of Norway spruce (Picea abies Karst) stands and season of the year. A higher amount of sulphur and strong acids was deposited to the soil in the older age classes. Concentrations of SO(4)(2)(-), K(+), H(+), Mn(2+), Fe(2+) and Zn(2+) in throughfall were higher than in bulk precipitation in any season. This suggests that these ions were washed out or washed from the surface of needles and/or barks. The other ions NO(3)(-), NH(4)(+), Ca(2+) and Mg(2+) were retained by the canopy, in particular Ca(2+) and Mg(2+) during the growing season in young stands. Principal component analysis identified five factors responsible for the data structure and suggested the major anthropogenic emission sources were acidic emission (SO(4)(2)(-)+NO(3)(-)), heavy metals-dust particles (Fe(2+)+Mn(2+)+Zn(2+)), ammonium (NH(4)(+)) and H(+), while the natural-origin emission was mineral dust (Na(+)+K(+)+Ca(2+)+Mg(2+)).     

基于PCA-PNN的采空区多源指标危险性辨识*

为了提高采空区多源指标危险性辨识的预测精度,基于主成分分析（PCA）和概率神经网络（PNN）,提出1种采空区多源指标危险性辨识方法。将影响华东某地区矿山采空区危险性辨识的9项因素作为主要影响因素,并以96个实测采空区为例进行分级。研究结果表明:与朴素贝叶斯、随机森林和AdaBoost 3种机器学习算法相比,PNN在测试集上表现更好,对实际工程具有良好的指导意义和应用价值。     

Modeling the binding of triazine herbicides to humic substances using capillary electrophoresis

The binding of 4 s-triazines herbicides and metabolites, ameline, hydroxyatrazine, atraton, and ametryn to 12 structurally different humic substances was studied by affinity capillary electrophoresis. Binding data were confronted to the structural data of humic acids obtained from spectrometric measurements (UV-Vis, FT/IR, NMR), elemental analysis and potentiometric titration. The results obtained with principal component analysis and partial least square analysis clearly show the importance of carboxylic acidity and aromaticity of the humic ligands in relation to the partial positive charge and relative hydrophobicity of the pesticides.     

Characterization and classification of complex PAH samples using GC-qMS and GC-TOFMS

The aim of this study was to compare the polycyclic aromatic hydrocarbon (PAH) contents in a number of complex samples, including soil samples from industrial sites, anti-skid sand, urban dust and ash samples from municipal solid waste incinerators. The samples were characterized by routine analysis of PAHs (gas chromatography–quadrupole mass spectrometry) and gas chromatography–time of flight mass spectrometry (GC–TOFMS). Classification of the samples by principal component analysis (PCA) according to their composition of PAHs revealed that samples associated with traffic and the municipal incinerator formed homogeneous clusters, while the PAH-contaminated soils clustered in separate groups. Using spectral data to resolve co-eluting chromatographic peaks, 962 peaks could be identified in the GC–TOFMS analysis of a pooled sample and 123–527 peaks in the individual samples. Many of the studied extracts included a unique set of chemicals, indicating that they had a much more diverse contamination profile than their PAH contents suggested. Compared to routine analysis, GC–TOFMS provided more detailed information about each sample and in this study a large number of alkylated PAHs were found to be associated with the corresponding unsubstituted PAHs. The possibility to filter peaks according to different criteria (e.g. to include only peaks that were detected in the analysis of another sample) was explored and used to identify unique as well as common compounds within samples. This procedure could prove to be valuable for obtaining relevant chemical data for use in conjunction with results from various biological test systems.     

基于CAN总线的汽车防撞报警系统设计

提出了一种基于CAN总线的汽车防撞报警系统设计方案,并论述其软硬件实设计方法.系统采用雷达传感器获取车辆信息,并依托CAN总线技术进行各节点问通信,具有很好的实时性和可扩展性.     

混凝反应中确定影响因素影响力大小的研究

该文在对合成洗涤剂废水进行混凝反应实验基础上，针对影响因素影响力大小的不同问题，使用主分量分析方法。对输入输出权矩阵进行处理和分析，对各影响因素影响力大小顺序进行了研究。分析结果表明，跟传统经验吻合较好，更重要的是对影响因子赋权方面提供了有力的理论依据，对混凝反应的理论分析于实验设计提供了新的思路。     

土地利用及退耕对喀斯特山区土壤活性有机碳的影响

以西南喀斯特山区几种典型土地利用方式为对象,研究了土地利用及退耕对全土、团聚体活性有机碳及其恢复能力的影响.结果表明,随土壤深度的增加,土壤活性有机碳含量及其离散程度呈下降趋势,其中0~10 cm土壤活性有机碳含量与10~20 cm和20~30 cm两个剖面层次达极显著(P<0.01)差异水平;活性有机碳含量在0~10 cm范围内以<0.25 mm团聚体粒径最高,然而在10~20 cm和20~30 cm活性有机碳在各粒径中的分布并不明显;不同土地利用方式下,水田中无论全土还是团聚体中活性有机碳均表现出较高水平,灌从次之,而以退耕3 a草丛最低.组内-组间主成分分析表明,土地利用方式与土壤活性有机碳的累积特征表现为水田>灌丛>退耕15 a草丛≈旱地>退耕3 a草丛,其中退耕15 a草丛在0~10 cm深度下较旱地增加了20.3%,且达到灌丛土壤活性有机碳的80%,表明喀斯特山区土地退耕初期土壤有机碳恢复速度相对缓慢,而随退耕时间的推移,土壤碳汇效应逐步显现.     

长白山背景站大气VOCs浓度变化特征及来源分析

挥发性有机物(VOCs)是臭氧和二次有机气溶胶的重要前体物.为研究中国东北背景地区大气中VOCs浓度和变化特征,应用苏码罐采样技术、三步冷冻浓缩和GC/MS联用技术测定了长白山大气本底站中的VOCs组成、浓度及季节变化,并利用PCA(principal component analysis)受体模型初步解析了白山大气中VOCs来源.结果表明,长白山地区TVOCs年平均浓度(体积分数)为10.7×10~(-9)±6.2×10~(-9),其中卤代烃所占比例最高,占VOCs总浓度的37%,其次是烷烃33%、芳香烃15%、烯烃15%.长白山地区TVOCs呈现明显的季节变化,变化特征为春季﹥秋季﹥夏季﹥冬季,春季大气中的TVOCs浓度显著(P﹤0.05)高于其他季节.利用主成分分析VOCs物种,提取出5个因子,分别归纳为交通源、液化石油气(LPG)、生物源、燃烧源和区域工业输送.结合HYSPLIT-4.0后向轨迹模型,分析周边区域传输对VOCs物种浓度的影响,发现来自西南向气团传输是长白山VOCs物种浓度增加的主要原因.     

贡嘎山本底站大气中VOCs的研究

为研究中国西南地区大气中挥发性有机物（VOCs）区域性本底浓度和变化特征,利用不锈钢钢瓶采样、三步冷冻浓缩进样-气相色谱/质谱联用技术（GC/MS）,测定了贡嘎山大气本底站大气中的VOCs组成、浓度及季节变化,并利用PCA（principal component analysis）受体模型对大气中VOCs来源进行了初步分析.结果表明,贡嘎山地区TVOCs和NMHCs的年平均浓度（体积分数）分别为9.40×10-9±4.55×10-9和7.73×10-9±4.43×10-9,且两者的最高和最低浓度都出现在同一次采样.在TVOCs中,芳香烃所占比例最大,为37.3%,烷烃（30.0%）和卤代烃（19.8%）次之,烯烃的比例最低,为12.9%.通过PCA受体模型分析发现,贡嘎山地区大气中VOCs的主要来源可以归结为交通源、生物源和燃烧源.贡嘎山地区大气中TVOCs呈现明显的季节变化,变化特征为秋季〉冬季〉春季〉夏季,秋季和冬季大气中的TVOCs浓度分别极显著（P〈0.01）和显著地高于夏季（P〈0.05）,由于光化学性质的差异,4种类型的VOCs季节变化也呈现出不同的特征.异戊二烯是生物源的重要排放物,其排放速率与大气温度呈指数相关,在20℃以上随着温度的升高排放速率明显增强,其最高和最低值分别出现在夏季的下午和冬季的上午.与其他地区的研究结果相比,贡嘎山地区TVOCs的排放处于中等水平,有着明显的本底站排放特征.