青岛大气总悬浮颗粒物中微量元素的含量特征及其来源解析

利用2012年12月在青岛连续采集的31个总悬浮颗粒物样品(TSP),分析了其中13种微量元素的浓度,讨论了微量元素的浓度特征,并运用正矩阵因子分析法(PMF)定量解析了气溶胶中元素的来源.结果表明,青岛气溶胶中微量元素的总浓度为(7.37±4.19)μg·m-3,以Al和Fe的浓度最高,对总浓度的贡献约为92%,其次为Zn和Pb,分别贡献了3.7%和1.6%,Mn、Ba、Cu、Sr、As、V、Cd、Co和Cs的浓度依次降低,其贡献均低于1%.依据富集因子这些微量元素可以分为3类,Al、Fe、Mn、Co、V、Sr和Ba主要来自地壳源的贡献,Cs和Cu受地壳源和人为源的共同影响,Zn、As、Pb和Cd则主要受人为源的影响.雾霾天时主要来自人为源的元素相比地壳源的元素更多的在大气中累积,雨雪天时降雨/雪对地壳元素的湿清除作用明显高于人为源的元素.12月青岛气溶胶中Fe和Mn主要来自土壤源的贡献,其次为生物质燃烧和机动车一次排放源;Co主要来自土壤源、生物质燃烧和燃煤源的贡献;Zn主要来自机动车一次排放源、土壤源和生物质燃烧源的贡献;Cu则主要来自冶金工业源的贡献;As主要来自燃煤源的贡献;Pb和Cd主要来自机动车一次排放源和冶金工业源的贡献.     

连环湖区域小东湖表层沉积物营养盐变化特征与污染评价研究

于2010年8月赴连环湖小东湖采集表层沉积物样品.在对小东湖表层沉积物总氮(TN)、总磷(TP)及磷形态、有机质(OM)、粒度指标测试分析的基础上,探讨小东湖表层沉积物营养元素变化特征及影响因素,并采用有机指数与有机氮指标对小东湖表层沉积物的污染状况进行评价.研究结果表明,TP平均含量为535.75 mg/kg,接近于富营养化严重的太湖和巢湖,小东湖表层沉积物Ca-P、IP、TP受<4 μm、4~16 μm、>64 μm粒级含量影响较大,Fe/Al-P和OP受粒度影响较弱.小东湖有机指数为Ⅱ等级,属于较清洁范畴,有机氮指标达到Ⅳ等级,为有机氮污染.     

Assessment of physico-chemical properties and metal contents of water and sediments of Bodo Creek,Niger Delta,Nigeria

Some physico-chemical properties and the concentrations of the metals Fe, Mn, Ni, Cd, Cr, Co, Cu, Pb, and Zn in water and sediments were examined from September 2011 to January 2012 in Bodo Creek, where oil spills have been recurrent. Temperature, pH, total dissolved solid, conductivity, salinity, dissolved oxygen, biological oxygen demand (BOD), chemical oxygen demand (COD), total hardness, sulfate, nitrate, and phosphate were determined in surface water. Particle size, total organic matter (TOM), and pH were also determined in the sediments. The parameters were within permissible limits except the mean values of BOD, COD, total hardness, and sulfate that exceeded levels permissible for domestic use. The sediments consisted mainly of sand, with TOM ranging from 0.2% to 5.5%. With the exception of cadmium that was below detection limit, metal levels (mg kg^?1) in the sediments were 12 (Mn), 1070 (Fe), 10 (Cu), 10 (Zn), 5.3 (Cr), 1.1 (Pb), 1.0 (Ni), and 0.5 (Co) while in water they were 24, 98, 21, 6.9, 4.0, 0.6, 0.18, and 0.16, respectively. The latter were higher than World Health Organization recommended permissible levels for both surface and drinking water.     

太湖湖心区的痕量金属历史沉积过程研究

以太湖湖心区的沉积物为研究对象,解析了湖心区痕量金属的沉积通量年变化,探明了湖心区痕量金属的历史沉积情况.结果表明:湖心区各样点沉积物的沉积速率从1950年以前的(0.032±0.023)g·cm-2·a-1缓慢递增到1980前后的(0.076±0.030)g·cm-2·a-1,1980年后突增明显,在2000年后达到(0.185±0.132)g·cm-2·a-1.湖心区沉积物中8种痕量金属(钒、铬、镍、铜、锌、砷、镉和铅)的含量年变化没有明显递增趋势,在20世纪80年代(对应沉积柱4~9 cm深度处)前后相差不大(变幅小于20%).但8种金属元素的沉积通量随时间推进而递增,与1980年前相比,金属沉积通量在1980年后突增倍数达到11倍以上.金属沉积通量与沉积物的沉积速率显著正相关,并与20世纪20年代以来太湖流域社会经济发展形势相一致.1980年后8种痕量金属沉积总量在湖心区西部最大,而沉积物沉积速率对湖心区南部的痕量金属沉积总量贡献最大.通过金属沉积通量可以更全面地研究太湖重金属的历史沉积过程和人为活动的干扰效应.     

天山山地河流水体中微量重金属的分布特征及形态分析

为了解绿洲经济迅速发展背景下天山山地河流水体中重金属分布特征及形态特征,对乌鲁木齐-阿克苏、巴里坤-伊吾、昭苏-特克斯等3个区段河流干支流重金属Zn、Cu、Pb、Cr、As、Hg、Cd的分布、来源、污染状况及存在形态进行了分析.结果表明:1天山山地各取样河流的p H值大部分在8.0左右,为偏碱性的环境;各取样点水体的氧化还原反应电位值在150~200 m V之间,为弱氧化的环境.水质评价表明,3个采样区段河流中7种重金属的含量均低于国家Ⅰ类水质标准及WHO饮用水健康的建议标准.2多元统计分析表明,7种重金属可以归为3个主成分,其中PC1(Hg、Zn和Pb)主要受人为污染因素的影响;PC 2(Cr和As)主要受自然地质背景的影响;PC 3(Cd和Cu)同时受人为和自然因素的共同影响.3污染评价表明,天山山地河流中7种重金属的单因子污染指数值和综合污染指数值均小于1,属于安全等级,清洁水平.4形态分析表明,重金属Pb、Cd和Hg在天山中部的乌鲁木齐-阿克苏区段干支流,重金属As和Cu在天山东部的巴里坤-伊吾区段和天山西部的昭苏-特克斯区段干支流中溶解态的含量均大于50%,生物毒性较大.总体上,3个采样区段河流干支流重金属的总量及溶解态含量均较低,未造成污染.但在天山山地中部的乌鲁木齐-阿克苏区段,河流干支流中重金属Pb、Cd和Hg的总量及溶解态含量较高.应加强对该区域人类活动的合理规划以及河流水质监测,防止因人为污染而导致河流水体中重金属的含量过高,危害生态环境.     

元宵节期间北京PM_(2.5)单颗粒的物理化学特征

采集2014年元宵节期间北京PM2.5样品,使用场发射扫锚电镜-能谱仪观察北京PM2.5单颗粒的显微形貌和元素组成,并利用图像分析系统对PM2.5的粒径进行分析.结果表明:PM2.5的单颗粒类型以烟尘集合体、矿物颗粒和飞灰为主;烟花爆竹燃放产生的PM2.5是造成元宵节期间北京PM2.5浓度升高的主要原因;PM2.5中总颗粒物个数呈现先升高后降低的趋势;元宵节期间北京PM2.5中大部分颗粒物的粒径小于0.7μm;然而,重污染天气PM2.5中粒径大于0.7μm颗粒物的数量明显高于轻污染天气.     

土壤粒径、氮素及重金属对填埋场覆土CH_4氧化的影响

采用批式培养试验重点研究了土壤粒径、NH4+-N和NO3--N及重金属〔Zn和Cr(Ⅵ)〕含量对填埋场砂性覆土及一般砂土CH4氧化能力的影响.结果表明:合适的土壤粒径能显著提高砂性覆土和一般砂土的CH4氧化能力(P0.05),当粒径为1.00~2.00 mm时,砂性覆土和一般砂土的CH4氧化速率分别高达0.24和0.12μmol/(g·h).低浓度NH4+-N或NO3--N均可以促进砂性覆土和一般砂土的CH4氧化,而高浓度则会明显抑制CH4氧化.砂性覆土和一般砂土的外源氨氮和外源NO3--N的投加量(以w计)临界值均为200 mg/kg,砂性覆土对NH4+-N浓度的波动有更好的适应能力;重金属Zn、Cr(Ⅵ)对砂性覆土和一般砂土CH4氧化的抑制作用均随浓度的升高而增强,Zn对砂性覆土CH4氧化的抑制作用程度大于Cr,并且Zn对一般砂土CH4氧化的抑制程度明显强于砂性覆土.为此,筛选合适粒径级配的土壤,同时控制覆土中氮素及重金属的本底含量,有利于填埋场CH4氧化.     

热颗粒和热辐射共同作用阴燃点燃松针燃料床：数值研究

建立了热颗粒和热辐射共同作用下阴燃点燃松针燃料床的二维数值模型,计算得到了热颗粒和热辐射单独点燃以及共同作用点燃的临界条件,分析了燃料床的点燃过程。与前人实验数据对比表明数值模型能够较好预测临界点燃条件。金属热颗粒单独作用时点火所需的临界温度与颗粒直径呈双曲线关系。金属热颗粒与热辐射共同作用时,临界辐射热通量呈现出随颗粒温度和直径的增加而显著减小的趋势。热辐射持续供热能有效维持表层炭氧化反应,两者共同作用下点燃危险性增加。研究同时发现,燃料含水率对共同作用下的临界辐射热通量有较大影响。     

A hybrid machine learning model for predicting crater width formed by explosions of natural gas pipelines

Despite the existence of industry models for estimating the crater width formed by the explosion of natural gas pipelines, their applicability is still limited since the complex formation mechanisms. In this work, a novel hybrid model was developed to predict crater width formed by explosions of natural gas pipelines, using artificial neural networks (ANN) as the fundamental predictor. Based on the historical accident records, the proposed hybrid model was trained by the pipeline parameter, the operating condition, the installation parameter, and the crater width. A novel nature-inspired optimization algorithm, i.e., the Lévy-Weighted Quantum particle swarm optimization (LWQPSO) algorithm, was proposed to optimize the ANN model's parameters. Three machine learning models were developed for comparative reasons to predict the crater width. The use of precision and error analysis indicators assesses prediction performance. The results show that the proposed hybrid model (LWQPSO-ANN) has high prediction accuracy and stability, which outperforms QPSO-ANN-based benchmark hybrid models and the model without an optimizer (Support Vector Machine, SVM). The parameter sensitivities of the proposed algorithm, including the maximum number of iterations, population size and contraction-expansion coefficient, were determined. The proposed hybrid model is expected to support the quantitative risk assessment (QRA), Right-of-Way (ROW) definition and the inherently safer design of the underground parallel pipelines.     

Smog chamber study on the evolution of fume from residential coal combustion

Domestic coal stoves are widely used in countryside and greenbelt residents in China for heating and cooking, and emit considerable pollutants to the atmosphere because of no treatment of their exhaust, which can result in deteriorating local air quality. In this study, a dynamic smog chamber was used to investigate the real-time emissions of gaseous and particulate pollutants during the combustion process and a static smog chamber was used to investigate the fume evolution under simulate light irradiation. The real-time emissions revealed that the total hydrocarbon (THC) and CO increased sharply after ignition, and then quickly decreased, indicating volatilization of hydrocarbons with low molecular weight and incomplete combustion at the beginning stage of combustion made great contribution to these pollutants. There was evident shoulder peak around 10 min combustion for both THC and CO, revealing the emissions from vitrinite combustion. Additionally, another broad emission peak of CO after 30 min was also observed, which was ascribed to the incomplete combustion of the inertinite. Compared with THC and CO, there was only one emission peak for NOx, SO₂ and particular matters at the beginning stage of combustion. The fume evolution with static chamber simulation indicated that evident consumption of SO₂ and NOx as well as new particle formation were observed. The consumption rates for SO₂ and NOx were about 3.44% hr^-1 and 3.68% hr^-1, the new particle formation of nuclei particles grew at a rate of 16.03 nm/hr during the first reaction hour, and the increase of the diameter of accumulation mode particles was evident. The addition of isoprene to the diluted mixture of the fume could promote O₃ and secondary particle formation.