交通拥堵对TSP排放的影响分析

在上海市杨浦区军工路部分路段采集TSP浓度、气压、温度、分车型车流量、区段车速、信号配时等数据,通过多元回归方法分析小型车交通量,大型车交通量,拖挂车交通量及区段车速对TSP浓度的影响,建立起TSP浓度与上述交通变量的函数关系,并通过AIMSUN交通仿真软件以及基础采集数据,建立军工路路网,模拟四种交通拥堵状况(重度拥堵,中度拥堵,轻度拥堵,基本畅通)的产生和消散过程。综合分析路段交通拥堵对道路TSP排放和分布的影响。分析整理得出道路TSP小时排放总量和拥堵程度成正比关系,且TSP污染主要集中在车辆拥挤怠速的部分,车辆拥挤排队的队尾部分是TSP排放源强最高、源强增长最快的区域,增长率达到240%～290%。     

氧化亚铜类Fenton氧化降解染料活性艳蓝KN-R的研究

氧化亚铜(Cu2O)与H2O2组成的类Fenton体系能很好的氧化降解印染废水中的有机物.实验用Cu2O类Fenton氧化降解染料活性艳蓝KN-R,研究表明,Cu2O类Fenton能很好的氧化降解染料活性艳蓝KN-R.在KN-R的溶液初始pH值为2,水浴温度为50℃的条件下,用0.429 g Cu2O(0.3 mmol)和0.1 mL、质量分数为30%的H2O2处理50 mL、质量浓度为100mg/L的KN-R溶液1 h,其脱色率为95.09%,TOC去除率为56.38%.     

检测实验室盲样考核及其质量控制

盲样考核及其质量控制是检测实验室的必要条件.从检测实验室角度,论述了盲样考核及质量控制的过程,结合理化分析、原子吸收火焰和石墨炉、气相色谱等典型实例进行分析总结,并进一步探讨了盲样考核及其过程和结果质量控制的多种策略和方法,具有实用性.     

国内含油污泥的综合利用方法

含油污泥是在石油开采和加工过程中产生的含油固体废物．含油量可高达30％以上。含油污泥中的油气挥发,污染生产区域内空气质量,散落和堆放的含油污泥污染地表水甚至地下水水质,进而影响人类的健康。资源化和无害化是含油污泥处理的目标,主要论述了含油污泥的资源化与综合处理方法．对国内含油污泥的综合利用方面的专利成果进行了综述。     

膨胀石墨污水净化处理研究

利用膨胀石墨强大的吸附能力来处理城市生活污水,结果发现用膨胀石墨处理污水的前8h,COD的去除率达43％;处理第5～9d将出现第二个高峰,COD的去除率达48％,分析原因可能是存在物理吸附和微生物絮凝两方面的作用。最后经过20d的处理,膨胀石墨对生活污水的COD和BOD总去除率分别达到86％、78．9％,且除臭能力也很显著。     

基于快速聚类方法分析常州市区PM2.5的统计特性

运用统计方法研究常州市区2013~2014年6个国控点六项基本污染物(SO_2、NO_2、CO、O_3、PM_(2.5)和PM_(10))月平均浓度变化,结果表明,除O_3外,其它五项污染物月平均浓度夏季较低冬季较高.颗粒物与风速之间的关系为PM_(2.5)浓度随风速的升高一直降低,PM_(10)随风速的升高浓度先降低后升高.采用快速聚类分析(k-means)并运用SWV和DIV指数对六项基本污染物进行分类,得到4个样本分类.与依据颗粒物化学成分或粒径谱对PM进行源解析方法不同,本研究更多是从PM_(2.5)与其它污染物相关关系以及污染程度等角度按照欧式距离进行分类.不同类中PM_(2.5)来源明显不同,类1中PM_(2.5)与化石燃料燃烧排放密切相关,类2与O_3密切相关,类3与城市不完全燃烧排放、区域灰霾污染密切相关,类4可以归类于城市"背景"类.快速聚类分析结果也表明常州市区PM_(2.5)有着复杂的来源.     

Removal of polycyclic aromatic hydrocarbons from aqueous solution by raw and modified plant residue materials as biosorbents

Removal of polycyclic aromatic hydrocarbons （PAHs）, e.g., naphthalene, acenaphthene, phenanthrene and pyrene, from aqueous solution by raw and modified plant residues was investigated to develop low cost biosorbents for organic pollutant abatement. Bamboo wood, pine wood, pine needles and pine bark were selected as plant residues, and acid hydrolysis was used as an easily modification method. The raw and modified biosorbents were characterized by elemental analysis, Fourier transform infrared spectroscopy and scanning electron microscopy. The sorption isotherms of PAHs to raw biosorbents were apparently linear, and were dominated by a partitioning process. In comparison, the isotherms of the hydrolyzed biosorbents displayed nonlinearity, which was controlled by partitioning and the specific interaction mechanism. The sorpfion kinetic curves of PAHs to the raw and modified plant residues fit well with the pseudo second-order kinetics model. The sorption rates were faster for the raw biosorbents than the corresponding hydrolyzed biosorbents, which was attributed to the latter having more condensed domains （i.e., exposed aromatic core）. By the consumption of the amorphous cellulose component under acid hydrolysis, the sorption capability of the hydrolyzed biosorbents was notably enhanced, i.e., 6-18 fold for phenanthrene, 6-8 fold for naphthalene and pyrene and 5-8 fold for acenaphthene. The sorpfion coefficients （Kd） were negatively correlated with the polarity index [（O＋N）/C], and positively correlated with the aromaticity of the biosorbents. For a given biosorbent, a positive linear correlation between logKoc and logKow for different PAHs was observed. Interestingly, the linear plots of logKoc-logKow were parallel for different biosorbents. These observations suggest that the raw and modified plant residues have great potential as biosorbents to remove PAHs from wastewater.     

Arsenic removal from groundwater by acclimated sludge under autohydrogenotrophic conditions

Arsenic in the environment is attracting increasing attention due to its chronic health effects. Although arsenite(As(III)) is generally more mobile and more toxic than arsenate(As(V)), reducing As(V) to As(III) may still be a means for decontamination, because As(III) can be removed from solution by precipitation with sulfide or by adsorption or complexation with other metal sulfides. The performance of As(V) bio-reduction under autohydrogenotrophic conditions was investigated with batch experiments. The results showed that As(V) reduction was a biochemical process while both acclimated sludge and hydrogen were essential. Most of the reduced arsenic remained in a soluble form, although 20% was removed with no addition of sulfate, while 82% was removed when sulfate was reduced to sulfide. The results demonstrated that the reduced arsenic was re-sequestered in the precipitates, probably as arsenic sulfides. Kinetic analysis showed that pseudo first-order kinetics described the bio-reduction process better than pseudo second-order. In particular, the influences of pH and temperature on As(V) reduction by acclimated sludge under autohydrogenotrophic conditions and total soluble As removal were examined. The reduction process was highly sensitive to both pH and temperature, with the optimum ranges of pH 6.5–7.0 and 30–40°C respectively. Furthermore, Arrhenius modeling results for the temperature effect indicated that the As(V) reduction trend was systematic. Total soluble As removal was consistent with the trend of As(V) reduction.     

化工废水的超临界水氧化研究

在超临界条件下,管式反应器中超临界水的各种参数是很难获得的。本文在管式反应器中,以空气作为氧化剂,以实际化工废水作为研究对象,开发设计了一套大型中试超临界水氧化(SCWO)系统,并将所有的反应过程都控制在623.2~793.2K和24MPa的条件下,对此套连续化SCWO中试设备对实际化工废水的处理效果进行了试验研究。试验结果表明:随着反应温度和停留时间的增加,COD的去除率明显升高;通过比较进、出水组分的GC-MS图谱可以看出,原水中存在15种主要难降解有机污染物,包括杂环化合物和多环胺类等,但在出水中仅发现一种有机污染物存在,且其浓度也仅仅约为初始浓度的10%。此外,还对整个SCWO系统的能量衡算进行了分析并得到了能量自平衡的曲面图,结果显示当化工废水的COD浓度在183~437g/L且流速控制在20.83~104.17kg/h的条件下,整个系统即能达到自平衡状态。     

重金属抗性解磷细菌的磷溶解特性研究

从湖南省湘西州花垣县的铅锌矿表层土壤中,筛选出两株具有重金属抗性和解磷特性的细菌T PSB1和T PSB2.通过16S rRNA基因序列比对,分别鉴定为嗜麦芽寡养单胞菌(Stenotrophomonas maltophilia)和唐菖蒲伯克霍尔德菌(Burkholderia gladioli).T PSB1和T PSB2在含有难溶性无机磷液体培养基中,其上清液的可溶性磷含量最高分别达到了402.9 mg·L-1和589.9 mg·L-1;在难溶性有机磷固体和液体培养基中,固体平板上均出现解磷圈,而液体培养基上清液中,可溶性磷含量也分别达到了2.97 mg·L-1和4.69 mg·L-1.另外,两株细菌对重金属Zn2+的抗性最高,在其浓度为2000 mg·L-1固体和液体培养基条件下均可以生长,磷溶解浓度分别为114.8 mg·L-1和125.1 mg·L-1.而在含铬和铅的浓度为1 000 mg·L-1的液体培养基中,两株细菌同样表现出重金属抗性.在Pb2+浓度为1000 mg·L-1的液体培养基中,磷溶解浓度分别达到了57.9 mg·L-1和71.7 mg·L-1;而在Cr2+浓度为1000 mg·L-1的培养基中磷溶解浓度分别为60.1 mg·L-1和98.4 mg·L-1.