石脑油/脱丁烷塔进料换热器结垢腐蚀原因及对策

对轻烃回收装置石脑油/脱丁烷塔进料换热器E-1202B结垢腐蚀进行了检查、检验,从腐蚀介质来源、垢样分析结果、流速等多方面分析了换热器腐蚀泄漏的原因,提出了相应的对策。     

环境内分泌干扰物前处理方法研究新进展

环境内分泌干扰物因其能够紊乱生物体正常内分泌功能而引起人们的广泛关注,然而内分泌干扰物在水环境中浓度极低,水体中复杂机质的干扰较大,在分析监测前一般要经过样品前处理过程,以起到富集痕量组分、消除基体干扰、提高方法灵敏度的作用。针对不同环境样品中内分泌干扰物的前处理方法不同,分别介绍了液体、固体或类固体环境样品的前处理技术,提出了各前处理方法的优缺点,总结并展望了环境内分泌干扰物样品前处理方法的发展方向。     

基于ANP和改进TOPSIS的城轨网络应急能力决策优化

应急能力决策优化是城市轨道交通网络应急管理中的关键问题。从防御、预警、救援和恢复4个方面,针对网络化运营组织的特点,系统分析城轨网络应急能力的影响因素,并利用网络层次分析法(ANP),建立影响因素间的关联关系,通过构建超矩阵,利用超级决策软件(SD)计算得到考虑关联关系的各影响因素客观权重。其次,将各因素客观权重加入逼近理想解排序法(TOPSIS)模型中,通过计算城轨网络中各线路的相对贴近度,构建城轨网络应急能力决策优化模型。结合具体算例指出城轨网络应急能力的关键影响因素,以及在应急能力方面存在的问题,并提出决策优化建议。     

联合多种荧光光谱和GC-MS研究高铁酸钾对菲的降解机理

研究了高铁酸钾对PAHs中的菲的降解反应过程,对该反应过程联合了时间扫描、偏振、偏振三维(PEEM)、三维(EEM)等多种荧光光谱模式进行了表征和分析,并结合GC-MS进一步检测分析了该反应过程的中间产物,最后系统探讨了高铁酸钾对菲降解的动力学反应规律及降解机理.实验结果表明,在设定的高铁酸钾-菲降解体系的物质的量之比为1∶1、1∶2、1∶3、2∶1、3∶1的各个降解反应过程均符合一级反应动力学特征,其拟合系数在0.905—0.995之间.通过不同摩尔比的高铁酸钾-菲降解过程的时间扫描荧光参数直接求得了各反应的动力学方程及曲线;菲降解过程的荧光偏振度值与PEEM共同揭示出高铁酸钾对菲的有效降解,且产物均为无偏振效应、无产生新的特征荧光的小分子结构,各特征光谱峰强与时间变化关系也与时间扫描荧光曲线相符合;最后结合GC-MS深入分析了菲的降解产物,并由此推测了高铁酸钾对菲的降解机理.降解产物中9,10-菲醌的大量存在表明菲结构中9,10位发生氧化而开始降解.     

The implications of planting mode on cadmium uptake and remobilization in rice: Field experiments across growth stages

•Direct seeding (DS) method led to more distributed Cd in aerial parts of rice. •The Cd content was significantly higher in brown rice with planting mode of DS. •Using DS lessened the Fe plaque covering the root surface in all growth stages. •Transplantation mode should be considered as a priority in Cd-contaminated areas. Global rice production practices have gradually changed from a reliance on transplanting to direct seeding. Yet how this shift may alter cadmium (Cd) accumulation in rice is poorly known. Here we conducted field experiments with two rice genotypes cultivars that were planted using three methods: via direct seeding (DS), seedling throwing (ST), and manual transplanting (MT). Rice samples were collected during four growth stages. The formation and distribution of iron plaque were analyzed using DCB (dithionite-citrate-bicarbonate) extractions and observed under micro-XRF (micro X-ray fluorescence). The results revealed that, in each growth stage, DS rice was more apt to harbor Cd distributed in the plant’s aerial parts, and the Cd concentration of brown rice from DS was 21.8%–43.3% significantly higher than those from ST and MT at maturity stage (p<0.05). During the vegetative stages, the Cd uptake percentage was higher in DS than MT rice, and those plants arising from the DS method were capable of absorbing more Cd earlier in their growth and development. Conversely, using DS decreased the amount of iron plaque covering the root surface in every growth stage, especially in the critical period of Cd accumulation, such that the roots’ middle areas were distinguished by a near-complete absence of iron plaque, thus weakening its role as an effective barrier to Cd uptake from soil. Collectively, this study demonstrated that implementing the DS mode of planting will increase Cd’s distribution in the aboveground parts of rice, and heightening the risk of Cd contamination in grain.     

Effect of current density on groundwater arsenite removal performance using air cathode electrocoagulation

• With the same charge, current density had little effect on As(III) removal in ACEC. • ACEC had the lowest energy consumption compared with EC/O₂ or EC/N₂. • There was a trade-off relationship between energy consumption and removal time. • The ·OH concentration in ACEC was 1.5 times of that in the EC/O₂ system. Naturally occurring arsenic enrichment in groundwater poses a huge threat to human health. Air cathode electrocoagulation (ACEC) has recently been proposed to enhance As(III) oxidation and lower energy consumption. In this study, ACEC, EC/O₂ and EC/N₂ were evaluated with different current densities from 1 to 8 mA/cm² to investigate the effect on As(III) removal in different redox environments. Current density had no appreciable effect on arsenic removal efficiency given the same charge in ACEC because the concentration ratio of Fe/H₂O₂ under different current densities remained stable. However, in EC/O₂ and EC/N₂, As(III) removal was inhibited at higher current densities (4–8 mA/cm²), likely because more Fe(II) competed with As(III) for the oxidant, leading to less effective oxidation of As(III). In all EC systems, the ·OH units generated per power consumption reached the highest value at the lowest current density. Compared with other EC systems, the ACEC system showed lower energy consumption at all current densities due to the low energy consumption of the electrode reaction and more free radical generation. A lower current density saved more energy at the expense of time, showing the trade-off relationship between energy consumption and removal time. The operation costs for As(III) removal under optimal conditions were calculated as 0.028 $/m³ for ACEC, 0.030 $/m³ for EC/O₂, and 0.085 $/m³ for EC/N₂     

利用多模式集合和多元线性回归改进北京PM_(10)预报

本研究将多模式集合预报和多元线性回归集成方法结合起来减小空气质量预报的不确定性.首先评估了北京空气质量多模式集合预报系统中3个模式成员(NAQPMS、CAMx、CMAQ)对北京地区PM10日均浓度的预报性能,在此基础上引入多元线性回归将历史观测信息纳入进来对3个模式预报结果进行集成,并将集成预报结果与3个模式算术平均的预报结果进行比较.结果发现:1不同模式的预报结果差异较大,并没有一个模式的预报技巧完全优于其它两个模式,其中CMAQ对北京PM10变化趋势的预报优于其它两个模式,NAQPMS预报的均方根误差整体低于其他两个模式.2多模式预报结果的算术平均在趋势预报和偏差两项指标上都低于部分单模式预报,并不能有效改进PM10预报;基于分站点的模式和观测数据构建的多元线性回归集成预报模型能显著提高PM10预报的准确率,选定合适的训练天数(36 d)后,28个站点PM10日均值预报的均方根误差相对单模式预报或集合平均预报下降32%~43%,预报偏差大幅减小至5.8μg·m-3,总体预报技巧显著优于单模式和多模式算术平均的预报结果,并且采用线性回归集成方法大幅提高了对污染过程的预报能力.     

渤海海冰作为淡水资源：脱盐机理与可利用价值

我国北部沿海地区缺水问题十分严重,但冬季在渤海及黄海北部形成较大范围的海冰。海冰因其成冰过程中盐分大量析出而盐度很低,可能成为解决这些地区缺水问题的重要淡水资源。论文根据实地观测和室内不同盐度海水的实验分析,阐述了渤海海冰盐度变化和海水成冰脱盐过程,并采用二次成冰脱盐和离心脱盐等方法,分析了海冰经进一步人工淡化的可能性,探讨了海冰作为淡水资源的可利用价值。     

牛粪燃烧实时排放挥发性有机物特征研究

在实验室模拟青海和西藏2种牛粪在民用炉具中的燃烧过程,采用稀释通道系统与质子转移飞行时间质谱（PTR-TOF-MS）在线分析牛粪燃烧排放的挥发性有机物（VOCs）,通过电子秤实时记录燃料质量的动态变化,获得牛粪燃烧排放VOCs浓度的时间序列与实时排放因子.结果表明,70g牛粪一次燃烧过程持续1100~1500s.牛粪燃烧排放VOCs浓度的时间变化趋势总体上呈单峰分布;西藏牛粪在燃烧450s左右VOCs浓度达到峰值7.92×10^-6;青海牛粪在燃烧400s左右VOCs浓度达到峰值6.01×10^-6.牛粪燃烧VOCs实时排放因子变化范围为40.74~156.88mg/g,趋势不同于VOCs浓度变化,随燃烧过程进行排放因子呈上升趋势.牛粪燃烧至3~4min左右,VOCs排放因子最低.甲醇、甲醛和乙醛3种VOCs排放因子占比最大,其中西藏牛粪燃烧3种VOCs排放占比分别为24.0%±1.9%、11.9%±1.8%和27.4%±1.4%,青海牛粪为22.0%±1.1%、13.3%±2.9%和17.7%±4.6%.本研究首次给出了牛粪燃烧VOCs实时排放因子,可为高时间分辨率排放清单建立和青藏高原地区室内空气污染的健康效应研究提供基础数据.     

武进港流域地表水中新污染物的高通量筛查与源解析

新污染物长期存在于水环境中,其对生态、人类健康存在的潜在危害和风险是不可忽视,而研究其在地表水中的分布特征及其来源可对新污染物的源头治理与管控提供帮助.武进港是太湖西北部的主要入湖河流之一,为了解武进港流域新污染物的分布,采用液相色谱-高分辨率质谱仪（LC-HRMS）对19处地表水样（包括主河道12个水样、支流7个水样）和污水处理厂出水水样中的新污染物进行高通量筛查.共识别出294种新污染物,其中药物类和农药类新污染物占比较大,分别为35.4%和32.3%.主成分分析表明,污水处理厂出水受新污染物污染的情况与地表水具有显著差异,同时19个地表水点位中,新污染物的分布在武进港流域存在南北地区差异.通过Mann-Whitney U检验,并绘制火山图,北部筛选出70种特征新污染物,其中药物类新污染物占比最大,为48.6%,包括咖啡因、金刚烷胺、缬沙坦等.南部筛选出17种特征新污染物,农药类占比最大,为52.9%,包括2-甲基-4-氯苯氧乙酸（MCPA）、灭草松等.相关性分析结果显示,农药类特征新污染物与农田占比呈正相关.