南京北郊大气VOCs变化特征及来源解析

利用2011-03-01~2012-02-29南京北郊大气VOCs观测资料,对大气VOCs浓度变化特征和特征物比值差异展开研究,并应用PCA/APCS受体模型对不同季节VOCs来源进行了解析.结果表明,南京大气总VOCs体积混合比为43.52×10-9,其中烷烃占45.1%、烯烃占25.3%、炔烃占7.3%和芳香烃占22.3%.总VOCs体积混合比呈现夏季高,冬季低的季节变化.VOCs组分中烷烃在冬季最高,烯烃夏季最高,芳香烃春季最高,炔烃冬季最高.特征物比值(VOCs/乙炔)和T/B比值反映出观测点受周边工业区影响较大.VOCs源解析表明,主要来源来自工厂生产、机动车排放、燃料燃烧、生产活动挥发、溶剂使用和自然源.虽然有季节变化,但与工业生产活动相关的来源占大气VOCs 45%~63%,其次为机动车来源占34%~50%.     

Methods development and use of macroinvertebrates as indicators of ecological conditions for streams in the Mid-Atlantic Highlands Region

The Mid-Atlantic Highlands Assessment (MAHA) included the sampling of macroinvertebrates from 424 wadeable stream sites to determine status and trends, biological conditions, and water quality in first through third order streams in the Mid-Atlantic Highlands Region (MAHR) of the United States in 1993–1995. We identified reference and impaired sites using water chemistry and habitat criteria and evaluated a set of candidate macroinvertebrate metrics using a stepwise process. This process examined several metric characteristics, including ability of metrics to discriminate reference and impaired sites, relative scope of impairment, correlations with chemical and habitat indicators of stream disturbance, redundancy with other metrics, and within-year variability. Metrics that performed well were compared with metrics currently being used by three states in the region: Pennsylvania, Virginia, and West Virginia. Some of the metrics used by these states did not perform well when evaluated using regional data, while other metrics used by all three states in some form, specifically number of taxa, number of EPT taxa, and Hilsenhoff Biotic Index, performed well overall. Reasons for discrepancies between state and regional evaluations of metrics are explored. We also provide a set of metrics that, when used in combination, may provide a useful assessment of stream conditions in the MAHR.     

Source Apportionment and Identification of Polycyclic Aromatic Hydrocarbons (PAHs) in Sediment Cores of Selected Creeks in Delta State,Nigeria

Polycyclic aromatic hydrocarbons (PAHs) seasonal variation and sources in Ubeji, Ifie, and Egbokodo Creeks of the Niger Delta, Nigeria, were predicted using diagnostic ratios (DRs) of parent PAHs (Phe/Phe + Ant; Flu/Flu + Pyr; BaA/BaA + Chry, and Ind/Ind + BghiP) and principal component analysis (PCA). A total of 222 sediment core samples were collected during the wet (August 2010) and the dry seasons (January 2011). The samples were dried and Soxhlet extracted; sample extracts were fractionated and analyzed by gas chromatography/flame ionization detection (GC/FID) to identify individual PAHs. The diagnostic PAH ratios revealed that PAHs in the sediment cores at the three creeks, in both seasons, mainly stemmed from the combustion process (pyrogenic sources). Principal component analysis further confirmed that wood-burning, coal combustion, diesel, gasoline-powered vehicular emissions, and petroleum combustion were the dominant contributors of PAHs sources at the sampling location. This study provided information on the origin and sources of PAHs in sediment cores, which may be useful for regulatory actions, environmental quality management, contamination history, and environmental forensic studies.     

上海崇明农业土壤中共平面多氯联苯的初步研究

采用同位素稀释质谱法,用高分辨率气相色谱-高分辨率质谱仪(HRGC-HRMS)对上海崇明农业土壤中12个共平面多氯联苯(co-PCBs)的含量进行了测定,并且对可能的来源进行了初步探讨。31个农业土壤中co-PCBs浓度范围为24.86~814.50 pg/g,平均值为92.65 pg/g,毒性当量浓度(I-TEQ)为0.032~0.486 pg/g,平均值为0.142 pg/g。经过比较,其浓度远远低于国内外污染土壤水平,和一般的农业土壤水平比较接近,认为该地区基本未受co-PCBs的污染。其中个别位点的毒性当量浓度较高,认为有必要对该地区可能的来源进行分析。主成分分析结果表明,崇明土壤co-PCBs可能来自市售Arcolor和各种燃烧,包括室内煤炭、木料燃烧以及固体或医疗废物燃烧的影响。作为生态岛屿建设的崇明,需要特别关注防止土壤中的co-PCBs进一步升高降低生态系统良性循环的完整性。     

南四湖流域种植业面源污染氮磷源解析研究

利用田间径流池采集南四湖流域种植业农田地表径流样品,分析其不同形态的氮磷数据,汇总数据得到南四湖流域种植业的氮磷源成分谱;并在南四湖区11条主要入湖河流入湖口处采集水样,测定氮磷含量,利用主成分分析法对南四湖流域种植业面源污染氮磷来源进行了源解析.结果表明,南四湖流域氮磷种植业面源污染来源有3种,3个主成分累积方差贡献率为95.275%.第一类污染途径为降雨淋溶小麦-玉米轮作农田产生的地表径流对河流产生的污染,这种污染的范围广且贡献率较大为50.220%;第二类污染途径为降雨淋溶大蒜-玉米轮作农田产生的地表径流流入南四湖入湖河流引起的,影响面也较广,贡献率为25.119%;第三类污染途径为自然降雨时,小麦-水稻轮作农田产生的地表径流对河流的污染,贡献率为19.937%.     

大气环境分类的SVM联合决策方法

目的实现城市大气环境的精准快速归类预测。方法基于支持向量机(SVM)构建多分类问题的联合决策算法,将大量城市环境因素数据的主成分聚类结果作为输入,通过机器学习训练,组建大气环境的SVM联合决策模型。结果该模型根据大气环境因素将数据集91个城市划分为9类,其中河内与海防环境相似度最高,巴东与格尔木差异最大。9个SVM二分类器组建的联合决策模型通过逐点预测在主成分数据空间形成了分区预测云图。结论SVM联合决策模型可实现城市环境的快速分类辨识,分类预测结果精度高于95%。     

Characteristics of size distributions and sources of water-soluble ions in Lhasa during monsoon and non-monsoon seasons

To understand the physical and chemical characteristics, particle size distribution and sources of size-separated aerosols in Lhasa, which is located on the Tibetan Plateau (TP), six sizes of aerosol samples were collected in Lhasa in 2014. Ca²⁺, NH₄⁺, NO₃^?, SO₄^2?and Cl^? were the dominant ions. The ratio of cation equivalents (CE) to anion equivalents (AE) for each particle size segment indicated that the atmospheric aerosols in Lhasa were alkaline. SO₄^2? and NO3^? could be neutralized by Ca²⁺, but could not be neutralized by NH₄⁺, according to the [NH₄⁺]/[NO₃^??+?SO₄^2?] and [Ca²⁺]/[NO₃^??+?SO₄^2?] ratios. Mobile sources were dominant in PM_0.95–1.5, PM_1.5–3 and PM_3–7.2, while stationary sources were dominant in the other three size fractions according to the [NO₃^?]/[SO₄^2?] ratios. The particle size distribution of all water-soluble ions during monsoon and non-monsoon periods was characterized by a bimodal distribution due to the different sources and formation mechanisms, and it was revealed that different ions had different sources in different seasons and different particle size segments by combining particle size distribution with correlation analysis. Source analysis of aerosols in Lhasa was performed using the Principal component analysis (PCA) for the first time, which revealed that combustion sources, motor vehicle exhaust, photochemical reaction sources and various types of dust were the main sources of Lhasa aerosols. Furthermore, Lhasa''s air quality was also affected by long-distance transmission, expressed as pollutants from South Asiaand West Asia, which were transmitted to Lhasa according to backward trajectory analysis.     

白塔堡河不同粒级有机物的三维荧光特征解析

利用三维荧光扫描(3DEEM)和体积积分法(FRI),分析了辽河流域白塔堡河在春汛期水中溶解性有机物(DOM)、小粒径有机物(0.22~0.7μm)和大粒径有机物(>0.7μm)的分布。结果显示:白塔堡河中有机物以芳香类蛋白质和溶解性微生物代谢产物为主,腐植酸类物质含量极少;5类组分在不同粒径有机物中分布相似,在0.22μm以下的DOM中分布最多;溯源分析显示,DOM来源较单一,表现出较强的内源生物降解特性,而颗粒状有机物则表现出内源和陆源的双重特性;多元统计分析显示,白塔堡河点位有机物分布基本上呈现区域性分布特征。     

潜流人工湿地基质结构与微生物群落特征的相关性

为查明造成不同基质结构人工湿地净化性能差异的微生物因素,利用高通量测序技术,研究水平潜流人工湿地基质结构与微生物群落结构的相关性.结果表明,3个对比人工湿地系统中,从床体表层到底层渗透系数逐渐升高的六层结构人工湿地(CW6)净化性能最高,其出水中COD、TN、NO-3-N及NH_4~+-N平均浓度分别为39、11、0.35及4 mg·L~(-1),其后为三层结构人工湿地(CW3),而单层结构人工湿地(CW1)的净化效果最差,平均出水浓度分别为95、21、0.60及12 mg·L~(-1).高通量测序结果显示,多层结构人工湿地中微生物OTUs略低于单层结构湿地,但其优势菌门变形菌门(Proteobacteria)和其属水平上的硝化与反硝化细菌的相对丰度却显著高于单层湿地.PCA和丰度热图分析结果显示,CW3和CW6床体中变形菌门(Proteobacteria)属水平上的微生物存在显著的空间分布差异,从而有利于污染物的分区降解,而CW1各样点间的微生物群落结构无显著性差异.     

高速公路交通事故严重程度与交通流特征的关系研究

为研究交通事故发生前后交通流特征对事故严重程度的影响,以JT高速公路作为研究对象,长期观测和采集交通流及事故数据。将交通事故发生时段的交通流主要衡量指标与事故信息进行数据匹配,形成交通事故与事故小时交通流匹配数据集,并分析流量、速度、大车比例等交通流表征指标与不同等级事故数的分布规律。通过分析发现:在某些流量、速度或大车比例区段,交通事故数及其严重程度处于较高的水平。在此基础上,利用主成分分析(PCA)技术对衡量交通流特征的初始指标进行降维处理,用交通流主成分指标综合反映交通流特征,并建立事故严重程度与交通流主成分指标的统计分析模型。结果表明:交通流主成分指标趋于零的区段的事故严重程度明显高于其他区段。