Removal of airborne microorganisms emitted from a wastewater treatment oxidation ditch by adsorption on activated carbon

Bioaerosol emissions from wastewater and wastewater treatment processes are a significant subgroup of atmospheric aerosols. Most previous work has focused on the evaluation of their biological risks. In this study, however, the adsorption method was applied to reduce airborne microorganisms generated from a pilot scale wastewater treatment facility with oxidation ditch. Results showed adsorption on granule activated carbon (GAC) was an e cient method for the purification of airborne microorganisms. The GAC itself had a maximum adsorption capacity of 2217 CFU/g for airborne bacteria and 225 CFU/g for fungi with a flow rate of 1.50 m3/hr. Over 85% of airborne bacteria and fungi emitted from the oxidation ditch were adsorbed within 80 hr of continuous operation mode. Most of them had a particle size of 0.65–4.7 m. Those airborne microorganisms with small particle size were apt to be adsorbed. The SEM/EDAX, BET and Boehm’s titration methods were applied to analyse the physicochemical characteristics of the GAC. Relationships between GAC surface characteristics and its adsorption performance demonstrated that porous structure, large surface area, and hydrophobicity rendered GAC an e ective absorber of airborne microorganisms. Two regenerate methods, ultraviolet irradiation and high pressure vapor, were compared for the regeneration of used activated carbon. High pressure vapor was an e ective technique as it totally destroyed the microorganisms adhered to the activated carbon. Microscopic observation was also carried out to investigate original and used adsorbents.     

青岛市不同下垫面微生物气溶胶分布特征

分别在青岛市市区街道、海滨区域、饮用水水源地、城市垃圾填埋场和人工湿地污水处理厂设置监测点,分析比较不同下垫面空气细菌和真菌浓度、日变化和粒径分布. 结果表明:5个下垫面空气细菌浓度依次为城市垃圾填埋场>市区街道>饮用水水源地>海滨区域>人工湿地污水处理厂,真菌浓度依次为城市垃圾填埋场>人工湿地污水处理厂>饮用水水源地>市区街道>海滨区域,其中城市垃圾填埋场空气细菌和真菌浓度最高,分别为(613.1±68.9)、(1300.4±74.3)CFU/m3,其他下垫面空气的细菌和真菌浓度分别在(155.5±14.2)～(596.6±396.4)和(401.9±78.7)～(994.7±63.4)CFU/m3之间. 海滨区域空气细菌浓度下午明显高于上午和中午,其他下垫面表现为上午>下午>中午,但无显著性差异;市区街道、饮用水水源地、人工湿地污水处理厂的空气真菌浓度日变化表现为上午>中午>下午,城市垃圾填埋场则始终升高,除人工湿地污水处理厂和城市垃圾填埋场不同时段间空气真菌浓度有显著性差异外,其余下垫面无显著性差异. 细菌气溶胶粒径分布为F1级(粒径>7.0μm)最高,呈偏态分布;真菌气溶胶粒径呈对数正态分布,除城市垃圾填埋场峰值出现在F3级(3.3~4.7μm)外,其余下垫面均出现在F4级(2.1~3.3μm). 不同下垫面细菌气溶胶中值直径在2.8~4.6μm,存在差异;而不同下垫面空气真菌气溶胶中值直径均在2.0μm左右,无显著性差异.      

西安市不同天气下可培养微生物气溶胶浓度变化特征

为探明天气状况对可培养微生物气溶胶分布特性的影响,于2014年8月-2015年7月利用Anderson六级空气微生物采样器对西安市微生物气溶胶进行采样,通过培养法检测分析了可培养细菌和真菌气溶胶在1 a的月际与季节性浓度变化特征,重点研究了不同天气状况下气溶胶的浓度与粒径分布.结果表明:西安市可培养细菌和真菌气溶胶月均浓度均在10月最高,分别为（1 004.81±546.14）和（765.54±544.36）CFU/m3.可培养细菌和真菌气溶胶的季节平均浓度均在夏季最低,分别为（361.96±56.96）和（280.33±74.43）CFU/m3;不同天气条件下气溶胶的浓度变化为晴天 < 雨天 < 阴云天 < 霾天.可培养细菌气溶胶在晴天、阴云天、雨天和霾天粒径分布的峰值分别出现在3.3~4.7、4.7~7.0、3.3~4.7、3.3~4.7 μm区间上,表现为明显的单峰分布;而可培养真菌气溶胶的粒径分布在非霾天则无显著性差异（P>0.05）.不同天气状况下可呼吸微生物气溶胶均超过总微生物气溶胶的60%.各天气状况下可培养细菌气溶胶的几何中值直径大于真菌气溶胶.      

梅雨期大学宿舍室内生物气溶胶浓度及粒径分布

大学宿舍室内生物气溶胶可通过空气传播,可能会危害学生身体健康.本研究调查了梅雨期大学宿舍室内生物气溶胶浓度和粒径分布特点,对其同空气颗粒物浓度、环境温度和湿度的Spearman相关性进行了研究,分析了学生活动对宿舍室内气溶胶的影响.结果表明,学生宿舍室内的细菌和真菌气溶胶平均浓度分别为(2 133±1 617)CFU·m~(-3)和(3 111±2 202)CFU·m~(-3),真菌气溶胶的浓度明显高于细菌.学生宿舍室内的PM1、PM_(2.5)、PM10与细菌气溶胶浓度呈负相关,与真菌气溶胶浓度呈显著负相关;PM_(2.5)与可吸入细菌气溶胶呈正相关,PM_(10)与可吸入真菌气溶胶呈正相关;环境温度与细菌和真菌气溶胶浓度呈正相关,环境相对湿度与细菌和真菌气溶胶浓度呈负相关.在下午,宿舍室内真菌气溶胶浓度显著增加,上午和下午生物气溶胶的粒径分布有差异.本研究结果将为评价高校学生宿舍室内空气质量提供基础数据.     

Performance and microbial response during the fast reactivation of Anammox system by hydrodynamic stress control

Anaerobic ammonium oxidation （Anammox） has become a promising method for biological nitrogen removal. However, this biotechnology application is always limited due to the low growth rate and biomass yield of Anammox bacteria. This study investigated the process of fast reactivation of an Anammox consortium idled for 2 years uia hydrodynamic stress control. The results showed that the Anammox system was efficiently and quickly reactivated by shortening of the hydraulic retention time （I-IRT） of the reactor from 12 to 6 hr within 68 days of operation. Moreover, at a 4-hr HRT with an influent total nitrogen loading rate of 1.2 kg N/（m3.day）, the reactor maintained high biological performance with an ammonium removal loading rate of 0.52 kg N/（m3.day） and a nitrite removal rate of 0.59 kg N/（m3.day）. In the reactivated Anammox reaction, the stoichiometric coefficients of NH4-N to NOE-N and NH4-N to NO4-N were 1：1.04± 0.08 and 1：0.31 ± 0.03, respectively. The specific Anammox activity and hydrazine oxidoreductase activity, both of which represent the degree of Anammox bacteria present, increased as the hydrodynamic stress increased and were maximally （125.38 ± 3.01 mg N/（g VSS.day） and 339.42 ± 6.83 μmol/（min.g VSS）, respectively） at 4-hr HRT. Microbial response analysis showed that the dominant microbial community was obviously shifted and the dominance of Anammox bacteria was enhanced durinR the hydrodynamic selection.     

青岛近海夏、秋季生物气溶胶分布特征研究

于2009年7～11月采用Andersen生物粒子采样器在青岛近海连续采集了生物气溶胶样品,应用荧光显微镜计数法和平板计数法测定了总微生物(包括"可培养类"和"非可培养类")、"可培养类"陆源及海源微生物的浓度.结果表明,总微生物中"非可培养类"微生物平均占总微生物的99.58%;"可培养类"微生物平均仅为0.42%;...     

Particle number concentration, size distribution and chemical composition during haze and photochemical smog episodes in Shanghai

The aerosol number concentration and size distribution as well as size-resolved particle chemical composition were measured during haze and photochemical smog episodes in Shanghai in 2009. The number of haze days accounted for 43%, of which 30% was severe （visibility 〈 2 km） and moderate （2 km 〈 visibility 〈 3 km） haze, mainly distributed in winter and spring. The mean particle number concentration was about 17,000/cm3 in haze, more than 2 times that in clean days. The greatest increase of particle number concentration was in 0.5-1μm and 1-10 μm size fractions during haze events, about 17.78 times and 8.78 times those of clean days. The largest increase of particle number concentration was within 50-100 nm and 100-200 nm fractions during photochemical smog episodes, about 5.89 times and 4.29 times those of clean days. The particle volume concentration and surface concentration in haze, photochemical smog and clean days were 102, 49, 15 μm3/cm3 and 949, 649, 206 μm2/cm3, respectively. As haze events got more severe, the number concentration of particles smaller than 50 nm decreased, but the particles of 50-200 nm and 0.5-1μm increased. The diurnal variation of particle number concentration showed a bimodal pattern in haze days. All soluble ions were increased during haze events, of which NH4, SO24- and NO3 increased great/y, followed by Na＋, IC, Ca2＋ and CI-. These ions were very different in size-resolved particles during haze and photochemical smog episodes.     

Chemical characteristics of size-resolved aerosols in winter in Beijing

Size-resolved aerosols were continuously collected by a Nano Sampler for 13 days at an urban site in Beijing during winter 2012 to measure the chemical composition of ambient aerosol particles. Data collected by the Nano Sampler and an ACSM(Aerodyne Aerosol Chemical Speciation Monitor) were compared. Between the data sets,similar trends and strong correlations were observed,demonstrating the validity of the Nano Sampler. PM10 and PM2.5concentrations during the measurement were 150.5 ± 96.0 μg/m3(mean ± standard variation)and 106.9 ± 71.6 μg/m3,respectively. The PM2.5/PM10 ratio was 0.70 ± 0.10,indicating that PM2.5dominated PM10. The aerosol size distributions showed that three size bins of 0.5–1,1–2.5 and 2.5–10 μm contributed 21.8%,23.3% and 26.0% to the total mass concentration(TMC),respectively. OM(organic matter) and SIA(secondary ionic aerosol,mainly SO42-,NO3-and NH4+) were major components of PM2.5. Secondary compounds(SIA and secondary organic carbon) accounted for half of TMC(about 49.8%) in PM2.5,and suggested that secondary aerosols significantly contributed to the serious particulate matter pollution observed in winter. Coal burning,biomass combustion,vehicle emissions and SIA were found to be the main sources of PM2.5. Mass concentrations of water-soluble ions and undetected materials,as well as their fractions in TMC,strikingly increased with deteriorating particle pollution conditions,while OM and EC(elemental carbon) exhibited different variations,with mass concentrations slightly increasing but fractions in TMC decreasing.     

南京市生物气溶胶浓度垂直分布和日变化规律

 利用1998年7月的观测资料，对南京市生物气溶胶浓度垂直分布和日变化规律进行了分析、研究结果表明,生物气溶胶浓度随高度增加逐渐减少;细菌浓度最大值为 700 CFU/m³,真菌浓度最大值为1080 CFU/m³ ,与国内其他一些城市相比,浓度比较低,但与国外有关观测结果相比其真菌浓度要高出许多;细菌、真菌和花粉浓度在于24h内呈现出周期性变化规律.     

南京市校园室内空气微生物特征

为调查南京市学校教室内空气微生物污染状况,本研究各选一所幼儿园、小学、初中和大学,每所学校分别随机选取10间教室,采用六级安德森采样器进行空气微生物采样.研究发现,在南京地区所调研的这4所不同类型的学校中,幼儿园室内空气微生物浓度最高,细菌和真菌浓度均值分别为605CFU/m³和648CFU/m³,均显著高于其余3所学校.室内细菌和真菌粒径分布趋同,峰值均出现在Ⅴ级（1.1~2.1μm）.仅在大学教室内,发现环境参数与空气微生物浓度存在显著相关性.幼儿园教室内学生每天吸入的细菌和真菌剂量分别为150.2CFU/kg和160.9CFU/kg,均显著高于其他学校学生.     

Methane and nitrous oxide fluxes from four tundra ecotopes in Ny-Ålesund of the High Arctic

During the summers of 2008 and 2009, net methane（CH4） and nitrous oxide（N2O） fluxes were investigated from 4 tundra ecotopes： normal lowland tundra（LT）, bird sanctuary tundra（BT）, the tundra in an abandoned coal mine（CT） and the tundra in scientific bases（ST） in Ny-Alesund of the High Arctic. Tundra soils in CT（184.5 ± 40.0 μg CH4/（m2·hr）） and ST（367.6 ± 92.3 μg CH4/（m2·hr）） showed high CH4 emissions due to the effects of human activities, whereas high CH4 uptake or low emission occurred in the soils of LT and BT.The lowland tundra soils（mean,-4.4-4.3 μg N2O/（m2·hr）） were weak N2 O sources and even sinks. Bird activity increased N2 O emissions from BT with the mean flux of7.9 μg N2O/（m2·hr）. The mean N2 O fluxes from CT（45.4 ± 10.2 μg N2O/（m2·hr）） and ST（78.8 ± 18.5 μg N2O/（m2·hr）） were one order of magnitude higher than those from LT and BT, indicating that human activities significantly increased N2 O emissions from tundra soils. Soil total carbon and water regime were important factors affecting CH4 fluxes from tundra soils. The N2 O fluxes showed a significant positive correlation with ammonia nitrogen（NH4＋-N） contents（r = 0.66, p 〈 0.001） at all the observation sites, indicating that ammonia nitrogen（NH4＋-N） content acted as a strong predictor for N2 O emissions from tundra soils. The CH4 and N2O fluxes did not correspond to the temperature variations of soil at 0-15 cm depths.Overall our results implied that human activities might have greater effects on soil CH4 and N2O emissions than current climate warming in Ny-Alesund, High Arctic.     

Direct radiative forcing of urban aerosols over Pretoria (25.75°S, 28.28°E) using AERONET Sunphotometer data: First scientific results and environmental impact

The present study uses the data collected from Cimel Sunphotometer of Aerosol Robotic Network（AERONET） for the period from January to December, 2012 over an urban site,Pretoria（PTR; 25.75°S, 28.28°E, 1449 m above sea level）, South Africa. We found that monthly mean aerosol optical depth（AOD, τa） exhibits two maxima that occurred in summer（February） and winter（August） having values of 0.36 ± 0.19 and 0.25 ± 0.14,respectively, high-to-moderate values in spring and thereafter, decreases from autumn with a minima in early winter（June） 0.12 ± 0.07. The Angstrom exponents（α440–870） likewise,have its peak in summer（January） 1.70 ± 0.21 and lowest in early winter（June） 1.38 ± 0.26,while the columnar water vapor（CWV） followed AOD pattern with high values（summer） at the beginning of the year（February, 2.10 ± 0.37 cm） and low values（winter） in the middle of the year（July, 0.66 ± 0.21 cm）. The volume size distribution（VSD） in the fine-mode is higher in the summer and spring seasons, whereas in the coarse mode the VSD is higher in the winter and lower in the summer due to the hygroscopic growth of aerosol particles.The single scattering albedo（SSA） ranged from 0.85 to 0.96 at 440 nm over PTR for the entire study period. The averaged aerosol radiative forcing（ARF） computed using SBDART model at the top of the atmosphere（TOA） was- 8.78 ± 3.1 W/m2, while at the surface it was- 25.69 ± 8.1 W/m2 leading to an atmospheric forcing of ＋ 16.91 ± 6.8 W/m2, indicating significant heating of the atmosphere with a mean of 0.47 K/day.     

天津市典型城区大气碳质颗粒物的粒径分布特征和来源

为分析天津市典型城区大气碳质颗粒物的粒径分布及其来源,于2009年12月—2010年11月采用9级惯性撞击式分级采样器对大气颗粒物进行采样,采用热光碳分析仪分析了颗粒物中的EC(元素碳)和OC(有机碳)的质量浓度. 结果表明:天津市典型城区大气颗粒物中EC和OC主要存在于细颗粒物中,在≤2.1μm的4个细粒径段中,ρ(EC)的加和年均值为(2.6±0.9)μg/m3,占PM₉(空气动力学直径≤9.0μm)ρ(TEC)的72%;ρ(OC)为(21.5±7.7)μg/m3,占PM₉中ρ(TOC)的60%. ρ(EC)和ρ(OC)季节变化显著,在≤2.1μm粒径段中,春、夏、秋、冬季的ρ(EC)分别为(1.7±0.3)、(2.1±0.4)、(3.1±0.5)和(3.7±0.5)μg/m3;ρ(OC)分别为(17.6±0.4)、(14.4±1.1)、(21.9±1.8)和(32.1±2.5)μg/m3. ρ(EC)峰值分别出现在≤0.43、>0.65~1.1和>4.7~5.8μm 3个粒径段,其中最高值出现在≤0.43μm粒径段;ρ(OC)峰值分别出现在>0.65~1.1和>4.7~5.8μm 2个粒径段,最高值出现在>0.65~1.1μm粒径段. 天津市典型城区细颗粒物中的OC、EC主要来自燃煤、机动车和烹饪排放,粗颗粒物中的OC、EC则更多来自于路面和建筑扬尘.      

非灭菌条件下白腐真菌在反应器中的形态特征变化

揭示白腐真菌(Phanerochaete chrysosporium)在反应器中的形态变化有助于了解白腐真菌反应器难以连续运行问题的本质. 在耦合臭氧单元的反应器对酸性蓝45连续降解的过程中,考察了非固定化和固定化菌丝系统中白腐真菌的形态特性变化. 结果表明,在接种量为1 700 mg/L的非固定化系统中,染菌量为7.1×105 CFU/mL,平均脱色率为19%;但菌丝球形态不稳定,运行8~12 d时出现破裂、菌丝脱落、内容物大量流失,污染微生物的生长加剧. 在固定化系统中,接种量为1 700 mg/L时,染菌量降至8.4×104 CFU/mL,平均脱色率升至22%;接种量为4 300 mg/L时,染菌量降至4.7×104 CFU/mL,平均脱色率达29%. 在固定化菌丝系统中,白腐真菌的形态相对稳定,但21 d后,其稳定性降低,也出现了菌丝脱落现象,这与菌丝球或固定化菌丝的内部菌丝老化和自溶有关,可以考虑通过设计新载体从生物膜的内部和外部同时供给营养物和氧气解决该问题.      

4种动物养殖场空气中抗生素耐药菌的生物多样性及群落结构

动物集约化养殖场可向空气环境释放大量微生物,包括抗生素耐药菌甚至是耐药致病菌,危害动物和工人健康并污染周边空气环境.针对以上问题,本研究以四环素和红霉素耐药菌为例,对动物养殖场空气颗粒物负载抗生素耐药菌的生物多样性以及群落结构展开研究.基于高通量测序技术,对比分析动物舍内与舍外颗粒物,以及粪便样品中抗生素耐药菌的生物学差异,并研究驱动以上差异的关键菌属.结果表明,整体上养殖场空气颗粒物负载红霉素耐药菌的生物多样性高于四环素耐药菌,舍内空气颗粒物负载生物的多样性高于粪便样品.细颗粒物和粗颗粒物负载抗生素耐药菌的生物多样性和群落结构均无显著差异.Actinobacteria是导致红霉素耐药菌和其他细菌群落差异的关键菌门之一,Staphylococcus是四环素耐药菌群区别于红霉素耐药菌和全部细菌菌群的关键菌属之一.群落结构研究结果显示,四环素和红霉素耐药菌的优势菌群和群落结构没有显著差异.但粪便和空气颗粒物负载生物的群落结构在属水平上差异显著,优势菌门也有所不同.本研究结果将为准确评估动物养殖场空气环境中抗生素耐药菌污染现状及其生态风险提供基础数据.     

Chemical characteristics and source apportionment of atmospheric particles during heating period in Harbin, China

Atmospheric particles（total suspended particles（TSPs）; particulate matter（PM） with particle size below 10 μm, PM10; particulate matter with particle size below 2.5 μm, PM2.5）were collected and analyzed during heating and non-heating periods in Harbin. The sources of PM10 and PM2.5were identified by the chemical mass balance（CMB） receptor model.Results indicated that PM2.5/TSP was the most prevalent and PM2.5was the main component of PM210, while the presence of PM10–100was relatively weak. SO-4and NO-3concentrations were more significant than other ions during the heating period. As compared with the non-heating period, Mn, Ni, Pb, S, Si, Ti, Zn, As, Ba, Cd, Cr, Fe and K were relatively higher during the heating period. In particular, Mn, Ni, S, Si, Ti, Zn and As in PM2.5were obviously higher during the heating period. Organic carbon（OC） in the heating period was 2–5 times higher than in the non-heating period. Elemental carbon（EC） did not change much. OC/EC ratios were 8–11 during the heating period, which was much higher than in other Chinese cities（OC/EC： 4–6）. Results from the CMB indicated that 11 pollution sources were identified, of which traffic, coal combustion, secondary sulfate, secondary nitrate, and secondary organic carbon made the greatest contribution. Before the heating period, dust and petrochemical industry made a larger contribution. In the heating period, coal combustion and secondary sulfate were higher. After the heating period, dust and petrochemical industry were higher. Some hazardous components in PM2.5were higher than in PM10, because PM2.5has a higher ability to absorb toxic substances. Thus PM2.5pollution is more significant regarding human health effects in the heating period.     

Characteristics of nanoparticles emitted from burning of biomass fuels

The characteristics of the particles of the smoke that is emitted from the burning ofbiomass fuels were experimentally investigated using a laboratory-scale tube furnace and different types of biomass fuels： rubber wood, whole wood pellets and rice husks. Emitted amounts of particles, particle-bound polycyclic aromatic hydrocarbons （PAHs） and water-soluble organic carbon （WSOC） are discussed relative to the size of the emitted particles, ranging to as small as nano-size （〈70 nm）, and to the rate of heating rate during combustion, differential thermal analysis （DTA） and thermogravimetric analysis （TG） techniques were used to examine the effect of heating rate and biomass type on combustion behaviors relative to the characteristics of particle emissions. In the present study, more than 30% of the smoke particles from the burning ofbiomass fuel had a mass that fell within a range of 〈 100 nm. Particles smaller than 0.43 μm contributed greatly to the total levels of toxic PAHs and WSOC. The properties of these particles were influenced by the fuel component, the combustion conditions, and the particle size. Although TC--DTA results indicated that the heating rate in a range of 10-20℃did not show a significant effect on the combustion properties, there was a slight increase in the decomposition temperature as heating rate was increased. The nano-size particles had the smallest fraction of particle mass and particle-bound PAHs, but nonetheless these particles registered the largest fraction of particle-bound WSOC.     

西安市秋冬季市区与山区微生物气溶胶组成特征及来源

为探究城市市区与山区微生物气溶胶组成特征及来源,在西安市市区(城区和郊区)及南郊山区设立3个采样点,采集细颗粒物、土壤及叶片样本.通过高通量测序法,解析不同采样点真菌与细菌群落结构,考察其时空变化特征;使用Source Track源解析技术对空气中微生物进行来源分析.结果表明,不同采样点真菌、细菌菌属差异较大,说明地理位置对空气中微生物的群落结构影响显著;冬季市区检测出较多的潜在真菌致病菌和细菌致病菌,且具有较高的相对丰度和多样性.通过源解析技术发现,在局部源叶片和土壤中,叶片表面微生物是空气中微生物的主要潜在源,且秋季叶片对空气中微生物的贡献率高于冬季.本研究不仅为空气中生物气溶胶的溯源研究提供了一定基础,也为深入了解大气中微生物污染特性和为我国空气环境质量评价与疾病预防提供一定的科学依据.     

垃圾填埋场空气真菌群落结构和时空分布特征

为了解垃圾填埋场空气真菌的群落结构和浓度、粒径的时空分布,在北京市某垃圾卫生填埋场填埋区、渗滤液处理区、生活区分别选定监测点,利用安德森六级微生物采样器,对填埋场空气真菌进行了系统的定点取样和分析.结果表明,除无孢菌外,共出现了15属空气真菌.优势菌属依次为枝孢属(Cladosporium)、曲霉属(Aspergillus)、青霉属(Penicillium)、无孢菌群(Non-sporing).填埋区和渗滤液处理区空气真菌浓度约为1 750 CFU.m-3,明显高于生活区(p0.05).2006年4月~2007年1月空气真菌浓度变化曲线呈双峰型,2个高峰分别出现在5月和9~10月,浓度可达5 000 CFU.m-3以上.填埋区4~7月空气真菌09:00~11:00的浓度低于15:00~16:00,在8月~次年1月趋势相反.空气真菌粒子在Ⅲ~Ⅴ级约占总数的75%.填埋区和渗滤液处理区的空气真菌中值直径均为2.9μm,生活区为2.8μm,3个功能区空气真菌的中值直径没有差异(p0.05).