Simultaneous determination of estrogenic odorant alkylphenols,chlorophenols, and their derivatives in water using online headspace solid phase microextraction coupled with gas chromatography-mass spectrometry

A simple online headspace solid-phase microextraction (HS-SPME) coupled with the gas chromatography-mass spectrometry (GC-MS) method was developed for simultaneous determination of trace amounts of nine estrogenic odorant alkylphenols and chlorophenols and their derivatives in water samples. The extraction conditions of HS-SPME were optimized including fiber selection, extraction temperature, extraction time, and salt concentration. Results showed that divinylbenzene/Carboxen/polydimethylsiloxane (DVB/CAR/PDMS) fiber was the most appropriate one among the three selected commercial fibers, and the optimal extraction temperature, time, and salt concentration were 70 °C, 30 min, and 0.25 g/mL, respectively. The developed method was validated and showed good linearity (R ²?>?0.989), low limit of detection (LOD, 0.002–0.5 μg/L), and excellent recoveries (76–126 %) with low relative standard deviation (RSD, 0.7–12.9 %). The developed method was finally applied to two surface water samples and some of these target compounds were detected. All these detected compounds were below their odor thresholds, except for 2,4,6-TCAS and 2,4,6-TBAS wherein their concentrations were near their odor thresholds. However, in the two surface water samples, these detected compounds contributed to a certain amount of estrogenicity, which seemed to suggest that more attention should be paid to the issue of estrogenicity rather than to the odor problem.     

Vehicle emission implications of drivers’ smart advisory system for traffic operations in work zones

Wireless communication systems have been broadly applied in various complicated traffic operations to improve mobility and safety on roads, which may raise a concern about the implication of the new technology on vehicle emissions. This paper explores how the wireless communication systems improve drivers’ driving behaviors and its contributions to the emission reduction, in terms of Operating Mode (OpMode) IDs distribution used in emission estimation. A simulated work zone with completed traffic operation was selected as a test bed. Sixty subjects were recruited for the tests, whose demographic distribution was based on the Census data in Houston, Texas. A scene of a pedestrian’s crossing in the work zone was designed for the driving test. Meanwhile, a wireless communication system called Drivers Smart Advisory System (DSAS) was proposed and introduced in the driving simulation, which provided drivers with warning messages in the work zone. Two scenarios were designed for a leading vehicle as well as for a following vehicle driving through the work zone, which included a base test without any wireless communication systems, and a driving test with the trigger of the DSAS. Subjects’ driving behaviors in the simulation were recorded to evaluate safety and estimate the vehicle emission using the Environmental Protection Agency (EPA) released emission model MOVES. The correlation between drivers’ driving behavior and the distribution of the OpMode ID during each scenario was investigated. Results show that the DSAS was able to induce drivers to accelerate smoothly, keep longer headway distance and stop earlier for a hazardous situation in the work zone, which driving behaviors result in statistically significant reduction in vehicle emissions for almost all studied air pollutants (p-values range from 4.10E-51 to 2.18E-03). The emission reduction was achieved by the switching the distribution of the OpMode IDs from higher emission zones to lower emission zones.

Implications: Transportation section is a significant source of greenhouse gas emissions. Many studies demonstrate that the wireless communication system dedicated for safety and mobility issues may contribute to the induction in vehicle emissions through changing driving behaviors. An insight into the correlation between the driving behaviors and the distribution of Operating Mode (OpMode) IDs is essential to enhance the emission reduction. The result of this study shows that with a Drivers Smart Advisory System (DSAS) drivers accelerated smoothly and stopped earlier for a hazardous situation, which induce the switch of the OpMode IDs from high emission zones to lower emission zones.     

分子筛吸附法脱除废水中的聚丙烯酰胺

聚丙烯酰胺(PAM)用于油田驱油产生大量难处理的含聚废水。以分子筛为吸附剂处理含聚废水,研究分子筛类型(Y、Beta和ZSM-5,H型和Na型)和物化性质对其吸附PAM性能的影响,并测定吸附等温线。结果表明,吸附性能顺序为BetaYZSM-5,H型优于Na型。H-Beta对PAM的吸附来自分子筛中阳离子与PAM中阴离子的静电作用,Si—O和Al—OH与PAM中酰胺基的氢键作用。H-Beta开放的通道结构,较高的介孔比例和表面积,较强的酸性和良好的酸中心可接近性使其具有优异的吸附性能。Si O2/Al2O3=26的H-Beta对浓度为200 mg/L的PAM溶液,PAM脱除率可达95.2%。在低PAM平衡浓度时,PAM在H-Beta上的吸附符合Langmuir单层吸附特征,饱和吸附量达70.2 mg/g,在高浓度区域则由于PAM疏水缔合作用加强呈现多层吸附。     

生物膜MBR反应器和MBR反应器处理洗涤废水比较

比较生物膜MBR反应器和MBR反应器处理洗涤废水的效果。结果表明,两个系统对COD、LAS及氨氮的去除均具有良好的处理效果。和MBR反应器相比,生物膜MBR反应器的运行条件要好。生物膜MBR反应器的运行条件:水力停留时间(HRT)4～4.5h,气水比351∶,而MBR反应器的运行条件:水力停留时间(HRT)9～10h,气水比451∶。通过两个反应器抗冲击负荷实验的研究,结果表明,在进水水质相同的条件下,就膜生物反应器的上清液而言,生物膜MBR反应器具有更好的抗冲击负荷能力。     

变频控制DO下SBR硝化反应控制参数及节能的中试研究

根据微生物好氧反应的需氧量调节曝气量在当今能源紧缺的形势下具有十分重要的意义.为了研究曝气量大小对SBR实时控制参数pH、DO的影响,采用变频器调节曝气量以控制系统不同的DO浓度,以60 m3中试SBR反应器处理北京市北小河污水处理厂城市污水,考察了硝化过程中pH值、DO与有机物去除及硝化过程的相关性,并引入了新的控制参数--变频频率f.试验结果表明,控制溶解氧浓度较低时,pH值不能作为硝化结束的控制参数,但可根据变频频率f的特征点判断硝化反应的结束;控制溶解氧为3.0 mg/L和4.0 mg/L时,DO、pH值、变频频率f都可作为硝化结束的控制参数,同时,变频控制可有效降低单位时间内风机的能耗.     

预处理后的活性污泥对锌吸附的研究

剩余活性污泥处理是当今的热点问题,从活性污泥资源化的角度出发,将活性污泥加工成为锌离子的生物吸附剂,比较了8种方法预处理后的活性污泥对锌的吸附效果,分析了这8种方法对污泥吸附能力的影响机理.对经过NaOH和H2O2处理的污泥的吸附特性和影响因素进行了研究,结果表明该吸附过程符合Psemio-seconal Order吸附动力学模型及Freunomch吸附等温模型,低pH不利于吸附,适当提高温度可以增强吸附效果,增加污泥吸附剂浓度可以增加金属离子去除率,但是单位质量吸附剂吸附金属离子的量减小.用红外光谱对比的手段对吸附机理进行了探讨,结果表明污泥颗粒表面一些含氮氧的基团对zn.'的络合作用是主要的吸附机理.该研究在污泥资源化和废水中锌离子的去除方面有重要意义.     

自然土壤中苯酚降解菌的分离和系统发育分析

采用富集培养的方法,从未受苯酚污染的自然土壤中分离得到5株能以苯酚为唯一碳源生长的细菌.根据生理生化特性和系统发育分析对它们进行了初步鉴定,菌株PHD-2为Ralstonia sp.,菌株 PHD-4为Acinetobacter sp.,菌株PHD-5 为Microbacterium sp.,菌株PHD-1和PHD-3均为Pseudomonas sp.,16S rRNA基因序列的同源性比较和系统发育分析表明自然土壤中的苯酚降解菌具有丰富的多样性.     

Ce(Ⅲ)对UV-B辐射胁迫下大豆幼苗光化学反应的影响

用水培法研究Ce(Ⅲ)对UV-B辐射胁迫下大豆幼苗光化学反应的影响.结果表明, 20 mg·L^-1 CeCl₃使大豆幼苗净光合速率(Pn)、Hill反应、Mg²⁺-ATPase活性与光合磷酸化活力4项指标较对照提高23.2%～14.3%; 有效抑制UV-B辐射(T₁=0.15 W·m^-2和T₂=0.45 W·m^-2)胁迫下4项指标下降, 4项指标降幅［Ce(Ⅲ)+T₁为36.6%～15.9%,Ce(Ⅲ)+T₂为65.6%～33.2%］小于对应的UV-B辐射组(T₁为50.9%～23.3%,T₂为77.3%～51.4%). 动态变化显示, Ce(Ⅲ)减缓了胁迫期4项指标的下降趋势,促进了恢复期4项指标上升幅度. 说明Ce(Ⅲ)通过减轻UV-B辐射对大豆幼苗光化学反应的伤害, 遏制UV-B辐射胁迫下大豆幼苗Pn下降.     

饮马河流域长春段污染现状与水环境负荷演变特征

为研究饮马河流域长春段水质污染现状和污染负荷演变特征,以饮马河流域长春段的五个国考断面为水质监测点,通过对国考断面水体水质中含有的COD、NH3-N、TP浓度的检测分析,研究区域的水质污染现状和不同水期对污染负荷的影响规律,同时对2020年各考核断面的污染负荷进行估算.经估算,在2020年,计算单元总的COD负荷年排放...     

基于模糊数学理论的尾矿库环境质量综合评价

尾矿库的环境对其周边地区的环境有着重大的影响.建立了尾矿库的环境质量模糊综合评价指标体系,通过专家打分法确定了某尾矿库各层评价指标的权重以及第3层次的模糊关系综合矩阵,并对此尾矿库的环境质量进行了模糊综合评价.最后得出结论:该尾矿库的环境质量综合评价等级为"中".