Spatiotemporal trends of PM2.5 and its major chemical components at urban sites in Canada

To evaluate the effectiveness of emission control regulations designed for reducing air pollution, chemically resolved PM_2.5 data have been collected across Canada through the National Air Pollution Surveillance network in the past decade. 24-hr time integrated PM_2.5 collected at seven urban and two rural sites during 2010-2016 were analyzed to characterize geographical and seasonal patterns and associated potential causes. Site-specific seven-year mean gravimetric PM_2.5 mass concentrations ranged from 5.7 to 9.6 µg/m³. Seven-year mean concentrations of SO₄^2?, NO₃^?, NH₄⁺, organic carbon (OC), and elemental carbon (EC) were in the range of 0.68 to 1.6, 0.21 to 1.5, 0.27 to 0.71, 1.1 to 1.9, and 0.37 to 0.71 µg /m³, accounting for 10.8%-18.1%, 3.7%-16.7%, 4.7%-7.4%, 18.4%-21.0%, and 6.4%-10.6%, respectively, of gravimetric PM_2.5 mass. PM_2.5 and its five major chemical components showed higher concentrations in southeastern Canada and lower values in Atlantic Canada, with the seven-year mean ratios between the two regions being on the order of 1.7 for PM_2.5 and 1.8-7.1 for its chemical components. When comparing the concentrations between urban and rural sites within the same region, those of SO₄^2? and NH₄⁺ were comparable, while those of NO₃^?, OC, and EC were around 20%, 40%-50%, and 70%-80%, respectively, higher at urban than rural sites, indicating the regional scale impacts of SO₄^2? and NH₄⁺ and effects of local sources on OC and EC. Monthly variations generally showed summertime peaks for SO₄^2? and wintertime peaks for NO₃^?, but those of NH₄⁺, OC, and EC exhibited different seasonality at different locations.     

基于链式多重插补的WOA-ELM煤与瓦斯突出预测模型*

为了提高缺失数据下煤与瓦斯突出预测准确率,提出1种基于链式支持向量机多重插补（MICE_SVM）的鲸鱼优化算法（WOA）-极限学习机（ELM）预测模型,以淮南朱集矿区为例,选取5个煤与瓦斯突出影响指标作为模型特征,采用提出的MICE_SVM算法插补突出事故数据中缺失值,利用WOA优选ELM输入层权值及隐含层阈值,构建煤与瓦斯突出预测模型,将插补后数据用于WOA-ELM模型的训练与测试,并与其他模型的预测效果对比。研究结果表明:MICE_SVM插补前、后的有突出数据预测准确率分别为83.02%,90.41%,MICE_SVM显著提高了有突出预测准确率,对无突出和整体的预测准确率提高不明显;数据插补后WOA优化ELM对无突出、有突出和整体的预测准确率分别为97.94%,96.25%,96.48%,较优化前分别提高了5.79%,5.84%,5.55%,数据插补后WOA-ELM为最佳预测模型。     

源解析中环境受体数据处理与扩展方法的建立

本文对包含污染源或气象条件等发生剧烈变化且数据量小的实测受体数据进行了正态扩展,得到扩展数据.同时,利用PMF和PCA模型验证了扩展方法得到的数据量是否能满足模型的要求.结果表明,扩展范围和扩展受体成分谱个数是两个影响扩展数据合理性的主要因素,最佳扩展条件为:扩展范围取标准差的0.5倍,扩展受体成分谱个数为6个.通过53 h算法标记出每个化学成分时间序列中能够代表污染源或气象条件等发生剧烈变化的值并给出对应的估计值.将与估计值的相对误差(RE)超过80%的被标记的值剔除,其余的替换成估计值,发现扩展后PCA解析结果与原始数据处理后数据解析结果基本一致,能够得到主要贡献的污染源及贡献率;若将被标记的值全部剔除后,则不适合做PCA解析;仅通过PMF验证,且扩展数据与原始数据的解析结果中污染源类的判断一致.将受体数据各化学成分的时间序列中代表污染源或气象条件等发生剧烈变化的值替换成53 h算法给出的估计值,对于受体数据量小且用无源成分谱的多元统计方法解析无法给出结果的情况下的源解析有更大价值.     

Life cycle assessment and energy intensity of CFRP recycling using supercritical N-butanol

Journal of Material Cycles and Waste Management - Recycling carbon fiber reinforced polymer (CFRP) waste is unavoidable for the sustainable manufacturing and cost reduction of CFRP products....     

水体中N、Fe的存在形态对萘普生光解行为的影响

研究了水环境中不同形态的无机氮(NO_3~-、NO_2~-、NH_4~+)和铁(Fe~(3+)、Fe~(2+))对萘普生(NPX)紫外光降解的影响.结果表明,NO_3~-、NO_2~-、Fe~(3+)和Fe~(2+)均抑制NPX的紫外光降解,抑制率随添加浓度的增加而增大;NH_4~+对NPX的紫外光降解基本没有影响.同时,模拟在水体中不同p E值下,不同形态无机氮和铁体系分别对NPX紫外光降解的复合影响.研究发现,在无机氮体系,复合状态下对NPX的紫外光降解存在拮抗作用;在铁体系,复合状态下对NPX的紫外光降解存在协同作用.     

抗生素菌渣处理技术研究进展

抗生素菌渣是制药企业在生产抗生素类药物时,由微生物发酵产生的固体废弃物.作为国家规定的危险废物,其产量大、含水率高、含氮、硫量高、残留抗生素的特点,使其具有巨大的环境危害性.抗生素菌渣的科学、无害处理是医药固废领域的热点难题.本文系统阐述了抗生素菌渣的类型、性质和危害,详细综述了目前主流的各类热化学处理技术和非热化学处理技术,重点对包括焚烧技术、水热技术和热解气化技术等在内的热化学处理技术进行了系统归纳,汇总分析其技术特点、环境影响、应用瓶颈及研究进展.同时,对抗生素菌渣处理的未来发展提出若干建议和展望,提出烘焙技术消除其生物危险性的处理理念,建立健全相关安全标准与法律规范,以更好地降低抗生素菌渣潜在的环境风险并实现资源利用,解决抗生素类药物生产工艺的后顾之忧,促进我国制药行业持续健康发展.     

Degradation Mechanism of CF/EP Composites in Supercritical <Emphasis Type="Italic">n</Emphasis>-Butanol with Alkali Additives

CF/EP (carbon fibre/epoxy resin) composites were degraded by supercritical n-butanol with alkali additive KOH in a batch reactor. The catalytic degradation mechanism of the composites was investigated based on the analysis of liquid phase products by GC–MS and solid phase products by FTIR. The results indicate that alkali additive (KOH) can promote Guerbet reaction and increase hydrogen donor capability of supercritical n-butanol. The H^· can combine promptly with the free radical formed by the scission of linear and crosslinked chains in epoxy resin to generate the liquid products, including phenol, 4-isopropylphenol, 4-(2-methylallyl)phenol and other derivatives of benzene and phenol. The combination of supercritical n-butanol with alkali additive is an effective way to degrade and recycle CF/EP composites.     

北京冬季雾霾天气下颗粒物及其化学组分的粒径分布特征研究

为认识雾霾天气下颗粒物及其化学组分的粒径分布特征,利用13级低压撞击采样器采集北京城区冬季一次典型雾霾天气下的大气颗粒物,采用离子色谱和元素碳/有机碳分析仪分析了PM10中不同粒径的水溶性离子、元素碳和有机碳组分,获得了颗粒物及其化学成分的粒径分布特征.结果表明,不同天气下颗粒物质量浓度大小为:雾霾多云雪天晴天,4种天气下PM2.5/PM10均大于74%,说明冬季污染主要是由细颗粒物污染引起.SO2-4、NO-3、NH+4、Cl-、Ca2+是最主要的水溶性离子.SO2-4、NO-3、NH+4在0.76μm出现单峰;Ca2+和Mg2+在0.31和5.13~8.09μm出现双峰,主要分布在粗模态;Cl-和K+在0.76和5.13μm出现双峰,主要分布在细粒径段.OC、EC也富集于细粒子,显单峰结构.随污染程度增加,二次无机离子及碳组分浓度均显著增加,SO2、NO2的表观转化率(SOR、NOR)以及OC/EC在灰霾期间都远远高于二级良,可见二次无机源及有机源是污染的主要来源.在空气流动性差的灰霾持续期,机动车尾气排放的EC等一次污染物贡献增加.分析NO-3/SO2-4的粒径分布发现,机动车尾气对爱根核模态及凝结模态的亚微米模态(1μm)贡献大于固定源,机动车尾气排放对大气污染的贡献已十分凸显.此外,燃煤污染的区域输送对污染的形成也有重要贡献,重污染期间土壤扬尘的贡献较小.     

万州城区夏季、冬季PM_(2.5)中有机碳和元素碳的浓度特征

在位于三峡库区腹心的山地城市万州城区采集夏季和冬季PM2.5样品,采用热光反射法(Thermal Optical Reflection,TOR)测定了PM2.5中有机碳(OC)和元素碳(EC)的浓度,探讨了其污染特征及来源.结果发现,OC和EC在夏季的平均浓度分别为(7.09±1.86)μg·m-3和(3.49±0.64)μg·m-3;冬季分别为(16.82±6.87)μg·m-3和(6.21±2.06)μg·m-3,高于夏季,这可能与冬季当地居民生物质燃烧的贡献显著增加有关.冬季OC和EC显著线性相关(r=0.89),表明冬季两者的一次污染来源相近.冬季PM2.5中总碳(TC)和水溶性K+含量的相关性(r=0.88)高于夏季(r=0.69),表明冬季生物质燃烧对碳污染贡献显著.利用OC/EC比值法对二次有机碳(SOC)进行估算,SOC的浓度均值在夏季为(2.17±1.46)μg·m-3,占OC比例为28.18%±13.85%;冬季为(4.46±3.69)μg·m-3,占OC的23.13%±12.30%.通过计算PM2.5中8个碳组分丰度,初步判断机动车尾气排放和生物质燃烧是万州城区碳组分的主要来源.